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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.... -
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... -
Promoting Visual Health and Inclusive Education in Metaverse Learning Environments
With the rapid advancement of digital technology, online learning has become increasingly popular. However, extended screen time has raised concerns... -
The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms
Since GPT-4’s release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand... -
Role of Ethical and Responsible AI in Education for Next Generation Inventors
The integration of Artificial Intelligence (AI) in education holds transformative potential and requires careful ethical navigation. This paper... -
AfricAIED 2024: 2nd Workshop on Artificial Intelligence in Education in Africa
Recent AI advancements offer transformative potential for global education, yet their application often overlooks Africa’s unique educational... -
Towards Human-Like Educational Question Generation with Small Language Models
With the advent of Generative AI models, the automatic generation of educational questions plays a key role in develo** online education. This work... -
ChatGPT-Based Virtual Standardized Patient that Amends Overly Detailed Responses in Objective Structured Clinical Examinations
Objective structured clinical examinations (OSCEs) are a standardized examination for assessing medical and dental students. OSCEs involve a medical... -
Large Language Models for Career Readiness Prediction
Large Language Models (LLMs) have recently achieved state-of-the-art performance on many benchmark Natural Language Processing (NLP) tasks. In this... -
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student... -
Enhancing Algorithmic Fairness in Student Performance Prediction Through Unbiased and Equitable Machine Learning Models
The rapid adoption of ML algorithms has spurred the development of educational applications aimed at enhancing teaching and learning experiences.... -
An Intelligent System for Chinese Dance Creation Using Generative Artificial Intelligence
We present an innovative and practical system for creating Chinese dance using generative artificial intelligence techniques. A full-attention...