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All Journal Journal of Educational Science and Technology REiD (Research and Evaluation in Education) Beta: Jurnal Tadris Matematika Psychology, Evaluation, and Technology in Educational Research Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika
Hasan Djidu
Universitas Sembilanbelas November Kolaka
Computer Science & IT Education Engineering Mathematics Physics Social Sciences Other

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Online learning in the post-Covid-19 pandemic era: Is our higher education ready for it? Hasan Djidu; Sufri Mashuri; Nasruddin Nasruddin; Andri Estining Sejati; Rasmuin Rasmuin; La Eru Ugi; Afudin La Arua
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 5 No. 2: July 2021
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/esaintika.v5i2.479

Abstract

This study aimed to describe the challenges of higher education in implementing online learning during the pandemic Covid-19 outbreak. This study was a qualitative research with a phenomenological approach. Data were collected from 408 students and 20 Lectures from 6 public universities and 6 private universities in Java, Sumatera, Kalimantan, Sulawesi, Nusa Tenggara, and Maluku, by filling out online questionaires and in-depth interviews via social media. The process of data analysis was data reduction, identifying themes, mapping interrelationships between themes, and concluding findings The results of data analysis showed that there were two main challenges, both for lecturers and students. First, limited resources, such as electronic devices (laptops/smartphones/others), learning resources, electricity, and internet connections. Second, lack of knowledge/skills on how to use the online learning media, finding and/or providing learning resources, managing online learning, providing online measuring tools, and carrying out online assessments. This condition has the greatest impact on students from low economic families, and who live in areas with limited access to learning facilities, such as electricity, and internet connections. Most of them lose learning opportunities because of these limitations.  Third, the difficulty of time management during the online learning period.
Higher-order thinking skills among male and female students: An experimental study of the problem-based calculus learning model in secondary schools Hasan Djidu; Jailani Jailani; Heri Retnawati
Beta: Jurnal Tadris Matematika Vol. 14 No. 2 (2021): Beta November
Publisher : Universitas Islam Negeri (UIN) Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/betajtm.v14i2.432

Abstract

[English]: This study aims to examine the effectiveness of the problem-based calculus learning model (PB-CLM) towards students’ higher-order thinking skills (HOTS). PB-CLM is a modification of problem-based learning’s (PBL) syntax. It was a quasi-experimental with a group pretest-posttest design involving 351 11th-grade students as the population. Seventy-one students of two classes were randomly selected as a sample. Data was collected through pretest and posttest developed from three aspects of HOTS; analysis, evaluation, and synthesis. To determine the effectiveness of PB-CLM, paired sample t-test and independent sample t-test with a significance level of 5% (α = 0.05) were used. The results show that students’ activities during the learning process in PB-CLM has a positive effect on increasing their HOTS (mean difference = 30.141; sig one-tailed = 0.000). Furthermore, there was no significant difference in HOTS among male and female students, both at the pretest and posttest (mean difference = 0.81731; sig.= 0.295). Likewise, the increase in HOTS scores (posttest-pretest) did not differ significantly between gender (mean difference = 0.88141; sig. one-tailed = 0.740). [Bahasa]: Penelitian ini bertujuan untuk menguji keefektifan problem-based calculus learning model (PB-CLM) terhadap higher-order thinking skills (HOTS) siswa. PB-CLM merupakan modifikasi dari sintaks model problem-based learning (PBL). Penelitian ini menggunakan rancangan quasi eksperimen dengan desain one group pretest-posttest yang melibatkan 351 siswa kelas XI sebagai populasi penelitian. Tujuah puluh satu siswa dari 2 kelas dipilih secara acak sebagai sampel. Data penelitian dikumpulkan dengan menggunakan pretest dan posttest yang dikembangkan dari 3 aspek HOTS; analisis, evaluasi, dan sintesis. Untuk mengetahui keefektifan PB-CLM digunakan paired sample t-test dan independent sample t-test dengan taraf signifikansi 5% (α = 0,05). Hasil analisis menunjukkan aktivitas siswa selama pembelajaran dengan PB-CLM efektif dalam meningkatkan HOTS (mean difference = 30,141; sig.one-tailed = 0,000). Lebih lanjut, tidak ditemukan perbedaan yang signifikan antara HOTS siswa laki-laki dan perempuan, baik pada pretest maupun posttest (mean difference = 0,81731; sig.= 0,295). Begitu pula peningkatan skor HOTS (posttest-pretest) juga tidak berbeda signifikan antara siswa laki-laki dan perempuan (mean difference = 0,88141; sig. one-tailed = 0,740).
Comparison of Mathematics Learning Outcomes of Students in Auditory Intellectually Repetition (AIR) and Reciprocal Teaching (RT) Learning Models Sufri Mashuri; Jahring Jahring; Nasruddin Nasruddin; Hasan Djidu
Journal of Educational Science and Technology (EST) Volume 6 Number 3 December 2020
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/est.v6i3.14456

Abstract

The purpose of this study is to see the differences in the mean increase in student mathematics learning outcomes in the Auditory, Intellectually, Repetition (AIR) model and reciprocal teaching (RT) model. The sample in this study were 25 students as the experimental class 1 and 23 students as the experimental class 2. This research was an experimental study with a nonequivalent control group design. The data analysis used was descriptive and inferential analysis. The results of the descriptive analysis showed that the mean pretest score of the experimental class 1 was 51.64 and the posttest result was 70.88 with the increase in student mathematics learning outcomes reaching 0.39. While the mean pretest score of experimental class 2 was 36.52 and the posttest result was 70.48 with the increase in student mathematics learning outcomes reaching 0.51. The variance of the increase in mathematics learning outcomes in the experimental class 1 was 0.02, and the experimental class 2 was 0.01. The results obtained indicate that the increase in mathematics learning outcomes through the reciprocal teaching learning model is higher than the increase in student mathematics learning outcomes using the AIR learning model.
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 results of 165 students in the Statistics course (SATS4410) test at one of the universities in Indonesia were 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. GRM showed the best fit among the three models used 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 Afudin La Arua Agus Santoso Andri Estining Sejati Ezi Apino Gulzhaina K. Kassymova Harris Shah Abd Hamid Heri Retnawati Ibnu Rafi Jahring Jailani Jailani La Eru Ugi Munaya Nikma Rosyada Nasruddin Nasruddin Rasmuin Rasmuin Sufri Mashuri Timbul Pardede