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.

By: T. Price n, Z. Liu n, V. Catete n & T. Barnes n

Contributors: T. Price n, Z. Liu n, V. Catete n & T. Barnes n

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, 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.

By: Z. Liu n, R. Zhi n, A. Hicks n & T. Barnes n

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, ORCID
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.

By: Z. Liu n, B. Mostafavi n & T. Barnes n

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.

By: Z. Liu n & T. Barnes n

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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