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This Author published in this journals
All Journal International Journal of Essential Competencies in Education International Journal of Ethnoscience and Technology in Education
Yusup, Muhammad Yusril
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Education Mathematics Other

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Development of Case-Based Learning Device with Cognitive Conflict Strategies to Improve the Critical Thinking Ability of Prospective Teacher Students Yusup, Muhammad Yusril; Harjono, Ahmad; Makhrus, Muh
International Journal of Essential Competencies in Education Vol. 3 No. 2: December 2024
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v3i2.1792

Abstract

This study aimed to develop and evaluate a Case-Based Learning (CBL) device incorporating cognitive conflict strategies to enhance the critical thinking abilities of prospective teacher students, a response to the global competitiveness challenge faced by Indonesian education. Through a methodological lens of research and development, the study meticulously validated a suite of educational devices, including lesson plans, student worksheets, teaching materials, and instruments designed to test critical thinking abilities. Additionally, the research scrutinized the practicality of these devices in actual classroom settings, ensuring their applicability in real-world educational environments. The findings from this comprehensive analysis revealed that the CBL device not only met the criteria for validity and reliability but also demonstrated significant practicality, as evidenced by its seamless integration and consistent application in classroom scenarios. A pivotal aspect of the study was the quantifiable enhancement in the critical thinking capabilities of the students involved, which was rigorously assessed through pretest and posttest measures. These assessments, underpinned by substantial effect sizes obtained via paired t-test analyses, highlighted a marked improvement in the critical thinking skills of the prospective teachers. The empirical evidence garnered through this research underscores the transformative potential of the CBL device, advocating for its widespread adoption in teacher education programs. The study posits that such an innovative educational device is quintessential for equipping future educators with the necessary skills to navigate and contribute effectively to the 21st-century educational landscape, thereby responding adeptly to the evolving demands of global educational competitiveness.
Development of Case-Based Learning Device with Cognitive Conflict Strategies to Improve the Critical Thinking Ability of Prospective Teacher Students Yusup, Muhammad Yusril; Harjono, Ahmad; Makhrus, Muh
International Journal of Essential Competencies in Education Vol. 3 No. 2 (2024): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v3i2.1792

Abstract

This study aimed to develop and evaluate a Case-Based Learning (CBL) device incorporating cognitive conflict strategies to enhance the critical thinking abilities of prospective teacher students, a response to the global competitiveness challenge faced by Indonesian education. Through a methodological lens of research and development, the study meticulously validated a suite of educational devices, including lesson plans, student worksheets, teaching materials, and instruments designed to test critical thinking abilities. Additionally, the research scrutinized the practicality of these devices in actual classroom settings, ensuring their applicability in real-world educational environments. The findings from this comprehensive analysis revealed that the CBL device not only met the criteria for validity and reliability but also demonstrated significant practicality, as evidenced by its seamless integration and consistent application in classroom scenarios. A pivotal aspect of the study was the quantifiable enhancement in the critical thinking capabilities of the students involved, which was rigorously assessed through pretest and posttest measures. These assessments, underpinned by substantial effect sizes obtained via paired t-test analyses, highlighted a marked improvement in the critical thinking skills of the prospective teachers. The empirical evidence garnered through this research underscores the transformative potential of the CBL device, advocating for its widespread adoption in teacher education programs. The study posits that such an innovative educational device is quintessential for equipping future educators with the necessary skills to navigate and contribute effectively to the 21st-century educational landscape, thereby responding adeptly to the evolving demands of global educational competitiveness.
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.
Co-Authors Ahmad Harjono Azmi, Irham Bilad, Muhammad Roil Habibi Habibi Muh. Makhrus Mustofa, Hisbulloh Als Ni Nyoman Sri Putu Verawati Prayogi, Saiful Taha, Hafsah