NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Users' Voice-Switching Behaviors, Embodiments and Perceptions of Voice Assistants
Peer reviewed Peer reviewed
Direct linkDirect link
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
The Effects of Conversational Agents on Human Learning and How We Used Them: A Systematic Review of Studies Conducted before Generative AI
Peer reviewed Peer reviewed
Direct linkDirect link
Ngocvan Bui; Jessica Collier; Yunus Emre Ozturk; Donggil Song – TechTrends: Linking Research and Practice to Improve Learning, 2025
The popularity of generative AI chatbots, such as ChatGPT, has sparked numerous studies investigating their use in educational contexts. However, it is important to note that chatbots are not a new phenomenon; researchers have explored conversational agents across diverse fields for decades. Conversational agents engage users in natural language…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education, Technology Integration
Design and Development of Artificial Intelligence Dynamic Physical Education Teaching Resources in Human-Computer Interaction Mode
Peer reviewed Peer reviewed
Direct linkDirect link
Jian-hui Wu – Journal of Educational Computing Research, 2025
The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional…
Descriptors: Artificial Intelligence, Physical Education, Instructional Materials, Middle School Students