Samiha Marwan

College of Engineering

Works (5)

Updated: August 5th, 2023 05:00

2023 journal article

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

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 16(3), 399–413.

By: S. Marwan n & T. Price n 

author keywords: Block-based programming; data-driven hints; next-step hints
TL;DR: Improvements to iSnap are described, including its “enhanced” next-step hints with three design features: textual explanations, self-explanation prompts, and an adaptive hint display, which found students who received the enhanced hints perform better on in-class assignments and have higher programming efficiency in homework assignments than those who did not receive hints. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 22, 2022

2022 journal article

Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 406–420.

By: S. Marwan n, B. Akram n, T. Barnes n & T. Price n 

author keywords: Programming; Task analysis; Codes; Uncertainty; Programming environments; Adaptive systems; Real-time systems; Adaptive feedback; block-based programming; formative feedback; subgoals feedback
TL;DR: This article presents the adaptive immediate feedback (AIF) system, which uses a hybrid data-driven feedback generation algorithm to provide students with information on their progress, code correctness, and potential errors, as well as encouragement in the middle of programming. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 10, 2022

2021 article

Toward Semi-Automatic Misconception Discovery Using Code Embeddings

LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 606–612.

By: Y. Shi n , K. Shah n, W. Wang  n, S. Marwan n, P. Penmetsa n & T. Price n 

Contributors: Y. Shi n , K. Shah n, W. Wang  n, S. Marwan n, P. Penmetsa n & T. Price n 

author keywords: Neural Network; Code Analysis; Automatic Assessment; Learning Representation
TL;DR: This work presents a novel method for the semi-automated discovery of problem-specific misconceptions from students’ program code in computing courses, using a state-of-the-art code classification model. (via Semantic Scholar)
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4. Quality Education (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 21, 2021

2021 article

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

ICER 2021: PROCEEDINGS OF THE 17TH ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, pp. 334–346.

By: Y. Dong n, P. Shabrina n, S. Marwan n & T. Barnes n

author keywords: novice programming; proactive intervention; block-based environments; programming assignments; expert intervention
TL;DR: This work studied human tutors’ reasons for providing interventions during two introductory programming assignments in a block-based environment and sheds light on when and why students might need programming interventions. (via Semantic Scholar)
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4. Quality Education (Web of Science)
Source: Web Of Science
Added: April 4, 2022

2020 article

Engaging Students with Instructor Solutions in Online Programming Homework

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20).

By: T. Price n , J. Williams *, J. Solyst * & S. Marwan n

author keywords: Computing Education; Programming; Self-explanation; Comparison
TL;DR: The results suggest that these prompts can effectively engage students in reflecting on instructor solutions, although the results point to design trade-offs between the amount of effort that different prompts require from students and instructors, and their relative impact on learning. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: October 26, 2021

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