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All Journal REiD (Research and Evaluation in Education) Jurnal Tadris Matematika Psychology, Evaluation, and Technology in Educational Research Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran
Ibnu Rafi
Universitas Negeri Yogyakarta
Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Peluang dan Tantangan Pengintegrasian Learning Management System (LMS) dalam Pembelajaran Matematika di Indonesia Ibnu Rafi; Fina Fitri Nurjannah; Iqlima Ramadhani Fabella; Sri Andayani
Jurnal Tadris Matematika Vol 3 No 2 (2020)
Publisher : Institut Agama Islam Negeri (IAIN) Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/jtm.2020.3.2.229-248

Abstract

This literature review aimed to describe the opportunities and challenges of integrating the Learning Management System (LMS) in mathematics learning, especially in terms of the non-technical aspects. Because many LMS platforms which can be integrated into learning process, this review only discusses the three LMS platforms which are common, namely Moodle, Edmodo, and Schoology. This review was conducted with the method as proposed by Templier and Paré (2015), in which the literature materials consisted of journal articles, proceedings, and official websites of LMS. The results of this review showed that integrating the LMS in mathematics learning indicated opportunities in terms of the positive impact which can be obtained from integrating the LMS. On the other hand, the identified challenges were about how mathematics content or materials were organized through integrating the LMS, providing feedback, and maximizing the online discussion facility provided by LMS. Therefore, to obtain the positive impact from integrating the LMS into mathematics learning, teachers should pay attention to these three challenges.
Polytomous scoring correction and its effect on the model fit: A case of item response theory analysis utilizing R Agus Santoso; Timbul Pardede; Ezi Apino; Hasan Djidu; Ibnu Rafi; Munaya Nikma Rosyada; Heri Retnawati; Gulzhaina K. Kassymova
Psychology, Evaluation, and Technology in Educational Research Vol. 5 No. 1 (2022)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/petier.v5i1.148

Abstract

In item response theory, the number of response categories used in polytomous scoring has an effect on the fit of the model used. When the initial scoring model yields unsatisfactory estimates, corrections to the initial scoring model need to be made. This exploratory descriptive study used response data from Take Home Exam (THE) participants in the Statistical Methods I course organized by the Open University, Indonesia, in 2022. The stages of data analysis include coding the rater’s score; analyzing frequency; analyze the fit of the model based on graded, partial, and generalized partial credit models; analyze the characteristic response function (CRF) curve; scoring correction (rescaling); and re-analyze the fit of the model. The fit of the model is based on the chi-square test and the root mean square error of approximation (RMSEA). All model fit analyzes were performed by using R. The results revealed that scoring corrections had an effect on model fit and that the partial credit model (PCM) produced the best item parameter estimates. All results and their implications for practice and future research are discussed.
The effect of scoring correction and model fit on the estimation of ability parameter and person fit on polytomous item response theory Agus Santoso; Timbul Pardede; Hasan Djidu; Ezi Apino; Ibnu Rafi; Munaya Nikma Rosyada; Harris Shah Abd Hamid
REID (Research and Evaluation in Education) Vol 8, No 2 (2022)
Publisher : Sekolah Pascasarjana Universitas Negeri Yogyakarta & HEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v8i2.54429

Abstract

Scoring quality has been recognized as one of the important aspects that should be of concern to both test developers and users. This study aimed to investigate the effect of scoring correction and model fit on the estimation of ability parameters and person fit in the polytomous item response theory. The result of 165 students in the Statistics course (SATS4410) test at one of the universities in Indonesia was used to answer the problems in this study. The polytomous data obtained from scoring the test results were analyzed using the Item Response Theory (IRT) approach with the Partial Credit Model (PCM), Graded Response Model (GRM), and Generalized Partial Credit Model (GPCM). The effect of scoring correction and model fit on the estimation of ability and person fit was tested using multivariate analysis. Among the three models used, GRM showed the best fit based on p-value and RSMEA. The results of the analysis also showed that there was no significant effect of scoring correction and model fit on the estimation of the test taker’s ability and person fit. From the results of this study, we recommend the importance of evaluating the levels or categories used in scoring student work on a test.
Gaining a deeper understanding of the meaning of the carelessness parameter in the 4PL IRT model and strategies for estimating it Timbul Pardede; Agus Santoso; Diki Diki; Heri Retnawati; Ibnu Rafi; Ezi Apino; Munaya Nikma Rosyada
REID (Research and Evaluation in Education) Vol 9, No 1 (2023)
Publisher : Sekolah Pascasarjana Universitas Negeri Yogyakarta & HEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v9i1.63230

Abstract

Three popular models are used to describe the characteristics of the test items and estimate the ability of examinees under the dichotomous IRT model, namely the one-, two-, and three-parameter logistic models. The three-item parameters are discriminating power, difficulty, and pseudo-guessing. In the development of the dichotomous IRT model, carelessness or upper asymptote parameter was proposed, which forms a four-parameter logistic (4PL) model to accommodate a condition where a high-ability examinee gives an incorrect response to a test item when he/she should be able to respond to the test item correctly. However, the carelessness parameter and the 4PL model have not been widely accepted and used due to several factors, and people’s understanding of that parameter and strategies for estimating it is still inadequate. Therefore, this study aims to shed light on ideas underlying the 4PL model, the meaning of the carelessness parameter, and strategies used to estimate that parameter based on the extant literature. The focus of this study was then extended to demonstrating practical examples of estimating item and person parameters using the 4PL model using empirical data on responses of 1,000 students from the Indonesia Open University (Universitas Terbuka) on 21 of 30 multiple-choice items on the Business English test, a paper-and-pencil test. We mainly analyzed empirical data using the ‘mirt’ package in RStudio. We present the analysis results coherently so that IRT users would have a sufficient understanding of the 4PL model and the carelessness parameter, and they can estimate item and person parameters under the 4PL model.
Factors Influencing the Success of Students’ Learning through Online Learning/Distance Education : A Bibliometric Analysis of Scopus Database Agus Santoso; Heri Retnawati; Munaya Nikma Rosyada; Ezi Apino; Ibnu Rafi; Kartianom Kartianom; Aigul Dauletkulova
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 1 (2024): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i1.10856

Abstract

This study aims to examine the co-occurrence of several topics linked to factors that influence student learning success and explore the motor themes related to factors that influence student learning success. This study used the literature review method with data analysis using R Studio and VOSViewer software. Data analyzed were exported from the Scopus website from 2013 to 2023 of 383 documents. The research data analysis techniques used network mapping analysis of VOSviewer results (network visualization) and content analysis within the keywords and studies. The findings of this study presented the keywords (most frequent words, trending topics), co-occurrence network (thematic map and thematic evolution), and discussion of topics related to factors that influence student learning success. The basic themes identified were higher education and Covid-19. Meanwhile, gender and self-efficacy are motor themes that could be researched further as those can influence student learning performance in online learning. The findings of the bibliometric analysis were intended to reveal unique insights into the factors that determine student learning performance in distant learning and contribute to previously unexplored issues.
Co-Authors Agus Santoso Aigul Dauletkulova Diki Diki Djidu, Hasan Ezi Apino Fina Fitri Nurjannah Gulzhaina K. Kassymova Harris Shah Abd Hamid Heri Retnawati Iqlima Ramadhani Fabella Kartianom Kartianom Munaya Nikma Rosyada Sri Andayani Timbul Pardede