Research on Nonroutine Problems: A Hybrid Didactical Design for Overcoming Student Learning Obstacles

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
I. K. Sukarma, Muhamad G. Isnawan, Naif M. Alsulami
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引用次数: 0

Abstract

The multiplication of fractions was generally considered easy, but it became challenging when presented as a nonroutine problem. One solution to these challenges was integrating technology into learning. Therefore, the study is aimed at proposing a hybrid module as a solution. The design in this research was a didactical design research. The study involved 56 participants, aged 13–18 years, mainly female students from the Sasak tribe in an Indonesian junior high school. Researchers employed fraction comprehension tests, in-depth interviews, and a hybrid hypothesis module as primary instruments. For learning outcomes, NVivo-12-assisted thematic analysis was used, and for learning obstacles, retrospective-based qualitative analysis was used. The study findings revealed several factors that caused learning obstacles, including conceptual ontogenic, epistemological factors, and students’ restricted Internet access. The hybrid hypothesis module proved effective in assisting students by providing additional problem contexts and scaffolding, addressing previous learning obstacles. After implementation, there was a redesign of the hybrid module in the form of additional scaffolding to help students construct the concepts studied. This research concluded that the application of technology in the form of hybrid modules was able to minimize barriers to student learning.

非线性问题研究:克服学生学习障碍的混合教学设计
分数乘法一般被认为很容易,但当它作为一个非例题出现时,就变得具有挑战性。解决这些难题的办法之一是将技术融入学习。因此,本研究旨在提出一个混合模块作为解决方案。本研究的设计是一项教学设计研究。研究涉及 56 名参与者,年龄在 13-18 岁之间,主要是印度尼西亚一所初中的萨萨克部落女学生。研究人员采用了分数理解测试、深度访谈和混合假设模块作为主要工具。对于学习成果,采用了 NVivo-12 辅助主题分析法;对于学习障碍,采用了基于回顾的定性分析法。研究结果揭示了造成学习障碍的几个因素,包括概念本体因素、认识论因素和学生上网受限因素。事实证明,混合假设模块通过提供额外的问题情境和支架,有效地帮助了学生,解决了以往的学习障碍。在实施之后,对混合模块进行了重新设计,增加了帮助学生构建所学概念的支架。这项研究的结论是,以混合模块的形式应用技术,能够最大限度地减少学生的学习障碍。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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