Al-Kindi Center for Research and Development (KCRD) (E-Journals)
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Effects of Heuristic Method on Students’ Performance in Mathematics
No full textThis research determines the effects of the Heuristic method on students\u27 performance in Mathematics 7 of a public national high school in the Philippines, school year 2022-2023. The quasi-experimental method used two sets of questionnaires (standardized Attitudes Towards Mathematics Inventory and standardized Algebra Test). The data were treated using frequency, mean, standard deviation, Chi-square test of independence, and paired t-test. The study revealed that student’s profiles (age, gender, final grade in Grade 6 Math) do not have significant relationships with their level of mathematical attitudes and academic performance. However, a significant increase in test scores between the pretest and post-test results in a significant difference between the mean gained of both groups. Thus, teaching strategies could encourage students to increase their academic performance. It was concluded that the Heuristic teaching model helps students develop better mathematics learning. The researchers strongly recommend searching for more learning methods that could help elevate the learners\u27 academic performance
Exploring E-Learning Environment of Senior Secondary School Learners: Basis for Enhancing Online Instruction Materials
No full textThis proposed study aimed to explore the e-learning environment of Secondary Senior leaner in an online distance learning set-up. More so, the result of this study will become the basis for creating an online instructional framework for the overall academic performance of learners amidst the new normal education.The research design that was used and utilized in this study was sequential exploratory mixed method design as it focused on the exploration of HUMSS Senior High School learners, particularly with their challenges and coping mechanisms in an e-learning environment – which can be considered as an emergent variable. In a 2012 review of mixed methods, Johnson and Christensen demonstrated that they have useful and valid data using a combination of qualitative and quantitative approaches. Cresswell & Clark (2011) stated that sequential study design produces qualitative data from the initial phase to a greater number of the collected samples from the second phase, based on certain participants. The demographic profile of the learner participants showed that the majority were female. This has implied the view that many female learners were enrolling in the Senior Secondary School since the career pathways in this strand are more on education, communication, social work, and psychology
Influence of School Type on Secondary School Students’ Performance in Mathematics in Nyahururu and Laikipia North Sub-Counties, Laikipia County, Kenya
No full textPerformance in Mathematics is valued in all societies due to its strong foundation for a country’s scientific development. Consequently, performance in mathematics is a global issue of concern at the high school level of education. Further, Mathematics performance in Kenyan secondary schools has been wanting, especially in both Nyahururu and Laikipia North Sub-Counties. Hence, this study examined the influence of school type in terms of mixed day secondary schools, mixed boarding secondary schools, single sexed boys, and single sexed girls’ secondary schools. The study employed a descriptive survey research design. Data was collected from a sample of 393 respondents from both Nyahururu and Laikipia North Sub-Counties. The Central Limit Theorem was used to select 16 secondary schools. The study applied a stratified random sampling technique in order to distribute respondents proportionately to the identified school types. Data was collected from both students and their Mathematics teachers using questionnaires, while personal interviews were used to collect data from school principals. Students’ focus group discussions were also used to triangulate data. The reliability of the research instruments was estimated using test-retests, while validity was determined by piloting the research instruments. The analysis of data was done using frequencies, percentages, and linear regression analysis at a 0.05 level of significance using the Statistical Package for Social Sciences (SPSS). The study revealed that there was a statistical relationship between school type and students’ performance in Mathematics with Linear Regression analysis at (r2=0.639; p>0.0423) in the Nyahururu sub-county and (r2=0.693; p>0.0475) in Laikipia North sub-county. These study findings led to the conclusion that there is a need for education stakeholders to pay more attention to factors that seem to influence girls’ performance in Mathematics negatively compared to their male counterparts
Intonational Meanings of Discourse Markers in Spoken Colloquial Arabic
No full textIntonation is the rise and fall of the voice while speaking. It expresses the attitudes and emotions and have a grammatical, discourse, linguistic, psychological and indexical functions. It makes significant and systematic contributions to utterance interpretation. This study sought to investigate the types of meanings and pragmatic functions that the discourse markers (طيب /Tayyib/ O.K, خلاص /xala:S/ (that’s it), إن شاء الله InshaAllah (God willing), ما قَصَّرْت /ma gaSSart/ & ما قَصَّرتِي /ma gaSSarti/ (much appreciated), لا لا /la: la:/ (no…no), يا ستي /ya sitti/ (ma’am), يا سلام /ya sala:m/ (wow), يا عيني /ya ؟eyni/, يا مسهل /ya: msahhil/ (asking God for making things easy), and يا ساتر /ya sa:ter/ (Oh My God) have when each is uttered with different intonation patterns in spoken Colloquial Arabic. Twenty student-translators received training in uttering the discourse markers with different intonations, identifying the meaning and/or purpose conveyed by each intonation, then they performed an elicitation and a judgment/interpretation task in which they were required to pronounce each discourse marker out loud with as variety of intonations and identify the meaning conveyed by each. Data analysis showed that each discourse marker has a variety of meanings and pragmatic functions when uttered with different intonations. The context makes it clear which meaning each intonation implies. Results of the interpretation of meanings that each discourse marker in the sample are reported in detail
Using Mobile Health (mHealth) Applications to Improve Access to Healthcare in Afghanistan
No full textThis study investigates the utilization of mobile health (mHealth) applications to improve healthcare access in Afghanistan. The research employs a mixed-methods approach, combining qualitative interviews and quantitative surveys with healthcare providers, patients, technology experts, and health administrators at Sehat Hospital in Kabul. Through thematic analysis of interview data and descriptive and inferential analysis of survey responses, the study explores the current landscape of mHealth applications, including their availability, features, usage patterns, and perceived impact on healthcare delivery and patient outcomes. The findings reveal diverse perceptions among participants regarding the accessibility, relevance, and effectiveness of mHealth interventions in Afghanistan. Challenges related to security, cultural adaptation, and user awareness are identified, alongside opportunities for enhancing the design and implementation of mHealth solutions. The study contributes valuable insights into the potential of mHealth applications to address healthcare disparities and improve patient outcomes in resource-constrained settings like Afghanistan. Recommendations for policymakers, healthcare providers, and technology developers are provided to optimize the use of mHealth technologies and maximize their impact on healthcare delivery. Overall, this research underscores the importance of contextually relevant and user-centered approaches in leveraging technology to advance healthcare access and quality in Afghanistan
Techniques for Managing Employee Relations and Conflict Resolution within the Workplace
No full textThis study has demonstrated practical ways to confront employee relations and conflict resolution within workspaces. Empirical research and data analysis are the focal themes of this research as it looks into the role of employee relations and dispute resolution in the enhancement of overall organizational performance. Such results highlight the significance of a pre-emptive attitude towards conflict management and the use of theoretical frameworks to solve the existing problems top-down when it comes to improving the atmosphere in the work environment. Managing employee relations and resolving conflicts within the workplace requires a proactive and structured approach to maintaining a harmonious work environment. Key techniques include fostering open communication through regular meetings and feedback sessions and ensuring transparency and fairness in all dealings. Training managers in conflict resolution skills and emotional intelligence is crucial, as these competencies help in identifying and addressing issues before they escalate. Implementing mediation and negotiation practices as formal mechanisms can also be effective. Additionally, establishing clear policies and procedures that outline acceptable behavior and the steps for resolving disputes is essential. Ultimately, promoting a culture of respect and inclusivity aids in minimizing conflicts and enhancing employee relations
Investment Behavior and Strategy in Cryptocurrency in Indonesia
No full textInvestor behavior in making investment decisions is always based on clear reasons, whether for reasons of the future, profit, or hedging. This also provides a more precise portrait of investor behavior and the learning process if you want to enter the crypto asset industry. Apart from that, future suggestions for future researchers are expected to include female informants as a new perspective in researching investor behavior. The aim of carrying out this research is to find out what strategies can be implemented by cryptocurrency asset investors in order to get an optimal level of return. The method approach used in this research is qualitative library research. The data sources used as references in this research are data originating from articles, books, and newspapers from electronic media with the search keywords: how to invest in crypto, crypto investing techniques, and crypto investing strategies. The data obtained was then analyzed using NVivo 10 Plus software. From the results of this research, several strategies for investing in cryptocurrency assets were obtained, namely: determining the type and purpose of investment, studying the cryptocurrency assets you are interested in, choosing trusted cryptocurrency assets, choosing safe exchanges and wallets, paying attention to service fees and spreads, don\u27t be afraid of missing out ( FOMO), buying when prices are low (support) and selling when prices are high (resistance), diversifying and mitigating risk, investing on various platforms, not easily panicking and oriented towards holding on for dear life (HODL), always following development information cryptocurrency, following and joining cryptocurrency communities, and regularly doing dollar-cost averaging (DCA)
The Safety Measures on Electronic Banking Operations and Its Cybersecurity: Basis for Enhancement Plan
No full textThe main objective of the study is to determine the effect of safety measures to the cybersecurity issues encountered by the selected banks in China. The researcher employed descriptive correlational research design and the probability sampling was utilized specifically, purposive sampling technique. The study involved a sample of 150 employees from selected commercial banks in China as respondents. Majority of the respondents agreed that the commercial bank has successfully managed cybersecurity issues, detecting and preventing most attacks, unauthorized access attempts, and sophisticated cyberattacks. They have also experienced data breaches, providing timely notifications and effective measures. Despite financial losses, the bank has implemented financial safeguards to mitigate threats. The findings revealed that safety measures have significant impact on cybersecurity issues in commercial banks. Electronic banking challenges for commercial banks include customer-related issues, such as ensuring customer confidence and a smooth user experience, while also addressing competition and market dynamics due to rapid innovation in the FinTech industry. Efficient cost control is critical for delivering superior digital services while ensuring successful use of electronic banking systems. Additionally, cultural and organizational changes are necessary to overcome resistance to change and promote digital activities
Importance of Interpretation of Documents for Achieving the Ultimate Goal of the Concerned Parties: An Overview
No full textIn civilized societies, it is considered necessary to establish the rights and obligations of each party in relation to the signed agreement in order to regulate interpersonal relationships under general laws. It can be achieved through the proper interpretation of documents, agreements, and other deeds. The art of interpretation of a document is the process of identifying the genuine meaning of a document by endowing the words of the enactment with their natural and usual meaning. Finding out what the words in a document actually mean is the process that is referred to as "word analysis." In this particular study, the different rules and norms associated with the interpretation of documents are analyzed and appraised. In addition, an attempt has been made to evaluate the powers of the court regarding the interpretation of documents by going beyond the ordinary rules. Furthermore, the study emphasizes the interpretation of various deeds, including an agreement to sell, deed of sale, deed of will, and deed of gift, etc
Machine Learning Model in Digital Marketing Strategies for Customer Behavior: Harnessing CNNs for Enhanced Customer Satisfaction and Strategic Decision-Making
No full textIn the realm of digital marketing for the banking industry, the integration of deep learning methodologies, particularly Convolutional Neural Networks (CNNs) such as VGG16, Resnet50, and InceptionV3, has revolutionized strategic decision-making and customer satisfaction. This study explores how deep learning models leverage neural networks with multiple layers to analyze vast and complex datasets, uncovering intricate patterns in customer behavior and preferences. By enhancing customer segmentation, optimizing campaign performance, and refining personalized experiences, CNNs empower banks to make precise, data-driven decisions that elevate customer satisfaction and loyalty. Comparative analyses demonstrate CNNs\u27 superior performance over traditional models like Random Forest and Logistic Regression, achieving accuracies up to 89% and F1 scores of 88%, thereby highlighting their transformative potential in reshaping digital marketing strategies within the banking sector. This research underscores the critical implications of adopting advanced deep learning techniques to meet the evolving demands of customers in today\u27s dynamic digital landscape