Samiha Marwan

According to our database, Samiha Marwan authored at least 30 papers between 2015 and 2023.

Collaborative distances:

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

2023

iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-Based Programming.

Samiha Marwan, Thomas W. Price

IEEE Trans. Learn. Technol., June, 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

A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response.

Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes

CoRR, 2022

Towards Giving Timely Formative Feedback and Hints to Novice Programmers.

Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa

Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them.

Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa

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

2021

Early Performance Prediction using Interpretable Patterns in Programming Process Data.

Ge Gao, Samiha Marwan, Thomas W. Price

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Exploring Design Choices in Data-driven Hints for Python Programming Homework.

Thomas W. Price, Samiha Marwan, Joseph Jay Williams

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Toward Semi-Automatic Misconception Discovery Using Code Embeddings.

Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Promoting Students' Progress-Monitoring Behavior during Block-Based Programming.

Samiha Marwan, Preya Shabrina, Alex Milliken, Ian Menezes, Veronica Cateté, Thomas W. Price, Tiffany Barnes

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

You Really Need Help: Exploring Expert Reasons for Intervention During Block-based Programming Assignments.

Yihuan Dong, Preya Shabrina, Samiha Marwan, Tiffany Barnes

Proceedings of the ICER 2021: ACM Conference on International Computing Education Research, 2021

Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.

Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks.

Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving.

Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback.

Wengran Wang, Yudong Rao, Rui Zhi, Samiha Marwan, Ge Gao, Thomas W. Price

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Unproductive Help-seeking in Programming: What it is and How to Address it.

Samiha Marwan, Anay Dombe, Thomas W. Price

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science.

Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Investigating Best Practices in the Design of Automated Feedback to Improve Students' Performance and Learning.

Samiha Marwan

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond.

Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes

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

Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices.

Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes

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

What Time is It? Student Modeling Needs to Know.

Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi

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

Engaging Students with Instructor Solutions in Online Programming Homework.

Thomas W. Price, Joseph Jay Williams, Jaemarie Solyst, Samiha Marwan

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

An Evaluation of Data-Driven Programming Hints in a Classroom Setting.

Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Exploring the Impact of Worked Examples in a Novice Programming Environment.

Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi

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

Defining Tinkering Behavior in Open-ended Block-based Programming Assignments.

Yihuan Dong, Samiha Marwan, Veronica Cateté, Thomas W. Price, Tiffany Barnes

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

The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment.

Samiha Marwan, Nicholas Lytle, Joseph Jay Williams, Thomas W. Price

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

An Evaluation of the Impact of Automated Programming Hints on Performance and Learning.

Samiha Marwan, Joseph Jay Williams, Thomas W. Price

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Toward Data-Driven Example Feedback for Novice Programming.

Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2017

Utilizing DNA Strands for Secured Data-Hiding with High Capacity.

Samiha Marwan, Ahmed Shawish, Khaled Ahmed Nagaty

Int. J. Interact. Mob. Technol., 2017

2016

DNA-based cryptographic methods for data hiding in DNA media.

Samiha Marwan, Ahmed Shawish, Khaled Ahmed Nagaty

Biosyst., 2016

2015

An Enhanced DNA-based Steganography Technique with a Higher Hiding Capacity.

Samiha Marwan, Ahmed Shawish, Khaled Ahmed Nagaty

Proceedings of the BIOINFORMATICS 2015, 2015