Evidence map›Paper›PMID 36210910›Full record

ArticleEducation and information technologies2023

Coding peekaboom: a gaming mechanism for harvesting programming concepts.

Yi-Ling Lin, Shih-Yi Chien, Wei-Cheng Su, Sharon Ihan Hsiao

Abstract read
In one paragraph

Article in Education and information technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi-Ling LinDepartment of Management Information Systems, National Chengchi University, No .64, Sec. 2, ZhiNan Rd., Wenshan District, 11605 Taipei City, Taiwan.
Shih-Yi ChienDepartment of Management Information Systems, National Chengchi University, No .64, Sec. 2, ZhiNan Rd., Wenshan District, 11605 Taipei City, Taiwan.ORCID 0000-0002-1713-6743
Wei-Cheng SuDepartment of Information Management, National Sun Yat-Sen University, No. 70, Lienhai Rd, 80424 Kaohsiung, Taiwan.
Sharon Ihan HsiaoDepartment of Computer Science and Engineering, Santa Clara University, 500 El Camino Real, 95053 Santa Clara, CA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are plentiful online programming resources that enable learners to develop an understanding of conceptual knowledge and practical implementation. However, learners, especially novices, often experience difficulties locating the required information to solve the programming problems. Differ from natural language in syntax and convention, answers for programming languages may not be found just by simple text information retrieval. To address this issue, Coding Peekaboom, a game-based tagging was developed to help adequately index the critical concepts of a code segment. An EEG device was applied to measure participants' mental states to identify their engagement during the gameplay. Study results include the effectiveness of appropriate concepts collected by participants whereas 47.15 concepts were collected on average in a game. The brainwave analysis and the questionnaire results reveal that participants were highly engaged in the tagging task via Coding Peekaboom. Correlations were found between the state of flow and the number of concepts selected, score, and time. Finally, the results of the flow theory and personal traits were reported to reflect the user experiences in the game.

Indexed as

EEGEngagementFlow theoryGamificationProgramming concepts

Identifiers

PMID36210910
PMCPMC9530413

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.