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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
Musa Nyathi – Asian Association of Open Universities Journal, 2024
Purpose: This paper evaluated the effectiveness of blended learning of business courses in higher learning institutions (HEIs) in developing economies. Design/methodology/approach: A survey, involving 215 learners, was used to collect data. A stratified sampling technique was used in this study. The data were analyzed using the PROCESS macro in…
Descriptors: Blended Learning, Business Administration Education, Developing Nations, Courses