Learning at scale; algorithmic fairness and equity in digital education
NSF CAREER Award; multiple Best Paper awards; General Chair ACM L@S 2022
Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
Best Paper EDM 2013; Best Student Paper AIED 2009; Cognition and Student Learning Prize CogSci 2008
Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Multiple Best Paper awards in cognitive psychology, ITS, and EDM; co-founded Carnegie Learning Inc.
Learning analytics; co-founder of LAK conference and Society for Learning Analytics Research
Founding President, Society for Learning Analytics Research (2015–2017); founding program co-chair LAK...
ASSISTments intelligent tutoring platform; educational data mining at scale
William Smith Dean's Professor (endowed chair at WPI)
AI and machine learning for science education assessment; automated scoring; GenAI in STEM
NAEd/Spencer Postdoctoral Award; AERA TACTL Early Career Award; Humboldt Fellowship; PI of $10M IES...
Educational data mining; BROMP observational protocol; student disengagement detection
Founding President, International Educational Data Mining Society (IEDMS); founded world's first Masters...
Multimodal learning analytics, human-AI interaction in education, ethics of AI in education
Co-author of UNESCO generative AI guidance; Editor, British Journal of Educational Technology
Founder of OpenStax open educational resources; open education movement; signal processing and compressive sensing
Harold W. McGraw Prize in Education (2021); National Academy of Engineering; American Academy of Arts and...
Intelligent tutoring systems, gamification, AIED for under-resourced contexts (AIED Unplugged), education policy
President of the International AIED Society; impact on Brazil's national K-12 CS curriculum
Data-driven hint generation; intelligent tutoring systems; broadening participation in computing
NSF CAREER Award; ACM Distinguished Member (2020); Distinguished Professor title (NCSU)
Creator of Jill Watson, the first AI teaching assistant deployed at scale; cognitive systems, case-based reasoning, AI in education; directs Georgia Tech Design Intelligence Lab and the NSF AI-ALOE Institute
AAAI Fellow (2021); AAAI Outstanding AI Educator Award (2019); AAAI Distinguished Service Award (2024);...
Narrative-centered learning environments; game-based learning; NSF AI Institute for Engaged Learning
NSF CAREER Award; Goodnight Distinguished University Professor; Alexander Quarles Holladay Medal (NC State...
Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Multiple Best Paper awards in cognitive psychology, ITS, and EDM; co-founded Carnegie Learning Inc.
Multimodal learning analytics, human-centred AI in education, teamwork analytics in physical learning spaces
Jacobs Foundation Research Fellow; LAK 2022 and AIED 2020 Best Paper awards; LAK 2022 Program Chair
Affective computing; affect and engagement detection in intelligent learning environments; mind-wandering during learning
Intelligent tutoring systems, Decimal Point learning game, erroneous examples, collaborative learning
Past President of the International AIED Society (2017-2019); numerous best-paper awards (AIED 2018, EC-TEL...
NLP-based intelligent tutoring (iSTART, Writing Pal, Coh-Metrix), text comprehension and writing research, learning engineering
Member, National Academy of Education; 2026 ASU Regents Professor; Fellow of APS, AERA, Cognitive Science...
Project-based learning in K-12 science education, NGSS writing team leader, learning progressions, educative curriculum materials
National Academy of Education; McGraw Prize in Pre-K-12 Education (2020); AERA Fellow; AAAS Fellow;...
Learning analytics design frameworks; discourse analysis; responsible/subversive learning analytics
Founding the Open Learning Initiative (OLI) at CMU (2002); applying learning sciences to open adaptive learning; MOOCs and large-scale online learning; Director of Learning Science at Amazon; Associate Professor at Stanford GSE
Trustee of Educational Testing Service (ETS); advisory roles at NSF and the Association of American...
Adaptive assessments, Bayesian student modeling, open student models, game-based and conversation-based assessment, evidence-centered design; Distinguished Presidential Appointee at ETS Research Institute
Elected member, AIED Society Executive Committee (2022-2027); IEEE Education Society Distinguished Lecturer...
Creator of Betty's Brain (learning-by-teaching AI system), open-ended learning environments for K-12 STEM, educational data mining, metacognitive scaffolding; Cornelius Vanderbilt Professor of Engineering
IEEE Fellow (2014); EDM 2023 Test of Time Award; Best Paper at EDM 2012; multiple best paper/student paper...
Collaborative learning; SimCalc mathematics technology; learning sciences and technology in K-12
Graph neural networks; deep learning on graphs; data mining; educational data mining; knowledge tracing
NSF CAREER Award; ACM SIGKDD Rising Star; 2022 SIAM/IBM Early Career Research Award; 2021 IEEE ICDM Tao Li...
Executive Director of MIT Teaching Systems Lab; author of 'Failure to Disrupt'; large-scale MOOC research (HarvardX/MITx); learning analytics; teacher preparation and tech policy
Adaptive hypermedia; personalized e-learning; user modeling; PAWS lab at University of Pittsburgh
33,000+ Google Scholar citations; h-index 77 (as of 2018); ranked #1 worldwide in computer education...
Intelligent tutoring systems; self-regulated learning; metacognition; ATLAS Lab at McGill
Canada Research Chair Tier 1 (Advanced Technologies for Learning in Authentic Settings); Fellow of the...
Intelligent tutoring systems; HCI in education; equity-focused and international ed-tech deployments
2024 SIGCHI Award for Societal Impact; MIT EECS Rising Star; Jacobs Early Career Fellowship
Information visualization, human-data interaction, data-driven storytelling, accessible data visualization
IEEE Visualization Academy (2020); IEEE VGTC Visualization Technical Achievement Award (2024); ACM...
Computational analysis of collaborative learning and dialogue; conversational AI for education; bridging NLP and learning sciences
AAAS Leshner Leadership Fellow; Past President, International Society of the Learning Sciences (2015)
Problem-based learning (PBL); computer-supported collaborative learning (CSCL); collaborative inquiry
Elected to the American Academy of Arts and Sciences (2023); AERA Fellow (2016)
Intelligent tutoring systems; user modeling; affective computing; explainable AI in education
10 Best Paper Awards across multiple venues; Test of Time Award 2022 (EDM Society)
Causal research on online learning effectiveness; equity gaps in community college student outcomes
NSF CAREER Award; National Academy of Education/Spencer Postdoctoral Fellowship; UCI Distinguished...
Reinforcement learning theory and algorithms for personalized education and healthcare
AAAI Fellow (2025); NSF CAREER Award; ONR Young Investigator Award; ICML 2023 co-chair
Logo (Apple II) and MIT App Inventor; computing education pioneer; co-founder of Creative Commons and FSF
ACM Karl V. Karlstrom Outstanding Educator Award; ACM SIGCSE Award for Outstanding Contribution to CS...
Pioneer of mobile/ubiquitous learning and learning analytics; SCROLL ubiquitous learning log system
Data visualization; visual analytics; explainable AI; educational data visualization
IEEE Fellow; IEEE VGTC Technical Achievement Award
ML/NLP for computational social science and well-being; co-founder of the World Well-Being Project
Technology and language learning; digital literacy; AI in education; Digital Learning Lab at UC Irvine
Member of the National Academy of Education; Fellow of AERA; Distinguished Professor (UC Irvine)
Item response theory; diagnostic classification models; large-scale international assessment (TIMSS, PIRLS, PISA)
NCME Brad Hanson Award (2012); AERA Division D Award (2017); National Academy of Education member
Creator of the SMOTE algorithm; machine learning, network science, and student-success prediction
Fellow of ACM, IEEE, AAAS, and AAAI; IEEE CIS Outstanding Early Career Award; IBM Watson Faculty Award
Educational psychology; large-scale assessment (PISA/TIMSS); academic self-concept and motivation (big-fish-little-pond effect)
Officer's Cross of the Order of Merit of the Federal Republic of Germany (2024); member of acatech...
CS education; creator of PeerWise (student-generated question platform); AI tools in CS education
ACM SIGCSE Test of Time Award (2024); ACM Distinguished Member; QS Reimagine Education Award (2019)
High-dimensional statistics, causal inference, statistical machine learning; lasso-based variable selection and stability selection
2024 Wald Memorial Lecture (IMS); 2018 Guy Medal in Silver (Royal Statistical Society); Honorary Doctor...
Latent semantic analysis; automated essay/short-answer scoring (Intelligent Essay Assessor); NLP for educational assessment
Computer-Assisted Language Learning (CALL); AI-based adaptive language learning and learning analytics
Technical co-founder and Chief Scientist of edX; creator of the Open edX platform
Self-regulated learning; metacognition; intelligent learning environments; multimodal data in education
NSF Early Faculty Career Award; APA Fellow
Economics of education; teacher effectiveness; high-impact tutoring policy; at-scale learning interventions
Fellow, American Academy of Arts and Sciences (2020); National Academy of Education member; AERA Fellow
Counterfactual learning to rank; implicit feedback; structured output prediction; unbiased learning from logged data
ACM Fellow; AAAI Fellow; SIGIR Academy; SIGIR Test-of-Time Award; multiple best paper awards
Machine learning; AI in education; knowledge components; large-scale online learning
Fredkin Professor of AI and Learning, CMU; co-chaired National Academies report on AI and the Future of Work
Ethics, human rights, and policy of AI in education
UNESCO Chair in the Ethics of AI and Education
Multilevel meta-analysis, psychometrics, statistical methods for learning analytics
Clarivate Web of Science Highly Cited Researcher (2022)
Web search, data mining, and ML; director of SJTU APEX Lab; SeqGAN and low-rank representation; ACM-ICPC championship coach
Coached three ACM-ICPC World Championship teams (2002, 2005, 2010); multiple NSFC and China 863 program PI...
AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis
2026 Siebel Scholar; multiple best paper awards (incl. L@S, LAK)
Learning analytics; educational data mining; causal inference in tutoring; AI annotation of learning discourse at scale
Dialogue-based intelligent tutoring, NLP for educational feedback, AI-driven tutor training
Best Student Paper EDM 2024; Best Paper HCII 2024; Best Paper ICMI 2019; Best Demo AIED 2023
Affect detection, student engagement modeling, and equity/bias in intelligent tutoring and adaptive learning
MIT EECS Rising Star (2021); multiple EDM/LAK best-paper nominations
Human-AI hybrid tutoring; educational equity; AI-augmented tutoring for students with disabilities
Knowledge tracing; student modeling; machine learning for education at EPFL
Fritz Kutter Award 2015 (ETH Zurich PhD dissertation)
PSLC DataShop; educational data mining infrastructure; LearnSphere
Learning analytics, responsible AI in education, self-regulated learning, technology-enhanced learning
Google Academic Research Award (2024); Editor-in-Chief, Journal of Learning Analytics; President of EATEL...
Causal inference in educational data mining; combining machine learning with randomized trial analysis; principal stratification in ITS
Machine learning and NLP for personalized learning, knowledge tracing, automated assessment
Co-recipient of $90M NSF MSRI-2 award (2024); NAEP Math Automated Scoring Challenge Grand Prize (2023);...
NLP for education; automated feedback generation; programming education; learning analytics
Gamification of intelligent tutoring, AI in education for underserved populations in Latin America, ethics of AI in education
Elected to governing board of the International AIED Society; Associate Editor, IEEE Transactions on...
Automated detection of student affect and engagement; co-developer of the BROMP field-observation protocol
Gamification in education; educational technology; engagement and motivation in AIED
Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems
Best Paper Award, AIED 2023
Multimodal learning analytics; STEM education; collaborative learning; AI in online learning
Knight Endowed Chair in AI (University of Miami); multiple NSF/IES/ONR grants
Learning engineering; AI-personalized math learning; large-scale field trials in education
Learning analytics; educational data mining; student dropout prediction; LMS data analysis in Latin America
CNPq Research Productivity Fellowship (Brazil's national research distinction); guest editor BJET special...
AI for self-regulated learning in higher education; stylometry and academic integrity; learning analytics
FEIT Excellence Award in Teaching and Learning / Kelvin Medal (2022); University of Melbourne Edward Brown...
AI-driven personalized learning in CS education; human-centered machine learning for education
NSF NAIRR AI Education Fellow; NSF-IUSE grants totaling ~$4M
Learning analytics; NLP for education; automated text analysis; MOOCs; Latin American LA community
LAK Best Paper nominations; editorial roles in Journal of Learning Analytics
Self-regulated learning analytics; multimodal data (eye-tracking, facial emotion, log data); open-ended learning environments
Board of Directors, International Educational Data Mining Society (2024–2030); SIG Chair, APSCE Learning...
Pedagogical alignment of LLMs; cognitive modeling of student reasoning; AI in education at scale
Intelligent tutoring systems for underserved regions; MathAIde ITS; AI/computer vision in education
Mathematics teacher professional development; teacher knowledge measurement; technology-enhanced teacher learning
Multiple NSF grants
Deep learning for knowledge tracing; pyKT benchmark library; AI-powered adaptive learning at scale
pyKT at NeurIPS 2022; simpleKT at ICLR 2023; XES3G5M at NeurIPS 2023; ACM Distinguished Speaker
AI in education; collaborative learning; multimodal data analytics; hybrid intelligence
IEEE TCLT Early Career Researcher Award in Learning Technologies (2025); listed in Stanford/Elsevier top 2%...
Narrative-centered learning environments, AI-driven game-based learning, intelligent tutoring systems, Crystal Island, student modeling and adaptive feedback
Mind-wandering and attention during learning; eye-tracking; adaptive learning; educational data mining
Personalization of mathematics instruction by connecting math to students' interests; intelligent tutoring, generative AI, AR/VR in math learning
Presidential Early Career Award for Scientists and Engineers (PECASE), 2019; Annette and Harold Simmons...
AI in education research and practice; learning context frameworks; adaptive learning at scale via OpenStax/SafeInsights
Gamification in intelligent tutoring systems; teacher co-design of AIED tools; AIED policy in Brazil
Metacognition, help-seeking, intelligent tutoring systems; bridging learning analytics with learning design
ITS Best Paper Awards (2004, 2006); IMS Global Learning Impact Award (2019)
MathSpring intelligent tutoring system, multimodal/affective state detection in K-12 math, gender equity in STEM
NSF CAREER Award; EDM Best Paper (2010)
Generative AI/LLMs in classrooms; AI-generated feedback for writing; individual differences in edtech; equitable AI deployment in K-12
Jacobs Foundation Research Fellow 2024–2026; Program Co-Chair, ACM Learning @ Scale 2025
Educational data mining, student behavior modeling, hint usage analysis, self-regulated learning in ITS
NSF CAREER Award (2020)
Technology-enhanced learning, mobile and context-aware learning, learning analytics dashboards, adaptive hypermedia, digital education
Apple Distinguished Educator; President of the International Association of Mobile Learning (2013-2015)
Computer-based assessments; LLMs for automated grading; computing education technology at scale
Item response theory for automated essay scoring; Bayesian psychometrics; multidimensional IRT; neural AES
AIED 2020 Best Paper Runner-Up; AIED 2021 Best Paper Nominee; ICCE 2025 Best LBR Award; Springer Nature...
Human-AI interaction for learning; data visualization; adaptive education technology
CHI 2022 Best Paper Award; VIS 2022 Honorable Mention; VIS 2019 Best Poster Award
Large-scale randomized controlled trials evaluating intelligent tutoring systems (ASSISTments, MathSpring); IES-funded efficacy research on ed-tech
Person-centered and temporal learning analytics, network science in education, precision education
SoLAR Europe Emerging Scholar Award (2023); Best Full Paper, LAK24
Machine learning for affect detection in education, automated essay scoring, algorithmic fairness in learning analytics
Best Paper Honorable Mention, ACM CHI (2025); National Study of Learning Mindsets Early Career Fellowship
AI-driven personalization of educational content; knowledge tracing (TrueLearn); recommender systems for education at scale
AI integration across school subjects; computational approaches to STEM and science education; AI literacy and learner identity
Learner sourcing; human-AI collaboration for educational content creation; NLP for assessment and feedback
Worked examples and self-explanation in intelligent tutoring; participatory design in learning technology; self-regulated learning support
Explainable and fair AI for education; multimodal learning (MultiModN); knowledge tracing; student-success prediction
Patrick Denantes Memorial Prize (EPFL best CS doctoral thesis, 2025); AIED 2024 Best Late-Breaking Results...
Multimodal learning analytics, AI/sensor-based classroom feedback tools, video-based learning
Editor-in-Chief, Journal of Learning Analytics; LAK 2017 Program Chair; multiple Best Paper awards
Self-regulated learning analytics; generative AI effects on learning; multimodal collaborative learning
Computing education; MOOCs; learning analytics for programming; generative AI in CS teaching
Aalto Pioneering Excellence Honorable Mention (2025)
Learning analytics; e-book systems for education; student learning behavior analysis; pattern recognition
JST-PRESTO researcher (2015–2019)
Psychometrics, item response theory, causal inference in education, genomics of educational outcomes, the Item Response Warehouse open-data initiative
Jacobs Foundation Research Fellowship (2022-2024); AERA Quantitative Dissertation Award (2013)
Adaptive learning technologies; educational data mining; large model applications in education
2021 Early Career Research Award from APSCE
Learner modeling, adaptive language-learning technologies, open learner models, learning analytics dashboards, mobile-assisted language learning; directs the EdTeKLA group at University of Alberta
2024 CRA-E Undergraduate Research Faculty Mentoring Award
Scaling online graduate CS education (Georgia Tech OMSCS), AI-supported learning at scale, design of large online courses, AI teaching assistants; author of 'Teaching at Scale'
Inaugural Zvi Galil PEACE Chair at Georgia Tech; Chair of the ACM Learning @ Scale Steering Committee;...
Linked data for education; MOOCs; open educational resources; learning analytics; data literacy
Intelligent tutoring systems, computer-supported collaborative learning, embodied and tangible learning, human-robot interaction in education, culturally responsive educational AI
Best paper awards at CHI and Creativity & Cognition; best poster and best young researcher paper at AIED;...
Game-based learning, narrative-centered environments, intelligent tutoring systems, informal STEM learning; Director of the NSF INVITE AI Institute at UIUC
Director, NSF INVITE AI Institute (2023)
Learning analytics, AI in education, student modeling, computer-supported collaborative learning, and human-AI interaction; heads the COLAPS group at University of Duisburg-Essen
LLMs in computing education; code generation; AI-assisted programming for novices; CS education research
Best Research Paper at GenAI in CS Education Workshop (AICSEPAR 2026); Academy Research Fellow (Finland)
Dialogue-based intelligent tutoring systems, tutorial dialogue strategy, computing education, collaborative learning, multimodal learning analytics
NSF CAREER Award; best paper awards at AIED and ITS conferences
Computing and CS education; AI literacy in K-12; computational thinking in Scandinavian schools
Multimodal learning analytics, maker education, inclusive STEM learning, AI in education; directs the TIILT Lab at Northwestern University
NSF CAREER Award (2021); Karr Family Associate Professorship at Northwestern University
Inclusive K-12 computer science education; Universal Design for Learning in CS; students with disabilities in computing
NSF grants; recognized as CS Hero by CSEdWeek
Emotion regulation and collaborative learning; CSCL and learning analytics
2021 Paul R. Pintrich Outstanding Dissertation Award (APA Division 15)
Pedagogical agents, multimedia learning, meta-analysis of educational technology
Computer-supported collaborative learning, conversational agents, learning analytics
AI for time series; AI for education; adaptive learning at Squirrel AI; machine learning
Multiple Oral/Spotlight at NeurIPS, ICML, ICLR, ACL, AAAI; Area Chair at NeurIPS/ICML/ICLR/KDD; IEEE CIS...
Learning analytics methods; sequence and process mining; R tools for learning analytics; Transition Network Analysis
SoLAR Europe's Emerging Scholar 2025; IEEE TCLT Early Career Researcher Award 2024; Royal Academy of...
Co-founder and Chief Scientist of Carnegie Learning; co-developer of the Cognitive Tutor for mathematics; intelligent tutoring systems, knowledge tracing, educational data mining
Technology-enhanced learning; workplace learning analytics; ERA-Chair learning analytics research
Human-centered NLP; behavioral testing of NLP models (CheckList); interactive AI debugging
ACL 2020 Best Paper (CheckList: Beyond Accuracy)
Argumentation learning progressions; automated scoring of written arguments; NLP for writing assessment
Engineering education; computational thinking; simulation-based learning; STEM and learning sciences (Purdue University)
NSF CAREER Award; ASEE Fellow (inducted 2024); Purdue Faculty Scholar (2016); W.C. Furnas Professor in...
Multilingual NLP; low-resource and Indonesian language AI; efficient model training
NLP and computational social science; multilingual/multicultural aspects of LLMs; educational NLP (MOOC/forum analytics)
Intelligent tutoring systems for programming; program visualization; CS education tools (problets)
ACM Distinguished Member; Senior Member IEEE; Co-Chair of ACM/IEEE-CS/AAAI CS Curricula 2023
NLP for education: readability, lexical difficulty, automated essay scoring, and evaluating LLMs as teachers
BAEF fellowship (Stanford postdoc)
NLP for educational applications; automated short-answer scoring; active learning for scoring
Bayesian modeling for knowledge tracing and learner-misunderstanding diagnosis; cognitive modeling in educational AI
K-12 CS education, teacher preparation for technology and computer science integration
Barbara B. Jacobs Chair in Education and Technology (IU, 2020)
Recommender systems; learning path recommendation; knowledge graph embeddings; technology-enhanced learning
Indonesian NLP; speech and text processing; AI for low-resource languages
Machine learning; big data analytics; credit risk modeling; fraud detection
NLP for educational assessment, automated essay scoring, reading technology for education
Edit distance for programming traces, hint generation, knowledge tracing, machine learning for structured data in education
Co-founder and CEO of EdSurge, leading edtech journalism and information platform
Affect and emotion in learning; confusion as a productive state in intelligent tutoring
Learning analytics; e-learning; flipped classrooms; higher education policy; former Croatian Minister of Science and Education
Social computing; crowdsourcing; HCI; Wikipedia collaboration and Twitter analytics
Learning analytics, educational data mining, blockchain in education, e-book interaction analysis
Higher education research, student engagement, learning gain, quality and accountability in HE
Principal Fellow of the Higher Education Academy
Adaptive hypermedia; personalized e-learning; educational recommender systems (LS-Plan, MoodleREC)
Serious game design; game-based learning; Triadic Game Design framework
DARPA Young Faculty Award; ACM CHI Best Paper Award; Honorable Mention Award (ACM CHI); Young Talent Prize...
Machine learning for education and health, multi-output prediction, explainable AI, personalized learning
Computer-supported collaborative learning (CSCL); collaborative problem-solving; educational technology design; digital storytelling in education
Mobile and ubiquitous learning; e-book-based learning analytics; educational big data
Early Career Researcher Award, Asia-Pacific Society for Computers in Education (APSCE, 2019)
Deep knowledge tracing; large-scale CS education; student modeling at Stanford
Open education, OER, learning standards (ISO/IEC/CEN), quality in technology-enhanced learning
ICDE Chair in OER
MOOC data analysis, learning analytics, educational data mining, predictive student modeling, fairness in learning algorithms, MOOC Replication Framework (MORF); Associate Professor at University of Michigan School of Information
Best Full Research Paper Award at LAK (slicing analysis of fairness in predictive student models)
Intelligent tutoring for ill-defined domains; argument diagram analysis; educational data mining; plan recognition
PrairieLearn assessment platform; computer-based testing facility; mastery learning; CS education research
IEEE Education Society Mac Van Valkenburg Early Career Teaching Award; UIUC Campus Award for Excellence in...
Open education, e-learning, learning analytics, UNESCO Chair on eLearning, OER
UNESCO Chair on eLearning; ICDE Chair in Open Educational Resources; former chair of UNESCO King Hamad Bin...
Multimodal learning analytics and project-based collaborative learning
Learning design technologies; CSCL; learning analytics and AI in education
ICREA Academia award; Fulbright Scholar; multiple best paper awards
NLP; knowledge base population; machine translation; low-resource languages
Information retrieval, digital libraries, game-based learning, and HCI at NTU Singapore
Mathematics teacher education and culturally relevant math/science curricula
APA Division 15 Early Career Award; 2014 Women of Color STEM K-12 Promotion of Education Award; ORAU Junior...
Generative music AI, music information retrieval, and controllable text-to-music systems
Singapore Top 100 Women in Technology 2021; SAIL WAIC Award Top 30 (2024)
Eye-tracking and gaze-based learning analytics; multimodal interaction; human-centered AI for learning
Liesel Beckmann Distinguished Professorship (named endowed chair)
Co-developer of Graspable Math / From Here to There!; perceptual-embodied learning in algebra
NSF CAREER Award (2022); WPI Sigma Xi Outstanding Junior Faculty Researcher (2022)
HCI, brain-computer interfaces, physiological computing; adaptive learning environments
Technology-enhanced learning environments, teacher professional competence, instructional design, learning analytics in mathematics education
HCI, interactive technology for children with special needs, technology-enhanced learning and accessibility
Best Full Paper Award ACM IDC 2010; Best Workshop Paper ACM IDC 2012; Best Poster ACM IUI 2019
Educational robotics (Thymio robot), swarm robotics, open-source platforms for computational thinking
Polytechnik-Preis 2022 (STEM didactics); EPFL Latsis University Prize (2005)
Information retrieval, recommender systems, gamification, human-centered data science
Senior Fellow, UK Higher Education Academy; General Chair ACM CHIIR 2024; General Chair ACM CIKM 2023
Computer-assisted language learning (CALL), digital game-based language learning, task-based learning with adaptive systems
Robert A. Fischer Outstanding Graduate Student Award, CALICO (2014)
Smartphone-based coding education in Africa (SuaCode), mobile health wearables, AI-driven learning tools for low-resource settings
2023 Forbes 30 Under 30 Europe; 2021 MIT Technology Review 35 Innovators Under 35; 2019 Africa Union...
Learning analytics for MOOCs, fake-learner/cheating detection, AI in science education
EDM 2025 Program Co-Chair; Best Paper CSEDU 2024
Open source software mining; software evolution; computing education research (Dr. Scratch tool)
Google RISE Award (2015) for Dr. Scratch; MSR 2015 Significant Contribution Award; CHI 2020 Best Paper;...
Field experiments on EdTech, mobile SMS learning interventions, educational inequality in the Global South
MIT Technology Review Top Innovator Under 35 Brazil (2014); Schwab Foundation Top-10 Brazilian Social...
Learning and skills analytics, labor market matching, technology-enhanced learning
Learning analytics, AI in higher education, explainable AI in education, crowdsourcing for learning
Computer-supported collaborative learning (CSCL), learning sciences, STEM education meta-research
Learning analytics; recommender systems for personalized learning; data privacy (DELICATE checklist)
Graph kernels, machine learning on structured data, probabilistic data mining; peripheral EDM crossover
AI-supported self-regulated learning; learning analytics; hybrid human-AI regulation for young learners
ERC Starting Grant
Grounded language learning; compositional generalization; neural module networks; LM interpretability
NSF CAREER; multiple best paper awards at NLP venues
Automated facial expression analysis; student engagement detection from video; affective computing for education
NSF CAREER Award
Learning analytics; AI in education; computational thinking; multimodal learning analytics
Applied AI industry leadership; VP of AI at Meta (2018–2022); founder of Sizzle AI (AI tutoring app acquired by Campus)
Knowledge tracing; adaptive assessment; Knowledge Tracing Machines; open educational datasets; Pix platform
Member, French Conseil scientifique de l'Education nationale (since 2023)
Learning analytics, game-based learning, self-regulated learning in STEM education, data literacy
AI systems research; founding dean of UTSA College of AI, Cyber and Computing; scientific director of NSF AI Institute for Exceptional Education
9 best paper awards; Outstanding PhD Award (UCLA)
Learning analytics; machine learning in education; network analysis; e-learning
2023 Outstanding Research Award (Taiwan); 2019 Wu Da-You Memorial Award (Taiwan)
Causal inference; statistical methods for unobserved confounders; RUV (removing unwanted variation)
CS education at scale; creator of CS61A and Data 8 at UC Berkeley; author of Composing Programs textbook
UC Berkeley Distinguished Teaching Award (2018); Jim and Donna Gray Award (2017); Diane S. McEntyre Award...
Adaptive A/B experimentation in education; crowdsourcing and personalization of learning interventions
CHI Best Paper award; multiple honorable mentions (CHI, EDM, LAS)
Computational linguistics and ML for child language development and autism; NLP-based behavioral markers for neurodevelopmental conditions
NSF Graduate Research Fellowship; Autism Science Foundation Postdoctoral Fellowship; APA Dissertation Award
Computer-supported collaborative learning (CSCL); knowledge building; social network analysis of collaborative discourse
Intelligent learning support systems, ontological engineering, presentation-based meta-learning at Osaka Metropolitan University
Human-AI collaboration in K-12 classrooms; teachable AI; fairness in educational AI
Automated NLP/ML scoring of student constructed responses in science education; director of MSU AACR group
Statistical text readability prediction; vocabulary learning; adaptive intelligent reading tutors
ACM Distinguished Member (2020)
AI and education; multi-agent human-computer decision-making; collaborative problem solving
Wolf Foundation Krill Prize; Marie Curie EU Fellowship; AAAI Senior Member; Best Paper UMAP 2019, EC 2016,...
Cognitive agent programming languages (GOAL); social robotics; multi-agent systems
Multimodal analysis of science classroom discourse; disciplinary literacy in science education
Problem-based learning, scaffolding, and collaborative inquiry in technology-enhanced environments
Group awareness and self-regulation in computer-supported collaborative learning (CSCL)
Intelligent learning environments, AI in education, exploratory learning, adaptive and affect-aware educational systems, open learner modelling; Professor of AI and Analytics in Education at UCL Knowledge Lab
Editor of the British Journal of Educational Technology (BJET)
Computerized adaptive testing; item response theory; Bayesian item selection; educational data mining
Affect detection in intelligent tutoring systems; EDM in developing-country contexts
APSCE Distinguished Researcher Award (2021); AIED 2025 keynote speaker
Knowledge management; ontology-based learning systems; technology-enhanced learning
IEEE Senior Member (2017)
Learning analytics, self-regulated learning, e-book analytics, CSCL, game-based learning
Multimodal learning analytics; technology-enhanced learning; interaction design for learning systems
Reinforcement learning / MDP-based pedagogical policy induction for intelligent tutoring systems
NSF CAREER Award; Alcoa Foundation Engineering Research Achievement Award; 10 best/outstanding paper awards
Information systems engineering; learning analytics; process mining for learning; model-driven engineering
Engineering education; active learning; collaborative learning; conceptual change in STEM
William Elgin Wickenden Award (ASEE); Texas Instruments Distinguished Chair
Technology-enhanced learning; collaborative virtual environments; large-scale digital storytelling in education (PoliCultura); educational design research
CSCL; integration of intelligent tutoring with collaborative learning; hybrid human+AI tutoring
Explainable AI for RL agents, human-agent interaction; education and healthcare applications
Member of the Global Young Academy (2022)
Educational measurement, psychometrics, computational psychometrics, AI in assessment
Social robots for language learning; spoken dialogue systems; robot-assisted L2 conversation practice
Christian Benoît Award (2004) for computer-animated tutors
HCI research on help-seeking and learning in complex software tools
2022 CS-CAN Outstanding Early Career Computer Science Researcher Award; NSERC Discovery Accelerator;...
Automated essay scoring, NLP for writing assessment, cognitive models of writing
Learning analytics, fairness and equity in educational prediction, trace-based behavioral data analysis
CS education research; novice programmer cognition; CS curriculum development
ACM SIGCSE Lifetime Service Award (2022); ACM Distinguished Member (2017)
Human-computer interaction, information visualization, multivariate data visualization, narrative visualization
Intelligent tutoring systems; AI ethics in education; agent-based learning systems
Adaptive educational systems; intelligent textbooks; student/user modeling
Knowledge tracing; equity in learning analytics algorithms; intelligent tutoring; instructional sequencing
Pervasive/ubiquitous computing; learning analytics; civic computing; human-data interaction
Learning analytics methods, sequence analysis, educational escape rooms, game-based learning
Europe's Emerging Scholar by SoLAR (2025), IEEE TCLT Early Career Researcher Award (2024), Royal Academy of...
Educational technology for underserved and special-needs learners; co-founder/CEO of Enuma (Kitkit School, Todo Math)
Global Learning XPRIZE co-winner (2019); Schwab Foundation Social Entrepreneur of the Year (2020); Ashoka...
Learning analytics, social network analysis, NLP applied to online learning, MOOC research; Co-Director of the Centre for Change and Complexity in Learning (C3L) at University of South Australia
CS education research, technology-enhanced learning, educational technology at IIT Bombay
ACM India OCCE Award 2020 (inaugural recipient); AECT International Contribution Award 2019
Co-founder of Carnegie Learning; Cognitive Tutor and MATHia intelligent tutoring platforms
Best Paper at the International Conference on EDM
Machine learning and data mining for modeling human learning behavior; knowledge tracing and student modeling
Fritz Kutter Award (2015); Credit Suisse Award for Best Teaching (2023)
Reading comprehension, scenario-based assessment, educational measurement
CS education, data-driven programming hints, intelligent tutoring for programming, block-based environments
College of Engineering Doctoral Scholar of the Year, NC State (2018)
Learning analytics dashboards for student advising/success in STEM; explainable AI for education
Technology-based assessment; log/process data analysis; computer-adaptive testing; mode effects in PISA and NEPS
Intelligent tutoring systems, ontological engineering, and AI in education at TÉLUQ University (Quebec)
Intelligent tutoring systems; learning analytics; modeling learning interactions and epistemic feedback
Holder of an EIAH (AI-in-education) chair at Sorbonne/UPMC
Online learning, social media in education, instructional design, educational technology
AECT Fellow (2024); Tyner Distinguished Professorship; AECT Book Award 1st Place (2024)
Dialogue-based intelligent tutoring (DeepTutor, AutoTutor); NLP for educational dialogue; automated assessment of student responses
Reinforcement learning, recommendation systems, computational advertising, generative models (SeqGAN, Mean Field MARL)
ACM Rising Star Award 2017; Alibaba DAMO Young Scholar Award 2018; SIGIR 2017 Honorable Mention; CoRL 2020...
Game-based learning stealth assessment, multimodal learning analytics, AI-driven adaptive educational games
Best Student Paper Award, EDM 2020
Learning analytics policy (SHEILA framework), feedback analytics, explainable AI in education
ALT Learning Technology Research Project of the Year (2019) for the SHEILA project
Psychometric methods, item response theory, computerized adaptive testing, learning analytics
NCME Jason Millman Promising Scholar Award; NCME Bradley Hanson Award; NSF CAREER Award; APS Fellow; APA...
Science and STEM education technology; AI in education; Knowledge Building; TPACK; learning technology design
Knowledge tracing / cognitive mastery modeling; recommender systems for education
Best Short Paper at EDM; EDM 2014 Program Co-Chair
Mastery/adaptive online learning; MOOC A/B experimentation; physics education research
NSF CAREER Award
LLMs for qualitative coding in education; knowledge tracing; self-regulated learning detection
Intelligent tutoring systems; ASSISTments; human-AI collaboration for teacher feedback; LLM-based tutoring
AI in K-12 computing education; intelligent tutoring; stealth assessment; game-based learning
Multiple NSF grants; SIGCSE recognition
Diagnostic multiple-choice questions; AI-driven formative assessment in mathematics; NeurIPS 2020 Education Challenge
Co-organized NeurIPS 2020 Education Challenge (Diagnostic Questions dataset)
AI in education; inclusive AI learning design; generative AI for K-12 learning
Knowledge tracing; deep learning for education; adaptive learning; learning analytics
LLM-based automated grading; retrieval-augmented grading; generative AI for K-12 education (MSU PhD student)
Learning analytics; AI in education; VIABLE Lab at University of Florida
Learning analytics; game-based learning; LLMs for qualitative coding; affect and knowledge modeling
Fulbright Scholarship (2022)
AI-generated question and feedback quality in educational technology; math MCQ and distractor generation
Learning analytics; educational data mining; dropout prediction; sequential pattern mining in VLEs
LLM-powered short-answer grading; multi-agent systems for math teacher professional development
Multi-agent LLM frameworks for automated grading and bias detection in education
Knowledge tracing, sensor-free affect detection, educational data mining, ML in intelligent tutoring systems; leads the VIABLE Lab at University of Florida
Learning analytics; intelligent tutoring systems; NLP for education; self-regulated learning
FRQSC Doctoral Scholarship (2025–28); LAK26 best short paper nominations
Learning analytics for peer assessment; epistemic network analysis in formative feedback
Personalized/adaptive learning systems; AI literacy and data science education; game-based STEM learning; large-scale program evaluation
Educational data science; learning analytics; causal inference in ITS log data; Carnegie Learning MATHia
Game-based learning; learning analytics; quantitative ethnography; identity in digital learning
Intelligent tutoring systems; instructional sequencing; Q-learning for ITS; mathematics education technology
NLP for automated formative assessment evaluation; LLMs in STEM+computing education
Science simulations; inquiry-based learning; STEM education technology; open-ended learning environments
Educational data mining; ASSISTments; online learning experiments; interpretable personalized learning
Best Dataset Award at L@S and EDM
Educational data mining; learning analytics; AI in programming education; dropout prediction
Computational psychometrics, automatic item generation, educational data mining, ethical AI in education
NLP for law and education; automated feedback for programming; CS education; human-centered AI
CS education, automated assessment for code quality, BlueJ/Greenfoot educational tools
Self-regulated learning, learning analytics, NLP for educational discourse analysis
Multimodal machine learning for education; affect and engagement detection; classroom observation; mind-wandering detection
Machine learning for education; student behavior modeling; personalized interventions
Human-AI interaction in education; LLMs in computing education; student simulation
Best Student Paper at AIED 2024
Intelligent tutoring systems; student modeling; user modeling and personalization; human-AI interaction
Multimodal learning analytics; AI-driven analytics in healthcare simulation; sensor-based data in education
Chancellor's List of Outstanding PhD Theses (Honourable Mention), UTS
Multimodal learning analytics; emotion regulation in collaborative learning; human-AI writing collaboration
AI in education; intelligent tutoring systems; LLM-based feedback; computing education
Educational data mining; information retrieval; explainable AI for education; personalized feedback
NLP for education; grammatical error correction; automated essay scoring; automated writing evaluation
NLP and computational analysis of college admissions essays; bias and fairness in educational AI
Responsible AI education, inclusive collaboration learning, HCI/learning sciences at NYU
Adaptive educational content sequencing, personalized e-learning, learning analytics; Kobi Gal's lab at Ben-Gurion University
Socially assistive robotics for educational and assistive contexts; child-robot interaction
Technology-enhanced collaborative learning; SSRL; uncertainty management in STEM; learning sciences
Computational thinking education, AI teachable agents, global education innovation
Co-founder and Executive Director of the ASSISTments Foundation; bridging ITS research and classroom math
Intelligent tutoring systems; gamification in AIED; ontological models for educational AI (UFAL, Brazil)
Knowledge graphs for e-learning and personal learning environments
Best Full Paper nomination, AIED 2025
Culturally-aware intelligent tutoring systems; founding organizer of the CATS workshop series at AIED
Educational games; data science methods for game-based learning; AI tutors (CMU HCII)
Automated scoring of open-ended responses; NLP in large-scale educational assessment
Multimodal learning analytics, teamwork analytics, data storytelling for educators
Best paper recognition at IJAIED '21
AI in education, learning analytics dashboards, educational data mining; National Central University Taiwan
Intelligent tutoring systems, knowledge extraction from textbooks, CS education, adaptive learning
Co-creator of the OULAD (Open University Learning Analytics Dataset), a widely used learning analytics/EDM benchmark
Data mining, machine learning, computer science education, software quality tools
CS education research: programming instruction, pair programming, remote assessment, educational games
Applied learning analytics, LMS data, edtech research practice
Intelligent tutoring systems, CTAT authoring tools, SimStudent, ITS and MOOCs
Computational thinking assessment; K-12 CS education and educational robotics (EPFL)
Educational data mining, recommender systems for e-learning, deep learning for education, fairness in personalized ranking
Multimodal affect detection, detector-driven interviewing, self-regulated learning in EDM
Explainable AI and trustworthy machine learning, with applications including AI for education
ICML 2022 Outstanding Paper Award; AMIA 2024 Distinguished Paper Award; Google Research Scholar Award 2025
Director of Carnegie Mellon's Open Learning Initiative (OLI); open educational resources and learning engineering
Technology-enhanced learning; intelligent tutoring; MOOCs; serious games; adaptive learning scenarios
Intelligent tutoring systems, CTAT authoring tools, extensible student modeling
CSCL, learning analytics, dual eye-tracking, MOOC analytics, digital education at EPFL
Multi-agent systems and reinforcement learning; emerging AI-for-education work (adaptive curricula)
Lee Kuan Yew Fellow (SMU)
Learning analytics, AI in education, discourse and collaboration analytics, eye-tracking in learning
Teacher/student trust in AI-powered EdTech; NLP for automated assessment; learning analytics (EPFL postdoc)
John F. Kennedy Prize for Outstanding Doctoral Thesis (Weizmann); Azrieli PhD Fellowship; Schmidt Futures...
Behavioral market design, Econ-CS, MOOC dropout/engagement, crowdsourcing platforms, AI economic behavior
Associate Editor, Management Science; NSFC Young Scholar grant
Cybersecurity education; CTF-based learning; learning analytics in hands-on security training
3rd Best Paper Award, SIGCSE 2020
Educational and learning support systems, metacognitive support, dialogue agents for AIED; Osaka Metropolitan University
2024 Educational Systems Information Society Paper Award; EdMedia 2024 Outstanding Paper Award
Knowledge tracing, machine learning for education, NLP for educational assessment