Samiha Marwan

Orcid: 0000-0001-5283-3395

According to our database1, Samiha Marwan authored at least 32 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Novices' Problem-Solving Strategies in Computing and Math Domains.
Proceedings of the 24th Koli Calling International Conference on Computing Education Research, 2024

An Approach to Detect Abnormal Submissions for CodeWorkout Dataset.
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

2023
iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-Based Programming.
IEEE Trans. Learn. Technol., June, 2023

2022
Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation.
IEEE Trans. Learn. Technol., 2022

A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response.
CoRR, 2022

Towards Giving Timely Formative Feedback and Hints to Novice Programmers.
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.
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.
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.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Toward Semi-Automatic Misconception Discovery Using Code Embeddings.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Promoting Students' Progress-Monitoring Behavior during Block-Based Programming.
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.
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.
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.
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.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020
Step Tutor: Supporting Students through Step-by-Step Example-Based Feedback.
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.
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.
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.
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.
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.
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.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Engaging Students with Instructor Solutions in Online Programming Homework.
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.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Exploring the Impact of Worked Examples in a Novice Programming Environment.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Defining Tinkering Behavior in Open-ended Block-based Programming Assignments.
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.
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.
Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Toward Data-Driven Example Feedback for Novice Programming.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2017
Utilizing DNA Strands for Secured Data-Hiding with High Capacity.
Int. J. Interact. Mob. Technol., 2017

2016
DNA-based cryptographic methods for data hiding in DNA media.
Biosyst., 2016

2015
An Enhanced DNA-based Steganography Technique with a Higher Hiding Capacity.
Proceedings of the BIOINFORMATICS 2015, 2015


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