Claim Missing Document
Check
Articles

Found 39 Documents
Search

Transforming Science Education through Gamification: A Systematic Analysis of Trends, Impacts, and Implications Zarror, Afif Fauzan; Sumaryati, Sri; Sukmawati, Fatma
Proceeding of International Conference on Biology Education, Natural Science, and Technology 2025: Proceeding of International Conference on Biology Education, Natural Science, and Technology
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing need for engaging and effective science education has prompted educators to explore alternative instructional strategies. Gamification, the integration of game elements into learning environments, has emerged as a promising approach to enhance student motivation, participation, and conceptual understanding. This study aims to systematically examine how gamification has been implemented in science education across diverse contexts and educational levels. A systematic literature review was conducted using a structured protocol to identify relevant open-access articles published between 2021 and 2025. A total of ten empirical studies were selected based on predetermined inclusion criteria. The results reveal four dominant forms of gamification: educational card games, scenario-based simulations, digital escape rooms, and serious games addressing contemporary science issues. These interventions were applied in various science disciplines, including chemistry, microbiology, anatomy, nutrition, and environmental education. The findings highlight positive cognitive, affective, social, and motivational impacts on learners. Despite challenges such as limited digital access and varying teacher readiness, gamification proves to be an adaptable and impactful pedagogical tool. This review concludes that gamification, when thoughtfully designed, supports meaningful science learning and fosters broader scientific literacy.
Digitally integrated Cooperative Learning Models to Enhance Student’s Creativity: Comparative Analysis Across Creativity Dimensions Suparmi, Suparmi; Sukmawati, Fatma; Santosa, Eka Budhi; Cahyono, Budi Tri; Prihatin, Relly
Journal of Educational Science and Technology (EST) Volume 11 Number 2 August 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/est.v11i2.78265

Abstract

In the 21st century, students’ creativity needs to be developed to confront global change. This study aims to provide a comprehensive overview of Cooperative learning to enhance on students’ creativity across all dimensions. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) was used as the methodology. The results showed that cooperative learning can foster dimensions of creativity: fluency, flexibility, originality, and elaboration. Specifically, fluency is supported by Student Teams Achievement Division, Think-Pair-Share and Numbered Heads Together, and the integration of digital gamification with Cooperative Learning. Flexibility is supported by Jigsaw/Group Investigation and the integration of digital gamification with cooperative learning. Originality is supported by Think-Pair-Share and Numbered Heads Together, Cooperative-Project Based learning, and the integration of digital gamification with cooperative learning. Elaboration strengthens Student Teams Achievement Division, Jigsaw/Groups Investigation, and Cooperative-Project Based learning. Mediators supporting cooperative learning include teacher competence, classroom climate, task design, evaluation, and digital access. The new of this study are student orientation, integration of cooperative learning with digitalization, and model comparison. The conclusion is that cooperative learning can enhance students’ creativity through fluency, flexibility, originality, and elabotation, which are strengthened by digital integration and supportive classroom factor.
Immersive Chemistry Learning with Augmented Reality: Exploring Students’ Needs on Visualizing Chemical Bonding Setiawan, Riky; Santosa, Eka Budhi; Sukmawati, Fatma
Indonesian Journal of Instructional Media and Model Vol 7 No 2 (2025): Indonesian Journal of Instructional Media and Model
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijimm.v7i2.6941

Abstract

The digital transformation of education has opened broad opportunities for innovation, yet the use of advanced technologies such as Augmented Reality (AR) in chemistry learning remains limited, particularly in Indonesia. The present research examines high school students’ needs for AR-based instructional media on the abstract topic of chemical bonding. A descriptive quantitative approach was employed within the Analysis phase of the ADDIE instructional design model. Data were collected using a validated questionnaire administered to 51 eleventh-grade students from a senior high school in Surakarta, Indonesia. The results show that more than 84% of students experience difficulties in learning chemistry, with chemical bonding identified as the most challenging topic (88.2%), mainly due to limited visualization and the abstract nature of the content. Students also perceived the instructional media currently used in class as insufficiently engaging and not yet effective in helping them understand chemical bonding. Although 90.2% of students had never used AR in chemistry lessons, nearly 59% expressed strong interest in its implementation. This study offers an empirical mapping of students’ cognitive, media-related, and technological needs as a foundation for designing AR-based chemistry learning on chemical bonding. As far as we are aware, it is one of the first studies in the Indonesian context to conduct a structured needs analysis for AR integration specifically on chemical bonding within the ADDIE framework. At a practical level, the findings provide guidance for instructional designers and chemistry teachers regarding the urgency of developing immersive AR tools that bridge abstract chemical representations with spatial visualization while also enhancing student engagement in the digital era.
Needs Analysis for Designing Dynamic Game-Based Learning Media on Motion and Force in Junior High School Science Zarror, Afif Fauzan; Sumaryati, Sri; Sukmawati, Fatma
Indonesian Journal of Instructional Media and Model Vol 7 No 2 (2025): Indonesian Journal of Instructional Media and Model
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijimm.v7i2.7274

Abstract

Understanding Motion and Force remains challenging for junior high school students, particularly due to the abstract and multi-representational nature of the concepts. This study aimed to systematically identify learning difficulties, learner characteristics, media usage patterns, and digital habits through the Define stage of the 4-D development model as the foundation for designing game-based learning media. A mixed-methods needs analysis was conducted using classroom observations, a teacher interview, and a questionnaire administered to 93 seventh-grade students. Triangulated findings reveal persistent conceptual difficulties, especially in interpreting motion graphs, distinguishing types of motion, and understanding Newton’s Second Law. Classroom instruction was dominated by teacher-centered practices and static media, which constrained visualization and increased cognitive load. Despite frequent daily smartphone use, students had limited exposure to digital or interactive tools. Nevertheless, 98.9% expressed strong interest in educational games, indicating high readiness for game-based learning environments. The synthesis of front-end, learner, and task analyses highlights critical representational needs, including dynamic visualizations, interactive manipulation of variables, scaffolded conceptual tasks, real-time feedback, and mobile-friendly accessibility. These results provide explicit design specifications that will guide the next stage of media development, ensuring that the resulting game-based learning tool aligns with students’ cognitive, pedagogical, and technological needs.
Teachers' Readiness to Implement the Deep Learning Approach in Merdeka Curriculum: An Analysis Based on Psychopedagogical Characteristics Budhi Santosa, Eka; Sukmawati, Fatma; Ridhani, Jovita; Trisnaningsih, Sari; Prihatin, Relly
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 3 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i3.58841

Abstract

This study aims to analyze the readiness of vocational high school (SMK) teachers to implement the deep learning approach within the Merdeka Curriculum, based on psychopedagogical characteristics, particularly self-efficacy and perceptions of the learning environment. Employing a quantitative correlational approach, data were collected through a closed-ended questionnaire administered to 285 teachers across three administrative regions in Central Java: Boyolali, Klaten, and Salatiga. The results reveal a significant positive correlation between self-efficacy and teacher readiness (r = 0.319; p < 0.01), as well as between the learning environment and teacher readiness (r = 0.381; p < 0.01). These findings highlight the critical role of teachers’ confidence in using technology and the supportive digital learning environment in facilitating the successful adoption of deep learning pedagogy. Therefore, enhancing individual teacher capacity and fostering a conducive learning environment are key strategies to support effective pedagogical transformation in the era of the Merdeka Curriculum.
The Silent Catalysts: How Engagement in Blended Learning Shapes Science Students’ Critical Thinking Ridhani, Jovita; Sukmawati, Fatma
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 3 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i3.60853

Abstract

Blended learning becomes a central post-pandemic instructional model and understanding how learners engage within these environments is important for enhancing higher-order thinking skill. This study examines the extent to which students’ blended learning engagement predicts the critical thinking skills of high school science students, and whether socioeconomic status (SES) moderates this relationship. A quantitative correlational design was employed, involving 469 science students from Indonesian high schools that have consistently implemented blended learning. Data were collected through a 4-point Likert-scale questionnaire and analyzed using Spearman’s rank-order correlation and bootstrap regression. The results indicated that cognitive engagement was the strongest predictor of critical thinking (ρ = .793, p < .001; β = .751, p < .001), while emotional engagement had a positive but smaller effect (ρ = .291, p < .001; β = .066, p = .029), and behavioral engagement was insignificant (ρ ≈ .000, p = .998; β = –.028, p = .326). Simultaneously, the three dimensions of engagement explained 59.9% of the variability in critical thinking, with no significant moderating effect of SES. However, split-group correlations indicated that the correlation between blended learning engagement and critical thinking was stronger among students from low- (ρ = .512) and high- (ρ = .481) SES groups compared to those from the middle group (ρ = .386), indicating variation in effect magnitude but not direction, thereby clarifying the apparent contradiction with the non-significant moderation test. These findings confirmed cognitive engagement as the core component of reflective learning in blended learning, as well as highlighted the need for instructional designs that strengthen metacognitive regulation and epistemic autonomy for diverse learners.
Integrating Web-Based IoT Learning Media to Enhance Critical Thinking and Problem-Solving Skills in Vocational Education Sukmawati, Fatma; Santosa, Eka Budhi; Trisnaningsih, Sari; Ridhani, Jovita; Prihatin, Relly
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 3 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i3.61132

Abstract

The integration of Internet of Things (IoT) technology in vocational education is essential for preparing graduates to meet Industry 4.0 demands. Although digital learning technologies have been widely studied, empirical evidence on the effectiveness of web-based IoT learning media integrated with problem-based learning (PBL) in vocational contexts remains limited. This study examines the instructional impact of web-based IoT learning media on vocational students’ critical thinking and problem-solving skills. A quasi-experimental non-equivalent control group pretest–posttest design was employed involving 60 eleventh-grade Mechanical Engineering students (30 experimental, 30 control). The experimental group participated in PBL activities supported by a web-based IoT platform for eight weeks, while the control group received conventional instruction. Data were analyzed using Analysis of Covariance (ANCOVA) to compare posttest outcomes while controlling for initial differences in pretest scores. The results indicate statistically significant improvements in critical thinking and problem-solving skills among students in the experimental group compared to the control group (p < 0.05). The effect sizes indicate a strong instructional impact within the studied context, though findings should be interpreted cautiously given the sample size. Overall, this study provides empirical support for the pedagogical potential of web-based IoT learning media in fostering 21st-century competencies in vocational education.
Enhancing Junior High School Teaching Performance Through AI-Supported Deep Learning Approaches Cahyono, Budi Tri; Sukmawati, Fatma; Santosa, Eka Budhi; Prihatin, Relly; Suparmi; Qodr, Taufiq Subhanul
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 3 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i3.61743

Abstract

supported deep learning approaches in improving the teaching performance of junior high school teachers. With the increasing demand for 21st-century teaching competencies, there is a need for innovative instructional strategies that enhance teacher effectiveness and engagement. A quantitative quasi-experimental method was employed, involving pre-tests and post-tests administered to both control and experimental groups. The study involved 64 junior high school teachers across science and social studies subjects. Teaching performance was assessed using structured observation and evaluation tools covering lesson planning, implementation, and assessment practices. Data analysis was conducted using t-tests and normalized gain (n-gain) scores. The findings demonstrated that the teachers in the experimental group—who utilized AI-supported deep learning approaches—showed significantly greater improvement in teaching performance compared to the control group. The intervention was classified as “effective” in fostering meaningful, interactive, and future-ready instructional practices. The study concludes that integrating AI-supported deep learning strategies can substantially enhance teaching quality. It is recommended that educational institutions incorporate these approaches into ongoing professional development initiatives to better prepare teachers for modern educational demands. The findings demonstrated that the teachers in the experimental group showed significantly greater improvement in teaching performance.
How to Differentiate Instruction for Deeper Learning Using Cognitive Task Analysis Juwita, Ratna; Sukmawati, Fatma; Santosa, Eka Budhi; Cahyono, Budi Tri; Prihatin, Relly; Suparmi, Suparmi; Ridhani, Jovita; Trisnaningsih, Sari
Jurnal Penelitian Kebijakan Pendidikan Vol 18 No 2 (2025)
Publisher : Pusat Standar dan Kebijakan Pendidikan, BSKAP, Kemendikbudristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24832/jpkp.v18i2.1312

Abstract

This study aims to explore the requisite skills for Differentiated instruction (DI) implementation and to identify best practices across school levels. Differentiated instruction (DI) for deeper learning is essential for responding to students’ diverse needs. Using 112 self-reported essays, interviews, videotaped practices, and experts meeting, this study employed Cognitive Task Analysis (CTA) to capture the knowledge experts use to carry out differentiation. The results revealed a 4:9:2 skill formula across the preparation, implementation, and evaluation phases. Notable differences across school levels emerged. In the preparation phase, primary and secondary school teachers prepared varied materials (34%) and grouping strategies (44%), whereas only a few kindergarten teachers (3%) employed these strategies. In the implementation phase, most primary (68%) and secondary (79%) teachers tailored materials to students' learning styles by offering content in multiple formats; however, only a small proportion of kindergarten teachers (26%) differentiated content, focusing instead on process differentiation and additional learning support. Despite the differing contexts, the study also identified cross-level similarities. Future research should investigate the long-term impacts of DI on student achievement and engagement, as well as examine DI practices in diverse educational settings.