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The Transformative Potential of Artificial Intelligence: Recommendations for Student Affairs Leaders
Claire Brady – NASPA - Student Affairs Administrators in Higher Education, 2024
This report examines the transformative role of artificial intelligence (AI) in student affairs, demonstrating its potential to personalize student interactions, automate routine processes, and leverage data insights for informed decision-making. AI presents unprecedented opportunities to enhance the student experience. The report emphasizes…
Descriptors: Artificial Intelligence, Computer Software, Decision Making, Ethics
M. Borge; B. K. Smith; T. Aldemir – International Journal of Computer-Supported Collaborative Learning, 2024
In this paper, and as a tribute to our friend and collaborator Barbara White, we explore how Generative AI (GenAI) technology can create stimulating new learning environments that support complex sense-making activities. We present a case study of expert use of a chat-based generative AI tool to examine the feasibility of using human-computer…
Descriptors: Artificial Intelligence, Simulation, Thinking Skills, Technology Uses in Education
Jessica D. Young; Lisa Dawood; Scott E. Lewis – Journal of Chemical Education, 2024
Instructors use of Artificial Intelligence (AI) language models (i.e., chatbots) as an educational resource will require an understanding of students' AI literacy, namely their ability to critically reflect on the relevance, trustworthiness, and quality of these tools in the context of chemistry. This study sought to describe students' AI literacy…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Multiple Literacies
Anwesa Das; Vinay Kumar; Aditya Narayan Hati; Sharda Bharti – IEEE Transactions on Education, 2024
Machine learning (ML) is increasingly utilized in the development and assurance of safety-critical systems (SCSs) nowadays, much like other complex problems. Safety is the topmost priority in SCS, hence, developers who are working in this area must possess extensive knowledge of both ML and SCS. This article presents a methodical investigation…
Descriptors: Artificial Intelligence, Computer Security, Engineering Education, Engineering
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Xingyu Geng; Yu-Sheng Su – International Journal of Science and Mathematics Education, 2024
The metaverse offers unique opportunities for K-12 students to learn STEM subjects in online and blended settings, providing interactive and authentic experiences. Although previous studies have produced mixed findings on the influence of the metaverse on perceptions and academic achievement of online and blended STEM learning, it is necessary to…
Descriptors: Elementary Secondary Education, Educational Technology, Technology Uses in Education, STEM Education
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Huimin Wang; Saifon Songsiengchai; Kanon Somrang; Nadda Angsuwotai; Premsuree Chiamthong – International Journal of Education and Literacy Studies, 2024
This study focused on the Yuehua Secondary Vocational School students in Dezhou City. The objectives of this research were: (1) study the cooperative learning method's impact on the emotional involvement of art majors in secondary vocational schools, (2) to investigate how students' emotional involvement influences their learning outcomes and…
Descriptors: Cooperative Learning, Psychological Patterns, Creativity, Literacy
Jaeho Jeon; Seongyong Lee – Education and Information Technologies, 2024
Research has demonstrated the promising potential of chatbots in education. Moreover, technological advancements, such as ChatGPT, prompted us to reexamine distinctions between pedagogical roles that humans and chatbots assume. In this context, a systematic review of 11 experimental studies on human-chatbot comparisons in language education was…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Assisted Instruction
Artur Strzelecki; Karina Cicha; Mariia Rizun; Paulina Rutecka – Education and Information Technologies, 2024
Since OpenAI released ChatGPT, the discussion on its usage in education has been conducted by students and teachers of every education level. Also, many studies have been performed on the tool's possibilities and the threats related to its usage, such as incomplete or inaccurate information obtained or even plagiarism. Many universities worldwide…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Faculty, Teacher Attitudes
Mehdi Darban – Education and Information Technologies, 2024
This study advances the understanding of Artificial Intelligence (AI)'s role, particularly that of conversational agents like ChatGPT, in augmenting team-based knowledge acquisition in virtual learning settings. Drawing on human-AI teams and anthropomorphism theories and addressing the gap in the literature on human-AI collaboration within virtual…
Descriptors: Artificial Intelligence, Influence of Technology, Group Instruction, Electronic Learning
Marilena Z. Leana-Tascilar – Cogent Education, 2024
This study aimed to develop a comprehensive tool to assess underachievement in gifted students, incorporating input from parents, teachers, and students themselves. A total of 285 participants, including 95 gifted students, their parents, and teachers, were involved in the study. The results have revealed a four-factor structure for the Gifted…
Descriptors: Psychometrics, Academic Achievement, Underachievement, Academically Gifted
Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence

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