School and Student Factors and Their Influence on Affective Mathematics Engagement

Lee, Yunjin; Capraro, Robert M.; Biçer, Ali

doi:10.29333/ejecs/1212

Cited by 3 publications

(1 citation statement)

References 51 publications

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“…Moreover, this study examines the impact of m-learning on students' motivation, collaboration, problem-solving skills, and academic achievement in physics [8]. The subsequent sections of this study portray the theoretical underpinnings of m-learning, STEM education, and PjBL [9]. The review explores the integration of these approaches and analyzes the pedagogical implications for physics education [10].…”

Section: Introductionmentioning

confidence: 99%

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

Bakri,

Budi,

Rahmawati

2023

J. Phys.: Conf. Ser.

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Mobile learning (m-learning) has emerged as a promising educational approach that utilizes mobile devices to enhance learning experiences. In the field of STEM education, the integration of m-learning with PjBL as means to foster student engagement and facilitate deep learning. This Systematic Literature Review (SLR) aims to examine the existing research on integrating m-learning in STEM-PjBL specifically focused on physics learning. The research method used is an SLR collected 214 articles and then selected 50 articles based on themes about m-learning integration, STEM-PjBL, and physics learning from scientific international literature indexed by Google Scholar, Scopus, Research Gate, Elsevier, ERIC, Springer, Taylor & Francis Group. The synthesis of existing studies informs about 1) the effectiveness of integration m-learning in STEM for kinematics, magnetism, and other physics topics; 2) the benefits obtained are knowing the media for learning, increasing students’ motivation, HOTS, problem-solving skills, and science process skills; and 3) the challenges of technological development in education are very fast and associated with this instructional approach. With 18 articles or 36% of the entire article, devoted to the quantitative method, those three primary topics are the device/m-learning, PjBL, and learning models. Based on the findings of this literature review, m-learning materials for physics instruction, m-learning that is integrated with different learning models, and STEM-PjBL implementation for improving students’ 21st-century skills.

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Section: Introductionmentioning

confidence: 99%

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

Bakri,

Budi,

Rahmawati

2023

J. Phys.: Conf. Ser.

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Investigating the Connection Between Teachers' Factors and Students' Performance in Mathematics: A UAE Case Study

Wahbah,

Alkhidir,

Halawani

2023

2023 IEEE Frontiers in Education Conference (FIE)

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Attitudes and Educational Settings: A Correlational Analysis

Sicuan

2024

JIP

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This study explored the relationship between students' attitudes towards mathematics and their educational settings at Pangasinan State University (PSU) Binmaley Campus. Using a descriptive correlational research design, data was collected from 160 students across four programs: Criminology, Environmental Science, Fisheries and Aquatic Sciences, and Secondary Education major in Science. A survey questionnaire was administered to gather detailed insights into students' perceptions and experiences in mathematics classes. Results indicated that the majority of participants were in their late teens, with significant representation from 19 and 20-year-olds. Female students constituted 57.5% of the sample. Firstyear students were the predominant group, highlighting the need for transitional support in higher education. The study found that while students generally agreed that mathematics was important and felt confident in their abilities, it was not necessarily their favorite subject. Perceptions of the educational setting at PSU Binmaley were generally positive, with the highest agreement on the classroom environment being conducive to learning. However, areas such as noise level management and teaching pace received slightly lower scores. Importantly, a significant moderate positive correlation (r = 0.444, p < 0.01) was found between students' perceptions of their educational setting and their attitudes towards mathematics, emphasizing the impact of a supportive learning environment on student engagement. These findings underscored the critical role of tailored educational interventions to enhance mathematics learning and engagement, aligning with broader educational policies and research. The study's insights were valuable for informing strategies to improve mathematics education at PSU Binmaley, fostering a more positive and engaging learning experience.

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School and Student Factors and Their Influence on Affective Mathematics Engagement

Cited by 3 publications

References 51 publications

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

Investigating the Connection Between Teachers' Factors and Students' Performance in Mathematics: A UAE Case Study

Attitudes and Educational Settings: A Correlational Analysis

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