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All Journal Jurnal Infinity Psikohumaniora: Jurnal Penelitian Psikologi Jurnal Infinity
Tommy Tanu Wijaya
School of Mathematical Sciences, Beijing Normal University, Beijing
Education Mathematics Public Health Social Sciences Other

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META-ANALYSIS OF COMPUTER-BASED MATHEMATICS LEARNING IN THE LAST DECADE SCOPUS DATABASE: TRENDS AND IMPLICATIONS Maximus Tamur; Sabina Ndiung; Robert Weinhandl; Tommy Tanu Wijaya; Emilianus Jehadus; Eliterius Sennen
Jurnal Infinity Vol 12 No 1 (2023): VOLUME 12, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v12i1.p101-116

Abstract

Computer-Based Mathematics Learning (CBML) has gone global in the last decade and is making a substantial impact for educational purposes. But the fact is that in the scientific literature, it is found that studies aimed at testing these theoretical assumptions have inconsistent results. In this regard, this meta-analysis was conducted to determine the effect of CBML and to analyze categorical variables to consider the implications. Data were retrieved from the Scopus database using Publish or Perish between 2010 and 2023. This study examined 29 independent samples from 28 eligible primary studies with 1179 subjects. The population estimate was based on a random effects model, and the CMA software was used as a calculation aid. The study's results provide an overall effect size of 1.03 (large effect). This indicates that applying CBML significantly affects students' mathematical abilities. The four categorical variables considered in the study are discussed to clarify research trends. Furthermore, the research implications are outlined and contribute to future CBML implementation arrangements.
META-ANALYSIS OF COMPUTER-BASED MATHEMATICS LEARNING IN THE LAST DECADE SCOPUS DATABASE: TRENDS AND IMPLICATIONS Maximus Tamur; Sabina Ndiung; Robert Weinhandl; Tommy Tanu Wijaya; Emilianus Jehadus; Eliterius Sennen
Jurnal Infinity Vol 12 No 1 (2023): VOLUME 12, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v12i1.p101-116

Abstract

Computer-Based Mathematics Learning (CBML) has gone global in the last decade and is making a substantial impact for educational purposes. But the fact is that in the scientific literature, it is found that studies aimed at testing these theoretical assumptions have inconsistent results. In this regard, this meta-analysis was conducted to determine the effect of CBML and to analyze categorical variables to consider the implications. Data were retrieved from the Scopus database using Publish or Perish between 2010 and 2023. This study examined 29 independent samples from 28 eligible primary studies with 1179 subjects. The population estimate was based on a random effects model, and the CMA software was used as a calculation aid. The study's results provide an overall effect size of 1.03 (large effect). This indicates that applying CBML significantly affects students' mathematical abilities. The four categorical variables considered in the study are discussed to clarify research trends. Furthermore, the research implications are outlined and contribute to future CBML implementation arrangements.
Construct validation of Campus Well-being Scale based on School Well-being Scale using confirmatory factor analysis among students Wening Wihartati; Ari Yuniastusti; Irwan Budiono; Yuni Wijayanti; Tommy Tanu Wijaya
Psikohumaniora: Jurnal Penelitian Psikologi Vol. 11 No. 1 (2026)
Publisher : Faculty of Psychology and Health - Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/pjpp.v11i1.28761

Abstract

School well-being in higher education is an important component that supports university students in achieving academic goals and adapting to the campus environment. However, to date, there are limited instruments available with proven validity and reliability for measuring school well-being in the campus environment for students. This study aims to obtain evidence of the validity and reliability of Campus Well-being Scale based on school well-being model. The research data involved 519 active students in the city of Semarang, recruited through purposive sampling. The respondents consisted of 74.4% (386) female students and 25.6% (133) male students, aged 18–25 and at least in their fourth semester. Confirmatory Factor Analysis (CFA) was conducted to assess the construct validity of the instrument. The second-order CFA model generated 27 items showing acceptable fit and conceptual consistency (CFI = .946, TLI = .942, RMSEA = .079, SRMR = .084). Reliability analysis showed good internal consistency, with McDonald's omega ranging from .694 to .839. These results confirm that the four-factor structure of Campus Well-being Scale: having, loving, being, and health, is both valid and reliable for assessing students’ campus well-being. After completing various stages of the development of the scale, 27 items were found to be a suitable fit. Therefore, the scale was proven to be valid and reliable for use in measuring student well-being in higher education institutions and is able to complement current educational psychology assessment instruments.
Co-Authors Ari Yuniastusti Eliterius Sennen Emilianus Jehadus Irwan Budiono Ndiung, Sabina Robert Weinhandl Robert Weinhandl Sabina Ndiung Tamur, Maximus Wening Wihartati Yuni Wijayanti