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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Sora Journal of Mathematics Education
Nusantara, Bayuk
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Computer Science & IT Education Electrical & Electronics Engineering Mathematics Other

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The effect of distance learning on student learning achievement: a meta-analysis Nusantara, Bayuk; Hadi, Samsul; Retnawati, Heri; Sumaryanto, Sumaryanto; Prasojo, Lantip Diat; Sotlikova, Rimajon; Arlinwibowo, Janu
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6486-6497

Abstract

Distance learning has been an option during the last few years due to the coronavirus disease 2019 (COVID-19) pandemic. The aim of this research is to identify the effectiveness of distance learning compared to conventional learning in terms of student learning achievement. This research is meta- analysis of random group contrast design (experiment-control) models. The data selection process refers to the inclusion criteria of year, theme, data type and data completeness. Based on these criteria, 10 articles were selected. The analysis process begins with testing the homogeneity assumption using three methods, namely ????2, ????2, and Q which shows heterogeneous data so that random model selection is appropriate, testing freedom of publication bias with Egger's test and funnel plot which shows that the data collected is free from publication bias, identifying the effect size and standard error, as well as conducting moderator variable analysis which considers domain, continent, subject, education level and year variables. The results of this study show that although distance learning has a positive influence on student learning achievement, the difference is not significant when compared with conventional learning. In addition, these results can be moderated by achievement domain variables, type of subject, level of education, and year.
DO TEACHERS GIVE DIAGNOSTIC ASSESSMENT TO MEASURE STUDENTS’ MISCONCEPTION? Nusantara, Bayuk; Nusantara, By Tri Agung; Misbah, Fathir Husain
Sora Journal of Mathematics Education Vol 4 No 2 (2023): Sora Journal of Mathematics Education
Publisher : Program Studi Pendidikan Matematika (Kampus Kab. Maluku Barat Daya) Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/sora.4.2.57-62

Abstract

The importance of diagnostic assessment should be realized by teachers. This paper presents the results of a qualitative study on teachers’ perspective about diagnostic assessment. Teachers were interviewed about their perspective regarding the importance of giving diagnostic assessment to measure students’ misconception and also the implementation of diagnostic assessment. The result showed that the teacher only diagnosed students’ ability not giving the a diagnostic test to measure misconception. Thus, the government can give socialization about diagnostic testing to the teachers so that teachers will be more aware in utilizing diagnostic testing to measure students’ misconception.
Assessing self-regulated learning abilities of Indonesian students using cognitive diagnostic model Nusantara, Bayuk; Hadi, Samsul; Retnawati, Heri
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i2.29969

Abstract

This study has two objectives: to find out which cognitive diagnostic model (CDM) is suitable for extracting diagnostic information from non-diagnostic measurement data of Indonesian students’ self-regulated learning abilities; and to find out the attributes of self-regulated learning (SRL) abilities that have not been mastered by Indonesian students. This study used a quantitative research method with a retrofitting approach (post-hoc analysis). There were 3,874 respondents, besides there were 22 items of Q-matrix that measure four attributes of SRL ability. The data were analyzed and empirically validated using the R program with the generalized deterministic input and gate (GDINA) package. The results showed that the GDINA model is the most appropriate model for extracting diagnostic information regarding the SRL abilities of Indonesian students. In addition, most Indonesian students have not been able to master the four SRL ability attributes where the planning attribute (A1) is the most difficult attribute for Indonesian students to master.
Co-Authors Arlinwibowo, Janu Heri Retnawati Lantip Diat Prasojo Misbah, Fathir Husain Nusantara, By Tri Agung Samsul Hadi Sotlikova, Rimajon Sumaryanto Sumaryanto, Sumaryanto