Text / content analysis

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 121 - 150 of 233 studies

How K-12 Educators Use Ai: Llm-Assisted Qualitative Analysis At Scale

Alex Liu, Lief Esbenshade, Shawon Sarkar, Zewei Tian, Zachary Zhang, Kevin He, Min Sun. (12/2025). arXiv. https://arxiv.org/pdf/2507.17985v3
Unveiling User Perceptions In The Generative Ai Era: A Sentiment-Driven Evaluation Of Ai Educational Apps' Role In Digital Transformation Of E-Teaching

Adeleh Mazaheriyan, Erfan Nourbakhsh. (12/2025). arXiv. https://arxiv.org/pdf/2512.11934v1
The Adoption And Usage Of Ai Agents: Early Evidence From Perplexity*

Jeremy Yang, Noah Yonack, Kate Zyskowski, Denis Yarats, Johnny Ho, Jerry Ma. (12/2025). arXiv. https://arxiv.org/pdf/2512.07828v2
Examining Student Interactions With A Pedagogical Ai-Assistant For Essay Writing And Their Impact On Students' Writing Quality

Wicaksono Febriantoro, Qi Zhou, Wannapon Suraworachet, Sahan Bulathwela, Andrea Gauthier, Eva Millan, Mutlu Cukurova. (12/2025). arXiv. https://arxiv.org/abs/2512.08596v1
Exploring ChatGPT's Capabilities, Stability, Potential And Risks In Conducting Psychological Counseling Through Simulations In School Counseling

Yang Ni, Yanzhuo Cao. (12/2025). arXiv. https://arxiv.org/abs/2511.01788v2
Homogenizing effect of large language models (LLMs) on creative diversity: An empirical comparison of human and ChatGPT writing

Kibum Moon, Adam E. Green, Kostadin Kushlev. (12/2025). Computers in Human Behavior: Artifical Humans. https://www.sciencedirect.com/science/article/pii/S294988212500091X
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

Rose Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dorottya Demszky. (11/2025). EdWorkingPapers. https://edworkingpapers.com/ai24-1054
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation

Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Writing With Machines And Peers: Designing For Critical Engagement With Generative Ai

Xinran Zhu, Cong Wang, Duane Searsmith. (11/2025). arXiv. https://arxiv.org/abs/2511.15750v1
Llm Targeted Underperformance Disproportionately Impacts Vulnerable Users

Elinor Poole-Dayan, Deb Roy, Jad Kabbara. (11/2025). arXiv. https://arxiv.org/abs/2406.17737v2
Examining Student And Ai Generated Personalized Analogies In Introductory Physics

Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (11/2025). arXiv. https://arxiv.org/abs/2511.04290v1
Scaffolding Metacognition In Programming Education: Understanding Student-Ai Interactions And Design Implications

Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Yinjie Xie, Chenghao Gu, Atushi Shimada, Shin'ichi Konomi. (11/2025). arXiv. https://arxiv.org/abs/2511.04144v1
Evaluating Ai-Powered Learning Assistants In Engineering Higher Education: Student Engagement, Ethical Challenges, And Policy Implications

Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir. (10/2025). arXiv. https://arxiv.org/abs/2506.05699v2
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models For Educational Text Classification

Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gašević, Zhi Liu. (10/2025). arXiv. http://arxiv.org/abs/2406.00954v2
Towards Ai Agents For Course Instruction In Higher Education: Early Experiences From The Field

Yogesh Simmhan, Varad Kulkarni. (10/2025). arXiv. http://arxiv.org/abs/2510.20255v1
Designing Knowledge Tools: How Students Transition From Using To Creating Generative Ai In Steam Classroom

Qian Huang, Nachamma Sockalingam, Thijs Willems, King Wang Poon. (10/2025). arXiv. http://arxiv.org/abs/2510.19405v1
Evaluating Nlp Embedding Models For Handling Science-Specific Symbolic Expressions In Student Texts

Tom Bleckmann, Paul Tschisgale. (10/2025). arXiv. http://arxiv.org/abs/2505.17950v2
A Justice Lens On Fairness And Ethics Courses In Computing Education: Llm-Assisted Multi-Perspective And Thematic Evaluation

Kenya S. Andrews, Deborah Dormah Kanubala, Kehinde Aruleba, Francisco Enrique Vicente Castro, Renata A Revelo. (10/2025). arXiv. http://arxiv.org/abs/2510.18931v1
Towards Mining Effective Pedagogical Strategies From Learner-Llm Educational Dialogues

Liqun He, Manolis Mavrikis, Mutlu Cukurova. (10/2025). arXiv. http://arxiv.org/abs/2510.17698v1
Ai-Generated Essays: Characteristics And Implications On Automated Scoring And Academic Integrity

Yang Zhong, Jiangang Hao, Michael Fauss, Chen Li, Yuan Wang. (10/2025). arXiv. http://arxiv.org/abs/2410.17439v4
Ensembling Large Language Models To Characterize Affective Dynamics In Student-Ai Tutor Dialogues

Chenyu Zhang, Sharifa Alghowinem, Cynthia Breazeal. (10/2025). arXiv. http://arxiv.org/abs/2510.13862v1
Student-Ai Interaction In An Llm-Empowered Learning Environment: A Cluster Analysis Of Engagement Profiles

Zhanxin Hao, Jianxiao Jiang, Jifan Yu, Zhiyuan Liu, Yu Zhang. (10/2025). arXiv. http://arxiv.org/abs/2503.01694v3
Ai In Computational Thinking Education In Higher Education: A Systematic Literature Review

Ebrahim Rahimi, Clara Maathuis. (10/2025). arXiv. http://arxiv.org/abs/2510.09677v1
Chrysalis: A Unified System For Comparing Active Teaching And Passive Learning With Ai Agents In Education

Prashanth Arun, Vinita Vader, Erya Xu, Brent McCready-Branch, Sarah Seabrook, Kyle Scholz, Ana Crisan, Igor Grossmann, Pascal Poupart. (10/2025). arXiv. http://arxiv.org/abs/2510.05271v1
Beyond The Benefits: A Systematic Review Of The Harms And Consequences Of Generative Ai In Computing Education

Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil. (10/2025). arXiv. http://arxiv.org/abs/2510.04443v1
Discovering Self-Regulated Learning Patterns In Chatbot-Powered Education Environment

Yilin Lyu, Ren Ding. (09/2025). arXiv. http://arxiv.org/abs/2510.01275v1
AI Ethics Education in India: A Syllabus-Level Review of Computing Courses

Anshu M Mittal, PD Parthasarathy, Swaroop Joshi. (09/2025). arXiv. http://arxiv.org/pdf/2509.22329v1
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants' Question-Answering in Asynchronous Learning Environments

Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu. (09/2025). arXiv. http://arxiv.org/pdf/2509.17961v1
Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation

Xiaoming Zhai. (09/2025). arXiv. http://arxiv.org/pdf/2509.14554v1
AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant

Fadjimata Issoufou Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1