Problem-based learning model on mathematical analytical thinking ability and science process skills

Syaiful,; Kamid, Kamid; Kurniawan, Dwi Agus; Pratama, Wahyu Adi

doi:10.24042/ajpm.v12i2.9744

Cited by 12 publications

(11 citation statements)

References 37 publications

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“…An analysed study used classroom action research (Yuenyong and Yuenyong, 2021). Two studies that have been investigated used a correlational design (Mayarni and Nopiyanti, 2021; Syaiful et al , 2021). The seven studies using this design were likely to be interested in exploring the extent to which changes in AT skills can be associated with changes in other learning outcomes or identify patterns or trends in AT skills.…”

Section: Resultsmentioning

confidence: 99%

“…The variety of theories used in this research suggests that there is no one-size-fits-all approach to understanding the phenomenon under investigation. Three of these studies used constructivism theory (Anggoro et al , 2021; Khamsaengmat and Kanjug, 2022; Syaiful et al , 2021) to guide their research, while the other two used intelligence theory as their theoretical framework (Azid and Md-Ali, 2020; Rodrangsee et al , 2022). In addition, one of the studies included Dale’s Cone of experience/multimedia theory as the basis of their research (Nur’Azizah et al , 2018).…”

Section: Resultsmentioning

confidence: 99%

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A systematic review of analytical thinking skills in STEM education settings

Hidayat,

Nugroho,

Zainuddin

et al. 2023

ILS

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Purpose In the realm of education, there has been an increasing emphasis on developing analytical thinking (AT) in the past few years. This systematic review focuses on an analysis of journal publications that have explored AT within the context of science, technology, engineering and mathematics (STEM) education. This analysis investigated four primary issues: (1) the operational definition that was used; (2) the types of theories that were used; (3) the interventions that were implemented to enhance AT skills; and (4) the research designs that were used. Design/methodology/approach To ensure a comprehensive and thorough review, we used the guidelines of preferred reporting items for systematic reviews and meta-analysis. Findings A comprehensive review of 28 pertinent scholarly articles reveals that scholars frequently rely on the concepts proposed by Anderson (2002), Marzano and Kendall (2008), Rodrangsee and Tuntiwongwanich (2021) and Suyatman et al. (2021) to establish a framework for delineating the competencies associated with analytical thinking (AT). Quasi-experimental designs were the most frequently used research designs in the studies analysed, followed by research and development approaches and then correlational designs. Most researchers have focused on investigating the effectiveness of problem-based learning as an intervention for improving AT skills. However, most research indicates that the theories or theoretical frameworks used to guide the research must be evident. Originality/value To the extent the authors know, this study represents the initial comprehensive examination of analytical thinking in STEM education. It presents a consolidated summary of the available evidence, assessing its quality and bringing it together in a single resource.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A systematic review of analytical thinking skills in STEM education settings

Hidayat,

Nugroho,

Zainuddin

et al. 2023

ILS

View full text Add to dashboard Cite

show abstract

“…It is proven from the results of sig. smaller than 0.05 (Amin et al, 2021;Syaiful et al, 2021). It shows a relationship because the requirements of the regression test are still less than 0.05 (Margaret Dwi Wiwik Ernawati et al, 2022;Kamid et al, 2022;Rohana et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

The Effect of Knowledge and Perceptions on the Prospect of Using Biofuel-Based Alternative Energy Sources

Anggereini

Aina²,

Nainggolan³

2022

JERE

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Indonesia's energy needs each year increase in line with economic growth and population. Indonesia still needs to work on achieving its development targets in the energy sector to date. Dependence on fossil energy, especially petroleum, is still high to meet domestic energy consumption. Non-renewable energy reserves such as oil, natural gas, and coal are very worrying because they run low. The urgency in this study is very important because there are rarely studies that compare the Knowledge and Perceptions about the Prospects of Utilizing Biofuel-Based Alternative Energy Sources. This study aims to analyze the effect of knowledge and perceptions about the Prospects of Utilizing Biofuel-Based Alternative Energy Sources. This research method is a mixed method, with the sampling technique in this study being multistage random sampling. The number of respondents as a sample is 100 respondents. The data collection instruments used were in the form of questionnaires, in-depth interviews, and documentation. Data analysis in this study is divided into descriptive statistical testing (mean, median, min, and max) and inferential (simple regression). The regression test results show an influence of Knowledge and Perception about the Prospects of Utilizing Biofuel-Based Alternative Energy Sources.

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“…The ability to make mathematical connections needs to be developed through learning models. The selection of learning models used must be of high quality (Syaiful et al, 2021). The learning model has a profound effect on the learning process and outcomes (Brinus et al, 2019;Cahyaningrum et al, 2019;Hanifah et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Systematic Literature Review: MATHEMATICAL CONNECTIONS THROUGH PROBLEM-BASED LEARNING IN TERMS OF ADVERSITY QUOTIENT

2023

JME (Journal of Mathematics Education)

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Mathematical connection is a skill needed to understand mathematical concepts and relate them to formulas taught, once taught, applied in other subjects, and applied to the real world. Every student has differences in terms of mathematical connection ability. This is known as the Adversity Quotient (AQ). AQ is divided into three groups: Climbers, Campers, and Quitters. Apart from the AQ review, an appropriate learning model to improve students' mathematical connections is the Problem-Based Learning (PBL) model. PBL is a learning model related to everyday problems. This study aims to (1) determine the effect of AQ on mathematical connection skills in the PBL learning model and (2) determine the influence of AQ on mathematical connection skills. The discussion in this article uses the SLR (System Literature review) method searched from Google Scholar, Scimago Journal Rank, and Publish or Perish from 2013 to 2023. The results of this study get 22 relevant articles. Of the 24 articles studied, 14 concluded that mathematical connections are appropriate for PBL learning models, and eight concluded that AQ's effect on students' mathematical connections is proportional or directly proportional. Students with a good AQ will have good math connections.

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Problem-based learning model on mathematical analytical thinking ability and science process skills

Cited by 12 publications

References 37 publications

A systematic review of analytical thinking skills in STEM education settings

A systematic review of analytical thinking skills in STEM education settings

The Effect of Knowledge and Perceptions on the Prospect of Using Biofuel-Based Alternative Energy Sources

Systematic Literature Review: MATHEMATICAL CONNECTIONS THROUGH PROBLEM-BASED LEARNING IN TERMS OF ADVERSITY QUOTIENT

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