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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
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Mavis Brew; Stephen Taylor; Rachel Lam; Leo Havemann; Chrissi Nerantzi – Asian Journal of Distance Education, 2023
This article reports the reflections of the co-organisers on a recent AI in Higher Education event which was led by students from the University of Leeds and University College London. While academic communities and experts have contributed significantly to the discourse, students' perspectives have so far been underrepresented. Three student…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Uses in Education, Higher Education
Caleb L. Fowler Jr. – ProQuest LLC, 2023
It is becoming ever more challenging to address the changing landscape faced by California Community Colleges. Change agents strive to implement needed interventions but are often disappointed in the outcomes. However, the literature shows that the odds of successful change increase when interventions align with the organization's culture. The…
Descriptors: Community Colleges, Change Agents, School Culture, Institutional Characteristics
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