Instructor-Created Custom GPTs as Pedagogical Partners Fostering Immersion in Online Higher Education: Two Case Studies
As online higher education expands, sustaining student engagement remains a critical challenge. This paper approaches immersive learning by investigating how custom GPTs foster immersion (as a state of deep mental involvement) for students and instructors. While large language models (LLMs) offer potential for enhancing feedback, little research has examined instructor-created custom GPTs designed to align with specific pedagogical goals. This paper addresses this gap, employing the Immersive Le
Record details
Published: 29 March 2026
Source: arXiv
Category: Research
Topics: Children & education · 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.
Evaluating LLMs for Answering Student Questions in Introductory Programming Courses
arXiv · 30 March 2026
Multi-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education
arXiv · 27 March 2026
How unique are hallucinated citations offered by generative Artificial Intelligence models?
arXiv · 31 March 2026
When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
arXiv · 25 March 2026
Pedagogical partnerships with generative AI in higher education: how dual cognitive pathways paradoxically enable transformative learning
OpenAlex · 24 March 2026
Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom
arXiv · 21 March 2026
How to cite this record
ethics.ai (29 March 2026), “Instructor-Created Custom GPTs as Pedagogical Partners Fostering Immersion in Online Higher Education: Two Case Studies,” evidence record 6617, https://ethics.ai/record/6617 (originally published by arXiv).
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.