Using Remap-STAD Learning Assisted by The GitMind Application to Improve Students' Problem-Solving Skills in Biology Education

Rena Silvia Agustina, S. Zubaidah, Hendra Susanto
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Abstract

Several studies have highlighted the essential nature of students' problem-solving skills. However, these studies have also revealed that students' problem-solving skills in Indonesia are currently lacking. Consequently, there is a need to empower and improve these skills. This research aims to investigate the impact of implementing the Remap-STAD learning model, with the assistance of the GitMind application, in order to enhance students' problem-solving abilities in the field of biology. The research design employed in this study is a pretest-posttest non-equivalent control group design. The research sample comprises 70 students from class X MIPA at SMAN 9 Malang, East Java. The experimental group was taught using the Remap-STAD learning model, supplemented with the GitMind application, while the control group was taught using the STAD learning model alone. Problem-solving skills were assessed through a description test comprising eight questions. Greenstein's (2012) scoring rubric, which encompasses eight indicators including problem identification, application of problem-solving steps, identification and evaluation of solutions, defense of solutions, real-world applications, inductive reasoning, and deductive reasoning, was employed for scoring. ANCOVA was utilized to analyze the data on problem-solving skills, with a significance level set at 5%. The Kolmogorov-Smirnov test was conducted to assess the normality of the data, while Levene's Test of Equality of Variances was used to evaluate homogeneity. The data analysis findings indicate significant treatment effects for the learning model (p < 0.05), thereby accepting the research hypothesis. The results demonstrate that the Remap-STAD learning model, combined with the GitMind application, can notably enhance students' problem-solving skills in the context of biology education. Consequently, the implementation of Remap-STAD, with assistance from the GitMind application, necessitates the development of instructional tools tailored to the chosen learning model and the specific skills being measured. This approach will promote and enhance learning activities, particularly in improving students' problem-solving capabilities.
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在生物教学中利用 GitMind 应用程序辅助 Remap-STAD 学习,提高学生解决问题的能力
一些研究强调了学生解决问题能力的重要性。然而,这些研究也表明,印尼学生目前缺乏解决问题的技能。因此,有必要增强和提高这些技能。本研究旨在调查在 GitMind 应用程序的协助下实施 Remap-STAD 学习模式对提高学生在生物领域解决问题能力的影响。本研究采用的研究设计是前测-后测非等效对照组设计。研究样本包括 70 名来自东爪哇马朗 SMAN 9 的 MIPA 十年级学生。实验组采用 Remap-STAD 学习模式并辅以 GitMind 应用程序进行教学,而对照组仅采用 STAD 学习模式进行教学。解决问题的能力通过由八个问题组成的描述测试进行评估。格林斯坦(2012)的评分标准包含八个指标,包括问题识别、解决问题步骤的应用、解决方案的识别和评估、解决方案的辩护、实际应用、归纳推理和演绎推理。采用方差分析对解决问题能力的数据进行分析,显著性水平设定为 5%。采用 Kolmogorov-Smirnov 检验来评估数据的正态性,采用 Levene 方差齐性检验来评估数据的同质性。数据分析结果表明,学习模式的治疗效果显著(P < 0.05),从而接受了研究假设。结果表明,在生物教学中,Remap-STAD 学习模式与 GitMind 应用程序相结合,能显著提高学生解决问题的能力。因此,在 GitMind 应用程序的协助下实施 Remap-STAD 时,有必要针对所选择的学习模式和所测量的特定技能开发教学工具。这种方法将促进和加强学习活动,特别是提高学生解决问题的能力。
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