2023
DOI: 10.1186/s40594-023-00447-2
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Game-based learning in computer science education: a scoping literature review

Maja Videnovik,
Tone Vold,
Linda Kiønig
et al.

Abstract: Using games in education has the potential to increase students’ motivation and engagement in the learning process, gathering long-lasting practical knowledge. Expanding interest in implementing a game-based approach in computer science education highlights the need for a comprehensive overview of the literature research. This scoping review aims to provide insight into current trends and identify research gaps and potential research topics concerning game-based learning in computer science. Using standard me… Show more

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Cited by 19 publications
(5 citation statements)
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“…Analysing the research devoted to AI-based methodology in higher education, it was found that six teaching approaches are effectively applied. They include: differentiated instruction (Büyüksoy et al, 2020;Eikeland & Ohna, 2022), student-centered approach (Kerimbayev et al, 2023;Liao et al, 2021), technology-based approach (Kozlova & Pikhart, 2021;Zawacki-Richter et al, 2019), group learning (Kim et al, 2022b;Seo at al., 2021;Tan et al, 2022), game-based learning (Priyaadharshini et al, 2020;Videnovik et al, 2023), and competency-based approach (Margienė et al, 2022;Oroszi, 2020). Figure 2 shows the teaching approached in higher education with AI.…”
Section: Research Resultsmentioning
confidence: 99%
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“…Analysing the research devoted to AI-based methodology in higher education, it was found that six teaching approaches are effectively applied. They include: differentiated instruction (Büyüksoy et al, 2020;Eikeland & Ohna, 2022), student-centered approach (Kerimbayev et al, 2023;Liao et al, 2021), technology-based approach (Kozlova & Pikhart, 2021;Zawacki-Richter et al, 2019), group learning (Kim et al, 2022b;Seo at al., 2021;Tan et al, 2022), game-based learning (Priyaadharshini et al, 2020;Videnovik et al, 2023), and competency-based approach (Margienė et al, 2022;Oroszi, 2020). Figure 2 shows the teaching approached in higher education with AI.…”
Section: Research Resultsmentioning
confidence: 99%
“…Accordingly, innovative methodology is related to implementation of a number of techniques oriented towards increasing efficiency of educational process and improve students' learning outcomes. They are the following: practical exercises (Biwer et al, 2020;Yang, 2022), group activities (Eager & Brunton, 2023;Kamalov et al, 2023), games and roleplays (Priyaadharshini et al, 2020;Videnovik et al, 2023), situational tasks (Boyko et al, 2021), problem-based tasks (Wu et al, 2020). We found that the use of these teaching methods helps instructors improve teaching with AI in the institutions of higher education since they are oriented towards: Enhancing student' engagement in the classroom; maximize adaptability and flexibility of technology and learning resources; incorporation of appropriate technology-enhanced instruments; increasing of students' motivation; improvement of collaborative learning and teamwork activities; formation of critical thinking skills; development of creativity.…”
Section: Discussionmentioning
confidence: 99%
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“…Through continuous practice and experimentation, students gradually mastered various operational skills and problem-solving methods, improving their proficiency and accuracy in practical tasks. Integrating games into education has the potential to enhance students' motivation and engagement in the learning process, leading to the accumulation of enduring practical knowledge (Videnovik et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Much research attention has been focused on learning through game playing (see recent reviews by Videnovik et al, 2023 andWang et al, 2023). However, very little has been focused on student learning through game making (Dishon & Kafai, 2020), especially in science.…”
Section: Introductionmentioning
confidence: 99%