NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Huixiao Le; Yuan Shen; Zijian Li; Mengyu Xia; Luzhen Tang; Xinyu Li; Jiyou Jia; Qiong Wang; Dragan Gaševic; Yizhou Fan – British Journal of Educational Technology, 2025
Understanding learners' preferences in educational settings is crucial for optimizing learning outcomes and experience. As artificial intelligence (AI) becomes increasingly integrated into educational contexts, it is crucial to understand learners' preferences between AI and human tutors to support their learning. While AI demonstrates growing…
Descriptors: Student Attitudes, Preferences, Electronic Learning, Artificial Intelligence
Xiaoman Wang – ProQuest LLC, 2024
This study presents a collaborative learning experience design aimed to promote Algorithmic Literacy (AL) among middle school students. Developed in partnership with middle school teachers and students, the design addresses the need to equip students with the knowledge and skills necessary to navigate an algorithm-driven digital landscape. The…
Descriptors: Middle School Students, Algorithms, Multiple Literacies, Cooperative Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ahmed Alkaabi; Asma Abdallah; Shamma Alblooshi; Fatima Alomari; Sara Alneaimi – Journal of Education and e-Learning Research, 2025
This study examines the opportunities and challenges of employing ChatGPT in higher education, identifies essential user competencies, and evaluates its impact in the absence of formal policy guidelines. A qualitative case study design involved interviews with 10 faculty members and 10 students at a federal university in the United Arab Emirates.…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Higher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence