Bruce M. McLaren
Professor
Studies educational technology, including digital learning games and intelligent tutors.
Bruce M. McLaren's lab at CMU works on interfaces & interaction techniques, learning & education technology and language & society. 39 papers since 2023. 2 PhD students. 16 alumni. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 0%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 16
Papers by yearfrom the lab homepage, 2023–2026
- 14 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 0
- 9 papers2024 · T1 0
- 8 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Learning & education technology31 papers
- Language & society1 paper
- Interfaces & interaction techniques0 papers
- studies educational0 papers
- educational technology0 papers
Paper list
From the lab homepage.
202614 papers
- Proceedings of the European Conference on Technology Enhanced LearningAdapting intelligent tutoring systems for technical workforce training: A case study of two cybersecurity tutor designs (opens in a new tab)
- Proceedings of Meaningful PlayCan games reduce inequity? Evaluative framing alone does not address racial disparities in assessment (opens in a new tab)
- Journal of Computer Assisted LearningDeceptive overgeneralization: When adaptive learning enables systematic misapplication (opens in a new tab)
- Interactive Technology and Smart Education. https://doi.org/10.1108/ITSE-12- -0370Efficiency and effectiveness of adaptive learning paths: Evidence from a large-scale study (opens in a new tab)
- Journal of Research on Technology in EducationExploring the impact of teacher support in competitive digital learning games on primary students' learning and academic engagement (opens in a new tab)
- AIEDGender differences in learning and test taking experiences with digital game-based assessment (opens in a new tab)
- Proceedings of the European Conference on Technology Enhanced LearningIntraindividual variability in self-reported energy as a contextual factor for learning outcomes in a K–12 math digital learning game (opens in a new tab)
- ISLSMaximize learning and fun: How to integrate in-game learning supports into digital learning games (opens in a new tab)
- Proceedings of the Special Interest Group on Computer Science Education Technical SymposiumPartnering with community college faculty to co-design intelligent tutoring systems for cybersecurity workforce training (opens in a new tab)
- LAK26Revisiting the hint button: Consistent negative associations between unproductive hint use and learning outcomes in intelligent tutoring systems (opens in a new tab)
- LAK26Understanding gaming the system through analyzing self-regulated learning in think-aloud protocols (opens in a new tab)
- AIEDVanLehn’s two loops aren’t enough: Toward meta-adaptive control of instructional form. Blue Sky paper (opens in a new tab)
20258 papers
- ISLSChatGPT as a feedback provider in digital learning games: A systematic literature review (opens in a new tab)
- AIEDComparing the effectiveness of digital game-based learning and embodied learning (opens in a new tab)
- Computers & Education: Artificial IntelligenceHow does students' perception of ChatGPT shape online learning engagement and performance? (opens in a new tab)
- ICCEImpact of digital learning game narratives on affective experiences and learning (opens in a new tab)
- AIME-CONLLM-based approaches for detecting gaming the system in self-explanation (opens in a new tab)
- Journal of Science Education and Technology.Problem-solving strategies in stoichiometry across two intelligent tutoring systems: A cross-national study (opens in a new tab)
- ISLSThe impact of hint modality in digital game-based learning: A systematic literature review (opens in a new tab)
- AIEDUtilizing log-based and neurophysiological measures to understand engagement and learning with intelligent tutoring systems (opens in a new tab)
20249 papers
- AERACommunity college information technology education: Curriculum mapping, a learning science framework, and AI learning technologies. Paper presented at (opens in a new tab)
- Ilic, P., Casebourne, I., Wegerif, R. (eds) Artificial Intelligence in Education: The Intersection of Technology and Pedagogy. Intelligent Systems Reference LibraryDecimal Point: A decade of learning science findings with a digital learning game (opens in a new tab)
- Instructional ScienceGaming the system mediates the relationship between gender and learning outcomes in a digital learning game (opens in a new tab)
- Interactive Learning Environments (NILE).Improving computational thinking: The role of students’ networking skills and digital informal learning (opens in a new tab)
- ECTELInvestigating racial and ethnic differences in learning with a digital game and tutor for decimal numbers (opens in a new tab)
- ECTELLeveraging intelligent tutoring systems to enhance project-based learning in workforce training at community colleges. Poster presented at (opens in a new tab)
- Journal of Computer Assisted LearningMindfulness in a digital math learning game: Insights from two randomized controlled trials (opens in a new tab)
- AIEDUnderstanding gender effects in game-based learning: The role of self-explanation (opens in a new tab)
- Proceedings of Meaningful PlayUsing a multi-dimensional model of gender to assess learning with different game-based learning narratives. 153-173 (opens in a new tab)
20238 papers
- Handbook of Artificial Intelligence in EducationDigital learning games in Artificial Intelligence in Education (AIED): A review. In B. du Boulay, A. Mitrovic, & K. Yacef (Eds.), (opens in a new tab)
- ECTELEvaluating ChatGPT’s decimal skills and feedback generation to students’ self-explanations in a digital learning game (opens in a new tab)
- AIEDExamining the learning benefits of different types of prompted self-explanation in a decimal learning game (opens in a new tab)
- AIEDGender differences in learning game preferences: Results using a multi-dimensional gender framework (opens in a new tab)
- Educational Technology Research & Development.How well do contemporary knowledge tracing algorithms predict the knowledge carried out of a digital learning game? (opens in a new tab)
- Proceedings of the Annual Meeting of the Society for Text and DiscourseLeveraging natural language processing to detect gaming the system in open-ended questions in a math digital learning game (opens in a new tab)
- Handbook of Artificial Intelligence in EducationSix instructional approaches supported in AIED systems. In B. du Boulay, A. Mitrovic, & K. Yacef (Eds.), (opens in a new tab)
- International Journal of Artificial Intelligence in Education.Towards a tutoring system to support robotics activities in classrooms – Two Wizard-of-Oz studies (opens in a new tab)
Where alumni went16 listed
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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