Bita Akram

50 papers A* 1A 3B 8C 1Journal 10Unranked 26
YearRankTypeTitle / Venue / Authors
2026 — conf
Automated Program Repair of Uncompilable Student Code.
SIGCSE (2)
Griffin Pitts, Aum Pandya, Darsh Rank, Muntasir Hoq, Tirth Bhatt, Bita Akram
2026 — conf
INSIGHT: An Explainable, Instructor-Guided AI Assistant for Active Learning in CS1.
SIGCSE (2)
Muntasir Hoq, Jessica Vandenberg, Seung Y. Lee, Bradford W. Mott, James C. Lester, Narges Norouzi, Shuyin Jiao, Bita Akram
2026 — conf
Knowledge Component-Driven Alignment of CS1 Textbooks and Exercises.
SIGCSE (2)
Samantha Smith, Arun-Balajiee Lekshmi-Narayanan, Anurata Prabha Hridi, Rafaella Sampaio de Alencar, Bita Akram, Arto Hellas, Juho Leinonen, Peter Brusilovsky, Narges Norouzi
2026 — conf
Leveraging an LLM-Driven Feedback System to Support Computational Thinking and AI-Integrated STEM Learning.
SIGCSE (2)
Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram
2025 B conf
9th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen
2025 — conf
Adaptive Learning Curve Analytics with LLM-KC Identifiers for Knowledge Component Refinement.
UKICER
Jing Fan, Tsvetomila Mihaylova, Bita Akram, Narges Norouzi, Peter Brusilovsky, Arto Hellas, Juho Leinonen
2025 — conf
An Automated Approach to Recommending Relevant Worked Examples for Programming Problems.
SIGCSE (1)
Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky, Bita Akram
2025 B conf
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions.
EDM
Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram
2025 J jnl
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions.
CoRR
Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram
2025 J jnl
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems.
CoRR
Zhangqi Duan, Nigel Fernandez, Sri Kanakadandi, Bita Akram, Andrew S. Lan
2025 J jnl
Automated Program Repair of Uncompilable Student Code.
CoRR
Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram
2025 J jnl
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges.
CoRR
Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
2025 J jnl
Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges.
Frontiers Artif. Intell.
Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
2025 J jnl
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms.
CoRR
Muntasir Hoq, Jessica Vandenberg, Shuyin Jiao, Seung Y. Lee, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram
2025 — conf
LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components.
SIGCSE (2)
Rose Niousha, Abigail O'Neill, Ethan Chen, Vedansh Malhotra, Bita Akram, Narges Norouzi
2025 J jnl
Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning.
CoRR
Muntasir Hoq, Griffin Pitts, Andrew S. Lan, Peter Brusilovsky, Bita Akram
2025 B conf
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning.
EDM
Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025 J jnl
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning.
CoRR
Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025 J jnl
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions.
CoRR
Maryam Ebrahimi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2024 B conf
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan
2024 — conf
AI in Computing Education from Research to Practice.
SIGCSE (2)
Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang
2024 — conf
Automated Identification of Relevant Worked Examples for Programming Problems.
CSEDM@EDM
Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky
2024 — conf
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models.
SIGCSE (1)
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram
2024 — ed.
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.
CSEDM@EDM
Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan
2024 — conf
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems.
AAAI Spring Symposia
Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2024 — conf
Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses.
SIGCSE (2)
Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram
2024 — conf
Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises.
SIGCSE (2)
Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi
2023 — conf
Analysis of Students' Problem-Solving Behavior when Using Copilot for Open-Ended Programming Projects.
ICER (2)
Bita Akram, Ahmed Magooda
2023 B conf
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course.
EDM
Muntasir Hoq, Peter Brusilovsky, Bita Akram
2023 — conf
Detecting ChatGPT-Generated Code in a CS1 Course.
LLM@AIED
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram
2023 — conf
Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis.
SIGCSE (1)
Rachel Harred, Tiffany Barnes, Susan R. Fisk, Bita Akram, Thomas W. Price, Spencer Yoder
2023 — conf
Investigation of Students' Learning, Interest, and Career Aspirations in an Integrated Science and Artificial Intelligence Learning Environment (i-SAIL).
ICER (2)
Bita Akram, Shiyan Jiang
2023 A conf
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction.
CIKM
Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram
2022 B conf
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao
2022 J jnl
Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation.
IEEE Trans. Learn. Technol.
Samiha Marwan, Bita Akram, Tiffany Barnes, Thomas W. Price
2022 — conf
Automating Personalized Feedback to Improve Students' Persistence in Computing.
SIGCSE (2)
Susan R. Fisk, Cynthia Hunt, Lina Battestilli, Bita Akram, Tiffany Barnes, Thomas W. Price, Spencer Yoder
2022 — conf
Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming.
SIGCSE (1)
Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, Thomas W. Price
2022 — conf
Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science.
ICER (1)
Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli, Tiffany Barnes, Susan R. Fisk
2022 — conf
Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention.
ITiCSE (1)
Bita Akram, Susan R. Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price, Lina Battestilli, Tiffany Barnes
2022 A* conf
Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms.
AAAI
Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang
2021 — conf
Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study (Work in Progress).
EDM (Workshops)
Spencer Yoder, Cansu Tatar, Ifeoluwa Aderemi, Sankalp Boorugu, Shiyan Jiang, Bita Akram
2020 A conf
A Conceptual Assessment Framework for K-12 Computer Science Rubric Design.
SIGCSE
Bita Akram, Wookhee Min, Eric N. Wiebe, Anam Navied, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester
2020 — conf
A Data-Driven Approach to Automatically Assessing Concept-Level CS Competencies Based on Student Programs.
CSEDM@EDM
Bita Akram, Hamoon Azizolsoltani, Wookhee Min, Eric N. Wiebe, Anam Navied, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester
2020 B conf
Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression.
EDM
Bita Akram, Hamoon Azizsoltani, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Anam Navied, Kristy Elizabeth Boyer, James C. Lester
2020 C conf
Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay.
CoG
Wookhee Min, Bradford W. Mott, Kyungjin Park, Sandra Taylor, Bita Akram, Eric N. Wiebe, Kristy Elizabeth Boyer, James C. Lester
2019 A conf
Assessing Middle School Students' Computational Thinking Through Programming Trajectory Analysis.
SIGCSE
Bita Akram, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester
2019 — conf
CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students.
CompEd
Nicholas Lytle, Veronica Cateté, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric N. Wiebe
2018 B conf
Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics.
EDM
Bita Akram, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester
2018 — conf
Infusing computational thinking into middle grade science classrooms: lessons learned.
WiPSCE
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
2015 — conf
CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines.
ISVC (1)
Bita Akram, Usman R. Alim, Faramarz F. Samavati