Students’ Perceptions of AI Digital Assistants (AIDAs): Should Institutions Invest in Their Own AIDAs?
Open Access
- 13 April 2025
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 15 (8) , 4279
Abstract
This mixed methods study explores 315 distance learning students’ perceptions of artificial intelligence digital assistants (AIDAs) over an 11-month period in three distinct studies. The research investigates student perspectives on both a publicly available AI digital assistant (p-AIDA), such as ChatGPT, and a potential institutionally developed AI digital assistant (i-AIDA). Findings indicate that students highly valued 24/7 immediate academic feedback and the personalisation of the i-AIDA, and these perspectives remained largely stable across the three studies. However, concerns about academic integrity, data privacy, and ethical implications persisted across the studies. A cluster analysis identified three distinct student groups of highly critical, supportive, and keenly supportive learners, with key differences based on prior GenAI experience, educational background, and age. This study underscores both the potential and challenges of developing institutional AI solutions to enhance student learning while addressing privacy and ethical concerns.Keywords
This publication has 21 references indexed in Scilit:
- AI for data generation in education: Towards learning and teaching support at scaleBritish Journal of Educational Technology, 2025
- Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studiesComputers & Education, 2024
- The promise and challenges of generative AI in educationBehaviour & Information Technology, 2024
- What distance learning students want from an AI Digital AssistantDistance Education, 2024
- How group structure, members' interactions and teacher facilitation explain the emergence of roles in collaborative learningLearning and Individual Differences, 2024
- Impact of AI assistance on student agencyComputers & Education, 2023
- Exploring the Use of Artificial Intelligence for Qualitative Data Analysis: The Case of ChatGPTInternational Journal of Qualitative Methods, 2023
- ChatGPT for good? On opportunities and challenges of large language models for educationLearning and Individual Differences, 2023
- The engagement of university teachers with predictive learning analyticsComputers & Education, 2021
- From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable RepresentationsIEEE Transactions on Learning Technologies, 2018