Exploring the role of agentic AI in fostering self-efficacy, autonomy support, and self-learning motivation in higher education
Introduction: Rapid adoption of Artificial Intelligence (AI) in learning has revolutionized learners' engagement but comprehension of psychological and technological drivers of successful AI-enabled learning remains scarce. This research investigates how students' perceived agency of AI, usefulness, ease of use, trust, autonomy supporting, and self-efficacy collectively impact students' self-learning behavior and motivation. Based on Technology Acceptance Model (TAM), Social Cognitive Theory (SC
Record details
Published: 22 January 2026
Source: OpenAlex
Category: Research
Topics: Children & education · Agents & autonomy · Finance, VC & PE
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.
Human-Centric Artificial Intelligence Pedagogy (HCAP) framework developed from TPACK through integration of artificial intelligence literacy and competency
OpenAlex · 15 January 2026
Loneliness and suicide mitigation for students using GPT3-enabled chatbots
OpenAlex · 22 January 2024
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
OpenAlex · 9 December 2022
How Bolna AI Is Helping Enterprises Win The Voice AI Race
Inc42 (IN) · 15 July 2026
Construction robot startup Monumental reels in $32M
SiliconANGLE AI · 15 July 2026
Rural NY School District Will Be One of First to Bring Humanoid Robot Into Classroom
The 74 (education AI) · 25 July 2026
How to cite this record
ethics.ai (22 January 2026), “Exploring the role of agentic AI in fostering self-efficacy, autonomy support, and self-learning motivation in higher education,” evidence record 10014, https://ethics.ai/record/10014 (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.