2017 journal article

Assessing implicit science learning in digital games

COMPUTERS IN HUMAN BEHAVIOR, 76, 617–630.

By: E. Rowe, J. Asbell-Clarke, R. Baker*, M. Eagle n, A. Hicks n, T. Barnes n, R. Brown n, T. Edwards

author keywords: Computer-based assessment; Implicit science learning; Game-based learning; Educational data mining; Learning analytics
TL;DR: Results suggest GBLA shows promise for future work such as adaptive games and in-class, data-driven formative assessments, but design of the assessment mechanics must be carefully crafted for each game. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
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, NC State University Libraries
Added: August 6, 2018

2014 conference paper

Building games to learn from their players: Generating hints in a serious game

Intelligent tutoring systems, its 2014, 8474, 312–317.

By: A. Hicks n, B. Peddycord n & T. Barnes n

TL;DR: A novel approach to modeling student states for open-ended problems, like programming in BOTS, is introduced, potentially generalizable to programming tutors for mainstream languages. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

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