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Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
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Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
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Lorna Hamilton; Angela Jaap – Teacher Development, 2024
This exploratory study aimed to investigate the implicit (personal theories) of student teachers through consideration of their beliefs about the nature of ability (intelligence). By drawing on ideas of personhood and identity to investigate constructions of intelligence, the authors also hoped to begin to explore the legitimacy of a multifaceted…
Descriptors: Foreign Countries, Student Teachers, Student Attitudes, Beliefs
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Yixun Xing – Teaching Statistics: An International Journal for Teachers, 2024
Generative artificial intelligence (AI) has shown the potential to reshape the world and redefine daily workflows. One specific instance of generative AI, ChatGPT, specializes in understanding natural language and generating human-like conversational text. Its free access, user-friendly interface, and instant feedback have propelled its popularity…
Descriptors: Artificial Intelligence, Synchronous Communication, Statistics, Data Analysis
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Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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Sadhu Prasad Kar; Amit Kumar Das; Rajeev Chatterjee; Jyotsna Kumar Mandal – Education and Information Technologies, 2024
Technology Enabled Learning (TEL) has a major impact on the learning adaptability of the learners. During the COVID-19 pandemic, there has been a drastic change in the learning methodology. The adaptability of learners from the various domains, levels and age has been a significant component of research in context to education. In this paper, the…
Descriptors: Online Courses, Artificial Intelligence, Technology Uses in Education, Student Adjustment
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Christof Royer – Studies in Philosophy and Education, 2024
This article analyses ChatGPT from the perspective of the philosophy of education. It explores ChatGPT's implications for universities, focussing on the intertwined concepts of critical thinking, the crisis of higher education, and humanity. Does ChatGPT sound the death knell for critical thinking and, thus, exacerbate the oft-diagnosed 'crisis in…
Descriptors: Artificial Intelligence, Educational Philosophy, Higher Education, Universities
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Billy Malone – Turkish Online Journal of Educational Technology - TOJET, 2024
This systematic literature review explores the ethical considerations and challenges instructional designers face when integrating artificial intelligence (AI) into the instructional design process for adult learners. Using the Technological Pedagogical Content Knowledge (TPACK) framework to examine the relationship of ethics, pedagogy, and…
Descriptors: Ethics, Instructional Design, Artificial Intelligence, Adult Learning
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Ozgun Uyanik Aktulun; Koray Kasapoglu; Bulent Aydogdu – Journal of Baltic Science Education, 2024
Identifying student teachers' attitudes and anxiety toward artificial intelligence (AI) in regard to their field of study might be helpful in determining whether and how AI will be employed in their future classrooms. Hence, this study aims to compare pre-service STEM and non-STEM teachers' attitudes and anxiety toward AI. In this quantitative…
Descriptors: Foreign Countries, Preservice Teachers, STEM Education, Student Attitudes
Stephen B. Prentice – ProQuest LLC, 2024
The beneficial effects of nature and natural environments have been extensively researched and the findings generally support that nature and natural environments can reduce stress and improve cognitive function. To evaluate if self-reported stress levels are reduced, or if cognitive functions are enhanced among adult learners in the presence of a…
Descriptors: Anxiety, Cognitive Processes, Cognitive Ability, Educational Environment
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B. Mairéad Pratschke – SpringerBriefs in Education, 2024
This volume addresses the gap in knowledge around generative AI and its applications in education. It draws on the recent history of technological innovation and digital pedagogies, locating generative AI in the contemporary discourse around education futures. It argues that a new hybrid model of education is emerging, requiring educational…
Descriptors: Artificial Intelligence, Educational Technology, Evidence Based Practice, Technology Uses in Education
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Alejandra J. Magana; Syed Tanzim Mubarrat; Dominic Kao; Bedrich Benes – IEEE Transactions on Learning Technologies, 2024
Fostering productive engagement within teams has been found to improve student learning outcomes. Consequently, characterizing productive and unproductive time during teamwork sessions is a critical preliminary step to increase engagement in teamwork meetings. However, research from the cognitive sciences has mainly focused on characterizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teamwork, Learner Engagement
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Jorge Sanabria-Z; Pamela Geraldine Olivo – Interactive Technology and Smart Education, 2024
Purpose: The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.…
Descriptors: Active Learning, Transformative Learning, Artificial Intelligence, Thinking Skills
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Samah AlKhuzaey; Floriana Grasso; Terry R. Payne; Valentina Tamma – International Journal of Artificial Intelligence in Education, 2024
Designing and constructing pedagogical tests that contain items (i.e. questions) which measure various types of skills for different levels of students equitably is a challenging task. Teachers and item writers alike need to ensure that the quality of assessment materials is consistent, if student evaluations are to be objective and effective.…
Descriptors: Test Items, Test Construction, Difficulty Level, Prediction
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Leila Mirzoyeva; Oxana Syurmen – Novitas-ROYAL (Research on Youth and Language), 2024
Nowadays, information and the speed of its delivery to recipients determine success in many spheres, including entertainment, and audio-visual translation plays a vital role in reaching a broad audience, particularly with popular TV shows, series, and soap operas/TV Series. However, overnight translation of audio-visual content usually results in…
Descriptors: Foreign Countries, Translation, Television, Popular Culture
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