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Analysis of Students' Design Thinking in Creating 3D Creative Works Utilizing Mobile Technology within the Framework of Local Wisdom Ardi, Raden Fanny Printi; Bilad, Muhammad Roil; Mustofa, Hisbulloh Als; Maulachela, Adam Bachtiar
International Journal of Ethnoscience and Technology in Education Vol. 1 No. 1 (2024): March
Publisher : Faculty of Engineering and Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/ijete.v1i1.10879

Abstract

This study investigated students' design thinking in creating 3D creative works using mobile technology in the framework of local wisdom. By employing a mixed-methods approach, the study compares the design thinking abilities of students who engaged with mobile technology in the context of local wisdom with those who donot. Quantitative analysis, involving sixty students, revealed that the experimental group, exposed to mobile technology and local wisdom, demonstrated significantly higher competencies in design thinking, particularly in areas such as comfort with uncertainty, human-centeredness, and collaborative work. Qualitative insights further illuminated the enriched learning experience, showcasing students' deepened engagement and connection to cultural heritage through the integration of local wisdom into their 3D creative projects. The findings underscore the pivotal role of mobile technology and local wisdom in fostering innovative design thinking, suggesting that this approach not only facilitates creative problem-solving but also instills a sense of cultural identity and pride among students. Despite its focused educational context and limited sample size, the study suggested broader implications for curriculum development, recommending the incorporation of these elements into design and creative courses to enhance students’ design skills and cultural understanding.
Integration of Artificial Intelligence (ChatGPT) into Science Teaching and Learning Mustofa, Hisbulloh Als; Kola, Aina Jacob; Owusu-Darko, Isaac
International Journal of Ethnoscience and Technology in Education Vol. 2 No. 1 (2025): March
Publisher : Faculty of Engineering and Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/ijete.v2i1.14195

Abstract

The integration of artificial intelligence (AI) into science education is transforming teaching and learning by offering innovative solutions to complex challenges. This study aims to review current trends in AI utilization, particularly ChatGPT, and explore its potential to improve problem-solving in science education. A systematic literature review was conducted using PRISMA guidelines, complemented by experiential exploration and qualitative insights from a thermodynamics lecturer. The findings highlight AI’s ability to provide accurate explanations, generate diverse educational materials, and support interactive learning. However, limitations were identified, including inaccuracies in handling advanced or ambiguous problems and the potential for overreliance by students. Technical and ethical challenges, such as infrastructure requirements, educator preparedness, and concerns about bias, were also noted. These limitations underscore the importance of human oversight and critical evaluation of AI-generated content. The study recommends enhancing AI’s contextual understanding, visualization capabilities, and adaptability to individual learner needs. By harmonizing AI-driven innovations with traditional teaching methods, educators can leverage these tools to create inclusive and effective learning environments, advancing the transformative potential of AI in science education.
Analysis of Student Conceptions based on Cognitive Style on Newton Law Understandings Mustofa, Hisbulloh Als; Zain, Zahida Aliatu; Tsania, Hartami; Azman, Mohamed Nor Azhari; Marmoah, Sri; Masfuah, Siti
Jurnal Pendidikan IPA Indonesia Vol. 13 No. 2 (2024): June 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/mx0v4952

Abstract

Differences in students’ cognitive style aspects allow for differences in students’ conceptions of their understanding of Newton’s laws. This study aims to determine the profile of students’ conceptions in-depth based on their cognitive styles. This research used a qualitative method with a descriptive phenomenological design involving cognitive style tests with GEFT (Group Embedded Figured Test) on 30 students to be categorized based on their cognitive styles. From the 30 participants, three strongly field-dependent and three strongly field-independent students were selected. Six selected students were diagnosed using a four-tier diagnostic instrument for their understanding and conceptions. Semi-structured interviews were also conducted to investigate the students’ conceptions in depth. This study concludes that field-independent (FI) students frequently display an inclination toward analytical thinking by self-exploring. However, they frequently experience difficulties in analyzing concepts without a solid foundation in physics, which can result in certain theoretical misconceptions. Conversely, field-dependent (FD) students can receive a broader range of information but demonstrate difficulties in analytical tasks, such as interpreting graphs and establishing causal relationships between physical quantities, which can result in correlational misconceptions. To rectify this misconception, it is imperative to implement a bespoke pedagogical strategy that integrates efficacious elucidations, tangible exemplifications, structured scaffolding, inquiry, and methodical practical exercises.
When Teaching Factories Meet Project-Based Learning: Rethinking Evidence of Impact on Students’ Soft Skills and Entrepreneurial Intention Verawati, Ni Nyoman Sri Putu; Prayogi, Saiful; Mustofa, Hisbulloh Als
Lensa: Jurnal Kependidikan Fisika Vol. 13 No. 2: December 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-lkf.v13i2.19052

Abstract

This commentary examines Hulyadi et al. (2025), which reports that a project-based teaching factory (PbTF) model in a chemical cleaning industry context improved students’ soft skills and entrepreneurial intention over a short intervention. The article’s key contribution is practical: it operationalizes “teaching factory” as a sequenced learning design with validated tools and measurable outcomes. However, the strength of causal claims is limited by the one-group pretest–posttest design, a small cohort, and outcomes closely aligned with course activities. The observed gains may reflect increased opportunities to collaborate, assessment familiarity, or short-term motivational uplift rather than durable competence and entrepreneurial behavior. This commentary offers a cautious reading of the evidence, proposes alternative interpretations consistent with the reported data, and suggests evaluation steps that would clarify mechanisms, durability, and generalizability. PbTF-PjBL appears promising as an applied learning package, but stronger comparative and longitudinal evidence is needed before treating it as a robust impact model.
CHILDREN'S ARTISTIC EXPERIENCE IN DRAWING EXPRESSIONS ON THE MENARA KUDUS Ridlo, Mohammad; Fajrie, Nur; Kanzunnudin, Mohammad; Mustofa, Hisbulloh Als
Prima Magistra: Jurnal Ilmiah Kependidikan Vol. 7 No. 1 (2026): Volume 7 Number 1 (January 2026)
Publisher : Program Studi PGSD Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/jpm.v7i1.6045

Abstract

The values embedded in the Menara Kudus culture in Indonesia emphasize the preservation and development of local traditions. One way children express their understanding of local culture is through artistic activities, particularly drawing. This study aims to narrate and measure children's artistic experiences in creating drawings themed on the Menara Kudus, using cultural evidence from its historical legacy as a learning resource. This study employed a mixed-methods sequential exploratory design. The initial qualitative phase involved interviews, observations, and documentation to explore children aged 9 to 12's artistic experiences. The subsequent quantitative phase applied descriptive statistics to support and measure the findings from the qualitative data. All qualitative data were analyzed using an interactive model. The results show that children produced drawings of the Menara Kudus based on their personal experiences and interests, with artworks displaying varying levels of precision, imagination, and creativity. The creative process was found to consist of three phases: pre-creation (encompassing both direct and indirect experiences), creation (encompassing tool preparation, technical mastery, time management, and effective communication), and post-creation (encompassing self-confidence and interpretation). The overall mean score for the artistic experience was 119.43, with mean scores of 22.57, 80.95, and 15.91 for the pre-creation, creation, and post-creation stages, respectively. The findings indicate that children's involvement in the visual arts themed on Menara Kudus is categorized as moderate. It is therefore recommended that children's skills in capturing the original form of objects be enhanced.
The Analysis of Students’ Design Thinking in Inquiry-Based Learning in Routine University Science Courses Prayogi, Saiful; Ardi, Raden Fanny Printi; El Yazidi, Rachid; Tseng, Kuang-Chih; Mustofa, Hisbulloh Als
International Journal of Essential Competencies in Education Vol. 2 No. 1 (2023): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v2i1.1338

Abstract

Design thinking has garnered widespread recognition for its distinctive problem-solving and innovative approach, attracting the attention of both professionals and academics. It has expanded beyond its origins in the design field and is now being applied in diverse domains. This article focuses on the integration of design thinking into science education, particularly within the framework of inquiry-based learning. To comprehensively explore the study objectives, a mixed methods approach involving both quantitative and qualitative methods was employed. The study included 102 first-year university students enrolled in science courses. The assessment of students' design thinking dimensions is conducted using instruments that have been rigorously validated and proven to be reliable in terms of their psychometric properties. The findings revealed that students exposed to inquiry-based learning demonstrated significant improvements in their design thinking skills compared to those taught through conventional methods. Furthermore, interviews with lecturers provided additional support for the positive impact of inquiry-based learning on students' design thinking abilities.
Online Self-Regulated Learning Assisted by Virtual Labs to Train STEM Student's Critical Thinking Skills Ernita, Nevi; Bahtiar, Bahtiar; Zulkarnaen, Zulkarnaen; Mustofa, Hisbulloh Als; Faresta, Rangga Alif
International Journal of Essential Competencies in Education Vol. 3 No. 1 (2024): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v3i1.1917

Abstract

This study investigated the effectiveness of integrating online self-regulated learning with virtual labs in enhancing critical thinking skills among STEM students. The research adopted a controlled experimental design involving two groups—experimental and control—over a two-month period, employing a mix of interactive virtual labs and structured online self-regulated learning strategies for the former, while maintaining traditional educational methods for the latter. Results indicated significant improvements in the experimental group's critical thinking capabilities across multiple indicators such as interpretation, analysis, evaluation, inference, explanation, and self-regulation, compared to modest improvements in the control group. The experimental group benefited from a dynamic and interactive learning environment that allowed for hands-on experiments and simulations, fostering a deeper understanding and engagement with scientific concepts. This environment, enhanced by the strategic application of self-regulated learning techniques, facilitated a more effective development of critical thinking skills than traditional methods. The study highlighted the potential of virtual labs combined with self-regulated learning to significantly enhance educational outcomes in STEM education, suggesting that such integrative approaches could better prepare students for the complexities of the modern scientific landscape. Additionally, the study underscored the need for future research to explore these strategies across a more diverse and broader educational context to confirm these findings and further refine the educational interventions employed.
Analysis of Students’ Difficulties in Using ChatGPT to Solve Routine Mechanics of Motion Problems Bilad, Muhammad Roil; Azmi, Irham; Yusup, Muhammad Yusril; Habibi, Habibi; Mustofa, Hisbulloh Als
International Journal of Ethnoscience and Technology in Education Vol. 3 No. 1 (2026): March
Publisher : Faculty of Engineering and Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/ijete.v3i1.19616

Abstract

This study analyzes university students’ difficulties in using ChatGPT to solve routine mechanics of motion problems by mapping challenges across the problem-solving cycle and explaining how these difficulties emerge during student–AI interactions. A sequential explanatory mixed-methods design was employed. In the quantitative phase, 70 Physics Education and Science Education undergraduates who had completed Basic Physics or Mechanics and had used ChatGPT for learning completed a 24-item Likert questionnaire covering six dimensions: problem representation, prompt formulation, understanding solution steps, evaluation and verification, integration into one’s own solution, and self-regulation/technical constraints. Descriptive statistics, ANOVA with post-hoc tests, and correlation analyses were conducted. The overall difficulty level was moderate (M ≈ 3.22), with 61.4% in the moderate category and 18.6% in the high category. Evaluation and verification emerged as the most critical difficulty (M ≈ 3.69; 45.7% high). Significant differences were found by semester and frequency of ChatGPT use, but not by study program; early-semester and rare users reported higher difficulty, especially in verification. Correlations indicated a chain linking prompting, understanding, and verification (e.g., D3–D4 r = 0.62). In the qualitative phase, interviews and reflections with nine students (high/moderate/low difficulty) showed that incomplete problem representation and reactive prompt revision led to superficial understanding and premature trust in AI outputs, with limited unit, sign, and plausibility checks. The findings highlight verification as the main bottleneck and support instructional designs that foreground modeling, evaluative routines, and metacognitive regulation in AI-supported physics learning.