Bita Akram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Automated Knowledge Component Generation and Interpretable Knowledge Tracing in Coding Problems. | Zhangqi Duan, Nigel Fernandez, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rafaella Sampaio de Alencar, Peter Brusilovsky, Bita Akram, Andrew Lan |
| 2026 | AIED | An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration. | Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram |
| 2026 | AIED | The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness. | Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, Narges Norouzi |
| 2026 | AIED | Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students. | Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer L. Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang, Bita Akram |
| 2026 | SIGCSE | INSIGHT: An Explainable, Instructor-Guided AI Assistant for Active Learning in CS1. | Muntasir Hoq, Jessica Vandenberg, Seung Y. Lee, Bradford W. Mott, James C. Lester, Narges Norouzi, Shuyin Jiao, Bita Akram |
| 2026 | SIGCSE | Automated Program Repair of Uncompilable Student Code. | Griffin Pitts, Aum Pandya, Darsh Rank, Muntasir Hoq, Tirth Bhatt, Bita Akram |
| 2026 | SIGCSE | Leveraging an LLM-Driven Feedback System to Support Computational Thinking and AI-Integrated STEM Learning. | Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram |
| 2026 | SIGCSE | Knowledge Component-Driven Alignment of CS1 Textbooks and Exercises. | Samantha Boatright Smith, Arun Balajiee Lekshmi Narayanan, Anurata Prabha Hridi, Rafaella Sampaio de Alencar, Bita Akram, Arto Hellas, Juho Leinonen, Peter Brusilovsky, Narges Norouzi |
| 2025 | EDM | 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. | Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen |
| 2025 | EDM | Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming Classrooms. | Muntasir Hoq, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Narges Norouzi, James C. Lester, Bita Akram |
| 2025 | EDM | 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 |
| 2025 | EDM | 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 |
| 2025 | EDM | Example Explorers and Persistent Finishers: Exploring Student Practice Behaviors in a Python Practice System. | Allison Poh, Anurata Prabha Hridi, Jordan Barria-Pineda, Peter Brusilovsky, Bita Akram |
| 2025 | EDM | Leveraging Large Language Models to Promote AI-Infused STEM Problem-Solving for Middle School Students. | Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram |
| 2025 | SIGCSE | An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. | Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Peter Brusilovsky, Bita Akram |
| 2025 | SIGCSE | LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. | Rose Niousha, Abigail O'Neill, Ethan Chen, Vedansh Malhotra, Bita Akram, Narges Norouzi |
| 2024 | EDM | 8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. | Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan |
| 2024 | EDM | Automated Identification of Relevant Worked Examples for Programming Problems. | Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky |
| 2024 | SIGCSE | AI in Computing Education from Research to Practice. | Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang |
| 2024 | SIGCSE | Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. | Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram |
| 2024 | SIGCSE | Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. | Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram |
| 2024 | SIGCSE | Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. | Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi |
| 2023 | AIED | Detecting ChatGPT-Generated Code in a CS1 Course. | Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram |
| 2023 | CIKM | SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. | Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram |
| 2023 | EDM | Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. | Muntasir Hoq, Peter Brusilovsky, Bita Akram |
| 2023 | ICER | Investigation of Students' Learning, Interest, and Career Aspirations in an Integrated Science and Artificial Intelligence Learning Environment (i-SAIL). | Bita Akram, Shiyan Jiang |
| 2023 | ICER | Analysis of Students' Problem-Solving Behavior when Using Copilot for Open-Ended Programming Projects. | Bita Akram, Ahmed Magooda |
| 2023 | SIGCSE | 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 |
| 2022 | AAAI | Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms. | Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang |
| 2022 | EDM | 6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. | Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao |
| 2022 | ICER | 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 |
| 2022 | ITiCSE | 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 |
| 2022 | SIGCSE | 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 |
| 2022 | SIGCSE | 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, Thomas W. Price |
| 2021 | EDM | 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 |
| 2020 | EDM | 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 |
| 2020 | EDM | 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 |
| 2020 | SIGCSE | 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 |
| 2019 | SIGCSE | 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 |
| 2018 | EDM | 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 |
| 2015 | ISVC | CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines. | Bita Akram, Usman R. Alim, Faramarz F. Samavati |