Vincent Aleven
Professor
Studies intelligent tutoring systems and AI in education, including tools for authoring adaptive learning.
Vincent Aleven's lab at CMU works on learning & education technology, interfaces & interaction techniques and language & society. 50 papers since 2023, 1 at top venues, mostly CHI. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 2%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 12 papers2026 · T1 0 · collecting
- 18 papers2025 · T1 0
- 9 papers2024 · T1 0
- 11 papers2023 · T1 1
T1 venuesOtherVenues: CHI
Research focuspaper titles that use each topic's words
- Learning & education technology23 papers
- tutoring systems5 papers
- Language & society2 papers
- Interfaces & interaction techniques0 papers
- adaptive learning0 papers
Paper list
From DBLP.
202612 papers
- EC-TEL"Maybe They Needed Help, but They Weren't Asking for It": Teachers' Decision Making in AI-Supported Mixed Reality Classroom Orchestration (opens in a new tab)
- L@SCoasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork (opens in a new tab)
- J. Comput. Assist. Learn.Comparing Dynamic Versus Pre-Planned Combinations of Individual and Collaborative Learning in a Classroom Experiment (opens in a new tab)
- AIEDCross-Subject Predictive Validity for Learning Outcomes of Delayed Start Behavior (opens in a new tab)
- AIEDEvaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems (opens in a new tab)
- IEEE Trans. Learn. Technol.Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios Through Data Augmentation (opens in a new tab)
- EC-TELMapping Teacher Agentic Properties to Orchestration Activities in AI-Augmented Classrooms (opens in a new tab)
- EC-TELSelf-efficacy and Favorability Shape Learning from Tutoring Systems and Paper Practice (opens in a new tab)
- LAKSticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms (opens in a new tab)
- EC-TELSupporting Teacher Reflection with Multimodal Learning Analytics: An Exploratory Classroom Study with Reflecto (opens in a new tab)
- AIEDUsing an MR-Based Teacher Orchestration Tool in AI-Supported K-12 Classrooms (opens in a new tab)
- EC-TELWhom to Help Next? Teachers' Self-Reported Real-Time Decisions in Analytics-Informed Classrooms (opens in a new tab)
202518 papers
- EC-TEChallenges and Design Opportunities for AI-Based Tutoring and Assessment Software in Special Education: An Interview Study with Teachers (opens in a new tab)
- LAKCombining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support (opens in a new tab)
- AIEDEngagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring (opens in a new tab)
- EC-TELError Classification in Stoichiometry Tutoring Systems with Different Levels of Scaffolding: Comparing Rule-Based Classification and Machine Learning (opens in a new tab)
- EC-TEGoal Setting Engages More Caregivers in Online Math Homework than Instructional Support (opens in a new tab)
- Comput. Educ.High scaffolding of an unfamiliar strategy improves conceptual learning but reduces enjoyment compared to low scaffolding and strategy freedom (opens in a new tab)
- Int. J. Artif. Intell. Educ.How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses (opens in a new tab)
- EC-TELHow Expertise Levels Shape Preferences and Reflection Needs: Towards AI Reflection Systems for Teacher Empowerment (opens in a new tab)
- LAKHow Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice (opens in a new tab)
- AIEDHuman Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes (opens in a new tab)
- AIED CompanionIntelligent Support for Practice Goal Setting to Enhance Learning (opens in a new tab)
- AIEDInvolving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study (opens in a new tab)
20249 papers
- EDMCombining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? (opens in a new tab)
- EC-TELCurio: Enhancing STEM Online Video Learning Experience Through Integrated, Just-in-Time Help-Seeking (opens in a new tab)
- Br. J. Educ. Technol.How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process (opens in a new tab)
- LAKImproving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation (opens in a new tab)
- EC-TELLeveraging Multimodal Classroom Data for Teacher Reflection: Teachers' Preferences, Practices, and Privacy Considerations (opens in a new tab)
- LAKRevealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis (opens in a new tab)
- AIEDThe Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities (opens in a new tab)
- EDMUsing Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols (opens in a new tab)
- LAKUsing Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems (opens in a new tab)
202311 papers
- AIEDA Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom (opens in a new tab)
- Human-AI Math Tutoring@AIEDComparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students (opens in a new tab)
- iTextbooks@AIEDCurio: An On-Demand Help-Seeking System on iTextbooks for Accelerating Research on Educational Recommendation Algorithms (opens in a new tab)
- IEEE Trans. Learn. Technol.Designing Hybrid Human-AI Orchestration Tools for Individual and Collaborative Activities: A Technology Probe Study (opens in a new tab)
- AIEDInvolving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study (opens in a new tab)
- EC-TELMultimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints (opens in a new tab)
- EDMOptimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts (opens in a new tab)
- CHI (T1)Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom (opens in a new tab)
- AIEDTowards the Future of AI-Augmented Human Tutoring in Math Learning (opens in a new tab)
- User Model. User Adapt. Interact.Using latent variable models to make gaming-the-system detection robust to context variations (opens in a new tab)
- EC-TELWhat Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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