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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... -
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... -
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... -
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... -
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... -
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),... -
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... -
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... -
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... -
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... -
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.... -
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... -
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... -
MOOCRev: A Large-Scale Data Repository for Course Reviews
Massive Open Online Courses (MOOCs) have revolutionised the landscape of education, generating unprecedented arrays of diverse data about, from and... -
A Web Application for a Cost-Effective Fine-Tuning of Open-Source LLMs in Education
Many Generative Artificial Intelligence (GenAI) applications built on Large Language Models (LLMs) emerged in 2023 causing a great impact in the... -
From “Giving a Fish” to “Teaching to Fish”: Enhancing ITS Inner Loops with Large Language Models
In this work, we aim to enhance the Intelligent Tutoring Systems (ITS) inner loop by incorporating Large Language Models (LLMs), shifting the... -
System Dynamics Through Qualitative Modeling in DynaLearn: Results from Research Conducted in a Brazilian High School Context
In this paper, we present the results of research aimed at demonstrating that high school students are capable of understanding complex phenomena... -
Predicting the Structural Parts of the Plot on Elementary School Written Essays
Essay writing is an essential task throughout all life stages. In the final years of elementary education, classes are dedicated to narrative text... -
Culturally Relevant Artificial Intelligence Education with Music for Secondary School Students
Artificial Intelligence (AI) has increasingly gained attention in recent years, and with it, the need to involve youth in responsible uses the... -
The Learning Observer: A Prototype System for the Integration of Learning Data
In this tutorial workshop, we will introduce The Learning Observer. This is a project whose goal is to set up an open, transparently-governed...