Works (4)
Updated: July 5th, 2023 15:39
2017 article
Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors
PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17), pp. 127–135.
Event: at New York, NY, USA
TL;DR:
This work explores how and why students seek and avoid help when programming, and how this process differs when the help is provided by a human or a computer, through a qualitative analysis of 15 students' interviews.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018
2017 journal article
Understanding problem solving behavior of 6-8 graders in a debugging game
COMPUTER SCIENCE EDUCATION, 27(1), 1–29.
author keywords: Debugging; K-12; educational games; computational thinking
TL;DR:
It was found that in the authors' programming game, debugging required deeper understanding than writing new codes, and problem solving behaviors were significantly correlated with students’ self-explanation quality, number of code edits, and prior programming experience.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2016 article
Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 347–353.
author keywords: Worked examples; Data-driven tutor; Problem solving
TL;DR:
The results show that worked examples benefits students early in tutoring sessions, but are comparable to hint-based systems for scaffolding domain concepts, which can decrease performance for lower-proficiency students.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2015 article
Building Compiler-Student Friendship
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 844–847.
TL;DR:
It is hypothesized that a good compiler-student relationship will change students’ attitude, self-efficacy and motivation towards programming, as well as change students compilation behaviors.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
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