Assessing student perceptions and use of instructor versus AI ‐generated feedback

Cited by (119)

Items 101–119 of 119

1. Student Perspectives on the Role of Teaching Assistants in the Age of GenAI
   Alex Chao, Mia Chen, Yang Yuan-kai, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj · 2026 · ACM Conference on International Computing Education Research (ICER)
2. Closing the Loop: Structured Feedback Generation and Validationfor Short Answer Scoring with Large Language Models
   Lei Chen, BoYu Gao, Zitao Liu, Tingjie Wan · 2026 · SSRN Electronic Journal
3. Designing Growth Mindset-Inspired Feedback Messages Tailored to Learning Behaviors Using LLM and Persuasive Strategies
   Mehnuma Tabassum Omar, Parham Moradi, Ogoti Sasha, Julita Vassileva · 2026 · European Conference on Cognitive Ergonomics
4. Perceived usefulness and intention to use large language model-generated feedback across three educational levels: a user-centred study in programming
   Pedro C. Mendonça, Filipe Quintal, Mário Figueiredo, Fábio Mendonça · 2026 · Frontiers in Education
5. Evaluating Artificial Intelligence, Peer, and Instructor Feedback Across Scientific Communication Assignments in Undergraduate Biology
   Boies, Lori · 2026 · Ecology and Evolution
6. AI-peer integrated feedback in second language writing classes: exploring students’ engagement and writing performance
   Wen Liu · 2026 · Frontiers in Psychology
7. Students' Perspectives on AI in English Language Learning: Evidence from Vietnamese Higher Education
   Thi Duyen Phuong, Yen Van Tran, Thi Nhung Phu · 2025 · International Conference on E-Society, E-Education and E-Technology (ICSET)
8. Generative AI and LLMs in educational assessment: challenges, evidence, and a process-based framework
   Jussi Sakari Jauhiainen · 2026 · Academia AI and Applications
9. Responsible Use of AI-Generated Feedback and Sustainable Learning Engagement Among Chinese University Students: A Dual-Path Model of Feedback Literacy and Feedback Dependence
   Yang Huang, Yanzhen Li · 2026 · Sustainability
10. Generative-AI/LLM-Enabled E-Assessment in Higher Education: A Bibliometric Analysis of Research Trends, Collaboration Networks, and Thematic Evolution
    Hayat Elyacoubi, El Mustapha Baytar, Nadia Saqri, Lynda Ouchaouka · 2026 · Computers
11. Pedagogical Hallucination in AI Tutoring: A Conceptual Framework for Learning Harm, Severity, and Governance
    Sutharsan Chiranjeevi Partha Saarathy, Sadia Riaz · 2026 · World Symposium on Artificial Intelligence (WSAI)
12. How Generative AI-Assisted Formative Feedback Is Appraised and Implemented in Online Collaborative Learning
    Guoqing Lu, Huimin Zhang, Shen Ba, Lan Yang · 2026 · Journal of Educational Computing Research
13. Explaining and Sustaining AI Assimilation in Higher Education: The Dual Roles of Engagement and Skeptical Engagement
    Mohammad Islam Biswas, Md. Shamim Talukder, Muhammad Imran Tanveer Opel · 2026 · Research Square
14. When AI Delivers the Message: Emotional and Relational Consequences of AI-Generated Feedback in Marketing Education
    A. Banu Elmadag, Aisha Ghimire · 2026 · Marketing Education Review
15. The Cost of Algorithmic Assessment: How AI Grading Undermines Academic Motivation and Amplifies AI Reliance Intentions
    Jae‐Eun Namkoong, Thomas A. Burnham · 2026 · Education Sciences
16. Exploring undergraduate experiences with AI tools in higher education
    Burhan Özfidan, Santiago Luaces, Christa Reyes, Nika Verna · 2026 · International Journal of Information and Learning Technology
17. Evaluating LLM-Generated Feedback in Distance Project-Based Learning: Learner Perceptions and Comparison with Teacher Feedback
    Kosuke Sasaki, Tomoo Inoue · 2026 · Lecture notes in computer science
18. Feedback humano ou artificial? Comparando percepções de estudantes sobre feedback gerado por LLM e professores em atividades de POO
    MARCEL DE MELO, Luiz Rodrigues, Rafael Ferreira Mello, Cleon Xavier, Rafael Dias Araújo · 2026 · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação
19. “I’m sorry, Dave. I’m afraid this feedback is not constructive”: Human perspectives versus ChatGPT evaluations of feedback in an era of artificial intelligence
    Carlton J. Fong, Pedram Zarei, Diane Lemonnier Schallert, Sajjad Mahdavivand Fard, Ali Dezhkameh · 2026 · Computers and Education Open