Cover Image

Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	MacLellan, Christopher James, Stowers, Kimberly, Brady, Lisa
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computers and Society Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model Human Learners: Computational Models to Guide Instructional Design
by: MacLellan, Christopher J.
Published: (2025)

Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors
by: Smith, Glen, et al.
Published: (2024)

Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
by: Gupta, Adit, et al.
Published: (2024)

Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact
by: Gupta, Adit, et al.
Published: (2025)

VAL: Interactive Task Learning with GPT Dialog Parsing
by: Lawley, Lane, et al.
Published: (2023)

Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces
by: Calo, Tommaso, et al.
Published: (2024)

Beyond Final Answers: Evaluating Large Language Models for Math Tutoring
by: Gupta, Adit, et al.
Published: (2025)

HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
by: Siddiqui, Momin N., et al.
Published: (2024)

Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
by: Sajja, Ramteja, et al.
Published: (2023)

Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study
by: Zhou, Jieyu, et al.
Published: (2024)

Evaluating Contextually Personalized Programming Exercises Created with Generative AI
by: Logacheva, Evanfiya, 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)

Irrelevant Alternatives Bias Large Language Model Hiring Decisions
by: Valkanova, Kremena, 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)

Studying the Effects of Robot Intervention on School Shooters in Virtual Reality
by: McClurg, Christopher A, et al.
Published: (2025)

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

The Robots are Here: Navigating the Generative AI Revolution in Computing Education
by: Prather, James, et al.
Published: (2023)

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

Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials
by: Komar, Alexander, et al.
Published: (2025)

Effectiveness of Large Language Models in Simulating Regional Psychological Structures: An Empirical Examination of Personality and Subjective Well-being
by: Luoma, Ke, et al.
Published: (2025)

"All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities
by: Hou, Irene, et al.
Published: (2025)

Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives
by: Drożdż, Karolina, et al.
Published: (2025)

Deco: Extending Personal Physical Objects into Pervasive AI Companion through a Dual-Embodiment Framework
by: Jiang, Zhihan, et al.
Published: (2026)

Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
by: Dasgupta, Arpan, et al.
Published: (2024)

New AI-Driven Tools for Enhancing Campus Well-being: A Prevention and Intervention Approach
by: Tang, Jinwen
Published: (2026)

Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
by: Bahel, Vedant, et al.
Published: (2024)

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment
by: Konya, Andrew, et al.
Published: (2024)

Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations
by: Wei, Kevin L., et al.
Published: (2025)

When Models Disagree: Rethinking LLM Evaluation for Public Comment Analysis
by: Najera, Aisha, et al.
Published: (2026)

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses
by: Liu, Chang, et al.
Published: (2025)

Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
by: Besanson, Gaston, et al.
Published: (2026)

From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children
by: Lee, Changjae, et al.
Published: (2024)

A Principle-based Framework for the Development and Evaluation of Large Language Models for Health and Wellness
by: Winslow, Brent, et al.
Published: (2025)

Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
by: Scaria, Nicy, et al.
Published: (2026)

Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory
by: Lee, Eunhae
Published: (2024)

From Coordination to Personalization: A Trust-Aware Simulation Framework for Emergency Department Decision Support
by: Lygizou, Zoi, et al.
Published: (2025)

Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System
by: Ain, Qurat Ul, et al.
Published: (2026)

Evaluating AI-Powered Learning Assistants in Engineering Higher Education: Student Engagement, Ethical Challenges, and Policy Implications
by: Sajja, Ramteja, et al.
Published: (2025)

Learning Personalized Decision Support Policies
by: Bhatt, Umang, et al.
Published: (2023)

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors
by: Kakarla, Sanjit, et al.
Published: (2024)