CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines. - Bita Akram; Usman R. Alim; Faramarz F. Samavati (ISVC (1), 2015)

Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics. - Bita Akram; Wookhee Min; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (EDM, 2018)

Infusing computational thinking into middle grade science classrooms: lessons learned. - Veronica Cateté; Nicholas Lytle; Yihuan Dong; Danielle Boulden; Bita Akram; Jennifer Houchins; Tiffany Barnes; Eric N. Wiebe; James C. Lester; Bradford W. Mott; Kristy Elizabeth Boyer (WiPSCE, 2018)

CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students. - Nicholas Lytle; Veronica Cateté; Yihuan Dong; Danielle Boulden; Bita Akram; Jennifer Houchins; Tiffany Barnes; Eric N. Wiebe (CompEd, 2019)

Assessing Middle School Students' Computational Thinking Through Programming Trajectory Analysis. - Bita Akram; Wookhee Min; Eric N. Wiebe; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (SIGCSE, 2019)

Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay. - Wookhee Min; Bradford W. Mott; Kyungjin Park; Sandra Taylor; Bita Akram; Eric N. Wiebe; Kristy Elizabeth Boyer; James C. Lester (CoG, 2020)

Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression. - Bita Akram; Hamoon Azizsoltani; Wookhee Min; Eric N. Wiebe; Bradford W. Mott; Anam Navied; Kristy Elizabeth Boyer; James C. Lester (EDM, 2020)

A Data-Driven Approach to Automatically Assessing Concept-Level CS Competencies Based on Student Programs. - Bita Akram; Hamoon Azizolsoltani; Wookhee Min; Eric N. Wiebe; Anam Navied; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (CSEDM@EDM, 2020)

A Conceptual Assessment Framework for K-12 Computer Science Rubric Design. - Bita Akram; Wookhee Min; Eric N. Wiebe; Anam Navied; Bradford W. Mott; Kristy Elizabeth Boyer; James C. Lester (SIGCSE, 2020)

Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study (Work in Progress). - Spencer Yoder; Cansu Tatar; Ifeoluwa Aderemi; Sankalp Boorugu; Shiyan Jiang; Bita Akram (EDM (Workshops), 2021)

Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms. - Bita Akram; Spencer Yoder; Cansu Tatar; Sankalp Boorugu; Ifeoluwa Aderemi; Shiyan Jiang (AAAI, 2022)

6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Bita Akram; Thomas W. Price; Yang Shi 004; Peter Brusilovsky; Sharon I-Han Hsiao (EDM, 2022)

Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science. - Cynthia Hunt; Spencer Yoder; Taylor Comment; Thomas W. Price; Bita Akram; Lina Battestilli; Tiffany Barnes; Susan R. Fisk (ICER (1), 2022)

Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. - Bita Akram; Susan R. Fisk; Spencer Yoder; Cynthia Hunt; Thomas W. Price; Lina Battestilli; Tiffany Barnes (ITiCSE (1), 2022)

Automating Personalized Feedback to Improve Students' Persistence in Computing. - Susan R. Fisk; Cynthia Hunt; Lina Battestilli; Bita Akram; Tiffany Barnes; Thomas W. Price; Spencer Yoder (SIGCSE (2), 2022)

Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. - Wengran Wang; Audrey Le Meur; Mahesh Bobbadi; Bita Akram; Tiffany Barnes; Chris Martens 001; Thomas W. Price (SIGCSE (1), 2022)

Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. - Samiha Marwan; Bita Akram; Tiffany Barnes; Thomas W. Price (IEEE Trans. Learn. Technol., 2022)

Detecting ChatGPT-Generated Code in a CS1 Course. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Bita Akram (LLM@AIED, 2023)

SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. - Muntasir Hoq; Sushanth Reddy Chilla; Melika Ahmadi Ranjbar; Peter Brusilovsky; Bita Akram (CIKM, 2023)

Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. - Muntasir Hoq; Peter Brusilovsky; Bita Akram (EDM, 2023)

Investigation of Students' Learning, Interest, and Career Aspirations in an Integrated Science and Artificial Intelligence Learning Environment (i-SAIL). - Bita Akram; Shiyan Jiang (ICER (2), 2023)

Analysis of Students' Problem-Solving Behavior when Using Copilot for Open-Ended Programming Projects. - Bita Akram; Ahmed Magooda (ICER (2), 2023)

Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis. - Rachel Harred; Tiffany Barnes; Susan R. Fisk; Bita Akram; Thomas W. Price; Spencer Yoder (SIGCSE (1), 2023)

Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. - Anurata Prabha Hridi; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (AAAI Spring Symposia, 2024)

8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Yang Shi 004; Peter Brusilovsky; Bita Akram; Thomas W. Price; Juho Leinonen 001; Kenneth R. Koedinger; Andrew S. Lan (EDM, 2024)

Automated Identification of Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Bita Akram; Peter Brusilovsky (CSEDM@EDM, 2024)

AI in Computing Education from Research to Practice. - Bita Akram; Juho Leinonen 001; Narges Norouzi; James Prather; Lisa Zhang (SIGCSE (2), 2024)

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Thomas W. Price; Bita Akram (SIGCSE (1), 2024)

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. - Muntasir Hoq; Jessica Vandenberg; Bradford W. Mott; James C. Lester; Narges Norouzi; Bita Akram (SIGCSE (2), 2024)

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. - Rose Niousha; Muntasir Hoq; Bita Akram; Narges Norouzi (SIGCSE (2), 2024)

9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Bita Akram; Yang Shi 004; Peter Brusilovsky; Thomas W. Price; Ken Koedinger; Paulo Carvalho 004; Shan Zhang 003; Andrew S. Lan; Juho Leinonen 001 (EDM, 2025)

Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. - Muntasir Hoq; Ananya Rao; Reisha Jaishankar; Krish Piryani; Nithya Janapati; Jessica Vandenberg; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (EDM, 2025)

Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. - Anurata Prabha Hridi; Muntasir Hoq; Zhikai Gao; Collin Lynch; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (EDM, 2025)

An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Peter Brusilovsky; Bita Akram (SIGCSE (1), 2025)

LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. - Rose Niousha; Abigail O'Neill; Ethan Chen; Vedansh Malhotra; Bita Akram; Narges Norouzi (SIGCSE (2), 2025)

The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. - Maryam Ebrahimi; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (CoRR, 2025)

Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems. - Zhangqi Duan; Nigel Fernandez; Sri Kanakadandi; Bita Akram; Andrew S. Lan (CoRR, 2025)

Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms. - Muntasir Hoq; Jessica Vandenberg; Shuyin Jiao; Seung Y. Lee; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (CoRR, 2025)

Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning. - Muntasir Hoq; Griffin Pitts; Andrew S. Lan; Peter Brusilovsky; Bita Akram (CoRR, 2025)