Evidence map›Paper›PMID 40901815›Full record

ArticlePloS one2025

Start learning coding without computers? A case study on children's unplugged gamified coding education tool with explanatory sequential mixed method.

Miao Huang, Lei Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

2 authors.

Miao HuangSchool of Animation and Digital Arts, Communication University of China, Nanjing, China.
Lei WangSchool of Animation and Digital Arts, Communication University of China, Nanjing, China.ORCID https://orcid.org/0000-0002-0663-5870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Instruction in coding for children has emerged as a significant means of fostering computational thinking, with gamification serving a crucial reinforcing function in this educational process. This experimental study integrates four principal gamification elements-role-playing, rewards, challenges, and cooperation-into unplugged children's coding education tools to examine their impacts on children's flow experience and learning engagement. Under the theoretical framework of Stimulus-Organism-Response (S-O-R), researchers developed an unplugged coding education prototype named "Coding Adventure," employing an explanatory sequential mixed-methods approach with 295 Chinese elementary students (aged 8-10 years). Subsequent qualitative interviews were conducted with 12 stratified participants. Empirical findings demonstrate that role-playing and cooperation effectively enhance children's flow experience when engaging in coding education tools. Children role-play heroes and engage in "real fights," engage in teamwork and communicate with others, which can bring them into a flow experience. The flow experience effectively enhances children's learning engagement. The main reasons are the immersion, upgrade experience, practicality, goal-orientedness, teamwork and partner's suggestions brought by gamification elements. Moreover, rewards and cooperation also directly positively influence children's learning engagement. Intrinsic and extrinsic rewards, engagement in teamwork and receiving encouragement and suggestions from interactions with classmates are thought to increase children's motivation to learn. This study examined the effects of diverse gamification elements on children's flow experience and learning engagement in an unplugged gamified coding education tool under the framework of the S-O-R theory. Additionally, this study demonstrated important practical implications by providing developers of coding education tools with a clear path to enhancing participants' sense of immersion and achievement.

Indexed as

LearningChildComputersFemaleHumansMale

Identifiers

PMID40901815
PMCPMC12407412

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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.