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VerAs: Verify Then Assess STEM Lab Reports
With an increasing focus in STEM education on critical thinking skills, science writing plays an ever more important role. A recently published...
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How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
Large Language Models (LLMs) now excel at generative skills and can create content at impeccable speeds. However, they are imperfect and still make...
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Automated Long Answer Grading with RiceChem Dataset
This research paper introduces a new area of study in the field of educational Natural Language Processing (NLP): Automated Long Answer Grading...
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Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations
Interactive simulations play a significant role in science education, serving as a platform for inquiry-based learning and fostering the development...
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On Cultural Intelligence in LLM-Based Chatbots: Implications for Artificial Intelligence in Education
A large body of research has highlighted the impact of culture on cognitive, affective and motivational phenomena associated with education and the...
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Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction
In the landscape of educational analytics, the usage of Machine Learning (ML), Deep Learning (DL), and Survival Analysis (SA), for student dropout...
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ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development
In qualitative data analysis, codebooks offer a systematic framework for establishing shared interpretations of themes and patterns. While the...
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A Multi-task Automated Assessment System for Essay Scoring
Most existing automated assessment (AA) systems focus on holistic scoring, falling short in providing learners with comprehensive feedback. In this...
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Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning
**aomai is an intelligent tutoring system (ITS) designed to help Chinese college students in learning advanced mathematics and preparing for the...
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Fairness of MOOC Completion Predictions Across Demographics and Contextual Variables
While machine learning (ML) has been extensively used in Massive Open Online Courses (MOOCs) to predict whether learners are at risk of drop**-out...
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PBChat: Enhance Student’s Problem Behavior Diagnosis with Large Language Model
Student’s problem behaviors are undesirable behaviors encompass actions that deviate from established school standards, potentially impacting...
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Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning
An advantage of Large Language Models (LLMs) is their contextualization capability – providing different responses based on student inputs like...
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Global Trends in Scientific Debates on Trustworthy and Ethical Artificial Intelligence and Education
This paper presents a systematic review of the scientific literature on trustworthy and ethical Artificial Intelligence (AI) and Education (AI&ED),...
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Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting
In this paper, we utilize the understanding and generative abilities of large language models (LLMs) to automatically produce customized lesson...
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LANSE: A Cloud-Powered Learning Analytics Platform for the Automated Identification of Students at Risk in Learning Management Systems
This article introduces LANSE, an innovative Learning Analytics tool tailored for Learning Management Systems, with the primary goal of identifying...
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Neural Automated Essay Scoring for Improved Confidence Estimation and Score Prediction Through Integrated Classification and Regression
Essay writing questions are a type of constructed-response question commonly used in educational assessments. However, substantial scoring costs and...
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Leveraging Language Models and Audio-Driven Dynamic Facial Motion Synthesis: A New Paradigm in AI-Driven Interview Training
The paper introduces an innovative conversational AI chatbot equipped with a visual avatar, specifically tailored for enhancing skills for nursing...
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The Impact of Example Selection in Few-Shot Prompting on Automated Essay Scoring Using GPT Models
This study investigates the impact of example selection on the performance of automated essay scoring (AES) using few-shot prompting with GPT models....
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Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches
Assessing the interdisciplinary learning quality of student learning processes is significant but complex. While some research has experimented with...
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Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments
This study proposes a method for knowledge distillation (KD) of fine-tuned Large Language Models (LLMs) into smaller, more efficient, and accurate...