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Okubo, Fumiya; Shiino, Tetsuya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – IEEE Transactions on Learning Technologies, 2023
In this study, we propose an integrated system to support learners' reviews. In the proposed system, the review dashboard is used to recommend review contents that are adaptive to the individual learner's level of understanding and to present other information that is useful for review. The pages of the digital learning materials that are…
Descriptors: Learning Management Systems, Student Evaluation, Automation, Artificial Intelligence
Adiguzel, Tufan; Kaya, Mehmet Haldun; Cansu, Fatih Kürsat – Contemporary Educational Technology, 2023
Artificial intelligence (AI) introduces new tools to the educational environment with the potential to transform conventional teaching and learning processes. This study offers a comprehensive overview of AI technologies, their potential applications in education, and the difficulties involved. Chatbots and related algorithms that can simulate…
Descriptors: Artificial Intelligence, Educational Technology, Barriers, Man Machine Systems
Möller, Annette; George, Ann Cathrice; Groß, Jürgen – International Journal of Research & Method in Education, 2023
Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…
Descriptors: Foreign Countries, Learning Analytics, Classification, Artificial Intelligence
Zhou, Dandan; Hedges, Helen – International Journal of Early Years Education, 2023
Education reform in early childhood education in China has often adopted western theories and pedagogies in efforts to facilitate educational change. The theory of multiple intelligences (MI) is an example of one adopted. This paper reports on a study that examined factors that influence Chinese kindergarten teachers' use of MI theory in their…
Descriptors: Foreign Countries, Multiple Intelligences, Kindergarten, Preschool Teachers
Álvarez-Álvarez, Carmen; Falcon, Samuel – Educational Technology Research and Development, 2023
University teaching practices impact student interest, engagement, and academic performance. This paper presents a study that uses artificial intelligence (AI) to examine students' preferences for university teaching practices. We asked students in various fields open-ended questions about the best teaching practices they had experienced. Due to…
Descriptors: College Students, Preferences, Teaching Methods, Artificial Intelligence
Al-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
Zhu, Chenjia; Sun, Meng; Luo, Jiutong; Li, Tianyi; Wang, Minhong – Knowledge Management & E-Learning, 2023
Technological advancements, particularly in the field of artificial intelligence (AI) have played an increasingly important role in transforming education. More recently, ground-breaking AI applications like ChatGPT have demonstrated the potential to bring radical changes to the educational landscape due to their capability to understand complex…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Technology Uses in Education
Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning
Wang, Hei-Chia; Maslim, Martinus; Kan, Chia-Hao – Education and Information Technologies, 2023
Distance learning frees the learning process from spatial constraints. Each mode of distance learning, including synchronous and asynchronous learning, has disadvantages. In synchronous learning, students have network bandwidth and noise concerns, but in asynchronous learning, they have fewer opportunities for engagement, such as asking questions.…
Descriptors: Automation, Artificial Intelligence, Computer Assisted Testing, Asynchronous Communication
Sharma, Harsh; Mathur, Rohan; Chintala, Tejas; Dhanalakshmi, Samiappan; Senthil, Ramalingam – Education and Information Technologies, 2023
Examination assessments undertaken by educational institutions are pivotal since it is one of the fundamental steps to determining students' understanding and achievements for a distinct subject or course. Questions must be framed on the topics to meet the learning objectives and assess the student's capability in a particular subject. The…
Descriptors: Taxonomy, Student Evaluation, Test Items, Questioning Techniques
Yang, Tzu-Chi – Educational Technology & Society, 2023
The development of digital competence has become an important part of higher education, and digital competence assessments have attracted considerable attention and concerns. Previous studies in this area mainly focused on self-reporting and manual review methods such as questionnaires, which offer limited assessment value. To solve this issue,…
Descriptors: Artificial Intelligence, Digital Literacy, Natural Language Processing, Higher Education
Luo, Zhenzhen; Zheng, Chaoyu; Gong, Jun; Chen, Shaolong; Luo, Yong; Yi, Yugen – Education and Information Technologies, 2023
Learning interest affects the way of learning and its process, which is an important factor that affects the learning effect. At present, students' learning interest in a teaching environment is mainly based on a traditional questionnaire or case analysis, which is not conducive for teachers to promptly access students' interest in class to…
Descriptors: Student Interests, Artificial Intelligence, Attention, Psychological Patterns
Yeo, Sara K.; Su, Leona Y.-F.; Cacciatore, Michael A.; Zhang, Jennifer Shiyue; McKasy, Meaghan – International Journal of Science Education, Part B: Communication and Public Engagement, 2023
Humor is widespread in communication and its use in the context of science is no exception. Although science jokes are pervasive on social media, we are only beginning to understand the mechanisms through which humor affects people's attitudes, opinions, and perceptions of scientific topics. Here, we add to our understanding of how funny science…
Descriptors: Humor, Climate, Artificial Intelligence, Microbiology
Pezzuti, Lina; Michelotti, Clara; Dawe, James; Lang, Margherita – Educational Gerontology, 2023
The aim of the paper was to study the intellectual profile of 94 gifted elders aged 60-90 years old with an IQ equal to or higher than 130 on at least one of the four primary indexes of the Wechsler Adult Intelligence Scale -- Fourth Edition. Their performances in the 15 subtests, in the Full Scale Intelligence Quotient, in the primary,…
Descriptors: Older Adults, Intelligence Quotient, Gifted, Adults

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