Uncovering students’ problem-solving processes in game-based learning environments

Liu, Tongxi; Israel, Maya

doi:10.1016/j.compedu.2022.104462

Cited by 39 publications

(13 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Numerical literacy also includes the ability to translate quantitative information that is around us (Sunderaraman et al, 2020). Model proses problem solving bukan hanya pada tataran eksperimen namun menjadi system intelligent sessua kebutuhan pendidikan lebih luas (Koike et al, 2020, Pejić & Molcer, 2021, Sun et al, 2022 or living lav (Choi et al, 2021), and game-based learning environments (Liu & Israel, 2022).…”

Section: ▪ Results and Disscussionmentioning

confidence: 99%

The Effect of Numerical Literacy Activities in Problem Based Learning Environment toward Mathematical Reasoning Ability of Elementary School Students

Nurbaya

Sukmawati²,

Rukli

2022

JPMIPA

View full text Add to dashboard Cite

21st-century competence demands that students can reason according to current conditions that are relevant and accurate. Still, learning in the classroom uses a learning model that often does not support students' reasoning. This study aims for differences in students' mathematical reasoning abilities after being taught using an integrated problem-based learning model of numeracy literacy activities with students' mathematical reasoning abilities using a problem-based learning model. This type of research is quasi-experimental design. The population is all grade IV elementary school students, Takalar. The sampling technique is cluster random sampling. The instrument uses a reasoning test. The results showed a difference in mathematical reasoning ability between students taught with an integrated problem-based learning model of numeracy literacy activities and students trained with problem-based learning. Teachers can improve students' reasoning power by using a problem-based learning model integrated with numeracy literacy activities

show abstract

Section: ▪ Results and Disscussionmentioning

confidence: 99%

The Effect of Numerical Literacy Activities in Problem Based Learning Environment toward Mathematical Reasoning Ability of Elementary School Students

Nurbaya

Sukmawati²,

Rukli

2022

JPMIPA

View full text Add to dashboard Cite

show abstract

“…Regarding the affective aspect, some scholars have found that game-based learning can help improve learners’ learning motivation (e.g., Bai et al, 2020; Höyng, 2022; Liu et al, 2023). Regarding skills, some scholars deemed that game-based learning may improve learners’ problem-solving skills (e.g., (Liu & Israel, 2022). When solving problems, learners use cognition and relevant skills to reach the game goal and cultivate relevant knowledge.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Recent research has focused on how games enhance students’ basic programming concepts (Demİrkiran & Tansu Hocanin, 2021; Ke, 2014; Ouahbi et al, 2015) and problem-solving abilities (Liu & Israel, 2022). The game-based learning strategy may allow learners to design game levels and interesting and fantasy backgrounds to feel the people, things, or interesting content in the scene.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of a Programming Course Using the GAME Model on Undergraduates’ Self-Efficacy and Basic Programming Concepts

Tsai,

Chen,

Hsieh

et al. 2023

Journal of Educational Computing Research

View full text Add to dashboard Cite

In higher education, it is challenging to cultivate non-computer science majors’ programming concepts. This study used the GAME model (gamification, assessment, modeling, and enquiry) in a programming education course to enhance undergraduates’ self-efficacy and performance of basic programming concepts. There were 83 undergraduates taking part in this study, which adopted a quasi-experimental research design. Students in the experimental group ( n = 43) experienced a course in which the GAME model was used to design the block-based programming course. The control group ( n = 40) was given a general information education course covering similar learning concepts without the game-based learning strategy. The analysis of covariance (ANCOVA) was adopted to investigate the effect of the GAME model on students’ learning outcomes for the quantitative data. In the qualitative analysis, students’ responses to the course perception questionnaire were coded and analyzed. The results showed that students in the experimental group outperformed their counterparts regarding self-efficacy and basic programming concepts. The experimental treatment resulted in a small to medium effect size difference between the two groups. The results showed that incorporating the GAME model into block-based programming teaching helped improve undergraduates’ self-efficacy and performance of basic programming concepts. In addition, these experimental group undergraduates also perceived the pedagogic GAME model positively. Several research suggestions are proposed based on the findings of the present study.

show abstract

“…All coded features in the gameplay logs are presented in Table 3. To build a model, we utilized these game log-based data features that were deployed and reported in prior research (Asbell-Clarke et al, 2021;Liu & Israel, 2022;Rowe et al, 2021).…”

Section: Gameplay Logsmentioning

confidence: 99%

Multimodal Data Fusion to Track Students’ Distress during Educational Gameplay

Moon

Sokolikj

et al. 2022

Learning Analytics

View full text Add to dashboard Cite

Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students’ audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay data from multiple data sources, such as individual facial expression recordings and gameplay logs. Using supervised machine learning, we built and tested candidate classifiers that yielded an estimated probability of distress states. We then conducted confidence-based data fusion that averaged the estimated probability scores from the unimodal classifiers with a single data source. The results of this study suggest that the classifier with multimodal data fusion improves the performance of tracking distress states during educational gameplay, compared to the performance of unimodal classifiers. The study finding suggests the feasibility of multimodal data fusion in developing game-based learning analytics. Also, this study proposes the benefits of optimizing several methodological means for multimodal data fusion in educational game research.

show abstract

Uncovering students’ problem-solving processes in game-based learning environments

Cited by 39 publications

References 48 publications

The Effect of Numerical Literacy Activities in Problem Based Learning Environment toward Mathematical Reasoning Ability of Elementary School Students

The Effect of Numerical Literacy Activities in Problem Based Learning Environment toward Mathematical Reasoning Ability of Elementary School Students

Effects of a Programming Course Using the GAME Model on Undergraduates’ Self-Efficacy and Basic Programming Concepts

Multimodal Data Fusion to Track Students’ Distress during Educational Gameplay

Contact Info

Product

Resources

About