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All Journal Online Learning in Educational Research Aktual : Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Social Work and Science Education
Fitria, Jeni
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Religion Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Other

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Teacher's Perception of Thermodynamic Law Module Developed in Training through Student’s Critical Thinking Skills Risdianto, Eko; Fitria, Jeni; Johan, Henny; Macariola, Julie Simon
Journal of Social Work and Science Education Vol. 1 No. 1 (2020): Journal of Social Work and Science Education
Publisher : Yayasan Sembilan Pemuda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52690/jswse.v1i1.19

Abstract

This study determined teacher’s perceptions about the ability of modules developed in training students' critical thinking skills. This research is a part of research and development with the development model used, namely 3D Development, namely Define, Design, and Develop which was adapted. The instruments used were observation sheets, student needs questionnaire sheets and teacher perception questionnaire sheets. Questionnaire needs were given to 100 students of class XI Science while perception questionnaires were given to 30 high school/vocational school physics teachers. Data analysis techniques used are quantitative analysis techniques and qualitative analysis techniques. The instrument used to obtain perception data was categorized as valid with a value of Va = 3.11 and reliable with a Crobach's Alpha Coefficient calculated 0.925 greater than the standard Crobach's Alpha Coefficient value of 0.60. The results of the perception questionnaire analysis obtained an average percentage of teacher perceptions of 77.87% with a very good category.
Analysis of Responses to the Implementation of Online Training on Simple Media Materials Based on TPACK PEKERTI Batch 7 at Bengkulu University Medriati, Rosane; Fitria, Jeni; Risdianto, Eko
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 1 (2022): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v1i1.36

Abstract

This study aims to analyze the responses of PEKERTI participants batch 7 at Bengkulu University to implementation of online training on TPACK-based simple media materials. This type of research is survey research using quantitative research methods. The sample in this study were 51 lecturers from various universities in Indonesia. The study was conducted in October 2022. The data collection technique used a questionnaire so that the measuring instrument was a questionnaire made with a modified Likert scale with 4 answer choices, namely strongly agree, agree, disagree, and strongly disagree. The results showed that the respondents gave a positive response to implementation of online training on simple media materials based on TPACK PEKERTI Batch 7 at Bengkulu University.
Unveiling the Dual Nature of AI in Grading: A Systematic Review of Benefits and Mitigation Strategies for Algorithmic Bias Risdianto, Eko; Rostika, Rince Aida; Razak, Ahmad Zabidi Abdul; Kartika, Hera Anis; Fitria, Jeni
Online Learning In Educational Research (OLER) Vol 5, No 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.695

Abstract

The use of Artificial Intelligence (AI) in educational evaluation optimizes learning outcomes. This research seeks to address the advantages and difficulties of implementing AI within academic evaluation frameworks with particular emphasis on the algorithmic bias problem and its implications for fairness in education. The absence of a thorough grasp of algorithmic bias, particularly how it can be utilized as a weapon against equitable education, reveals an important gap. We conduct a Systematic Literature Review (SLR) and bibliometric analysis on 121 articles sourced from Scopus published between 2021 to 2025 to trace the trends and examine the impacts and biases of AI on grading systems. The data demonstrates a significant increase in publications beginning 2018, concentrating on topics such as educational applications of AI, automated grading systems, and machine learning. The findings further indicate that though AI improves efficiency and consistency of the evaluations, it heightens the chances of biased outcomes because of non-diverse training data, prejudiced developers, and socio-cultural frameworks that could worsen the situation for already marginalized learners. In summary, this study highlights the critical gaps in bias mitigation strategies arising from the lack of ethical design frameworks, antecedent-free algorithms, and educator prep courses aimed at combating bias. These outcomes serve as benchmarks for the creation of more reliable and comprehensive AI systems for assessments and shift subsequent investigations to focus validation on different cultures and the incorporation of just AI design paradigms
TPACK-Based Learning Management Training for Batch 2 Pekerti University of Bengkulu Risdianto, Eko; Fitria, Jeni
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2023): Aktual: Jurnal Pengabdian Kepada Masyarakat May 2023
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v1i1.19

Abstract

This activity aims to train lecturers in managing TPACK-based learning through the PEKERTI (Basic Instruction Technique Skills Improvement) Batch 2 2023 program.The activity was carried out in March 2023 at Bengkulu University, with a total of 39 participants in the training who were lecturers from different tertiary institutions. The research instrument used was a closed questionnaire with 4 answer choices. The data analysis technique used is descriptive statistical analysis. PEKERTI participant response analysisrelated to training activitiescarried out on the data obtained in the form of a percentage. Percentages are obtained based on modified Likert Scale calculations. The results showed that more than 50% of the respondents were in the Strongly Agree category based on the guidelines in table 4 of the Likert scale interpretation. As for the disagree and strongly agree categories, the number is 0 respondents. This means that the respondents who were the sample in this study only gave answers that strongly agreed and agreed to the 19 positive statements submitted in the questionnaire developed with reference to PEKERTI batch 2 activities in 2023 at the University of Bengkulu. So, it can be concluded that the TPACK-based learning management training in Pekerti Batch 2 at the University of Bengkulu received a positive response from the participants.
Co-Authors Eko Risdianto Henny Johan Kartika, Hera Anis Macariola, Julie Simon Medriati, Rosane Razak, Ahmad Zabidi Abdul Rostika, Rince Aida