Impact of AI assistance on student agency
AI-powered learning technologies are increasingly being used to automate and scaffold learning activities (e.g., personalised reminders for completing tasks, automated real-time feedback for improving writing, or recommendations for when and what to study). While the prevailing view is that these technologies generally have a positive effect on student learning, their impact on students’ agency and ability to self-regulate their learning is under-explored. Do students learn from the regular, det
Record details
Published: 30 November 2023
Source: OpenAlex
Category: Research
Topics: Regulation · Children & education
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning
OpenAlex · 6 November 2023
Understanding students’ adoption of the ChatGPT chatbot in higher education: the role of anthropomorphism, trust, design novelty and institutional policy
OpenAlex · 16 February 2024
Extended TAM based acceptance of AI-Powered ChatGPT for supporting metacognitive self-regulated learning in education: A mixed-methods study
OpenAlex · 1 April 2024
A comprehensive AI policy education framework for university teaching and learning
OpenAlex · 6 July 2023
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
OpenAlex · 31 May 2024
The evolving role of nursing informatics in the era of artificial intelligence
OpenAlex · 10 January 2025
How to cite this record
ethics.ai (30 November 2023), “Impact of AI assistance on student agency,” evidence record 9384, https://ethics.ai/record/9384 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.