Andy Smith

Leveraging Large Language Models for Automated Assessment of Elementary Students' Block-Based Narrative Programs

Gupta, A., Monahan, R., Vandenberg, J., Smith, A., Elsayed, R., Fox, K., … Mott, B. (2024, December 2). PROCEEDINGS OF THE 2024 ACM VIRTUAL GLOBAL COMPUTING EDUCATION CONFERENCE V.2, SIGCSE VIRTUAL 2024, pp. 318–319.

Multimodal CS Education Using a Scaffolded CSCL Environment

Monahan, R., Vandenberg, J., Gupta, A., Smith, A., Elsayed, R., Fox, K., … Mott, B. (2023, June 29). PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL. 2, pp. 645–645.

Supporting Upper Elementary Students in Multidisciplinary Block-Based Narrative Programming

Vandenberg, J., Gupta, A., Smith, A., ElSayed, R., Fox, K., Cheuoua, A. H., … Mott, B. (2022, March 1). PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 2, SIGCSE 2023, pp. 1401–1401.

A reinforcement learning approach to adaptive remediation in online training

Spain, R., Rowe, J., Smith, A., Goldberg, B., Pokorny, R., Mott, B., & Lester, J. (2021, July 23). The Journal of Defense Modeling and Simulation Applications Methodology Technology, Vol. 7.

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science

Tian, X., Wiggins, J. B., Fahid, F. M., Emerson, A., Bounajim, D., Smith, A., … Lester, J. (2021, January 1). Lecture Notes in Computer Science, Vol. 1.

Progression Trajectory-Based Student Modeling for Novice Block-Based Programming

Fahid, F. M., Tian, X., Emerson, A., Wiggins, J. B., Bounajim, D., Smith, A., … Lester, J. (2021, June 21). Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization.

Cluster-Based Analysis of Novice Coding Misconceptions in Block-Based Programming

Emerson, A., Smith, A., Rodriguez, F. J., Wiebe, E. N., Mott, B. W., Boyer, K. E., & Lester, J. C. (2020, February 25). Proceedings of the 51st ACM Technical Symposium on Computer Science Education.

Designing Block-Based Programming Language Features to Support Upper Elementary Students in Creating Interactive Science Narratives

Smith, A., Mott, B., Taylor, S., Cheuoua, A. H., Minogue, J., Oliver, K., & Ringstaff, C. (2020, February 25). Proceedings of the 51st ACM Technical Symposium on Computer Science Education.

Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models

Emerson, A., Geden, M., Smith, A., Wiebe, E., Mott, B., Boyer, K. E., & Lester, J. (2020, July 7). Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization.

Toward a Block-Based Programming Approach to Interactive Storytelling for Upper Elementary Students

Smith, A., Mott, B., Taylor, S., Hubbard-Cheuoua, A., Minogue, J., Oliver, K., & Ringstaff, C. (2020, January 1). Lecture Notes in Computer Science, pp. 111–119.

Construction and Validation of an Anticipatory Thinking Assessment

Geden, M., Smith, A., Campbell, J., Spain, R., Amos-Binks, A., Mott, B., … Lester, J. (2019, December 11). Frontiers in Psychology, Vol. 10.

DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks

IEEE Transactions on Learning Technologies, 13(2), 1–1.

Position: IntelliBlox: A Toolkit for Integrating Block-Based Programming into Game-Based Learning Environments

Taylor, S., Min, W., Mott, B., Emerson, A., Smith, A., Wiebe, E., & Lester, J. (2019, October 1). Proceedings - 2019 IEEE Blocks and Beyond Workshop, B and B 2019, pp. 55–58.

Prime: Engaging STEM undergraduates in computer science with intelligent tutoring systems

ASEE Annual Conference and Exposition, Conference Proceedings. http://www.scopus.com/inward/record.url?eid=2-s2.0-85078800967&partnerID=MN8TOARS

The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment

Taub, M., Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. (2019, December 4). Computers & Education, Vol. 147.

Toward a Responsive Interface to Support Novices in Block-Based Programming

Rodriguez, F. J., Smith, C. R., Smith, A., Boyer, K. E., Wiebe, E. N., Mott, B. W., & Lester, J. C. (2019, October 1). Proceedings - 2019 IEEE Blocks and Beyond Workshop, B and B 2019, pp. 9–13.

A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning

IEEE Transactions on Learning Technologies, 12(1), 3–15.

Enhancing complex mathematics problem solving through learning by teaching with a teachable agent

IMSCI 2018 - 12th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings, 2, 31–36. http://www.scopus.com/inward/record.url?eid=2-s2.0-85056509594&partnerID=MN8TOARS

Towards Adaptive Support for Anticipatory Thinking

Geden, M., Smith, A., Campbell, J., Amos-Binks, A., Mott, B., Feng, J., & Lester, J. (2018, March 16). PROCEEDINGS OF THE TECHNOLOGY, MIND, AND SOCIETY CONFERENCE (TECHMINDSOCIETY'18).

Enhancing Student Models in Game-based Learning with Facial Expression Recognition

Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. (2017, July 7). UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, pp. 192–201.

Is More Agency Better? The Impact of Student Agency on Game-Based Learning

In Lecture Notes in Computer Science: Vol. 10331 LNAI (pp. 335–346).

Drawing and Writing in Digital Science Notebooks: Sources of Formative Assessment Data

Journal of Science Education and Technology, 25(3), 474–488.

Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment

In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems (Vol. 0684, pp. 165–175).

Integrating real-time drawing and writing diagnostic models: An evidence-centered design framework for multimodal science assessment

Intelligent tutoring systems, its 2016, 0684, 165–175.

Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning

In Lecture Notes in Computer Science (Vol. 9146, pp. 216–227).

Two Modes are Better Than One: a Multimodal Assessment Framework Integrating Student Writing and Drawing

Leeman-Munk, S., Smith, A., Mott, B., Wiebe, E., & Lester, J. (2015, January 1). Lecture Notes in Computer Science, Vol. 9112, pp. 205–215.

A glove for tapping and discrete 1D/2D input

Miller, S., Smith, A., Bahram, S., & Amant, R. S. (2012, February 14). International Conference on Intelligent User Interfaces, Proceedings IUI, pp. 101–104.

P-methylstyrene

Polymer Data Handbook, 688–695.

Statistical properties of fitted estimates of apparent in vivo metabolic constants obtained from gas uptake data. I. Lipophilic and slowly metabolized VOCs

Inhalation Toxicology, 10(5), 383–409.

Diagrammatic student models: Modeling student drawing performance with deep learning

Smith, A., Min, W., Mott, B. W., & Lester, J. C. User modeling, adaptation and personalization, 9146, 216–227.

Is more agency better? The impact of student agency on game-based learning

Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. Artificial intelligence in education, aied 2017, 10331, 335–346.