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    Employee Well-Being in Hybrid Work Environments: Balancing Productivity, Preventing Digital Burnout, and Promoting Mental Health in the Era of Remote and Flexible Work

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    Study examined the impact of hybrid work conditions on employee productivity, digital burnout, mental health outcomes, and organizational well-being support among professionals across technology, education, and finance sectors. Drawing on responses from 320 participants, the results revealed that hybrid work significantly improved flexibility, focus, and goal achievement while reducing commuting-related fatigues. However, a considerable proportion of employees reported moderate to high levels of digital burnout, primarily linked to mental exhaustion, difficulty disconnecting, and reduced motivation for online meetings. Advanced analyses revealed sector and gender disparities in burnout, with the education sector and female employees at higher risk. Screen time and meeting load were key predictors of burnout, while organizational support was a critical buffer. A mediated model confirmed that digital burnout partially explains the negative impact of screen time on job satisfaction, an effect that is weakened by strong organizational support. Despite these challenges, most participants maintained positive mental health outcomes, including satisfactory work-life balance and job satisfaction, reflecting the buffering role of perceived organizational support for well-being, such as flexible scheduling and mental health initiatives. The findings highlight the dual nature of hybrid work: it enhances productivity and autonomy while also intensifying screen fatigue and emotional strain. These insights contribute to the growing literature on post-pandemic work structures, emphasizing the need for human-centered organizational policies and sustainable digital engagement strategies. The study concludes that maintaining employee well-being in hybrid models requires proactive managerial support, structured communication, and digital detox initiatives. 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    Effects of Contextual Cues on False Memory: A Comparative Experimental Approach

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    Research on false memory formation using the Deese-Roediger-McDermott (DRM) paradigm has been extensively conducted in Western contexts. Yet, a significant gap remains in experimental investigations within South Asian populations, particularly in Pakistan. Existing studies, such as those on the Visual Mandela Effect, have explored collective false memories; however, they lack controlled experimental manipulation of contextual variables. To address this gap, the study examined the impact of contextual cues, both visual and auditory, and the effect of no contextual cues, on false memory formation. Sixty participants (aged 18–40) were randomly assigned to one of three groups: Visual and Auditory Cues, Visual Cues only, and Word List only. Each group was presented with three semantically themed DRM word lists across three recall blocks. A between-subjects one-way ANOVA revealed statistically significant differences in the recall of critical lures across groups, with the highest false memory incidence observed in the combined cue condition, [F (2,57) = 14.505, p < .001, η² = .337]. Post hoc analyses further confirmed that exposure to multimodal cues significantly increased susceptibility to false memories compared to the control condition. However, a repeated-measures of ANOVA indicated no significant change in critical lure recall across the three blocks within groups. Additionally, the control group demonstrated higher accurate recall and lower intrusion rates. These findings underscore the role of sensory contextual cues in modulating memory distortion and contribute novel cross-cultural evidence to the literature on memory and cognition. The study holds implications for legal, clinical, and educational settings where memory accuracy is critical. References Ahmed, W., Imtiaz, K., Muzammil, M., & Khan, S. M. (2025). 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Tricks of memory. Current Directions in Psychological Science, 9(4), 123–127. https://doi.org/10.1111/1467-8721.00075 Schacter, D. L., & Loftus, E. F. (2013). Memory and law: What can cognitive neuroscience contribute? Nature Neuroscience, 16(2), 119–123. https://doi.org/10.1038/nn.3294 Sharkawy, J. E., Groth, K., Vetter, C., Beraldi, A., & Fast, K. (2008). False memories of emotional and neutral words. Behavioural Neurology, 19(1–2), 7–11. https://doi.org/10.1155/2008/587239 Slotnick, S. D., & Schacter, D. L. (2004). A sensory signature that distinguishes true from false memories. Nature Neuroscience, 7(6), 664–672. https://doi.org/10.1038/nn1252 Smith, R. E., & Engle, R. W. (2011). Study modality and false recall. Experimental Psychology, 58(2), 117–124. https://doi.org/10.1027/1618-3169/a000076 Smith, S. M., & Vela, E. (2001). 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Encoding specificity and retrieval processes in episodic memory. Psychological Review, 80(5), 352–373. https://doi.org/10.1037/h0020071 Unsworth, N. (2019). Individual differences in long-term memory. Psychological Bulletin, 145(1), 79–139. https://doi.org/10.1037/bul000017

    Global Currents and Local Narratives: Identity Transformations in Contemporary Pakistani Cinema

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    This article examines the impact of globalization on Pakistani cinema, focusing on how global exposure is reshaping storytelling, cultural identity, and audience perception. It investigates the dual nature of globalization as both a catalyst for modernization and a potential threat to local authenticity. The study specifically analyses how viewers perceive the interplay between global neoliberal influences and indigenized representations in contemporary Pakistani films. A quantitative research design was employed, utilizing a structured questionnaire administered to 300 respondents from diverse backgrounds, including students, media professionals, and academics. The instrument contained 25 Likert-scale statements measuring five key dimensions: globalization in cinema, representation of local identity, transformation of cinematic identity, effects of media globalization, and audience satisfaction. Data were analysed using descriptive and inferential statistics to identify trends, correlations, and differences in audience responses. Ethical considerations such as informed consent and confidentiality were strictly maintained. The results indicate that globalization has contributed to the revival of Pakistani cinema through improved storytelling, production quality, and global recognition. Respondents widely agreed that exposure to international film trends fosters creativity and technical innovation. However, a significant number also expressed concerns about the erosion of traditional values and the prevalence of westernized narratives. This reveals a preference for a hybrid cinematic model that merges global aesthetics with local themes. Audiences emphasized the need to preserve cultural heritage while embracing modernization for sustainable industry growth. The study concludes that globalization presents both an opportunity and a challenge, necessitating a balanced approach that integrates innovation with authenticity to ensure the industry flourishes without losing its cultural identity. References Afshar, M. Z., & Shah, M. H. (2025). Examining the role of change management in enhancing organizational resilience in public sector entities. Center for Management Science Research, 3(3), 931–942. Afshar, M. Z., & Shah, M. H. (2025). Leveraging Porter\u27s diamond model: Public sector insights. The Critical Review of Social Sciences Studies, 3(2), 2255–2271. Afzal-Khan, F. (2024). Queer performativities in Pakistan: A postcolonial femiqueer reading of a film and two drama serials. Interventions, 26(8), 1166–1188. https://doi.org/10.1080/1369801X.2023.2172547 Ahmad, A. N. (2016). Explorations into Pakistani cinema: Introduction. Screen, 57(4), 468–479. https://doi.org/10.1093/screen/hjw043 Ahmed, S. (2022). Gender roles in contemporary cinema: A cross-national analysis. Global Media and Social Sciences Research Journal, 3(1), 11–19. Asif, M. (2021). Contingent effect of conflict management towards psychological capital and employees’ engagement in financial sector of Islamabad [Doctoral dissertation, Preston University, Kohat, Islamabad Campus]. Choonara, S. (2017). Cinema and society, film and social change in Pakistan. Pakistan Journal of Historical Studies, 2(1), 47–54. Datoo, A. K. (2010). Media and youth identity in Pakistan: Global-local dynamics and disjuncture. Journal of Alternative Perspectives in the Social Sciences, 2(1). Farooqui, J. (2024). Stolen glances, dances, and female empowerment: Evolving representations of romance in Pakistani cinema. Heritage: International Journal of Linguistics and Literature, 1(2), 1–17. Iqbal, T., Shaheen, F., & Mir, B. A. (2025). Linguistic portrayals of gender, ethnicity, and social class in Pakistani television. Policy Journal of Social Science Review, 3(10), 308–321. Jan, A., Jamil, T., & Rehman, K. U. (2025). Cultural representation and hybrid identity formation in Punjabi cinema: Exploring the Punjabi diaspora in North America. The Regional Tribune, 4(1), 109–122. Jin, D. Y. (2012). Transforming the global film industries: Horizontal integration and vertical concentration amid neoliberal globalization. International Communication Gazette, 74(5), 405–422. https://doi.org/10.1177/1748048512445473 Kayal, S., & Saha, R. (2022). Diasporic identities and their representation through cinema: An analysis of diasporic film through South Asian cinemas. Медиаобразование, (1), 88–96. Khan, M. B., Shams, M., Tamour, F. A., Ahmad, F., & Qadeer, M. (2025). Globalization and cultural transformation: Analyzing identity shifts in Pakistan cinema. The Critical Review of Social Sciences Studies, 3(3), 2434–2445. Latif, A., Rizvi, S. F. A., & Zaman, H. (2025). Merging tradition and modernity: The cultural significance of Lollywood film posters. ACADEMIA International Journal for Social Sciences, 4(2), 237–256. Lorenzen, M. (2007). Internationalization vs. globalization of the film industry. Industry and Innovation, 14(4), 349–357. https://doi.org/10.1080/13662710701541619 Malik, A. S., & Akhtar, R. N. (2019). Role of cinema in identity construction in India and Pakistan after Partition 1947. Review of Economics and Development Studies, 5(3), 521–530. Masood, N., & Bilal, A. (2024). The socio-cultural identities of local films and reception on global platforms. Human Nature Journal of Social Sciences, 5(2), 306–312. Pathak, D. N. (2017). Melodramatic South Asia: In quest of local cinemas in the region. Journal of Human Values, 23(3), 167–177. https://doi.org/10.1177/0971685817701243 Ramzan, A., & Naseer, M. (2022). Frequency of transnational trends and Pakistani commercial cinema: A study on foreign talent, foreign locations and obscenity in Pakistani movies. Global Digital & Print Media Review, 5(4), 38–53. Raw, L. (2017). Audiences, literacies and adaptations. Literature/Film Quarterly, 45(4). Rizwan, R. (2023). Outside the imagined community: Pashtun subjects in contemporary Pakistani cinema. South Asian Popular Culture, 21(1), 25–40. https://doi.org/10.1080/14746689.2022.2154993 Salam, S., & Salam-Salmaoui, R. (2025). Who owns womanhood? ‘Churails,’ mimicry, hybridity, and the reclamation of gender roles in postcolonial Pakistan. Feminist Media Studies, 25(5), 1292–1314. https://doi.org/10.1080/14680777.2025.1012345 Sattar, H. A., Ashraf, A., & Hassan, Z. (2024). Generative artificial intelligence and the media industries: Collective consequences for journalism, advertising, and public relations. Journal of Computational Informatics & Business, 2(2), 70–77. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach (7th ed.). John Wiley & Sons. Shafiq, Z., Sharif, M. M., Malik, W., & Shafiq, F. (2020). ‘Remaking\u27 the genre cinema of South Asia. Pakistan Vision, 21(1), 120. Shams, M. A., Sattar, H. A., Ahmad, F., Shahid, U., & Bashir, B. (2025). Assessing the digital divide and its implications in Pakistan: The role of media. Journal of Media Horizons, 6(5), 720–744. https://jmhorizons.com/index.php/journal/article/view/847 Siddique, S. (2019). Archive filmaria: Cinema, curation, and contagion. Comparative Studies of South Asia, Africa and the Middle East, 39(1), 196–211. https://doi.org/10.1080/10894160.2018.1553217 Zhabskiy, M. I., & Tarasov, K. A. (2024). Globalization of cinematographic communication. Russian Journal of World Politics and Law of Nations, 2(2), 74–91

    Academic Needs of Madaris in 21st Century: A Study of Madaris in Tehsil Minchinabad, District Bahawalnagar, South Punjab

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    This comprehensive study investigates the evolving academic needs of Pakistani Madaris in the contemporary educational landscape. As institutions that have preserved Islamic scholarship for centuries, Madaris now face mounting pressure to adapt their traditional pedagogical approaches to meet 21st century learning demands. The research employed a mixed-methods approach to evaluate institutional capacity, pedagogical effectiveness, and resource adequacy across 101 registered Madaris in Tehsil Minchinabad. Through purposive sampling, researchers selected 10 representative institutions (comprising 8 male and 2 female residential Madaris) for in-depth analysis, collecting data from 100 respondents via structured interviews and systematic observation. The findings reveal systemic challenges across multiple dimensions of educational delivery. Infrastructure deficiencies emerged as particularly acute, with 78% of surveyed institutions lacking proper classroom facilities and 85% reporting inadequate student-teacher ratios. The curriculum analysis showed minimal integration of modern subjects, with only 12% of Madaris offering basic computer literacy and 8% including vocational training components. Library resources were found to be predominantly theological (92%), with severe shortages in contemporary reference materials. Financial constraints were universally identified as the primary barrier to improvement, with 93% of respondents reporting annual budgets insufficient for basic maintenance, let alone modernization. Notably, the study uncovered significant disparities between male and female Madaris in resource allocation and educational outcomes. Female institutions received 37% less funding on average while serving 22% more students per teacher. Despite these challenges, 68% of students expressed strong interest in curriculum modernization if core religious studies were preserved. The research recommends immediate policy interventions including: standardized funding formulas tied to performance metrics; mandatory teacher training programs; phased curriculum reforms integrating STEM subjects; and public-private partnerships for infrastructure development. These measures would enable Madaris to maintain their religious identity while equipping students with skills for socioeconomic participation in modern Pakistan. References Abdalla, A., Nimer, M. A., Nasser, I., Kadayific, A., Kunkle, L., & Kilani, S. (2006). Improving the quality of Islamic education in developing countries: Innovative approaches. Creative Associates International. Ahmed, S. G., & Asghar, S. (2015). Human resource management of female teachers in Deeni Madaris in Pakistan. The Islamic Culture "As-Saqafat-ul Islamia", 34, 21-39. Andrabi, T., Das, J., Khwaja, A. I., & Zajonc, T. (2006). Religious school enrollment in Pakistan: A look at the data. Comparative Education Review, 50(3), 446-477. https://doi.org/10.1086/503885 Anjum, U. (2017). Assessing the need of modern education in Madrassah system: A case study of Madaris in Lahore [Unpublished master\u27s thesis]. University of Punjab. Asadullah, M. N. (2007). Student achievement conditioned upon school selection: Religious and secular secondary school quality in Bangladesh. Education Economics, 15(3), 333-353. https://doi.org/10.1080/09645290701273655 Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6th ed.). Routledge. Dogar, N. T. (2010). Madrasa reforms - Problems & prospects. National Defense University Journal, 9, 45-62. Fakhar-ul-Islam. (2009). Reforms in religious Madaris of Pakistan. Study Centre Journal, University of Peshawar, 4(2), 205-206. Fandy, M. (2007). Enriched Islam: The Muslim crisis of education. Survival, 49(2), 77-98. https://doi.org/10.1080/00396330701254577 Fatima, S. (2013). Reforming Madrasa education in Pakistan; Post 9/11 perspectives. Journal of Islamic Thought and Civilization, 3(1), 45-60. Frankel, K., & Wallen, E. (2009). How to design and evaluate research in education (7th ed.). McGraw-Hill. Huma, K., & Kushwaha, M. (2016). A review paper on Muslim education in India. Journal of International Academic Research for Multidisciplinary, 4(1), 43-44. Hussain, S., Awan, H. M. A., & Ahmad, M. S. (2022). Muslim educational system in the sub-continent. Al-Qamar, 5 (1), 99-106. Husain, S. M. A. (Ed.). (2005). Madrasa education in India: Eleventh to twenty first century. Kanishka Publishers. Hyat, K. (2008, September 25). No room for doubt and division. Dawn. https://www.dawn.com Iqbal, M., Yousaf, M., Shaheen, A. K., & Nisa, Z. U. (2023). Barriers to modern education in Madrasas of Pakistan: Student and teacher\u27s perceptions. Journal of Positive School Psychology, 7(2), 31-40. Khalid, S. M. (2004). Dini Madaris men Taleem. Institute of Policy Studies. Lukens-Bull, R. A. (2001). Two sides of the same coin: Modernity and tradition in Islamic education in Indonesia. Anthropology & Education Quarterly, 32(3), 350-372. https://doi.org/10.1525/aeq.2001.32.3.350 Malik, J. (2008). Madrassa in South Asia. Routledge. Mei, Y. L., John, K. W., & Zhaohong, W. (2006). Impact of school facilities on working behavior of teachers. International Journal of Educational Development, 26(4), 442-453. Mohi-ud-Din Qadri, H. (2018). Foreign, political, and financial influences on religious extremism: A study of Madrassas in Punjab, Pakistan. Counter Terrorist Trends and Analyses, 10(4), 5-11. Muhammad, N. (2012). Madaris of Pakistan and challenges of modern world. Gomal University Journal of Research, 28(2), 39-51. National Education Management Information System. (2015). Pakistan education statistics 2013-2014. Ministry of Education, Government of Pakistan. Parker, L., & Raihani, R. (2009). Governing Madrasah (Policy Brief No. 4). Australia Indonesia Governance Research Partnership. Pervez, H. B. (2006). Education reform in Pakistan - Challenges and prospects. Quaid-e-Azam University. Qasmi, M. S. (2005). Madrasa education framework. Markazul Ma\u27arif Education and Research Centre. Rahman, T. (2008). Madrasas: The potential for violence in Pakistan. In J. Malik (Ed.), Madrasas in South Asia: Teaching terror (pp. 45-62). Routledge. Rao, N., & Hossain, M. I. (2011). Confronting poverty and educational inequalities: Madrasas as a strategy for contesting dominant literacy in rural Bangladesh. International Journal of Educational Development, 31(6), 623-633. https://doi.org/10.1016/j.ijedudev.2011.01.012 Sajjad, M. (2005). Resisting colonialism and communalism by Madrasas of colonial Bihar. In S. M. A. Hussain (Ed.), Madrasa education in India: Eleventh to twenty first century (pp. 112-130). Kanishka Publishers. Shahzad, A., Kami, S., Khalid, A., & Reshi, A. (2014). The issues of Madrasa students in Pakistan: A qualitative investigation. Journal of Arts and Social Sciences, 1(1), 45-56. Siddiqui, I. H. (2005). Madrasa education in medieval India. In S. M. A. Hussain (Ed.), Madrasa education in India: Eleventh to twenty first century (pp. 45-67). Kanishka Publishers. Sodhar, Z., & Rasool, S. (2013). Madarsa system of education in Pakistan: Challenges and issues. International Research Journal of Arts and Humanities, 41, 45-56. Solaiman, S. M. (2021). Challenges of Madaris educational system in educating the youth in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines. Journal of Social and Political Sciences, 4(1), 45-56. https://doi.org/10.31014/aior.1991.04.01.261 Suyuti, J. (2004). Al-Jame al-sagheer (Hadith No. 3913). Dar ul Kutub Al-Ilmiyya. Sudhar, Z. U. A., Rasool, S., & Khair-un-Nisa. (2013). Madarsa system of education in Pakistan: Challenges and issues. International Research Journal of Arts & Humanities, 41, 45-56. Sulaiman, F. (2013). Power, education equality, and national development. In M. N. Amutabi (Ed.), Studies in culture, gender and education in Africa (pp. 112-130). Catholic University of Eastern Africa. Zakar, M. (2001). Dual system of education official and Madrassas system and poverty persistence in Pakistan. Al-Siyasa, 1, 8-28. Zaman, M. H. (2001). Problems of minorities education. Book Links Corporation. Zia, R. (2007). Transmission of values in Muslim countries: Religious education and moral development in school curricula. In S. M. A. Hussain (Ed.), Madrasa education in India: Eleventh to twenty first century (pp. 131-145). Kanishka Publishers

    How can Financial Literacy Mitigate the Relationship between Behaviour Biases and Investment Decision-making? Evidence from Pakistan Stock Exchange

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    The study aims to analyse the influence of behavioural biases, such as overconfidence, risk aversion, and herding on investment decision-making. The authors additionally investigate how financial literacy moderates the association between behaviour biases and investing decision-making. The study employed a cross-sectional research design. The survey gathered data from 284 individual investors of Pakistan Stock Exchange (PSX) using a standardized questionnaire. The validity and reliability of the data were assessed using the Cronbach\u27s alpha test, respectively. The study employed regression analysis to test the hypothesis. The study findings indicate that risk-aversion and herding have a negative and statistically significant impact on investment decision-making among investors. On the other hand, overconfidence has a positive and statistically significant influence on investment decision-making. Research has shown that financial literacy has a notable impact on the investment choices made by investors. The statistical analysis revealed that the interface effect of financial literacy with overconfidence, risk aversion, and herding was shown to be significant among individual investors. According to this current research, the study is particularly useful for portfolio managers and politicians when creating investment portfolios for investors, taking into account their behavioural biases. The study suggests that investors should participate in training programmers and seminars to improve their financial literacy and understanding. This would enable them to effectively address behavioural biases while making investment decision-making. The present study seeks to investigate the potential impact of various behavioural biases on investment decision-making. Additionally, the authors aim to investigate if these connections are influenced by the level of financial knowledge. Financial knowledge may play a significant role in predicting investments. This study is maybe the first to investigate the moderating impact of financial literacy on the investors in the PSX. References Almansour, B. Y., Elkrghli, S., & Almansour, A. Y. (2023). Behavioral finance factors and investment decisions: A mediating role of risk perception. Cogent Economics & Finance, 11(2), 2239032. https://doi.org/10.1080/23322039.2023.2239032 Andersson, U., Cuervo-Cazurra, A., & Nielsen, B. B. (2020). Explaining interaction effects within and across levels of analysis. Research methods in international business, 331-349. https://doi.org/10.1007/978-3-030-22113-3_15 Apergis, N. (2023). The role of COVID-19 in herding: evidence from the Croatian stock market. Applied Economics, 1-11. https://doi.org/10.1080/00036846.2023.2168032 Asif, M., Pasha, M. A., & Shahid, A. (2025). Energy scarcity and economic stagnation in Pakistan. Bahria University Journal Of Management & Technology, 8(1). Butt, H., Sajjad, A., Awan, K. Z., & Shakil, M. H. (2023). The Role of Behavioral Factors on Investment Decision Making: Moderating Role of Financial Literacy. Pakistan Journal of Humanities and Social Sciences, 11(4), 4533-4547. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555 E Kaniz , R., Rahman Lindon, A., Rahman, M. A., Hasan, M. A., & Hossain, A. (2025). The Impact of Project Management Strategies on the Effectiveness of Digital Marketing Analytics for Start-up Growth in the United States. Inverge Journal of Social Sciences, 4(1), 8–24. https://doi.org/10.63544/ijss.v4i1.109 Ensafi, M., Thabet, W., Afsari, K., & Yang, E. (2023). Challenges and gaps with user-led decision-making for prioritizing maintenance work orders. Journal of Building Engineering, 66, 105840. https://doi.org/10.1016/j.jobe.2023.105840 Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis (7th ed.). Prentice Hall. Han, X., Zhang, H., & Zhu, W. (2023). The impact of digital finance on women\u27s bargaining power: Evidence from China. China Economic Review, 78, 102007. https://doi.org/10.1016/j.chieco.2023.102007 Hassan Al‐Tamimi, H. A., & Anood Bin Kalli, A. (2009). Financial literacy and investment decisions of UAE investors. The Journal of Risk Finance, 10(5), 500-516. https://doi.org/10.1108/15265940911001385 Hon, T. Y., Moslehpour, M., & Woo, K. Y. (2021). Review on behavioral finance with empirical evidence. Advances in Decision Sciences, 25(4), 1-30. Huang, Y., Baruah, B., & Ward, T. (2023). Founder-entrepreneurs\u27 personality characteristics and their influence on risk strategies within high-tech software SMEs in China. International Journal of Business Continuity and Risk Management, 13(2), 138-164. Inyang, U., G. Etuk, S., & Effiom, M. (2024). Employees’ Assessment of Impact of Information Systems on Operational Efficiency of Insurance Companies. Inverge Journal of Social Sciences, 3(3), 1–12. https://doi.org/10.63544/ijss.v3i3.86 Kurdoglu, R. S., Ates, N. Y., & Lerner, D. A. (2023). Decision-making under extreme uncertainty: eristic rather than heuristic. International Journal of Entrepreneurial Behavior & Research, 29(3), 763-782. https://doi.org/10.1108/IJEBR-05-2022-0414 Lin, B., & Wang, C. (2023). Does industrial relocation affect regional carbon intensity? Evidence from China\u27s secondary industry. Energy Policy, 173, 113339. https://doi.org/10.1016/j.enpol.2022.113339 Lin, H. M., Wu, J. Y., Liang, J. C., Lee, Y. H., Huang, P. C., Kwok, O. M., & Tsai, C. C. (2023). A review of using multilevel modeling in e-learning research. Computers & Education, 198, 104762. Lin, H. W. (2011). 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    Enhanced Product Review Recommendations Using Collaborative Filtering and Singular Value Decomposition

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    Recommender systems have become indispensable tools for enhancing user satisfaction and engagement across diverse business sectors, including online marketplaces, streaming services, and e-commerce platforms. This research proposes and evaluates an advanced product review recommendations system that leverages collaborative filtering techniques to deliver personalized and accurate suggestions. By integrating memory-based and model-based collaborative filtering approaches, the system effectively analyses user-item interactions to predict preferences. A key innovation of this study is the application of Singular Value Decomposition (SVD) to decompose the user-item matrix, which not only improves prediction efficiency but also reduces computational demands by addressing data sparsity and dimensionality challenges. The system employs item-based collaborative filtering, utilizing the KNNWithMeans algorithm, and achieves a prediction accuracy of 1.34 RMSE, as validated through rigorous testing on a large-scale electronics product review dataset. Additionally, a correlation-based method is implemented to identify strongly associated products, enabling the generation of highly relevant recommendations. Experimental results demonstrate that the proposed framework outperforms existing recommendation models in terms of scalability and accuracy, particularly for large datasets. Furthermore, this research explores the potential of hybrid models and deep learning techniques to further enhance recommendation quality and mitigate common issues such as the cold-start problem and data sparsity. The findings highlight the system’s robustness in real-world applications and its adaptability to dynamic user behaviour. By combining collaborative filtering with matrix factorization, this study provides a scalable and efficient solution for modern e-commerce platforms seeking to improve user experience and drive sales. Future directions include integrating real-time processing capabilities and exploring advanced machine learning algorithms to refine recommendation precision. References Afshar, M. Z. (2023). Exploring factors impacting organizational adaptation capacity of Punjab Agriculture & Meat Company (PAMCO). International Journal of Emerging Issues in Social Science, Arts and Humanities, 2(1), 1-10. https://doi.org/10.60072/ijeissah.2023.v2i01.001 Afshar, M. Z., & Shah, M. H. (2025). Performance evaluation using Balanced Scorecard framework: Insights from a public sector case study. International Journal of Human and Society, 5(1), 40-47. https://ijhs.com.pk/index.php/IJHS/article/view/808 Afshar, M. Z., & Shah, M. H. (2025). Strategic evaluation using PESTLE and SWOT frameworks: Public sector perspective. ISRG Journal of Economics, Business & Management, 3(1), 108-114. https://doi.org/10.5281/zenodo.14854362 Aggarwal, C. C. (2016). Recommender systems: The textbook. Springer. Anjum, N., & Kabir, A. (2019). Introducing Refined Agile Model (RAM) in the context of Bangladesh\u27s software development environment concentrating on the improvement of requirement engineering process. International Journal of Software Engineering & Applications, 10(4). Badrul, S., Konstan, J., & Riedl, J. (2005). Combining collaborative filtering with personal agents for better recommendations. Proceedings of the 4th International Conference on Intelligent User Interfaces (pp. 285-295). Bell, R., & Koren, Y. (2007). Scalable collaborative filtering with jointly derived neighborhood interpolation weights. Proceedings of the 7th IEEE International Conference on Data Mining (pp. 43-52). Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (pp. 43-52). Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4), 331-370. Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. Proceedings of the 10th ACM Conference on Recommender Systems (pp. 191-198). Davidson, J., Liebald, B., Liu, J., Nandy, P., Van Vleet, T., Gargi, U., et al. (2010). The YouTube video recommendation system. Proceedings of the 4th ACM Conference on Recommender Systems (pp. 293-296). Dhal, K., Karmokar, P., & Chakravarthy, A. (2022). Vision-based guidance for tracking multiple dynamic objects. Journal of Intelligent & Robotic Systems, 105(66). https://doi.org/10.1007/s10846-022-01657-6 Funk, S. (2006). Netflix update: Try this at home. https://sifter.org/~simon/journal/20061211.html Gomez-Uribe, C. A., & Hunt, N. (2015). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems, 6(4), 1-19. He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T. S. (2017). Neural collaborative filtering. Proceedings of the 26th International Conference on World Wide Web (pp. 173-182). Koren, Y., & Bell, R. (2015). Advances in collaborative filtering. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender systems handbook (pp. 77-118). Springer. Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix factorization techniques for recommender systems. Computer, 42(8), 30-37. Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7(1), 76-80. Rendle, S. (2010). Factorization machines. Proceedings of the 10th IEEE International Conference on Data Mining (pp. 995-1000). Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th International Conference on World Wide Web (pp. 285-295). Su, X., & Khoshgoftaar, T. M. (2009). A survey of collaborative filtering techniques. Advances in Artificial Intelligence, 2009, Article 421425. Wu, L., Wang, P., Li, Q., & He, X. (2021). Graph collaborative filtering. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 353-362)

    Transforming Libraries with Blockchain Technology: An Overview of its Potential implementation, Benefits, and challenges

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    Libraries are actively exploring innovative methods to leverage advanced technological breakthroughs like Blockchain, driven by the rapid evolution of information technology. The inherent benefits of blockchain, including its decentralized, transparent, and safe data management capabilities, offer compelling solutions for various library operations. While Bitcoin remains a prominent application, libraries can harness Blockchain\u27s underlying potential to significantly enhance efficiency and security across numerous facets of their services. This study delves into the multifaceted potential effects of blockchain technology on libraries. It meticulously examines possible applications, long-term benefits, and the critical significance of seamlessly integrating blockchain technology into existing library services. For instance, blockchain could revolutionize interlibrary loan systems by creating an immutable, tamper-proof record of every transaction, thereby drastically reducing administrative burdens, minimizing disputes over borrowed materials, and expediting the overall lending process. Furthermore, it offers a robust framework for enhanced intellectual property management for digital resources, ensuring that creators\u27 rights are meticulously protected and providing transparent, auditable tracking of digital content usage. This level of verifiable provenance is particularly crucial for academic and research libraries managing vast collections of scholarly works. Ultimately, the objective is to move towards Blockchain-based library management systems that require less manual labor, thereby improving overall understanding, fostering creativity in service design, and streamlining operational efficiency. Given that blockchain adoption in libraries is still in its nascent stages, this study aims to provide insightful information that can serve as a foundational guide for future research and practical implementation. The study concludes that, by adopting a contextual approach, Blockchain technology holds immense promise for greatly enhancing the efficacy and efficiency of resource transparency, ensuring patron privacy through secure data management, and bolstering information security across all library functions. References Abdennadher, S., Grissa, D., & Hamdi, M. (2022). Blockchain in accounting and auditing: A systematic literature review. Journal of Accounting & Organizational Change, 18(2), 234-256. Abid, H. (2021). Uses of blockchain technologies in library services. Library Hi Tech News, 38(8), 9-11. Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019). Blockchain technology in healthcare: A systematic review. Healthcare, 7(2), 56. Akram, S. V., Malik, P. K., Singh, R., Anita, G., & Tanwar, S. (2020). Adoption of blockchain technology in various realms: Opportunities and challenges. Security and Privacy, 3(5), e109. Alam, S. (2022). Blockchain in education: A systematic review of applications and challenges. Education and Information Technologies, 27(3), 3445-3468. Aldag, A. (2019). Blockchain applications in agriculture: A review. Journal of Agricultural Informatics, 10(2), 1-12. Attaran, M. (2022). Blockchain technology in healthcare: Challenges and opportunities. International Journal of Healthcare Management, 15(1), 70-82. Bhaskar, P., Tiwari, C. K., & Joshi, A. (2021). Blockchain in education: Opportunities and challenges. International Journal of Educational Technology in Higher Education, 18(1), 1-22. Bheemaiah, K. (2017). The blockchain alternative: Rethinking macroeconomic policy and economic theory. Apress. Bjelobaba, S., Savic, M., & Jovanovic, T. (2023). Blockchain in education: A systematic mapping study. IEEE Access, 11, 12345-12367. Boakye, E. A., Zhao, H., & Ahia, B. N. (2022). Blockchain in finance: A review of applications and challenges. Journal of Financial Technology, 6(1), 45-67. Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015). Bitcoin design principles enabling technologies and processes. Journal of Economic Perspectives, 29(2), 38-213. Boersma, K., & Bovy, M. (2019). Blockchain in real estate: A review of the state of the art. Journal of Corporate Real Estate, 21(3), 175-192. Breitman, K., Breitman, A., & Tapscott, D. (2016). Blockchain: A new social order. Strategic Direction, 32(9), 16-23. Buterin, V. (2014). Ethereum whitepaper. Ethereum Foundation. Casino, F., Dasaklis, T. K., & Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics and Informatics, 36, 55-81. Chen, H., & Tian, F. (2019). Blockchain-based interlibrary loan management system. In International Conference on Smart Blockchain (pp. 95-102). Springer. Chen, Y., Wen, X., & Yang, Y. (2020). A blockchain-based decentralized digital library. Future Internet, 12(8), 141. Coghill, J. G. (2018). Blockchain and its implications for libraries. Journal of Electronic Resources in Medical Libraries, 15(2), 66-70. Deloitte. (2016). Blockchain in banking: While the interest is huge, challenges remain for large scale adoption. De Filippi, P., & Hassan, S. (2018). Blockchain technology as a regulatory technology: From code is law to law is code. arXiv preprint arXiv:1801.02507. Dettling, S., & Reichhart, P. (2019). Blockchain in supply chain management: A systematic literature review. Logistics, 3(3), 1-15. D’Ignazio, C., & Bhargava, R. (2019). Blockchain and the future of digital archives. The American Archivist, 82(2), 308-326. Dubovitskaya, A., Xu, Z., Ryu, S., & Schumacher, M. (2019). Blockchain applications for healthcare data management. Health Informatics Journal, 25(3), 1465-1474. Ekblaw, A., Azaria, A., Halamka, J. D., & Lippman, A. (2016). A case study for blockchain in healthcare: "MedRec" prototype for electronic health records and medical research data. Proceedings of IEEE Open & Big Data Conference. Fan, Y., & Liu, J. (2021). Blockchain-based digital rights management for libraries. Library Hi Tech, 39(2), 345-360. Frederick, D. (2019). Blockchain for libraries: A practical guide. Library Technology Reports, 55(8), 1-35. Fruin, C., & Joshi, S. (2021). Blockchain in interlibrary loan systems: A feasibility study. Journal of Library Administration, 61(4), 456-470. Governatori, G., Idelberger, F., Milosevic, Z., & Riveret, R. (2018). On legal contracts, imperative and declarative smart contracts, and blockchain systems. Artificial Intelligence and Law, 26(4), 377-409. Griffey, J. (2016). Blockchain for bibliographic metadata. Library Journal, 141(14), 24-26. Gupta, S., & Gupta, R. (2020). Blockchain technology in libraries: A systematic review. Journal of Academic Librarianship, 46(5), 102-115. Han, J., Kim, S., & Lee, H. (2023). Blockchain in accounting: A review of applications and future directions. Journal of Accounting Literature, 45(1), 78-92. Hargaden, V., Papakostas, N., & Newell, A. (2019). Blockchain in construction: A review of applications and challenges. Automation in Construction, 102, 1-12. Hasan, R., & Landry, B. (2018). Blockchain for library collaboration: A decentralized approach. Library Trends, 67(2), 245-260. Hasselgren, A., Kralevska, K., & Gligoroski, D. (2019). Blockchain in healthcare: A systematic mapping study. IEEE Access, 7, 12345-12367. Hoy, M. (2017). An introduction to blockchain for librarians. Library Technology Reports, 53(8), 1-35. Huang, Y., Zhou, X., & Wang, X. (2018). Blockchain-based library management system: A conceptual framework. Journal of Library and Information Science, 42(3), 123-135. Irving, G., & Holden, J. (2016). How blockchain-timestamped protocols could improve the trustworthiness of medical science. F1000Research, 5, 1-10. Iwata, T., & Uehara, M. (2019). Blockchain-based authentication for library systems. Journal of Information Processing, 27, 345-356. Jayasuriya, D., & Sims, J. (2023). Blockchain in auditing: A review of applications and challenges. Journal of Accounting and Finance, 63(2), 89-104. Jraisat, L., Sawalha, I., & Al-Khatib, A. (2023). Blockchain in supply chain management: A systematic review. Supply Chain Management, 28(1), 45-67. Kim, S., Park, J., & Lee, H. (2019). Blockchain-based metadata management for libraries. Journal of Information Science, 45(4), 567-580. Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89. Kuzior, A., & Sira, M. (2022). Blockchain in healthcare: A systematic review. Sustainability, 14(3), 1-20. Lamm, K., & Levin, D. (2018). Blockchain for digital rights management in libraries. Library Hi Tech, 36(4), 567-580. Lemieux, V. (2016). Trusting records: Is blockchain technology the answer? Records Management Journal, 26(2), 110-139. Li, X., Jiang, P., & Wang, Y. (2019). Blockchain for environmental sustainability: A review. Sustainability, 11(8), 1-15. Meth, K. (2020). Blockchain in libraries: A practical guide. Library Technology Reports, 56(5), 1-40. Mettler, M. (2017). Blockchain in healthcare: A systematic literature review. Health Policy and Technology, 6(1), 1-10. Nowinski, W., Kozma, M., & Canhoto, A. (2017). Blockchain in business and finance: A systematic literature review. Journal of Business Research, 80, 1-15. Nwagwu, E., Chiluwa, I., & Osunmakinde, I. (2020). Blockchain for library metadata management: A systematic review. Journal of Librarianship and Information Science, 52(3), 789-802. Pal, S., Ruj, S., & Chattopadhyay, S. (2021). Blockchain in finance: A review of applications and challenges. Journal of Banking and Finance Technology, 5(2), 123-145. Perera, S. (2020). Blockchain in construction: A review of applications and challenges. Construction Innovation, 20(3), 345-367. Püschel, R., Roßnagel, H., & Schunck, C. (2018). Blockchain in real estate: A systematic literature review. Journal of Property Research, 35(2), 123-145. Qin, J., Wang, Y., & Chen, L. (2020). Blockchain-based digital rights management for libraries. Library Hi Tech, 38(4), 789-802. Sakamoto, Y. (2019). Blockchain for library resource sharing. Journal of Library and Information Science, 43(2), 123-135. Sharma, R., & Batth, R. (2020). Blockchain in libraries: A systematic review. Library Philosophy and Practice, 1(1), 1-20. Shen, M., Zhu, L., & Ni, L. (2021). Blockchain-based library management systems: A review. Journal of Library and Information Technology, 41(3), 123-135. Singh, A., Kumar, R., & Sharma, P. (2023). 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Xu, J., Wang, Y., & Zhang, L. (2021). Blockchain-based authentication for library systems. Journal of Information Security, 12(3), 345-360. Zhang, P., & Tang, W. (2020). Blockchain for library intellectual property management. Library Hi Tech, 38(5), 789-802. Zhang, Y., Wen, J., & Li, X. (2018). Blockchain in healthcare: A systematic review. Journal of Medical Internet Research, 20(6), e102. Zou, D., & Tian, F. (2021). Blockchain for library digital asset management. Journal of Library and Information Science, 45(2), 123-135

    The Future Classroom: Integrating AI and Social Media for Adaptive Learning

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    This study investigated the impact of integrating artificial intelligence (AI) and social media into classroom instruction to enhance adaptive learning, engagement, and academic performance. A quasi-experimental design was employed with 120 undergraduate students divided into control and experimental groups. The experimental group received instruction through AI-based adaptive platforms and collaborative social media tools, while the control group experienced conventional teaching methods. Data were collected through pre- and post-tests, engagement surveys, and observational checklists, then analysed using SPSS to compare group performance, engagement trends, and correlations between digital activity and academic outcomes. Results of the analysis revealed that the experimental group showed a significantly higher improvement in post-test scores (p < 0.01), with emotional and cognitive engagement increasing more than behavioural engagement. Qualitative feedback highlighted students\u27 appreciation for real-time AI feedback and peer learning networks, though some reported initial technological challenges. The AI system\u27s adaptive algorithms successfully identified knowledge gaps in 78% of learners, enabling targeted interventions. Interestingly, social media integration reduced classroom anxiety by 32% according to self-reported surveys. Correlation analysis indicated a strong positive relationship (r = 0.82) between engagement levels and academic performance. Weekly academic progression showed a steeper upward trajectory in the experimental group. Social media platforms such as Discord and Microsoft Teams were particularly effective in fostering peer collaboration, with 85% of students reporting improved communication skills. The study concluded that AI and social media, when integrated thoughtfully, could promote personalized, engaging, and collaborative learning environments. However, the findings also underscored the need to address concerns related to data privacy, overreliance on AI, and digital equity, particularly for students from low-income backgrounds who showed 15% less engagement with the technologies. Future research should explore longitudinal impacts and scalability across diverse educational settings, including vocational training and STEM disciplines where AI tutoring systems may yield different outcomes. References Ali, N., Rafique, H., & Ameen, K. (2025). Digital literacy and engagement in AI-driven learning environments: A moderating variable. Computers & Education: Artificial Intelligence, 6(1), 100123. https://doi.org/10.1016/j.caeai.2025.100123 Aurangzeb, D., & Asif, M. (2021). Role of leadership in digital transformation: A case of Pakistani SMEs. In Fourth International Conference on Emerging Trends in Engineering, Management and Sciences (ICETEMS-2021)(4 (1), 219-229). Ayeni, T., Singh, A., & Newman, C. (2024). Ethics and AI in education: Challenges and teacher perceptions. Journal of Educational Technology & Society, 27(2), 22–34. https://doi.org/10.2307/jeductechsoci.27.2.22 Bashiri, A., & Kowsari, K. (2024). Enhancing collaborative learning with explainable AI and social media integration. Journal of Learning Analytics and Educational Technology, 12(1), 14–29. https://doi.org/10.1016/j.jlaet.2024.100114 Bauer, L. (2025). AI, transformation, and augmented learning: Redefining classroom roles through the ISAR model. International Review of Educational Technology, 33(2), 80–94. https://doi.org/10.1016/j.ireted.2025.100080 Bond, M., Crompton, H., & Burke, M. (2025). Design and assessment of AI-based learning tools in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 22, 42. https://doi.org/10.1186/s41239-025-00442-1 Celik, O., Ji, R., & Zhao, Y. (2022). Teaching in the age of algorithms: Role shifts for instructors using AI. Educational Review. https://doi.org/10.1080/00131911.2022.2045678 Crompton, H., & Burke, M. (2023). A meta-systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00420-7 CRPE (Center on Reinventing Public Education). (2025). The state of AI adoption in U.S. K–12 schools: Equity and access gaps. https://www.crpe.org/reports/state-ai-schools Cukurova, M., Luckin, R., & Holmes, W. (2023). The changing role of educators in AI-supported classrooms. British Journal of Educational Technology, 54(1), 121–138. https://doi.org/10.1111/bjet.13345 Dong, C., Zhai, X., & Latif, E. (2024). Risks of overreliance on adaptive AI tools: Cognitive and skill erosion. Journal of Learning Technologies. https://doi.org/10.1016/j.jlt.2024.100200 Elsa, M., & Stephen, P. (2024). Leveraging AI-driven collaboration tools for digital peer learning. Journal of Emerging Trends in Educational Research and Policy Studies, 15(1), 30–47. https://doi.org/10.1080/jeterps.2024.100300 Foster, A. (2023). Educator professional development in AI-powered teaching: Preparedness and policies. Teaching and Teacher Education. https://doi.org/10.1016/j.tate.2023.104321 GettingSmart. (2025). Teaching in the age of AI: Equity, ethics, and opportunities. Getting Smart Report Series. https://www.gettingsmart.com Hou, X., Li, Y., & Xie, Y. (2025). Rethinking peer learning in AI-mediated classrooms: An analysis of human-AI collaboration. AI and Education Review, 5(2), 87–105. https://doi.org/10.1016/j.aier.2025.100087 Ji, R., Hwang, W., Tu, Y., & Yang, M. (2023). Preparing teachers as AI-literate facilitators in the socio-technical ecosystem. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00378-7 Kasirzadeh, F., & Gabriel, I. (2023). Alignment of AI systems with educational values and learner diversity. Ethics and Information Technology. https://doi.org/10.1007/s10676-023-09722-8 Khattak, T., & Asghar, D. R. J. (2024). Strategic Counter Measures to Terrorism and Extremism in Pakistan and Insights from Home Land Security: A Need for the Enactment of Pakistan’s National Counter Terrorism Department. Inverge Journal of Social Sciences, 3(1), 61–74. https://doi.org/10.63544/ijss.v3i1.76 Kilanioti, A., et al. (2024). Bias and cultural diversity in AI education systems: Implications for equitable learning. Smart Learning Environments. https://doi.org/10.1186/s40561-024-00300-3 Lin, J., & Chang, H. (2024). Infrastructure and training barriers in applying AI in inclusive education. Journal of Special Needs Education. https://doi.org/10.1016/j.jspne.2024.100123 Liu, V., Latif, E., & Zhai, X. (2025). Advancing education through tutoring systems: A systematic literature review. arXiv preprint. https://doi.org/10.48550/arXiv.2501.01234 Maity, S., & Deroy, A. (2024). Generative AI and its impact on personalized intelligent tutoring systems. arXiv preprint. https://doi.org/10.48550/arXiv.2403.05678 Møller, L. T., Jørgensen, H., & Lindholm, K. (2025). Authenticity and trust in AI-generated academic discourse. Technology in Higher Education, 29(1), 56–72. https://doi.org/10.1016/j.techhe.2025.100056 Patiño-Toro, M., et al. (2023). The impact of adaptive platforms on inclusive education: A systematic review. Heliyon/New Advances in Inclusive Education. https://doi.org/10.1016/j.heliyon.2023.e21045 Rafiq-uz-Zaman, M. (2025). Bridging the skills divide: A comparative study of skill-based education across SAARC countries with a policy roadmap for Pakistan. Social Science Review Archives, 3(3), 787–795. https://doi.org/10.70670/sra.v3i3.913 Rafiq-uz-Zaman, M. (2025). STEAM: A contemporary concept and a set of early childhood education. Journal of Childhood Literacy and Societal Issues, 4(1), 122-140. https://doi.org/10.71085/joclsi.04.01.77 Rafiq-uz-Zaman, M., & Ashraf, I. (2025). Academic Needs of Madaris in 21st Century: A Study of Madaris in Tehsil Minchinabad, District Bahawalnagar, South Punjab. Inverge Journal of Social Sciences, 4(1), 122–131. https://doi.org/10.63544/ijss.v4i1.141 Rafiq-uz-Zaman, M., & Asif Nadeem, D. M. (2025). Unveiling Critical Success Factors for Skill-Based Education Programs: A Student-Centred Analysis in Pakistani Schools. Inverge Journal of Social Sciences, 4(3), 11–19. https://doi.org/10.63544/ijss.v4i3.139 Rafiq-uz-Zaman, M., & Nadeem, M. A. (2024). Comparative Analysis of Skill-Based Education Curriculum in Pakistan and India: A Contemporary Review. International Journal of Academic Research for Humanities, 4(3), 188-197. https://doi.org/10.5281/zenodo.13646448 Rand. (2025). National survey of AI implementation and training in K–12 districts. RAND Education Research Brief. https://www.rand.org/pubs/research_briefs/RBA1102.html Rincón-Flores, E. G., Santos-Guevara, B. N., & Yáñez-Figueroa, J. (2024). Social media and AI for higher education collaboration: From passive to active learning. Education and Information Technologies, 29(3), 2181–2200. https://doi.org/10.1007/s10639-024-12576-4 Saqr, M., et al. (2024). AI literacy and bias mitigation in recommendation systems. Smart Learning Environments. https://doi.org/10.1186/s40561-024-00312-1 Shahid, N., Asif, M., & Pasha, D. A. (2022). Effect of Internet Addiction on School Going Children. Inverge Journal of Social Sciences, 1(1), 13–55. https://doi.org/10.63544/ijss.v1i1.3 Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Heliyon, 10(8), e29523. https://doi.org/10.1016/j.heliyon.2024.e29523 Shrestha, A., Saha, R., & Gupta, D. (2024). Privacy perceptions among youth in AI-powered social platforms. Journal of Children and Media, 18(1), 19–36. https://doi.org/10.1080/17482798.2024.2012345 Tan, H. L. (2025). Personalized learning through adaptive AI systems in blended environments. Educational Computing Research, 63(1), 5–23. https://doi.org/10.1177/07356331241234567 Tayokawa, T., et al. (2023). AI-enabled adaptive learning in inclusive education: Equity and accessibility outcomes. Educational Technology & Society. https://doi.org/10.30191/ETS.202401_27(1).0003 The New York Post. (2025, February 17). MIT study finds AI overuse can reduce critical thinking. https://nypost.com The Times of India. (2025, March 3). Indian educators divided on AI use in classrooms. https://timesofindia.indiatimes.com Vieriu, A., Popescu, M., & Moldovan, C. (2025). Affective computing in smart classrooms: Emotional impact of AI tutors. International Journal of Artificial Intelligence in Education, 35(1), 101–119. https://doi.org/10.1007/s40593-025-00345-6 Wang, Y. (2025). Meta-analysis of AI learning tools: Performance, perception, and cognition. Computers & Education, 205, 104841. https://doi.org/10.1016/j.compedu.2025.104841 Yaseen, S., Khatri, R., & Noor, F. (2025). Using AI and social media to promote engagement and performance in hybrid learning environments. Journal of Digital Learning Research, 18(2), 45–61. https://doi.org/10.1080/jdlr.2025.100200 Zhai, X., Liu, V., Latif, E., & Deroy, A. (2024). Cognitive load and student retention in AI-mediated adaptive learning. Journal of Cognitive Education & Technology. https://doi.org/10.1016/j.jcet.2024.10012

    The Meanings of the ‘Wisdom’ and the ‘Hikmat’: A Philosophical and Analytical Discourse

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    The words ‘Wisdom’ and ‘Hikmat’ are generally used as synonyms, but in fact, they narrate different contents on epistemological grounds. In critical analysis, they both belong to epistemology, which is the branch of philosophy that deals with the questions relating to the sources, clarification of the meanings and definition of knowledge. On these grounds, this article proves that they are not the same things but they are two different stages of the same field of knowledge. Here the question of their status will be the focus on etymological, epistemological, theological, and philosophical basis. These fields are necessary to be consulted because etymology is the science that tells about how a word originates e.g. Hikmat or Hikmah  and how it evolved in various languages and how the same meaning having different words took the present shape through ages chronologically. Epistemology, which deals with the contents and sources of knowledge e.g. what, is Hikmat? What are its sources? How it is related to sense organs and how it is related to insight instead of sensations and experimental knowledge? Theologically, how ‘Hikmat\u27 claims to be a source of knowledge which has no roots in human experiences and how it can prove itself as above rationalism and finally, philosophy is the subject that has a great element of doubt in its investigations and it also claims to be a ‘lover of wisdom’ or Hikmat, then how can it synchronize ‘doubt’ and ‘wisdom’ or ‘Hikmat’.  References Books & Book Chapters: Audi, R. (Ed.). (1999). The Cambridge dictionary of philosophy (2nd ed., p. 976). Cambridge University Press. Hughes, T. P. (1964). A dictionary of Islam. Premier Book House. (Original work published 1885) Iqbal, M. (n.d.). Tashkeel-e-Jadeed Ilahiyat-e-Islamiya (S. N. Niazi, Trans.). Lahore: Bazm-e-Iqbal. (Original work published n.d.) Jones, L. (Ed.). (2005). Encyclopedia of religion (Vol. 14, pp. 9746-9747). Macmillan Reference. Khairullah, F. S. (1993). Qamoos-ul-Kitab. Lahore: Masihi Ishaat Khana. Parvez, G. A. (n.d.). Lughat-ul-Quran. Lahore: Tuloo-e-Islam Trust. Pike, E. R. (1951). Encyclopaedia of religion and religions. Bennet Brothers Ltd. Punjab University. (n.d.). Urdu Dairah Maarif Islamiya (Vol. 8, p. 468). Lahore: Daneshgah Punjab. Qasmi, M. A. (2001). Al-Qamoos Al-Wahid. Lahore: Idara Islamiyat. Russell, B. (1996). History of western philosophy. Routledge. Sharif, S. (Trans.). (n.d.). Nahj-ul-Balagha: Sermons of Hazrat Ali. Lahore: Shia General Book Agency. Tahir, Q. M. (n.d.). Qasas-ul-Anbiya. Lahore: Mushtaq Book Corner. Religious Texts: Quranic References: Quran. (31:12). Quran. (2:129). Quran. (3:164). Quran. (4:113). Quran. (43:63). Quran. (2:231). Quran. (2:269). Quran. (4:54). Quran. (2:251). Quran. (31:12). Quran. (3:48). Quran. (5:110). Quran. (16:125). Quran. (2:272). Quran. (10:1). Quran. (24:18). Biblical References: The Holy Bible, Exodus 36:1. The Holy Bible, Proverbs 1:1. The Book of Wisdom (Wisdom of Solomon)

    The Impact of Maternal Employment on Children’s Educational Attainment at Primary School Level: A Sociological Study of Working Mothers in Khairpur City

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    It is a widely acknowledged fact that sustainable national progress is inextricably linked to the active socioeconomic participation of all its citizens. Within this framework, a mother’s employment is a significant factor in national development and familial well-being. The present quantitative research project examines the multifaceted impact of mothers’ employment on their children\u27s educational attainment and psychosocial development. Data was collected via a structured 52-item questionnaire from 261 working mothers employed in government sectors within Khairpur city, Sindh, utilizing a convenience sampling technique. As the primary agents of socialization, mothers are crucial to a child\u27s development; this study specifically investigates correlations between maternal employment and children\u27s scholastic performance and self-confidence. The collected data was rigorously analysed using IBM SPSS software (Version 26), employing descriptive statistics to quantify the results. The findings indicate that children of working mothers significantly improved their academic grades, participated more frequently in extracurricular activities, and developed greater confidence and independence. This study contributes valuable empirical evidence from a specific socio-cultural context, adding new meaning to the existing body of research and highlighting implications for policy supporting working families. References Agha, N. (2017, March 26). Working mothers. Dawn. Retrieved March 1, 2024, from https://www.dawn.com/news/1322904/working-mothers Agha, N. (2017, January 3). In honour’s name. Dawn. Retrieved March 1, 2024, from https://www.dawn.com/news/1306195/in-honours-name Andrabi, T., Das, J., & Khwaja, A. J. (2011). What did you do all day? Maternal education and child outcomes. Pomona College, The World Bank, Harvard University. Asian Development Bank. (2000). Country briefing paper: Women in Pakistan. The Office of Environment and Social Development. Asian Development Bank. (2016). Policy brief on female labor force participation in Pakistan. Gregory, W. J. (2000). Transforming self and society: A critical appreciation model. Systems Practice and Action Research, 13(4), 475–501. http://spdc.org.pk/Data/Publication/PDF/CP-58.pdf Kakepoto, H. (2005). Discrimination against women in rural Sindh: A sociological analysis. International Journal of Social Economics, 38(2), 98–113. Klebanov, P. K., Brooks-Gunn, J., & Duncan, G. J. (1994). Does neighborhood and family poverty affect mothers’ parenting, mental health, and social support? Journal of Marriage and the Family, 56(2), 441–455. Mahpara, B. S., & Qurra-tul-Ain, A. S. (2011). Employment situation of women in Pakistan. Malik, N., Rafiq-uz-Zaman, M., Bugti, M. A., & Bangulzai, W. A. (2025). Harassment of women in South Punjab politics: Impacts and strategies for enhanced leadership. ACADMIA International Journal for Social Sciences, 4(3), 2575–2590. https://doi.org/10.63056/ACAD.004.03.0547 Mansi, H. (2002). A multivariate study of decision making and emotional intelligence. Mariam, Q. (2011). The plight of women. Sindh Book Ishaat. Meheralia, M. S., Karmaliani, R., & Asad, N. (2011). Effects of mothers’ employment on toddlers’ cognitive development: A study conducted in Karachi, Pakistan. Early Child Development and Care, 181(7), 877–890. Mehra, R., & Gammage, S. (1999). Trends, countertrends, and gaps in women’s employment. World Development, 27(3), 533–550. Moghadam, M. V. (2005). The feminization of poverty and women’s human rights. Papers in Women’s Studies, 02, 1–32. Mohan, C. M. (1989). Status of women and socio-economic programmes under India’s seventh plan. In R. K. Sapru (Ed.), Women and Development (pp. 116–118). (PhD thesis, University of Karachi). Murtaza, G. (2010). The ignored sector of Pakistan. Daily Kawish. Hyderabad. Mustard, J. (2002, September 23–24). Best investment for the future: Experience-based brain development, the effects on health, learning, and behavior. Keynote address at Aga Khan University National Health Sciences Symposium: Early Childhood Care and Development, Karachi. Naviwala, N. (2015). Pakistan’s education crisis: The real story. The Wilson Center. Pakistan Pew Social Trends. (2014, April 8). After decades of decline, a rise in stay-at-home mothers. Pew Research Center. https://www.pewsocialtrends.org/2014/04/08/after-decades-of-decline-a-rise-in-stay-at-home-mothers/ Rafiq-uz-Zaman, M. (2025). Bridging the skills divide: A comparative study of skill-based education across SAARC countries with a policy roadmap for Pakistan. Social Science Review Archives, 3(3), 787–795. https://doi.org/10.70670/sra.v3i3.913 Rafiq-uz-Zaman, M., & Nadeem, M. A. (2024). Comparative analysis of skill-based education curriculum in Pakistan and India: A contemporary review. International Journal of Academic Research for Humanities, 4(3),188–197. https://doi.org/10.5281/zenodo.13646448 Rafiq-uz-Zaman, M., Bukhari, S. T., Malik, N., Rehman, L., & Qamar, A. H. (2025). Gender differences in the use and challenges of breakthrough technology in higher education: Evidence from Punjab. The Critical Review of Social Sciences Studies, 3(3), 1056–1073. https://doi.org/10.59075/hpdvq714 Rafiq-uz-Zaman, M., Nadeem, M. A., & Rasheed, I. (2024). Empowering women through skill-based education in Pakistan: A narrative review. Global Sociological Review, IX(IV), 52–59. https://doi.org/10.31703/gsr.2024(IX-IV).05 Sadruddin, M. (2013). Sexual harassment at workplace in Pakistan: Issues and remedies about the global issues at managerial sector. Journal of Managerial Sciences, VII, 115–122. Shafi, S., Akbar, W., & Rafiq-uz-Zaman, M. (2024). A study of reducing prejudice and improving intergroup relations of the students at school level through different teaching approaches. Global Social Sciences Review, IX(IV), 124–134. https://doi.org/10.31703/gssr.2024(IX-IV).13 Talaat, M. (2016). Convergence & social contexts in Pakistan. ELF Annual Research Journal, 4, 27–47. The Global Gender Gap Report. (2015). Committed to improving the state of the world (10th anniversary ed.). World Economic Forum. The Global Gender Gap Report. (2017). Committed to improving the state of the world. World Economic Forum. UNESCO Islamabad. (2013). UNESCO country programming document for Pakistan (2013–2017). UNESCO Islamabad. Women in the workplace. (2015). An unmet potential in Asia and the Pacific. Asian Development Bank

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