The recent advancements in AI and large language models (LLMs) are significantly reshaping the educational landscape, with a particular focus on personalized learning and mental health support. The integration of AI tools, such as generative AI and chatbots, is not only enhancing the efficiency of educational processes but also addressing critical issues such as student churn, mental health, and personalized learning strategies. Notably, the use of LLMs in delivering Cognitive Behavioral Therapy (CBT) for depression and supporting behavior change through personalized chatbots is gaining traction. These innovations are addressing the limitations of traditional therapy by providing scalable, cost-effective, and accessible solutions. Additionally, the exploration of AI in reflective learning and the enhancement of student well-being through tailored digital tools are advancing the field. The ethical considerations and technical challenges associated with these developments are also being actively discussed and addressed, ensuring that the integration of AI in education is both effective and responsible. The noteworthy papers in this area include 'Fine Tuning Large Language Models to Deliver CBT for Depression,' which demonstrates the feasibility of using fine-tuned LLMs for therapeutic purposes, and 'Habit Coach: Customising RAG-based chatbots to support behavior change,' which highlights the potential of personalized chatbots in supporting habit formation and behavior change.
AI-Driven Innovations in Education and Mental Health
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Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students
Habit Coach: Customising RAG-based chatbots to support behavior change
Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks
Fine Tuning Large Language Models to Deliver CBT for Depression
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots
The Impact of Generative AI on Student Churn and the Future of Formal Education
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
Does chat change LLM's mind? Impact of Conversation on Psychological States of LLMs
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models
If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Leveraging User Experience and Learning Analytics for Enhanced Student Well-being
Generative AI as a Tool for Enhancing Reflective Learning in Students
Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process
Exploring the Role of AI-Powered Chatbots for Teens and Young Adults with ASD or Social Anxiety
A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction
Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models