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Dania Bilal; Li-Min Cassandra Huang – Information and Learning Sciences, 2025
Purpose: This paper aims to investigate user voice-switching behavior in voice assistants (VAs), embodiments and perceived trust in information accuracy, usefulness and intelligence. The authors addressed four research questions: RQ1. What is the nature of users' voice-switching behavior in VAs? RQ2: What are user preferences for embodied voice…
Descriptors: Undergraduate Students, Artificial Intelligence, Natural Language Processing, Information Retrieval
Shilpa Bhaskar Mujumdar; Haridas Acharya; Shailaja Shirwaikar; Prafulla Bharat Bafna – Journal of Applied Research in Higher Education, 2024
Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…
Descriptors: Problem Based Learning, Information Retrieval, Data Analysis, Pattern Recognition
Zhaofeng Zeng; Siew Wei Tho; Zhengfang Gao; Nur Hamiza Adenan; Sue Ting Ng – International Journal of Education in Mathematics, Science and Technology, 2024
This study aims to review the STEM education intervention on the undergraduate level by applying CiteSpace software, an innovative tool for bibliometric analysis and visualization. The Web of Science (WOS) database was used and covers the period from January 2008 to August 2023. Based on keyword search, seven clusters with the largest research…
Descriptors: STEM Education, Undergraduate Students, Databases, Information Retrieval
Burcu Karafil; Ahmet Uyar – Education and Information Technologies, 2025
This study investigates the knowledge, attitudes, and practices (KAP) of Chat Generative Pre-Trained Transformer (ChatGPT) among academics working in the field of educational science in Türkiye. Employing a mixed-methods research design, the study aimed to explore both quantitative and qualitative aspects of academics' interactions with ChatGPT.…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Computer Attitudes
Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education