Cover Image

Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Musabirov, Ilya, Zavaleta-Bernuy, Angela, Chen, Pan, Liut, Michael, Williams, Joseph Jay
Format:	Preprint
Published:	2023
Subjects:	Human-Computer Interaction Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
by: Kumar, Harsh, et al.
Published: (2023)

From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews
by: Ye, Runlong, et al.
Published: (2026)

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries
by: Kumar, Harsh, et al.
Published: (2024)

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
by: Reza, Mohi, et al.
Published: (2023)

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
by: Xiao, Ruiwei, et al.
Published: (2025)

Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
by: Kumar, Harsh, et al.
Published: (2024)

A Comparative Study of Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics
by: Liu, Suqing, et al.
Published: (2025)

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
by: Kumar, Harsh, et al.
Published: (2023)

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
by: Ye, Runlong, et al.
Published: (2025)

From Code to Concept: Evaluating Multiple Coordinated Views in Introductory Programming
by: Sibia, Naaz, et al.
Published: (2025)

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
by: Zhang, Yingjie, et al.
Published: (2026)

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
by: Hou, Xinying, et al.
Published: (2025)

Automated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models
by: Gürtl, Sebastian, et al.
Published: (2025)

Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study
by: Bhattacharjee, Ananya, et al.
Published: (2026)

TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents
by: Zhang, Zijian, et al.
Published: (2026)

Iris: An AI-Driven Virtual Tutor For Computer Science Education
by: Bassner, Patrick, et al.
Published: (2024)

Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course
by: Xiao, Ruiwei, et al.
Published: (2026)

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
by: Zhang, Zijian, et al.
Published: (2025)

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation
by: Ye, Runlong, et al.
Published: (2026)

Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist
by: Gemalmaz, Meric Altug, et al.
Published: (2024)

From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
by: Reihanian, Iman, et al.
Published: (2025)

Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models
by: Ortiz, Franco, et al.
Published: (2026)

TRACE: AI-Assisted Assessment of Collaborative Projects in Computer Science Education
by: Yu, Songmei, et al.
Published: (2025)

CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
by: Feng, Ty, et al.
Published: (2024)

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments
by: Chen, Jiaju, et al.
Published: (2026)

Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
by: Hofer, Dominik P., et al.
Published: (2026)

Overseeing Agents Without Constant Oversight: Challenges and Opportunities
by: Grunde-McLaughlin, Madeleine, et al.
Published: (2026)

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
by: Yang, Xinming, et al.
Published: (2025)

Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
by: Seßler, Kathrin, et al.
Published: (2025)

ChatGPT in Classrooms: Transforming Challenges into Opportunities in Education
by: Munawar, Harris Bin, et al.
Published: (2024)

Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
by: Sajja, Ramteja, et al.
Published: (2024)

Designing an Adaptive Storytelling Platform to Promote Civic Education in Politically Polarized Learning Environments
by: Wegemer, Christopher M., et al.
Published: (2025)

LLM-Assisted Visual Analytics: Opportunities and Challenges
by: Hutchinson, Maeve, et al.
Published: (2024)

Challenges & Opportunities with LLM-Assisted Visualization Retargeting
by: Snyder, Luke S., et al.
Published: (2025)

Exploring the Innovation Opportunities for Pre-trained Models
by: Park, Minjung, et al.
Published: (2025)

The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity
by: Ye, Runlong, et al.
Published: (2025)

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science
by: Shanmugarasa, Yashothara, et al.
Published: (2025)

"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
by: Joshi, Ishika, et al.
Published: (2023)

WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?
by: Septiandri, Ali Akbar, et al.
Published: (2024)

From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI
by: Vossler, Patrick, et al.
Published: (2026)