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Trends in The Use of Artificial Intelligence for Automating Assessment in English Language Teaching
Get PDFThis study aims to analyze the potential of using artificial intelligence (AI) for automating assessment and English language teaching, as well as its impact on personalizing the learning process. A systematic literature review was conducted using a targeted search strategy across relevant academic databases, including Google Scholar, ResearchGate, and Scopus. As a result of this review, 52 academic papers dedicated to the use of AI for automating assessment and foreign language teaching processes were selected. The findings revealed that AI demonstrates significant potential in personalized learning, skill development, assessment automation, and enhancing teachers\u27 professional development. The possibility of using AI to automate the knowledge assessment process, thereby reducing the workload for educators and increasing the objectivity of evaluation, was explored. The article explores the potential applications of technologies like ChatGPT4 and virtual reality in automating educational processes and assessments, emphasizing their capacity to enhance access to education without limitations of time and space. However, the paper acknowledges the challenges of integrating AI systems into education, encompassing ethical, pedagogical, and technical considerations. Ultimately, the article examines strategies to optimize the benefits of AI in higher education and anticipates the future trajectory of AI development within the educational context
AI Empowers Chinese Shaolin Kung Fu Movies: The Transformation Path from “Visual Spectacle” to “Cultural Creation
Get PDFIntroduction:In the dual context of globalization and digitalization, Shaolin kung fu films are facing unprecedented opportunities for transformation and challenges. As one of the most culturally distinctive film genres representing China\u27s excellent traditional culture, Shaolin kung fu films have embodied the essence of Eastern philosophy—the unity of Zen and martial arts—since the release of *Shaolin Temple* (1982). However, existing research has largely remained at the level of typological analysis or qualitative interpretation of cultural symbols, failing to adequately address the paradigm shift in film narrative in the digital age. With breakthrough developments in generative AI, computer vision, and other technologies, film studies urgently need to establish new theoretical frameworks to explain how technology is reshaping cultural expression. This study adopts an interdisciplinary perspective at the intersection of film semiotics and technology philosophy. As an important carrier of national culture, Chinese Shaolin kung fu films urgently need to break free from the traditional narrative constraints of “visual spectacles” and achieve a paradigm shift from technology-driven to culture-driven innovation.Methods:1) Text and symbol mining: Conduct semantic network analysis on the scripts and dialogues of classic films such as Shaolin Temple;2) Multimodal collaborative analysis: Reconstruct narrative units using generative AI (such as the GPT-4 multimodal model);3) Cross-cultural comparative research: Interpret differences in symbolic meanings and propose AI adaptation and cultural generation strategies.Results:1) The “Zen and martial arts unity” symbol exhibits centrality in the semantic network, with a significant association between slow motion and Zen-like imagery; 2) In multimodal analysis, the overlapping effects of action and soundtrack significantly enhance emotional resonance; 3) Semantic network analysis and symbolic metaphor interpretation of the film script, dialogue, and action design are conducted, with generative AI used to reconstruct narrative units.Conclusions:1) The study validated the feasibility of quantitative analysis of cultural symbols and AI adaptation strategies; 2) A localized technology ecosystem was constructed to balance technology dominance and cultural authenticity; 3) In the future, further attention should be paid to balancing technological ethics and cultural sovereignty to ensure that AI truly serves the in-depth dissemination of cultural values
Adoption of artificial intelligence technologies in Argentine external auditing
Get PDFThis study analyzes the adoption of artificial intelligence (AI) technologies in external auditing in Argentina, within a context where these tools promise to optimize processes and enhance the quality of professional judgment. Despite a high level of awareness regarding AI, its practical application remains limited and uneven. The objective was to analyze the adoption of artificial intelligence technologies in external auditing in Argentina. A mixed-methods approach with a descriptive design was employed. A total of 236 certified public accountants were surveyed between August 2024 and February 2025, and the quantitative findings were complemented by semi-structured interviews. The results show that although 97% of respondents are familiar with the concept of AI, only 12% apply it in their auditing work. The main barriers identified were the lack of specialized training, limited technical skills, and organizational resistance to change. Among the most valued benefits are time savings, increased accuracy, and improved detection of irregularities. The analysis allowed for the identification of three user profiles: young innovators, neutral professionals, and older individuals willing to adopt but lacking training. The study concludes that promoting targeted training programs, clear regulatory frameworks, and an innovation-oriented organizational culture is essential to bridge the gap between technological discourse and its effective implementation.
From Manual Review to AI Automation: An NLP-Powered System for Efficient CV Processing in Academic Admissions
Get PDFManual screening of thousands of admissions of master\u27s program applications at Hassan II University of Casablanca is a time and labor-intensive task. Towards this challenge, we designed a machine-based solution utilizing Natural Language Processing (NLP) for summarization and CV ranking on a large set of CVs. Our solution relies on pre-trained spaCy and Hugging Face Transformers-based Named Entity Recognition (NER) models for the retrieval of information such as education, experience, and skills. We then incorporated extractive summarization by using BERT-based models for the selection of the most informative sentences and then the abstractive summarization by utilizing advanced language models such as LLAMA for the summaries to be coherent and easy. We verified our system by conducting a case study of the master\u27s program of Big Data and Data Science by running a set of 2,325 CVs. The model gave very good results like a 72,67 % ROUGE-1 Recall, 74,32 % ROUGE-2 Recall, 73,15 % ROUGE-1 Precision, 57,28 % ROUGE-2 Precision, and 82% Named Entity Recognition (NER) Precision. The system processed a CV on average in 3,84 seconds. We also integrated a conversation bot (chatbot) that allows admissions teams to search the CVs uploaded in real time for improved decision-making effectiveness and significantly decreasing the administrative burden. The promise of NLP-driven automation stands out from this research as a scalable as well as efficient method of screening numerous applicants
Between Curiosity and Concern: Gender Differences in Artificial Intelligence Anxiety among Psychology Students
Get PDFAs Artificial Intelligence (AI) continues to reshape human life and work, understanding how future psychologists perceive and emotionally respond to this technology has become increasingly important. Psychology students, trained to explore cognition, emotion, and behavior, occupy a unique position in interpreting the human implications of AI integration. This study examined the levels and dimensions of AI anxiety, including learning, job replacement, sociotechnical blindness, and AI configuration, and explored gender differences using a descriptive-correlational quantitative design. A total of 221 psychology students participated in the study. Descriptive statistics revealed a moderate overall anxiety level (M = 4,36, SD = 1,36), with the highest mean scores found in job replacement (M = 4,87, SD = 1,74) and sociotechnical blindness (M = 4,84, SD = 1,67), indicating apprehension toward job loss, technological misuse, and ethical uncertainty. Results from an independent samples t-test showed that female students (M = 4,51) reported significantly higher anxiety than males (M = 4,01), t (219) = 2,54, p = 0,006, d = 0,37, suggesting a small to moderate effect. Overall, the findings indicate that psychology students’ AI anxiety reflects not only technological apprehension but also ethical and professional awareness. The study recommends embedding AI literacy, ethical reasoning, and gender-sensitive training within psychology programs to foster confidence, critical engagement, and readiness for responsible participation in AI-supported practice and research. These implications highlight the need for universities to address emotional and cognitive readiness toward AI early in professional training, ensuring that future psychologists develop balanced, human-centered competencies that harmonize empathy with technological fluency
Virtual Socio-Cultural Collaborative Learning for EFL Speaking Skills Classes
Get PDFVirtual Sociocultural Collaborative Learning (VSCL) is an innovative techno-pedagogical approach aimed at enhancing English as a Foreign Language (EFL) speaking skills in classrooms. This study investigated the impact of VSCL on EFL speaking proficiency through a quasi-experimental design, utilizing pre- and post-test time-series measurements. The Cognitive Function Scale (ACFS) was used to assess the effectiveness of the VSCL. The results indicated that VSCL significantly improved classification, perspective-taking, and verbal and auditory skills, confirming its positive influence on learners. Furthermore, VSCL was found to enhance key speaking components, including grammar, fluency, accuracy, and comprehension, with a t-count of 0.000, which was lower than the t-table value of 0.68. These findings suggest that VSCL is a valuable approach for EFL teachers to support diverse zones of proximal development (ZPD) in their classrooms
Leveraging Internet of Things (IoT) to Enhance Accessibility and Independence for People with Disabilities
Get PDFAny physical or mental ailment (impairment) that makes it harder for the affected individual to engage in particular activities (activity limitation) or engage with their environment (participation restrictions) is considered a disability. According to the 2011 Census, 2.68 Cr people (2.21% of India\u27s 121 crore total population) are classified as "Disabled." One way to combat disability is to develop intelligent prosthesis and assistive technology. The usability and functionality of these devices are improved by real-time monitoring, feedback, and control made possible by advanced sensors and networking. We have attempted to use some of the Internet of Technologies\u27 (IOT) solutions to address the limits in this research. People with disabilities could live far better lives because to the Internet of Things (IoT), which offers creative solutions to a range of problems they could encounter. IoT integration offers a revolutionary chance to address disability and create a more inclusive society in many areas of life. IoT is transforming how we meet the requirements of people with disabilities, from smart assistive devices and home automation to health monitoring, communication aids, and accessible transportation. In this research paper, we have proposed some IoT based models to tackle few constraints of disabled people which can help the disabled people with their day-to- day problems
The use of AI in the organization of local government work
Get PDFThe article discusses the use of AI in organizing the work of local governments. The competencies required for employees in the management field were identified to enable them to effectively interact with automated systems based on AI algorithms. The most popular types of AI are identified, which are already used in the work of municipalities in Ukraine and abroad. Promising areas for the use of AI in public administration were identified. The results of the current study made it possible to identify a wide practice of using AI in the field of municipal management and describe new opportunities for its implementation in the practice of local self-government bodies in Ukraine. The practical result of the study is a set of recommendations for improving the effectiveness of the use of AI in the organization of the work of local self-government bodies. The theoretical result was the identification of the main regularities in the use of AI algorithms and automated systems created on their basis in the professional activities of specialists in the field of municipal management. It is emphasized that the transition to the use of modern technologies and means of implementing managerial decisions at a qualitatively new level has already become one of the necessary tools for the effective work of local authoritie
The impact of AI on the adaptation of educational materials and teaching methods to the needs of each student
Get PDFArtificial intelligence (AI) is significantly transforming the educational process, offering new opportunities to adapt learning materials and teaching methods to the individual needs of each student. This article explores the impact of AI on education, in particular, how innovative technologies can help achieve personalized learning. It analyzes the main advantages and challenges of AI implementation in education, as well as practical examples and prospects for the development of this technology. The study shows that the introduction of AI contributes to the efficiency of the educational process, improves student engagement, and allows teachers to more accurately take into account individual differences in students\u27 abilities and learning styles. The study results emphasize the need for further development and implementation of AI technologies in education to ensure a more inclusive and efficient learning environmen
Artificial intelligence tools for automating philological text research
Get PDF Introduction: in recent years, artificial intelligence (AI) has significantly advanced across various fields, including linguistics, particularly in translation. While AI offers substantial opportunities for translation automation, scholarly debates continue regarding its reliability and impact on the translation process.Purpose: This study aims to analyze the role of artificial intelligence in automating linguistic research and to provide a comprehensive evaluation of its main advantages and limitations compared to human translation.Method: The study employs a systematic literature review based on scientific articles from Google Scholar, ResearchGate, and Scopus. A total of 55 scientific articles were analyzed, 25 specifically focused on automated translation\u27s characteristics and challenges.Results: The findings indicate that collaboration between human translators and artificial intelligence is the most effective approach. AI is an auxiliary tool that enhances translation efficiency but cannot fully replace human translators due to their unique ability to convey emotions, cultural subtleties, and linguistic nuances. AI has great potential in overcoming language barriers but remains limited in comprehending cultural context and stylistic intricacies.Conclusion: The optimal use of AI in translation is in cooperation with human translators. While AI can significantly augment translation efficiency, it cannot entirely replace human expertise, particularly in literary and academic texts