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All Journal Al Ishlah Jurnal Pendidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Cendekia : Jurnal Pendidikan Matematika Control Systems and Optimization Letters Genta Mulia
Zafrullah Zafrullah
Universitas Negeri Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Other

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Journal : control systems and optimization letters

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Trends and Evolution Research on Digital-based Assessment: A Bibliometric Analysis using Scopus Database Zafrullah Zafrullah; Alfian Ma'arif; Astri Wahyuni; Aditya Gusti Mandala Putra
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.317

Abstract

This study aims to map global research trends and the evolution of digital based assessment systems through a bibliometric analysis. Using the PRISMA protocol on the Scopus database, publications from 1977 to 2026 were identified, resulting in 3,725 initial documents, which were filtered based on document type (articles), subject area (computer science), and relevance criteria to obtain a final dataset of 312 studies. Data were analyzed using Bibliometrix (R) and VOSviewer to examine publication trends, collaboration patterns, and keyword evolution. The findings indicate that digital based assessment research has evolved from basic computer based testing toward more adaptive and intelligent systems, with a steady annual growth rate of 2.87%. The results also reveal increasing cross regional collaboration, particularly between European and Asian institutions, along with the dominance of high impact journals such as Computers and Education and Computers in Human Behavior. Furthermore, five main research dimensions were identified: system infrastructure, digital pedagogy, advanced psychometric analytics, virtual learning governance, and user psychological behavior. Recent trends highlight the integration of adaptive testing, machine learning, and deep learning to enhance assessment accuracy and academic integrity; however, challenges related to inclusivity, ethical considerations, and student well being remain significant. Therefore, future research should focus on developing intelligent, ethical, and inclusive assessment systems that balance technological advancement with human centered considerations.
Scientific Literacy Instruments in Science Education: A Meta-Analytic Study on Internal Consistency Hajidah Salsabila Allissa Fitri; Alfian Ma’arif; Casphama Jovansyah Chaidir; Zafrullah Zafrullah; Nurdin Munthe; Sumalee Chuchai; Shazia Aslam
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.338

Abstract

Scientific literacy is a central goal of science education and is commonly assessed using diverse instruments across educational levels and contexts. However, internal consistency estimates are sample dependent and may vary across studies. This study conducted a reliability generalization meta analysis of Cronbach’s alpha coefficients reported for scientific literacy instruments. A systematic search of the Scopus database identified empirical studies reporting Cronbach’s alpha for scientific literacy instruments. In total, 19 studies providing 20 reliability estimates, comprising 10,163 participants, were included. Reliability generalization and moderator analyses were conducted using mixed effects models in jamovi. The pooled Cronbach’s alpha was 0.814 (95% CI [0.776, 0.853]), suggesting high average internal consistency; however, the extreme heterogeneity (I² = 99.42%) indicates that this estimate represents an overall average rather than a stable or universally generalizable reliability value. Moderator analyses showed that education level, instrument type, study design, item group, and geographical region were not significant moderators of reliability, indicating that these characteristics did not explain the substantial variability across estimates. Publication bias assessment suggested a low risk of bias, although sensitivity analysis showed that the pooled estimate was influenced by the exclusion of low alpha values. For instrument developers, these findings emphasize the need to establish reliability evidence for specific target populations and contexts rather than relying on a pooled reliability coefficient. Future research should investigate additional methodological and contextual factors that may explain the substantial heterogeneity.
Co-Authors Aditya Gusti Mandala Putra Alfian Ma’arif Annisa Fitriani Astri wahyuni Astri Wahyuni Atika Miftah Ramadhani Casphama Jovansyah Chaidir D’aquinaldo Stefanus Fani Seran Fini Rezy Enabela Novilanti Fita Ramadhani Hajidah Salsabila Allissa Fitri Jumriani Sultan Nurdin Munthe Resky Nuralisa Gunawan Resky Nuralisa Gunawan Rina Safitri Risky Setiawan Rizki Tika Ayuni Rizki Tika Ayuni Rooskartiko Bagas Rahoetomo Sandry Rory Shaufi Ramadhani Shazia Aslam Siti Nurjanah Slamet Suyanto Sugiyono Sugiyono Sumalee Chuchai Syukrul Hamdi Yanti Kumala Sembiring Yoel Istiawanto