scholarly journals Incorporating a Metacognitive Learning Model to Improve Geometric Thinking in High-School Students

2021 ◽  
Vol 10 (5) ◽  
pp. 102
Author(s):  
Erez Nahmias ◽  
Mina Teicher
Keyword(s):  
High School ◽  
High School Students ◽  
Mathematical Thinking ◽  
Learning Model ◽  
Added Value ◽  
Self Directed Learning ◽  
School Students ◽  
Geometric Thinking ◽  
Directed Learning ◽  
Metacognitive Guidance

Thinking development processes among high-school students is an important and significant issue that has been widely investigated (Leviathan, 2012; Ball, 1996; De Risi, 2015). A few studies discuss the development of mathematical thinking as this field contains additional difficulties to the traditional factors, teachers, students, and parents, and is one of the most important areas taught in school, according to De Risi (2015). Due to the importance of this subject, the challenge facing researchers, mathematicians, and educators is how to improve students’ abilities and achievements in mathematics. In recent years, researchers have found that in order to improve students’ achievements and abilities in mathematics, one can use self-direction. Self-direction is a strategy by which the learner acquires the ability to cope with learning from several aspects and contributes to inking development. In this study, we showed that self-directed learning with an emphasis on metacognition would improve students’ understanding of the subject in question. Using the metacognitive guidance model, the students acquire and develop learning skills that contribute to developing their geometric thinking. In this study, there is the added value of using a learning model based on metacognitive guidance and its significant contribution to combining multiple subjects into one problem.

scholarly journals Self-Directed Learning, Self-Efficacy in Learning, and Academic Motivation of Public Senior High School Students

2021 ◽  
pp. 19-34
Author(s):  
Joenel D. Coros ◽  
Dennis V. Madrigal
Keyword(s):  
High School ◽  
High School Students ◽  
Significant Relationship ◽  
Self Efficacy ◽  
Academic Motivation ◽  
Family Income ◽  
Self Directed Learning ◽  
School Students ◽  
Directed Learning ◽  
Senior High School Students

Aims: The absence of data complementing independent learning, which is vital in the pandemic-induced distance learning, propelled the conduct of study. The study aimed to assess Self-Directed Learning, Self-Efficacy in Learning, and Academic Motivation of Public Senior High School Students, and investigated what demographic variable may influence each. It also sought to determine the correlation between the constructs. Methodology: The study utilized descriptive and correlational design. Respondents were the 332 Grade-12 students from the Schools Division of Cadiz City, School Year 2020-2021, determined using multi-stage random sampling. Data were generated using the Self-Directed Learning Inventory, Self-Efficacy in Learning Form, and Academic Motivation Scale – High School Version. Data were analyzed using mean, standard deviation, chi-square test of association, and Spearman rho rank correlation. Results: There was no significant relationship between demographics and Self-Directed Learning, likewise with Academic Motivation. There was no significant relationship between sex and Self-Efficacy in Learning, however the latter had a significant relationship with family income (P=.05) and track (P=.03). There was a significant relationship between self-directed learning and self-efficacy in learning (P=.000), and between self-directed learning and academic motivation (P=.000). Conclusion: Student demographics do not influence their disposition to engage in learning activities and with their perceived reasons to participate in it. Family income, together with the track where they belong, may influence their belief in their innate capabilities. Students who are internally driven to learn, and who have strong belief in their capabilities, will find all means to master competence on academics, even without the help of other people.

scholarly journals Patterns of Computational Thinking Development while Solving Unplugged Coding Activities Coupled with the 3S Approach for Self-Directed Learning

2020 ◽  
Vol 9 (3) ◽  
pp. 1025-1045
Author(s):  
Arinchaya Threekunprapa ◽  
Pratchayapong Yasrİ
Keyword(s):  
High School ◽  
High School Students ◽  
Computer Science ◽  
Computational Thinking ◽  
Cost Effective ◽  
Self Directed Learning ◽  
School Students ◽  
Directed Learning ◽  
Science Concepts ◽  
The Cost

Using unplugged coding activities to promote computational thinking (CT) among secondary learners has become increasing popular. Benefits of using unplugged coding activities involve the cost-effective implementation, the ability to promote computer science concepts and self-efficacy in learning computer programming, and the engaging nature of active learning through collaboration. However, there is insufficient information regarding qualitative investigation on how learners develop their CT skills while working on unplugged coding tasks. This study therefore developed unplugged coding activities using flowcharts for high school students to learn computer science concepts, and to promote their CT skills. The activities consisted of five missions encompassing the concepts of sequence, repetition, input & variable, condition, and loop with condition. The data collection was carried out with 120 high students whose participation was video recorded and observed. A thematic analysis revealed that patterns of CT development started from initially developed, to partially developed and fully developed stages, respectively. The various stages were derived from different abilities to apply the computer science concepts to complete the missions with different expressions of CT skills. In addition, the study proposed a 3S self-directed learning approach for fostering the CT development, composing of self-check (in pairs), self-debug (in pairs), and scaffolding. It is therefore suggested to use the 3S model integrated with the unplugged coding activities for developing CT among high school learners.

scholarly journals The Implementation of Mathematical Problem-Based Learning Model as an Effort to Understand the High School Students’ Mathematical Thinking Ability

2019 ◽  
Vol 12 (2) ◽  
pp. 117 ◽  
Author(s):  
Sriyanti Mustafa ◽  
Vernita Sari ◽  
Baharullah Baharullah
Keyword(s):  
High School ◽  
High School Students ◽  
Mathematical Thinking ◽  
Mathematical Problem ◽  
Problem Based Learning ◽  
Learning Model ◽  
Assignment Test ◽  
School Students ◽  
Thinking Ability ◽  
Mathematical Problems

The ability to think mathematically includes many mental activities which involve the workings of the brain. To describe students’ mathematical thinking ability, one of the efforts that can be done is to apply the mathematical problem-based learning model. It involves students to solve a problem through scientific method stages, so that students can learn the knowledge related to the problem and also have the ability to solve the problem. This study aims to describe students’ mathematical thinking ability through Mathematical Problem-Based Learning Model.This type of research is qualitative. The subjects of the study were senior high school students in the city of Parepare. The data collections were conducted by observing the learning process in class and giving the assignment/test to the students. The collected data were then analyzed qualitatively. Based on the results of research and discussion it is concluded that the students ability to think have sequences in the activities of mathematical thinking with the application of mathematical problems-based learning model. Therefore, the students’ mathematical thinking ability is described as follows: (1) identification stage of the problem, (2) the grouping stages, and (3) drawing conclusions.

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