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Online Learning in Educational Research
Published by Foundation of Advanced Education
ISSN : 27989736     EISSN : 27982351     DOI : -
Core Subject : Education,
Education
Online Learning in Educational Research (OLER Journal) is a medium of communication for researchers, academicians, and practitioners that provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which examined empirically. Journal Online Learning in Educational Research is a biannual publication that highlights field research and library research in the broad area of Computer Mediated Learning which includes distance, online, electronic, virtual, distributed, blended, mobile learning, develoving media for online learning, and instument assessment for online learning. Computer-mediated learning occurs when an individual interactively learns (formally or informally, synchronously or asynchronously) about material via computer means where the learning materials and pedagogy are developed to take advantage of the available technologies. The goals of OLER are to: Promote a scholarly approach to the practice and profession of teaching in computer-mediated environments. Foster dialogue concerning innovative computer-mediated teaching, learning and assessment strategies. Enhance understanding and application of best practices in online teaching and learning.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 70 Documents
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Content Validity of Three-Tier Multiple Choice Virtual Reality-Based Assessment with Embedded Ethno-SSI Concepts on Acid-Base Topics Huda, Zamira Zia'ul; Yamtinah, Sri; Shidiq, Ari Syahidul
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.v5i1.665

Abstract

Research on acid-base misconceptions at the high school level is extensive, but studies at the university level remain limited. Due to the prevalence of these misconceptions, developing accurate instruments for early detection is crucial. This study developed a three-tier multiple-choice virtual reality-based assessment integrating the ETHNO-SSI concept for acid-base topics. The study employed the Borg and Gall R and D model to evaluate content validity.The study used a developmental design, with face validation by six expert reviewers using a rubric to evaluate content validity, construct relevance, clarity and contextual integration. Processing of the data involved the use of Aiken’s V index. The results also evidenced a high content validity for all the dimensions studied, indicating that the instrument is pedagogically sound and culturally relevant. By embedding Ethno-SSI in immersive VR platforms, this assessment approaches represents a new path in the pursuit of students’ conceptual challenges when dealing with sociocultural decision making in real-world conditions. This study provides valuable information to the development of multidimensional chemical assessment instruments to link sociocultural innovation, recover notions of acid-base misconceptions, and incorporate cultural relevance in chemistry education.
Transformation of Critical Thinking in Environmental Education: Integration of Project-Based Learning and Technology Ayu, Hena Dian; Jufriadi, Akhmad; Pratiwi, Hestiningtyas Yuli
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.v5i1.598

Abstract

Critical thinking is essential in environmental education, helping students address ecological and sustainability challenges. However, current learning models often lack a structured framework for developing critical thinking in environmental science courses. The advancement of digital technology offers both opportunities and challenges. This research aims to develop critical thinking dimensions for environmental science courses using a project-based learning (PjBL) approach, integrated with digital technology (AI-assisted data analysis, GIS for mapping, and cloud-based tools for collaboration). The Delphi method was used to create critical thinking indicators, involving 15 experts from various fields. Data was collected via interviews, Focus Group Discussions (FGD), and a Likert scale-based validation questionnaire. Results show that the developed dimensions Inference, Clarifying and Interpretation, Analyze and Evaluate Arguments, and Explanation met validity and reliability criteria through Rasch analysis and Confirmatory Factor Analysis (CFA). Technology integration in PjBL enhances data-driven analysis and predictive modeling but may reduce critical reflection due to AI reliance. A hybrid learning approach is recommended to balance hands-on interaction with technology use. This study contributes to designing more effective strategies for improving students' critical thinking skills in environmental education
Breaking Misconceptions: Technology-Integrated MORE Model for Meaningful Learning of Momentum and Impulse Adimayuda, Rizal; Suhandi, Andi; Samsudin, Achmad; Suhendi, Endi; Setiawan, Agus; Fratiwi, Nuzulira Janeusse
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.v5i1.606

Abstract

Misconceptions in physics, particularly in topics like momentum and impulse, pose significant barriers to meaningful learning, as students often rely on everyday experiences that contradict scientific principles. Addressing these misconceptions is crucial for improving students’ understanding and application of physics concepts in real-world contexts. This study examines the effectiveness of the Technology-Integrated Modification, Observation, Reflection, and Evaluation (T-MORE) model in addressing misconceptions about momentum and impulse through a convergent parallel mixed-methods design. A total of 22 first-semester undergraduate students participated in this study, receiving instruction incorporating videos, PhET simulations, and AI-assisted reflection tools. Conceptual understanding was measured using the Four-Tier Momentum and Impulse Misconception Diagnostic Test (FT-MIMDT). The McNemar test confirmed a statistically significant improvement, while the Reduction of Misconception Quantity (RMQ) indicated a high reduction in misconceptions. Qualitative analysis revealed changes in students’ misconceptions regarding momentum conservation and impulse-momentum relationships after instruction. These findings confirm the effectiveness of T-MORE in improving conceptual understanding and reducing misconceptions in momentum and impulse. The implementation of T-MORE can be further optimized by incorporating collaborative discussion sessions and adaptive formative assessments to ensure that all students can reconstruct their understanding more comprehensively.
Enhancing Digital Learning in Higher Education: The Mediating Role of Academic Self-Efficacy in Motivation and Engagement Agusnaya, Nurrahmah; Wahid, Abdul; Akbar, Muh.; Hidayat M, Wahyu; Sanatang, Sanatang; Soeharto, Soeharto; Lavicza, Zsolt
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.505

Abstract

This study investigates the impact of Relevant and Applicable Content (RAC) and Learner Support (LS) on Motivation and Engagement (ME) in digital learning, mediated by Academic Self-Efficacy (ASE). Higher education faces challenges in maintaining student motivation and engagement along with the rapid growth of digital learning technologies. However, limited research has explored the roles of RAC and LS in this context. This study aimed to address this gap by examining ASE's mediating influence. A quantitative approach was utilized, collecting data through self-report questionnaires from 375 university students. Structural Equation Modeling (SEM) was used to analyze the relationships among variables. The results revealed that RAC and LS positively influenced ME directly and indirectly through ASE. These findings emphasize the need for relevant content and robust learner support to design effective digital learning programs. Implementing these strategies can foster motivation, engagement, and student-centred learning outcomes in higher education
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
Game-based Learning in Science Education: Bibliometric Analysis Haryandi, Surya; Misbah, Misbah; Arlinda, Rossy; Harto, Muhdi; Muhammad, Nurlaela; Qamariah, Qamariah
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.v5i1.626

Abstract

Game-based Learning (GBL) in science education can increase students' interest, motivation, and involvement in the process of learning, so a more in-depth study of GBL through bibliometric analysis is needed. This study aims to analyze research trends on the application GBL in science education through bibliometric analysis from 2021-2024. This study employed bibliometric analysis to examine 349 English-language journal articles published from 2021 to 2024, which were retrieved from the Scopus database. Using VOSviewer, the analysis involved co-occurrence and keyword mapping to identify emerging research themes and publication trends. The results obtained 62 articles for further analysis through bibliometric review and visualization using VOSviewer. The trend of GBL research grows yearly, potentially increasing the number of publications the following year. The majority of GBL-related articles appear in respected international journals. This is also the reason for the article's high citation count. Indonesia ranks second in terms of GBL research. The visualization findings between GBL and science education demonstrate that various keywords under investigation emerged in the previous year. This further indicates a topic worth investigating further. The analysis results are based on the study topic, research location, type of research, and applications utilized in GBL, providing an overview for future researchers to undertake a more in-depth examination of the data. The main findings show that GBL may enhance the learning results of students in the context of science, providing insights into effective learning strategies that educators can adopt. These findings are expected to be used to formulate more innovative and effective educational practices and serve as a basis for further research in this area.
University Selection Determinants in Vietnam: A Case Study of Thai Nguyen University of Information Technology and Communication Tuan, Bùi Ngoc
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.427

Abstract

This study examines the factors influencing students' decisions to choose the Thai Nguyen University of Information and Communication Technology (ICTU). The research helps universities understand the key factors that students consider, leading to more effective admission policies and strategies. Data was collected from a random sample of first-year students at the university in 2022 using questionnaires and both qualitative and quantitative methods with SPSS 20 software. The integration of these two methods was carried out through the Structural Equation Modeling (SEM), allowing a comprehensive analysis and evaluation of the influencing factors. Factor analysis indicated that a multiple regression model was suitable for assessing the factors influencing enrollment decisions. Important variables included adequate classrooms, a well-equipped library, generous scholarships, supportive employment policies during studies, a curriculum aligned with social needs, high-earning graduates, and highly qualified faculty. The SEM model demonstrated a good fit with high compatibility and accuracy indices, supporting the model’s validity and explanatory power. The article recommends enhancing faculty quality, improving infrastructure, diversifying programs, and increasing the dissemination of university information
Exploring Alternative Teaching and Learning Platforms in Post-COVID-19 Umera, Ozioma Roseline; Baror, Stacey Omeleze
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.v5i1.600

Abstract

Learning for undergraduate students at the National Open University of Nigeria (NOUN), Gwagwalada study center, has significantly shifted toward e-learning since the COVID-19 pandemic. This study investigates how NOUN students use e-learning platforms and the challenges they face. Using a survey design with qualitative methods, data from 364 participants were collected through questionnaires and interviews. Guided by the Technology Acceptance Theory, the study finds that students predominantly use emails, LMS, video conferencing, and social media for academic activities. Key benefits include flexibility, convenience, equitable access, and enhanced critical thinking. However, infrastructure and policy gaps persist. The study highlights the importance of ongoing improvements in e-learning systems and recommends that NOUN regularly conduct faculty training and digital literacy workshops to enhance participation and reduce barriers
Harnessing Digital Skills For Academic Success: Unveiling The Power of Learning Motivation in Computational Thinking and Tech Integration Rauf, Annajmi; Fakhri, M. Miftach; Fathahillah, Fathahillah; Surianto, Dewi Fatmarani; Baso, Fadhlirrahman; Arifiyanti, Fitria; Amukune, Stephen
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.501

Abstract

The workforce's demand for critical thinking and innovation highlights the need to improve students' problem-solving skills, thus encouraging educational institutions to adopt technology-based strategies for an engaging learning environment. Previous studies have explored the relationship between learning motivation and academic outcomes and the role of technology and web-based media in improving problem-solving skills. However, limited research has comprehensively examined the interaction between computational thinking, technology integration, learning motivation, and student performance. This study aims to examine how Computational Thinking (CT) and Technology Integration (TI) influence Learning Motivation (LM) and Student Performance (SP), providing insights into optimizing digital skills for academic success in the digital age. Data were collected from 426 respondents' university students in Indonesia randomly. A questionnaire with a 5-point Likert scale consisting of several variables such as Computational Thinking, Technology Integration, Learning Motivation, and Student Performance were used in this study. Then, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to check the measurement and assessment model. The results showed that CT and TI positively and significantly impacted LM and SP. In addition, LM serves as an important mediator, strengthening the influence of CT and IT on academic outcomes. Specifically, technology integration has a greater impact on LM than CT, while LM significantly improves SP. This study presents a detailed framework for educators to enhance learning experiences by integrating digital skills and fostering student motivation. The findings offer practical implications for developing effective educational strategies that meet the changing demands of the digital age. Future research is recommended to investigate the long-term effects of CT and IT in various educational environments.
Acrachemmics (Acid Rain in Chemical Comics) Oriented to Chemical Literacy Khaerunnisa, Rifa; Irwansyah, Ferli Septi; Dewi, Citra Deliana; Dahriah, Iis; Gerhana, Yana Aditia
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.v5i1.721

Abstract

Understanding chemical concepts such as acid rain can be challenging for students due to their abstract and complex nature. To address this, a chemical literacy-based learning approach using comic media. Acrachemmics (Acid Rain in Chemical Comics) was developed to enhance student comprehension. This research aims to develop and evaluate electronic comic media especially Acrachemmics (Acid Rain in Chemical Comics). A Design-Based Research (DBR) methodology was employed, comprising three phases: analysis, design, and development. The validation test yielded a Pearson correlation coefficient (r) of 0.88, indicating a high level of content validity. Additionally, the feasibility assessment, which examined aspects of material content, visual communication, software engineering, and language, produced an average score of 84 percent, reflecting a high level of practical usability. These results suggest that Acrachemmics is both a valid and feasible educational media for teaching acid rain concepts. By presenting scientific content through engaging visuals and narrative storytelling, Acrachemmics facilitates student understanding in a more accessible and enjoyable format

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