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Journal : Jurnal Pendidikan MIPA

Students' Boredom Profile in Mathematical Problem-Solving: A Computational Thinking Perspective Rahmawati, Fadila; Nizaruddin, Nizaruddin; Murtianto, Yanuar Hery
Jurnal Pendidikan MIPA Vol 26, No 1 (2025): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpmipa.v26i1.pp131-152

Abstract

Boredom is a mental state characterized by discomfort and dissatisfaction caused by insufficient introduction of stimulus, challenge, or meaning in the environment. Objective: This study aims to describe students' boredom profile in solving mathematics problems based on their computational thinking ability. Methods: The method used was a descriptive qualitative approach with the subject of 62 students consisting of 63% female students and 37% male students of class IX SMP Negeri 1 Semarang, then took nine students with purposive sampling technique, taking subjects based on advanced, intermediate, and basic computational thinking ability tests, taken three each category based on recommendations from subject teachers. Findings: Student boredom is influenced by five factors, namely disengagement, high arousal, inattention, low arousal, and time perception. Students with advanced computational thinking ability generally do not feel bored because they feel challenged, although they can lose interest if the problem is too easy. Students with intermediate computational thinking ability have relatively low boredom, remaining engaged despite difficulties. In contrast, students with basic computational thinking ability are more susceptible to boredom due to difficulty understanding problems, frustration, a desire to quit, and a perceived lack of engaging activities. To overcome the problem of boredom, the recommendation from this study is to provide content-differentiated learning for each student, this can also be a recommendation for further research. Conclusion: Students with advanced computational thinking can feel bored if the problems given are too easy. Meanwhile, students with basic computational thinking feel bored when they find it difficult to understand the problem.       Keywords: boredom, mathematics, problem-solving, computational thinking.
Mathematical Problem-Solving Process Reviewed from Emotional Intelligence through Metacognition: A Literature Review Kusuma, Reyvall Angling; Rahmawati, Fadila; Murtianto, Yanuar Hery; Baldemor, Milagros
Jurnal Pendidikan MIPA Vol 25, No 1 (2024): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mathematical Problem Solving Reviewed from Emotional Intelligence through Metacognition: A Literature Review. Metacognition is an essential part of the math problem-solving process, with emotional intelligence helping to maintain student consistency and focus. Objectives: This study aims to provide an overview of research related to the role of metacognition in mathematical problem solving, particularly from the perspective of emotional intelligence, in the period 2013 to 2024. It focuses on how emotional intelligence affects monitoring, evaluating, and controlling cognitive states and regulating students' interpersonal interactions in problem-solving. Method: This study used the PRISMA Method (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) to select relevant literature. Data analysis was conducted with the help of VOSViewers and Bibliometrix R-Package software, which enabled the mapping of relationships between variables and identifying major trends in research. This study focused on articles that explored metacognition in mathematical problem-solving and the impact of emotional intelligence on this process. Findings: The results of this literature review show a 1.21% decrease in metacognition research trends from 2013 to 2024. Metacognition is connected to student variables, cognitive systems, problem-solving strategies, working memory, self-efficacy, active learning, and reflection. The integration of metacognition and emotional intelligence emphasizes their role in mathematics education. Conclusion: This study provides insights for further research on mathematics problem-solving regarding emotional intelligence through metacognition. In addition, variables such as active learning, problem-solving skills, math anxiety, student characteristics, and math awareness can be used as research references relevant to the current generation.        Keywords: metacognition, mathematics, problem-solving, emotional quotient. DOI: http://dx.doi.org/10.23960/jpmipa/v25i1.pp399-418