Digital Game-Based Learning and Learning Analytics in Mathematics

Artigo2022

Izzat S. Mohd Ramli; Siti M. Maat; Fariza Khalid

0 visualizações desta ficha 0 acessos ao texto completo Contagem real do Portal desde 25/09/2026; tráfego comum, sem testes; quem desativa o rastreamento no navegador não é contado.

Resumo

The boom of the 4.0 industrial revolution and the Covid-19 pandemic have changed the teaching and learning process, where digital learning environments have become increasingly necessary and convenient. The application of game-based learning (GBL) provides many benefits, such as helping to improve the quality of the mathematics teaching and learning process. This paper describes digital GBL with the application of Learning Analytics (LA) in a primary school and how the LA approach can enhance learning with GBL. GBL allows students to have more practice in their learning, while LA allows the data on teaching and learning materials to be recorded. The recorded data allows the teachers to systematically analyze them to keep track of students' learning performance. The use of LA is also useful to researchers and game designers. This paper has also proven the importance of the cognitive load theory and its application in GBL. It allows the use of GBL-based application to present learning information to cater to students' cognitive needs. This study involved sixty-four students from a rural primary school who participated in a 10-week GBL-based intervention. The results show that digital GBL helped increase the students' achievement in mathematics. Moreover, the LA process could be used as a mathematics achievement prediction model. In this regard, data on login frequency, duration of use, and the score to predict could be used to predict the intervention's impact on mathematics achievements. The study concludes by discussing the findings and their implications towards GBL and LA-based research and practice in mathematics teaching and learning.

Dados da obra

Tipo: Artigo
Periódico: Pegem Journal of Education and Instruction
Ano: 2022
Idioma: en
Palavras-chave: Computer Games; Educational Games; Game Based Learning; Learning Analytics; Mathematics Education; Electronic Learning; Elementary School Mathematics; Elementary School Students; Cognitive Processes; Difficulty Level; Mathematics Achievement; Prediction; Mathematics Instruction; Instructional Improvement; Instructional Effectiveness; Scores
ISSN: 2146-0655
Acesso: Download disponível
Fontes: ERIC — Education Resources Information Center
Na Biblioteca desde: 01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
RAMLI, Izzat S. Mohd; MAAT, Siti M.; KHALID, Fariza. Digital Game-Based Learning and Learning Analytics in Mathematics. Pegem Journal of Education and Instruction, 2022. Disponível em: https://eric.ed.gov/?id=EJ1385660. Acesso em: 5 nov. 2026.

APA

Ramli, I. S. M., Maat, S. M., & Khalid, F. (2022). Digital Game-Based Learning and Learning Analytics in Mathematics. Pegem Journal of Education and Instruction. https://eric.ed.gov/?id=EJ1385660

BibTeX

@article{ramli2022,
  author = {Ramli, Izzat S. Mohd and Maat, Siti M. and Khalid, Fariza},
  title = {Digital Game-Based Learning and Learning Analytics in Mathematics},
  year = {2022},
  journal = {Pegem Journal of Education and Instruction},
  url = {https://eric.ed.gov/?id=EJ1385660},
  language = {en}
}

RIS

TY  - JOUR
AU  - Ramli, Izzat S. Mohd
AU  - Maat, Siti M.
AU  - Khalid, Fariza
TI  - Digital Game-Based Learning and Learning Analytics in Mathematics
PY  - 2022
JO  - Pegem Journal of Education and Instruction
UR  - https://eric.ed.gov/?id=EJ1385660
LA  - en
ER  -

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS