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This book constitutes the proceedings of the First International Workshop on AI in Education and Educational Research, AIEER 2024, held in Santiago de Compostela, Spain, during October 19 20, 2024.
The 16 full papers presented in this volumes were carefully reviewed and selected from 23 submissions. They focus on various aspects on AI applications in educational settings, particularly emphasizing the integration of Large Language Models (LLMs) and explainable AI (XAI).
List of contents
.- Using Explainable AI for Robustness Checks in Requirement Level Classification for German Online Job Advertisements.
.- Enhancing Critical Thinking in Education by means of a Socratic Chatbot.
.- Sentiment Analysis for Academic Interest.
.- The Interactive Career Atlas - an AI-based Web Application for Informed Career Decisions.
.- Advancing Student Writing Through Automated Syntax Feedback.
.- Phrase-Level Adversarial Data Generation for Bias Mitigation in Automatic Essay Scoring.
.- Automated Essay Scoring with ChatGPT.
.- More than a Technical Fix: An Interdisciplinary Approach to AI in Education.
.- To Accept or Not to Accept? An IRT-TOE Framework to Understand Educators Resistance to Generative AI in Higher Education.
.- Potential of GPT-4o in Learning Analytics: A Comparative Study with Moodle Logs Analytics.
.- AI for Vocational Education and Training Overview of Developments, Foci, and Gaps within 34 German Funding Projects.
.- VET Teacher Training for AI in Specific Sectors in Spain.
.- Personalized Learning of Programming Fundamentals through Robotic Simulations.
.- Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course.
.- A Computerized Adaptive Competency-based Placement Test to Determine the Optimal Entry Point in Online Courses.
Summary
This book constitutes the proceedings of the First International Workshop on AI in Education and Educational Research, AIEER 2024, held in Santiago de Compostela, Spain, during October 19–20, 2024.
The 16 full papers presented in this volumes were carefully reviewed and selected from 23 submissions. They focus on various aspects on AI applications in educational settings, particularly emphasizing the integration of Large Language Models (LLMs) and explainable AI (XAI).
