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Belle Li; Curtis J. Bonk; Xiaojing Kou – International Journal of Computer-Assisted Language Learning and Teaching, 2023
ChatGPT's ability to realistically mimic human conversation and its high level of ability to handle linguistic ambiguity opens new and exciting avenues in language learning. Building upon the technical affordances of ChatGPT, this study explores the perceptions of educational affordances when incorporating ChatGPT across languages discussed by…
Descriptors: Language Acquisition, Second Language Learning, Artificial Intelligence, Audiovisual Aids
Neil Kramm; Sioux McKenna – Teaching in Higher Education, 2023
The dominant response within higher education to the emergence of free online text- and graphic-generating software has been a concern with identifying AI usage in students' work. We argue that this is both a waste of time and neglects our educational responsibilities. A police-catch-punish approach to AI, as with the use of this process in…
Descriptors: Artificial Intelligence, Higher Education, Plagiarism, Learning Experience
Eman A. Alasadi; Carlos R. Baiz – Journal of Chemical Education, 2023
In this article, we discuss the role of generative artificial intelligence (AI) in education. The integration of AI in education has sparked a paradigm shift in teaching and learning, presenting both unparalleled opportunities and complex challenges. This paper explores critical aspects of implementing AI in education to advance educational goals,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Goal Orientation, Ethics
Michael Martin; Katherine Hartmann; Shannon Archibeque-Engle – Journal of Agricultural Education, 2023
The "FFA for All" campaign from the National FFA Organization represents an important step for diversity, equity, and inclusivity in the youth organization. The challenge of making the FFA more inclusive for diverse students presents question for investigation. What elements within the FFA represented barriers to people of color from…
Descriptors: Inclusion, Youth, Barriers, Whites
Shim, Kyong Jin; Menkhoff, Thomas; Teo, Lydia Ying Qian; Ong, Clement Shi Qi – Education and Information Technologies, 2023
In this paper, we empirically examine and assess the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students enrolled in an elective course "Doing Business with A.I." in the Lee Kong Chian School of Business (LKCSB) at Singapore Management University. The chatbot workshop provides…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Workshops, Experiential Learning
Baig, Maria Ijaz; Yadegaridehkordi, Elaheh; Shuib, Liyana; Sallehuddin, Hasimi – Education and Information Technologies, 2023
Even though big data offers new opportunities to organizations, big data adoption (BDA) is still in the early stages of introduction, and its determinants remain unclear in many sectors. Therefore, this research intended to identify the determinants of BDA in the education sector. A theoretical model was developed based on the integration of the…
Descriptors: Foreign Countries, Learning Analytics, Higher Education, Structural Equation Models
Emily Oakes; Yih Tsao; Victor Borden – Association for Institutional Research, 2023
Accelerating advancements in learning analytics and artificial intelligence (AI) offers unprecedented opportunities for improving educational experiences. Without including students' perspectives, however, there is a potential for these advancements to inadvertently marginalize or harm the very individuals these technologies aim to support. This…
Descriptors: Learning Analytics, Artificial Intelligence, Student Participation, Decision Making
Sandra Naumann; Mareike Bayer; Simone Kirst; Elke van der Meer; Isabel Dziobek – npj Science of Learning, 2023
In this randomized controlled trial (RCT), the digital socio-emotional competence training Zirkus Empathico was tested in 74 Central European children (5.1 (0.9) years; 34 females) within a longitudinal design (three time points: T1 = pre-training; T2 = immediately following 6-week training, T3 = 3-month follow-up). The pre-registered primary…
Descriptors: Foreign Countries, Preschool Children, Interpersonal Competence, Empathy
M. Danish Shakeel; Paul E. Peterson – Annenberg Institute for School Reform at Brown University, 2021
Principals (policymakers) disagree as to whether U. S. student performance has changed over the past half century. To inform conversations, agents administered seven million psychometrically linked tests in math (m) and reading (rd) in 160 survey waves to national probability samples of cohorts born between 1954 and 2007. Estimated change in…
Descriptors: Academic Achievement, Time Perspective, Ethnic Diversity, Socioeconomic Status
Mubarak, Ahmed Ali; Cao, Han; Ahmed, Salah A. M. – Education and Information Technologies, 2021
Analysis of learning behavior of MOOC enthusiasts has become a posed challenge in the Learning Analytics field, which is especially related to video lecture data, since most learners watch the same online lecture videos. It helps to conduct a comprehensive analysis of such behaviors and explore various learning patterns for learners and predict…
Descriptors: Learning Analytics, Online Courses, Video Technology, Artificial Intelligence
Warwick, Claire – New Review of Academic Librarianship, 2021
During the pandemic we have found that the experience of interaction online, whether with other people, or with information is very different from what we do in person. And this experience is seldom compared favourably to physical, interaction. Thanks to the A level algorithm fiasco, algorithms are treated with growing scepticism and social media…
Descriptors: Information Utilization, Decision Making, Artificial Intelligence, Psychological Patterns
Yang, Chunsheng; Chiang, Feng-Kuang; Cheng, Qiangqiang; Ji, Jun – Journal of Educational Computing Research, 2021
Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Data Use, Models
Torsney, Benjamin M.; Korstange, Ryan; Symonds, Jennifer E. – Psychology in the Schools, 2021
The current study investigated whether a brief refutation text intervention could change college students' misconceptions about the malleability of their intelligence and abilities. Students from a 2-year college and a 4-year university in a large urban city in the Northeastern United States participated in experimental and control conditions. A…
Descriptors: Misconceptions, Ability, Intelligence, Cognitive Structures
Chau, Hung; Labutov, Igor; Thaker, Khushboo; He, Daqing; Brusilovsky, Peter – International Journal of Artificial Intelligence in Education, 2021
The increasing popularity of digital textbooks as a new learning media has resulted in a growing interest in developing a new generation of "adaptive textbooks" that can help readers to learn better through adapting to the readers' learning goals and the current state of knowledge. These adaptive textbooks are most frequently powered by…
Descriptors: Automation, Textbooks, Computer Uses in Education, Artificial Intelligence
Manasa Devi, Mortha; Seetha, Maddala; Viswanadha Raju, Somalaraju – Journal of Computing in Higher Education, 2021
Automated text detection and analysis holds incredible potential for research in higher education. It is challenging because higher education institutes produce an enormous amount and variety of texts, letters, articles, books, reports etc. Futuristic E-learning based education replaces the difficulty of understanding the semantic meaning of the…
Descriptors: Online Courses, Higher Education, Video Technology, Educational Technology

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