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All Journal REiD (Research and Evaluation in Education) Jurnal Tadris Matematika Psychology, Evaluation, and Technology in Educational Research
Ibnu Rafi
Universitas Negeri Yogyakarta
Computer Science & IT Education Social Sciences

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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
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.
Co-Authors Agus Santoso Djidu, Hasan Ezi Apino Fina Fitri Nurjannah Gulzhaina K. Kassymova Harris Shah Abd Hamid Heri Retnawati Iqlima Ramadhani Fabella Munaya Nikma Rosyada Sri Andayani Timbul Pardede