Vincent Aleven
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View article: Reflecto: A Teacher Reflection Tool Leveraging Multimodal Learning and Teaching Analytics
Reflecto: A Teacher Reflection Tool Leveraging Multimodal Learning and Teaching Analytics Open
Prior research has found that teacher reflection is important for both teachers’ professional development and students’ learning, but frequent, effective reflection faces many obstacles. Could an analytics-based reflection tool help addres…
View article: Error Classification in Stoichiometry Tutoring Systems with Different Levels of Scaffolding: Comparing Rule-Based Classification and Machine Learning
Error Classification in Stoichiometry Tutoring Systems with Different Levels of Scaffolding: Comparing Rule-Based Classification and Machine Learning Open
Comparing rule-based and machine learning (ML) approaches to error classification is crucial for advancing adaptive instruction. However, few studies have examined their comparative accuracy for tutoring systems with different levels of sc…
View article: Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning
Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning Open
Gamification can enhance learning with technology, but can too much gamification diminish learning? Both (1) playful problem-solving interactions and (2) narrative elements outside of practice can enhance playfulness. However, prior resear…
View article: Goal Setting Engages More Caregivers in Online Math Homework Than Instructional Support
Goal Setting Engages More Caregivers in Online Math Homework Than Instructional Support Open
Parent and caregiver involvement in homework can be critical to student success, yet many families face barriers such as limited time and content knowledge. We examine two approaches to involving caregivers in homework that students comple…
View article: Starting Seatwork Earlier as a Valid Measure of Student Engagement
Starting Seatwork Earlier as a Valid Measure of Student Engagement Open
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend th…
View article: How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice
How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice Open
Personalized problem selection enhances student practice in tutoring systems.\nPrior research has focused on transparent problem selection that supports\nlearner control but rarely engages learners in selecting practice materials. We\nexpl…
View article: Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support Open
Caregivers (i.e., parents and members of a child's caring community) are\nunderappreciated stakeholders in learning analytics. Although caregiver\ninvolvement can enhance student academic outcomes, many obstacles hinder\ninvolvement, most …
View article: An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop Open
Intelligent tutoring systems (ITSs) are effective in helping students learn; further research could make them even more effective. Particularly desirable is research into how students learn with these systems, how these systems best suppor…
View article: Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation Open
Tutoring is an effective instructional method for enhancing student learning, yet its success relies on the skill and experience of the tutors. This reliance presents challenges for the widespread implementation of tutoring, particularly i…
View article: Problem-Solving Strategies in Stoichiometry Across Two Intelligent Tutoring Systems: A Cross-National Study
Problem-Solving Strategies in Stoichiometry Across Two Intelligent Tutoring Systems: A Cross-National Study Open
Intelligent tutoring system (ITS) provides learners with step-by-step problem-solving support through scaffolding. Most ITSs have been developed in the USA and incorporate American instructional strategies. How do non-American students per…
View article: TRESTLE: A Model of Concept Formation in Structured Domains
TRESTLE: A Model of Concept Formation in Structured Domains Open
The literature on concept formation has demonstrated that humans are capable of learning concepts incrementally, with a variety of attribute types, and in both supervised and unsupervised settings. Many models of concept formation focus on…
View article: How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses Open
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge, often necessitating the training of novice tutors (i.e., t…
View article: Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? Open
Peer tutoring can improve learning by prompting learners to reflect. To assess whether peer interactions are conducive to learning and provide peer tutoring support accordingly, what tutorial dialog types relate to student learning most? A…
View article: Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols Open
Think-aloud protocols are a common method to study self-regulated learning (SRL) during learning by problem-solving. Previous studies have manually transcribed and coded students' verbalizations, labeling the presence or absence of SRL str…
View article: How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses Open
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge, often necessitating the training of novice tutors (i.e., t…
View article: The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities Open
Incorporating human tutoring with AI holds promise for supporting diverse math learners. In the U.S., approximately 15% of students receive special education services, with limited previous research within AIED on the impact of AI-assisted…
View article: Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation Open
Artificial intelligence (AI) applications to support human tutoring have\npotential to significantly improve learning outcomes, but engagement issues\npersist, especially among students from low-income backgrounds. We introduce an\nAI-assi…
View article: Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems Open
Numerous studies demonstrate the importance of self-regulation during\nlearning by problem-solving. Recent work in learning analytics has largely\nexamined students' use of SRL concerning overall learning gains. Limited\nresearch has relat…
View article: Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis Open
Learning analytics research increasingly studies classroom learning with\nAI-based systems through rich contextual data from outside these systems,\nespecially student-teacher interactions. One key challenge in leveraging such\ndata is gen…
View article: Designing to Disrupt While Encountering Disruption: Engaging With the Unexpected in Educational Research and Practice
Designing to Disrupt While Encountering Disruption: Engaging With the Unexpected in Educational Research and Practice Open
This symposium brings together eleven projects across three continents to examine notions of disruption in educational research.Historically, notions of disruption have pointed to the ways research leverages innovation and transformative p…
View article: Teacher Noticing and Student Learning in Human-AI Partnered Classrooms: A Multimodal Analysis
Teacher Noticing and Student Learning in Human-AI Partnered Classrooms: A Multimodal Analysis Open
Past research shows that teacher noticing matters for student learning, but little is known about the effects of AI-based tools designed to augment teachers' attention and sensemaking.In this paper, we investigate three multimodal measures…
View article: Promoting Students’ Self-Regulated Learning Choices with Diagrams in Intelligent Tutoring Software
Promoting Students’ Self-Regulated Learning Choices with Diagrams in Intelligent Tutoring Software Open
Although students' self-regulated learning has been studied extensively, past research has not investigated students' fine-grained, self-regulated choice-making processes during learning with visual representations and strategies to suppor…
View article: How teachers conceptualise shared control with an <scp>AI</scp> co‐orchestration tool: A multiyear teacher‐centred design process
How teachers conceptualise shared control with an <span>AI</span> co‐orchestration tool: A multiyear teacher‐centred design process Open
Artificial intelligence (AI) can enhance teachers' capabilities by sharing control over different parts of learning activities. This is especially true for complex learning activities, such as dynamic learning transitions where students mo…
View article: Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts Open
Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop a…
View article: Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues Open
Research suggests that providing specific and timely feedback to human tutors enhances their performance. However, it presents challenges due to the time-consuming nature of assessing tutor performance by human evaluators. Large language m…