Analysis of Factors That Influence Students' Mathematical Critical Thinking Skills: Intrapersonal Intelligence and Learning Motivation

Aswin, Aswin; Dasari, Dadan; Juandi, Dadang; Kurniawan, Surya

doi:10.24127/ajpm.v11i3.5440

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Research has demonstrated the positive impacts of learning motivation on critical thinking skills [105][106][107], and highlighted the importance of motivation in cultivating critical thinking dispositions oriented towards learning [108]. For instance, studies have found that students with high academic motivation are interested in problem-solving and critical thinking, leading to greater perfectionism and positive effects on their cognitive abilities and academic performance [109].…”

Section: H5: General Self-efficacy Has a Positive Impact On Learning ...mentioning

confidence: 99%

Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness

Jia,

2024

Systems

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In the aftermath of the COVID-19 pandemic, college students have faced various challenges that could negatively impact their critical thinking abilities due to disruptions to education, increased stress and anxiety, less social interaction, and the advancement of distance learning relying more heavily on digital tools. With the increasing integration of AI technology across sectors, higher education institutions have deployed various AI capabilities for intelligent campuses and modernized teaching. However, how to fully utilize AI capabilities to promote students’ thinking awareness on learning effectiveness is still not clear, as critical thinking is an essential skill set holding significant implications for college students’ development. This research adopts the resource-based theory (RBT) to conceptualize the university as a unified entity of artificial intelligence (AI) resources. It aims to investigate whether AI capabilities can foster critical thinking awareness among students by enhancing general self-efficacy and learning motivation. In particular, it examines the causal relationships between AI capabilities, general self-efficacy, motivation and critical thinking awareness. Primary data was collected through a questionnaire administered to 637 college students. Structural equation modeling was employed to test hypotheses pertaining to causality. The results showed that AI capabilities could indirectly enhance students’ critical thinking awareness by strengthening general self-efficacy and learning motivation, but the effect on critical thinking awareness was not significant. Meanwhile, general self-efficacy significantly affected the formation of learning motivation and critical thinking awareness. This indicates that AI capabilities are able to reshape the cognitive learning process, but its direct influence on thinking awareness needs to be viewed with caution. This study explored the role of AI capabilities in education from the perspective of organizational capabilities. It not only proves how AI facilitates cognition, but also discovered the important mediating role of general self-efficacy and motivation in this process. This finding explains the inherent connections between the mechanism links. Furthermore, the study expands research on AI capabilities research from the technical level to the educational field. It provides a comprehensive and in-depth theoretical explanation theoretically, guiding the practice and application of AI in education. The study is of positive significance for understanding the need for the future development of the cultivation of critical thinking awareness talents needed for future development through AI capabilities in education.

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Section: H5: General Self-efficacy Has a Positive Impact On Learning ...mentioning

confidence: 99%

Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness

Jia,

2024

Systems

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“…According to Aswin et al (2022), a person's capacity for mathematical critical thinking comprises a mental process that seeks to get to a reasoned conclusion about what to do or believe will happen. Many variables, such as intrinsic motivation and intrapersonal intelligence, affect pupils' capacity for mathematical critical thought.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Problem-Based Learning: Its' Effect on the Students’ Mathematical Skills

MAY C. ALVAREZ

2023

IJRP

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PBL is anchored by Students Centered Learning (SCL) concepts that follow constructivist learning theory principles. The study specifically evaluated the effect of problem-based learning on the mathematical skills of students. The research subjects were 143 grade eleven senior high school students taking academic strand. The research design used in this study are quasi-experimental research design for determining the mathematical skills of the students before and after the exposure to Problem-based Learning and descriptive research design in describing the level of the Problem-based Learning using the criteria from a questionnaire. The research instrument was a validated questionnaire about the Problem-based Learning also the test about Mathematical Skills, and the data were analyzed by using two ways t-test and Pearson R. The research found that the test of difference between before and after the exposure to Problem-based Learning of the respondents resulted that there is a significant difference in the level of the mathematical skills. Furthermore, this research also found that there is no significant effect of problem-based learning approach to the students' mathematical skills.

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“…computational thinking skills in mathematics (Putri et al, 2022;Yerizon et al, 2022;Widyatiningtyas et al, 2015). Apart from that, the influence of students' intrapersonal intelligence, learning motivation, and selfregulated learning on mathematical computational thinking abilities is still an area that requires further investigation (Aswin et al, 2022;Maratusyo seen et al, 2021;Mulyono et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Computational Thinking Skills in 21st Century Mathematics Learning

Mendrofa

2024

jiip

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Computational thinking skills are a crucial mental skill in the 21st century, enabling individuals to solve problems, understand data, and make decisions with a structured and computational-based approach. Integrating computational thinking skills in mathematics learning has an important role in preparing students to become skilled in thinking computationally in the 21st century. The method used in this research is library research in which relevant data are collected from sources such as books, dictionaries, journals, magazines, and others without the need to conduct direct investigations in the field. Applying computational thinking in mathematics learning will foster skills such as decomposition (breaking down a problem into manageable parts), pattern recognition, abstraction, and algorithm design as well as developing analytical and abstract thinking skills.

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Analysis of Factors That Influence Students' Mathematical Critical Thinking Skills: Intrapersonal Intelligence and Learning Motivation

Cited by 3 publications

References 7 publications

Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness

Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness

Problem-Based Learning: Its' Effect on the Students’ Mathematical Skills

Computational Thinking Skills in 21st Century Mathematics Learning

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