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2020 – today
- 2026
[j3]Maryam Ebrahimi, Rajeev Sahay
, Seyyedali Hosseinalipour, Bita Akram:
The Transition From Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. IEEE Trans. Learn. Technol. 19: 341-359 (2026)- [c47]Zhangqi Duan, Nigel Fernandez, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rafaella Sampaio de Alencar, Peter Brusilovsky, Bita Akram, Andrew Lan:
Automated Knowledge Component Generation and Interpretable Knowledge Tracing in Coding Problems. ACL (Findings) 2026: 33405-33423 - [c46]Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram:
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration. AIED (1) 2026: 187-201 - [c45]Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, Narges Norouzi:
The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness. AIED 2026: 384-398 - [c44]Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer L. Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang, Bita Akram:
Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students. AIED (5) 2026: 516-525 - [c43]Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram:
Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components. L@S 2026: 501-505 - [c42]Muntasir Hoq, Jessica Vandenberg, Seung Y. Lee, Bradford W. Mott, James C. Lester, Narges Norouzi, Shuyin Jiao, Bita Akram:
INSIGHT: An Explainable, Instructor-Guided AI Assistant for Active Learning in CS1. SIGCSE (2) 2026: 1363-1364 - [c41]Griffin Pitts, Aum Pandya, Darsh Rank, Muntasir Hoq, Tirth Bhatt, Bita Akram:
Automated Program Repair of Uncompilable Student Code. SIGCSE (2) 2026: 1483-1484 - [c40]Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram:
Leveraging an LLM-Driven Feedback System to Support Computational Thinking and AI-Integrated STEM Learning. SIGCSE (2) 2026: 1491-1492 - [c39]Samantha Boatright Smith, Arun Balajiee Lekshmi Narayanan, Anurata Prabha Hridi, Rafaella Sampaio de Alencar, Bita Akram, Arto Hellas, Juho Leinonen, Peter Brusilovsky, Narges Norouzi:
Knowledge Component-Driven Alignment of CS1 Textbooks and Exercises. SIGCSE (2) 2026: 1533-1534 - [i15]Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer L. Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang, Bita Akram:
Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students. CoRR abs/2604.01396 (2026) - [i14]Ali Mohammadiasl, Bita Akram, Seyyedali Hosseinalipour, Rajeev Sahay:
Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks. CoRR abs/2604.18888 (2026) - [i13]Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram:
Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components. CoRR abs/2604.24758 (2026) - [i12]Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, Narges Norouzi:
The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness. CoRR abs/2605.05648 (2026) - [i11]Mragisha Jain, Tirth Bhatt, Griffin Pitts, Aum Pandya, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram:
Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education. CoRR abs/2605.12988 (2026) - [i10]Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas, Jing Fan, Francisco Castro, Bita Akram, Narges Norouzi, Peter Brusilovsky, Juho Leinonen:
The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance. CoRR abs/2605.16933 (2026) - [i9]Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram:
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration. CoRR abs/2606.12425 (2026) - 2025
- [j2]Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour:
Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges. Frontiers Artif. Intell. 8 (2025) - [c38]Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen:
9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2025 - [c37]Muntasir Hoq, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Narges Norouzi, James C. Lester, Bita Akram:
Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming Classrooms. CSEDM@EDM 2025 - [c36]Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram:
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. EDM 2025 - [c35]Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram:
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. EDM 2025 - [c34]Allison Poh, Anurata Prabha Hridi, Jordan Barria-Pineda, Peter Brusilovsky, Bita Akram:
Example Explorers and Persistent Finishers: Exploring Student Practice Behaviors in a Python Practice System. CSEDM@EDM 2025 - [c33]Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram:
Leveraging Large Language Models to Promote AI-Infused STEM Problem-Solving for Middle School Students. CSEDM@EDM 2025 - [c32]Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky, Bita Akram:
An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. SIGCSE (1) 2025: 527-533 - [c31]Rose Niousha, Abigail O'Neill, Ethan Chen, Vedansh Malhotra, Bita Akram, Narges Norouzi:
LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. SIGCSE (2) 2025: 1557-1558 - [c30]Jing Fan, Tsvetomila Mihaylova, Bita Akram, Narges Norouzi, Peter Brusilovsky, Arto Hellas, Juho Leinonen:
Adaptive Learning Curve Analytics with LLM-KC Identifiers for Knowledge Component Refinement. UKICER 2025: 5:1-5:7 - [e2]Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen:
Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 18th Educational Data Mining Conference (EDM 2025), Palermo, Sicily, Italy, July 20, 2025. CEUR Workshop Proceedings 4019, CEUR-WS.org 2025 [contents] - [i8]Maryam Ebrahimi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram:
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. CoRR abs/2501.11714 (2025) - [i7]Zhangqi Duan, Nigel Fernandez, Sri Kanakadandi, Bita Akram, Andrew S. Lan:
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems. CoRR abs/2502.18632 (2025) - [i6]Muntasir Hoq, Jessica Vandenberg, Shuyin Jiao, Seung Y. Lee, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram:
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms. CoRR abs/2504.01259 (2025) - [i5]Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram:
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. CoRR abs/2504.10456 (2025) - [i4]Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram:
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. CoRR abs/2505.10913 (2025) - [i3]Muntasir Hoq, Griffin Pitts, Andrew S. Lan, Peter Brusilovsky, Bita Akram:
Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning. CoRR abs/2508.09281 (2025) - [i2]Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour:
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges. CoRR abs/2509.07946 (2025) - [i1]Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram:
Automated Program Repair of Uncompilable Student Code. CoRR abs/2510.06187 (2025) - 2024
- [c29]Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram:
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. AAAI Spring Symposia 2024: 297-303 - [c28]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan:
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2024 - [c27]Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky:
Automated Identification of Relevant Worked Examples for Programming Problems. CSEDM@EDM 2024 - [c26]Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram:
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. SIGCSE (1) 2024: 526-532 - [c25]Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang:
AI in Computing Education from Research to Practice. SIGCSE (2) 2024: 1521-1522 - [c24]Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram:
Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. SIGCSE (2) 2024: 1680-1681 - [c23]Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi:
Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. SIGCSE (2) 2024: 1762-1763 - [e1]Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan:
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024. CEUR Workshop Proceedings 3796, CEUR-WS.org 2024 [contents] - 2023
- [c22]Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram:
Detecting ChatGPT-Generated Code in a CS1 Course. LLM@AIED 2023: 53-63 - [c21]Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram:
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. CIKM 2023: 783-792 - [c20]Muntasir Hoq, Peter Brusilovsky, Bita Akram:
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. EDM 2023 - [c19]Bita Akram, Ahmed Magooda:
Analysis of Students' Problem-Solving Behavior when Using Copilot for Open-Ended Programming Projects. ICER (2) 2023: 32 - [c18]Bita Akram, Shiyan Jiang:
Investigation of Students' Learning, Interest, and Career Aspirations in an Integrated Science and Artificial Intelligence Learning Environment (i-SAIL). ICER (2) 2023: 33-34 - [c17]Rachel Harred, Tiffany Barnes, Susan R. Fisk, Bita Akram, Thomas W. Price, Spencer Yoder:
Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis. SIGCSE (1) 2023: 1062-1068 - 2022
- [j1]Samiha Marwan, Bita Akram, Tiffany Barnes, Thomas W. Price:
Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. IEEE Trans. Learn. Technol. 15(3): 406-420 (2022) - [c16]Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang:
Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms. AAAI 2022: 12681-12688 - [c15]Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao:
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2022 - [c14]Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli, Tiffany Barnes, Susan R. Fisk:
Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science. ICER (1) 2022: 73-83 - [c13]Bita Akram, Susan R. Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price, Lina Battestilli, Tiffany Barnes:
Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. ITiCSE (1) 2022: 526-532 - [c12]Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, Thomas W. Price:
Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. SIGCSE (1) 2022: 619-625 - [c11]Susan R. Fisk, Cynthia Hunt, Lina Battestilli, Bita Akram, Tiffany Barnes, Thomas W. Price, Spencer Yoder:
Automating Personalized Feedback to Improve Students' Persistence in Computing. SIGCSE (2) 2022: 1197 - 2021
- [c10]Spencer Yoder, Cansu Tatar, Ifeoluwa Aderemi, Sankalp Boorugu, Shiyan Jiang, Bita Akram:
Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study (Work in Progress). EDM (Workshops) 2021 - 2020
- [c9]Wookhee Min, Bradford W. Mott, Kyungjin Park, Sandra Taylor, Bita Akram, Eric N. Wiebe, Kristy Elizabeth Boyer, James C. Lester:
Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay. CoG 2020: 654-657 - [c8]Bita Akram, Hamoon Azizsoltani, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Anam Navied, Kristy Elizabeth Boyer, James C. Lester:
Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression. EDM 2020 - [c7]Bita Akram, Hamoon Azizolsoltani, Wookhee Min, Eric N. Wiebe, Anam Navied, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester:
A Data-Driven Approach to Automatically Assessing Concept-Level CS Competencies Based on Student Programs. CSEDM@EDM 2020 - [c6]Bita Akram, Wookhee Min, Eric N. Wiebe, Anam Navied, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester:
A Conceptual Assessment Framework for K-12 Computer Science Rubric Design. SIGCSE 2020: 1328
2010 – 2019
- 2019
- [c5]Nicholas Lytle, Veronica Cateté, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric N. Wiebe:
CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students. CompEd 2019: 58-64 - [c4]Bita Akram, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester:
Assessing Middle School Students' Computational Thinking Through Programming Trajectory Analysis. SIGCSE 2019: 1269 - 2018
- [c3]Bita Akram, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester:
Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics. EDM 2018 - [c2]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:
Infusing computational thinking into middle grade science classrooms: lessons learned. WiPSCE 2018: 21:1-21:6 - 2015
- [c1]Bita Akram, Usman R. Alim, Faramarz F. Samavati:
CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines. ISVC (1) 2015: 819-829
Coauthor Index
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