Contextualized Instruction in Data Science and its Effect on Transfer of Learning. - Tomohiro Nagashima (EC-TEL (Doctoral Consortium), 2018)

Reasoning About Equations with Tape Diagrams: Do Differing Visual Features Matter? - Anna N. Bartel; Elena Silla; Nicholas Vest; Tomohiro Nagashima; Vincent Aleven; Martha W. Alibali (CogSci, 2020)

Enhancing Conceptual Knowledge in Early Algebra Through Scaffolding Diagrammatic Self-explanation. - Tomohiro Nagashima; Anna N. Bartel; Elena Silla; Nicholas Vest; Martha W. Alibali; Vincent Aleven (ICLS, 2020)

Pedagogical Affordance Analysis: Leveraging Teachers' Pedagogical Knowledge to Elicit Pedagogical Affordances and Constraints of Instructional Tools. - Tomohiro Nagashima; Kexin Bella Yang; Anna N. Bartel; Elena Silla; Nicholas Vest; Martha W. Alibali; Vincent Aleven (ICLS, 2020)

Scaffolded Self-explanation with Visual Representations Promotes Efficient Learning in Early Algebra. - Tomohiro Nagashima; Anna N. Bartel; Stephanie Tseng; Nicholas Vest; Elena Silla; Martha W. Alibali; Vincent Aleven (CogSci, 2021)

A Framework to Guide Educational Technology Studies in the Evolving Classroom Research Environment. - Tomohiro Nagashima; Gautam Yadav; Vincent Aleven (EC-TEL, 2021)

Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor. - Kexin Bella Yang; Tomohiro Nagashima; Junhui Yao; Joseph Jay Williams; Kenneth Holstein; Vincent Aleven (Proc. ACM Hum. Comput. Interact., 2021)

How does Sustaining and Interleaving Visual Scaffolding Help Learners? A Classroom Study with an Intelligent Tutoring System. - Tomohiro Nagashima; Elizabeth Ling; Bin Zheng; Anna N. Bartel; Elena Silla; Nicholas Vest; Martha W. Alibali; Vincent Aleven (CogSci, 2022)

Self-Explanation of Worked Examples Integrated in an Intelligent Tutoring System Enhances Problem Solving and Efficiency in Algebra. - Nicholas Vest; Elena Silla; Anna N. Bartel; Tomohiro Nagashima; Vincent Aleven; Martha W. Alibali (CogSci, 2022)

A Dashboard to Support Teachers During Students' Self-paced AI-Supported Problem-Solving Practice. - Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen (EC-TEL, 2022)

Design a Dashboard for Secondary School Learners to Support Mastery Learning in a Gamified Learning Environment. - Xinying Hou; Tomohiro Nagashima; Vincent Aleven (EC-TEL, 2022)

Designing Playful Intelligent Tutoring Software to Support Engaging and Effective Algebra Learning. - Tomohiro Nagashima; John Britti; Xiran Wang; Bin Zheng; Violet Turri; Stephanie Tseng; Vincent Aleven (EC-TEL, 2022)

A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom. - Shamya Karumbaiah; Conrad Borchers; Tianze Shou; Ann-Christin Falhs; Pinyang Liu; Tomohiro Nagashima; Nikol Rummel; Vincent Aleven (AIED, 2023)

Participatory Design for Cognitive Science: Examples From the Learning Sciences and Human-Computer Interaction. - Jenny Yun-Chen Chan; Tomohiro Nagashima; Avery Harrison Closser (Cogn. Sci., 2023)

Empowering Learners: Chatbot-Mediated 'Learning-by-Teaching'. - Nihar Sabnis; Tomohiro Nagashima (CHI Extended Abstracts, 2024)

Guiding Children?s Choice Making in an Intelligent Tutoring System. - Helena Kilger; Man Su; Tomohiro Nagashima (LDT, 2024)

Parallel Design: Achieving both Researchers' and Practitioners' Goals in the Design of an Interactive Learning System. - Tomohiro Nagashima; Katharina Bonaventura; Man Su (LDT, 2024)

Co-Designing Trustworthy Peer Agents with Middle-School Students. - Narek Shamamyan; Man Su; Tomohiro Nagashima (IDC, 2025)

Understanding Students' Nuanced Views on AI-Supported Classroom Learning Through Perspective Taking. - Tomohiro Nagashima; Martina Vincoli; Niklas Scholz; Man Su (AIED (1), 2025)

Multidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications. - Martina Vincoli; Niklas Scholz; Tomohiro Nagashima (AIED (4), 2025)

The MindfulMath Tutor: A Mindfulness-Infused Learning Environment to Battle Math Anxiety. - Mirella Hladký; Mareike Silber; Tomohiro Nagashima (CHI Extended Abstracts, 2025)

Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning. - Conrad Borchers; Tomohiro Nagashima; Pinyang Liu; Martha W. Alibali; Vincent Aleven (EC-TE (1), 2025)

Towards Developing a Guideline for Optimizing Interface Design of Intelligent Tutoring Software. - Shintaro Sato; Qingzhi Zhang; Man Su; Tomohiro Nagashima (EC-TEL (2), 2025)

Partnering with AI: A Pedagogical Feedback System for LLM Integration Into Programming Education. - Niklas Scholz; Manh Hung Nguyen; Adish Singla; Tomohiro Nagashima (EC-TEL (2), 2025)

Investigating the Effects of Motivational Pedagogical Agents on Student Learning and Choice Making in an Adaptive Learning System. - Man Su; Katharina Bonaventura; Shintaro Sato; Tomohiro Nagashima (EC-TEL (2), 2025)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. - Vincent Aleven; Conrad Borchers; Yun Huang 002; Tomohiro Nagashima; Bruce M. McLaren; Paulo Carvalho 004; Octav Popescu; Jonathan Sewall; Kenneth R. Koedinger (CoRR, 2025)