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Visual Representations in Indonesian Chemistry Textbooks: Supporting Deep Learning for 2025 Educational Goals Ridhani, Jovita; Trisnaningsih, Sari; Fitriani, Ika Nur
Indonesian Journal of Instructional Media and Model Vol 7 No 1 (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.v7i1.6438

Abstract

Indonesian students struggle with abstract science concepts, as reflected in their low performance in international assessments. The primary learning resource is still textbook, and their visual materials are significant in helping students understand abstract concepts, especially in chemistry. However, visuals are often underutilized in science education. To address this gap, this study analyzes visual representations in Indonesian chemistry textbooks of the 2013 Curriculum to inform future improvements aligned with Indonesia’s 2025 educational goals. Two widely used textbooks for grades X and XII were examined to explore differences across grades. Using qualitative content analysis and a modified rubric, the study reveals that symbolic visuals that have explicit surface features (such as chemical formula and equations) dominate, while macroscopic and sub-microscopic visuals are underrepresented. In relation to the text, most visuals are completely related with the content but not directly referred to in the text, which may hinder students’ understandings. Positively, most visuals are contiguous (positioned close to the related text) with the related text and categorized as either with-caption or incorporated into text. These findings highlight gaps in textbook design, such as overreliance on symbolic visuals and poor visual-text integration. To support deep learning, textbooks should include multi-level visuals, ensure direct referencing, and provide clear captions. These changes are essential for fostering deeper understanding and aligning with Indonesia’s 2025 educational goals, offering insights for improving textbook quality. Indonesian students struggle with abstract science concepts, as reflected in their low performance in international assessments. The primary learning resource is still textbook, and their visual materials are significant in helping students understand abstract concepts, especially in chemistry. However, visuals are often underutilized in science education. To address this gap, this study analyzes visual representations in Indonesian chemistry textbooks of the 2013 Curriculum to inform future improvements aligned with Indonesia’s 2025 educational goals. Two widely used textbooks for grades X and XII were examined to explore differences across grades. Using qualitative content analysis and a modified rubric, the study reveals that symbolic visuals that have explicit surface features (such as chemical formula and equations) dominate, while macroscopic and sub-microscopic visuals are underrepresented. In relation to the text, most visuals are completely related with the content but not directly referred to in the text, which may hinder students’ understandings. Positively, most visuals are contiguous (positioned close to the related text) with the related text and categorized as either with-caption or incorporated into text. These findings highlight gaps in textbook design, such as overreliance on symbolic visuals and poor visual-text integration. To support deep learning, textbooks should include multi-level visuals, ensure direct referencing, and provide clear captions. These changes are essential for fostering deeper understanding and aligning with Indonesia’s 2025 educational goals, offering insights for improving textbook quality.
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.
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.
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.
Capturing Teacher Readiness for Adapting Playful Virtual Reality in The Learning Process Sukmawati, Fatma; Ridhani, Jovita; Trisnaningsih, Sari
Teknodika Vol 23, No 2 (2025): Teknodika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/teknodika.v23i2.106523

Abstract

Technological Content Knowledge (TCK) is a concept that describes the three main components of knowledge that a teacher must possess such as content, pedagogy, and technology. TCK is a concept of how technology and content affect each other. Teachers need to use technology and explain lesson concepts in the form of learning content with the help of certain technologies. However, the problem is that some teachers are not proficient in creating learning content using technology, even though they are already proficient in using technology in everyday life. So it is necessary to map the teacher's ability to use technology and create content so that training activities can be planned to complement their teaching needs. In response to these problems, we conducted mixed method research (qualitative and quantitative method) that aims to capture the level of technology and content-creating skills of teachers in Indonesia. We involved 20 Motivating Teachers from several elementary schools in Surakarta. This study is preliminary research as part of our ongoing Virtual Reality development project. Data were collected from questionnaires and documentation. Based on data analysis, 80.75% of teachers can use ICT, 79.67% teachers can apply ICT in learning, and only 30% can manage content. The next stage of this research will train these teachers to create subject matter content using playful technology, creating content about care for animals using virtual reality technology. This study provides recommendations to teachers and local governments that efforts to improve the quality of classroom learning can be started by improving teacher literacy technology first and then training them to create interesting technology-assisted learning content for students