Bita Akram

According to our database, Bita Akram authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises.

Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

AI in Computing Education from Research to Practice.

Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Automated Identification of Relevant Worked Examples for Programming Problems.

Muntasir Hoq, Atharva Patil, Kamil Akhuseyinoglu, Bita Akram, Peter Brusilovsky

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

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

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Analysis of Students' Problem-Solving Behavior when Using Copilot for Open-Ended Programming Projects.

Bita Akram, Ahmed Magooda

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Investigation of Students' Learning, Interest, and Career Aspirations in an Integrated Science and Artificial Intelligence Learning Environment (i-SAIL).

Bita Akram, Shiyan Jiang

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course.

Muntasir Hoq, Peter Brusilovsky, Bita Akram

Proceedings of the 16th International Conference on Educational Data Mining, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Detecting ChatGPT-Generated Code in a CS1 Course.

Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram

Proceedings of the Workshop on Empowering Education with LLMs, 2023

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

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

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 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

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 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

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 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

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

6th Educational Data Mining in Computer Science Education (CSEDM) Workshop.

Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms.

Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

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

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 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

Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 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

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Proceedings of the IEEE Conference on Games, 2020

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

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

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

Proceedings of the ACM Conference on Global Computing Education, 2019

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

Proceedings of the 13th Workshop in Primary and Secondary Computing Education, 2018

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

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2015

CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines.

Bita Akram, Usman R. Alim, Faramarz F. Samavati

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015