scholarly journals Designing Self-directed Learning in Mathematics for High Ability Learners in Dunman High School, Singapore

2018 ◽  
Vol 9 (3) ◽  
pp. 3877-3885
Author(s):  
Geok Hwa Khoo
Keyword(s):  
High School ◽  
High Ability ◽  
Self Directed Learning ◽  
Directed Learning

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 Evidence of Self-Directed Learning on a High School Robotics Team

2014 ◽  
Vol 9 (4) ◽  
pp. 77-88
Author(s):  
Nathan R. Dolenc ◽  
Claire Mitchell ◽  
Robert H. Tai
Keyword(s):  
High School ◽  
Student Behavior ◽  
Learning Experience ◽  
Leadership Roles ◽  
Self Directed Learning ◽  
Directed Learning ◽  
Physical Attributes ◽  
Workplace Factors ◽  
Positive Effect

Self-directed learning is described as an individual taking the initiative to engage in a learning experience while assuming responsibility to follow through to its conclusion. Robotics competitions are examples of informal environments that can facilitate self-directed learning. This study examined how mentor involvement, student behavior, and physical workspace contributed to self-directed learning on one robotics competition team. How did mentors transfer responsibility to students? How did students respond to managing a team? Are the physical attributes of a workspace important? The mentor, student, and workplace factors captured in the research showed mentors wanting students to do the work, students assuming leadership roles, and the limited workspace having a positive effect on student productivity.

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 Online Learning Readiness of Junior High School Students in Denpasar

2020 ◽  
Vol 7 (2) ◽  
pp. 172-188
Author(s):  
Kadek Erlita Dwiyanti ◽  
I Putu Yogi Pratama ◽  
Ni Putu Ines Marylena Candra Manik
Keyword(s):  
High School ◽  
Online Learning ◽  
Junior High School ◽  
Mixed Method ◽  
Quantitative Data ◽  
Self Directed Learning ◽  
Learning Readiness ◽  
E Learning ◽  
Directed Learning ◽  
Online Learning Readiness

ABSTRACTThe Covid-19 pandemic has caused learning to be carried out online. Not all students, however, are ready for online learning. This study aims to examine the level of readiness of eighth-grade students at a junior high school through an explanatory sequential mixed method design consisting of quantitative and qualitative phases. Student readiness for online learning in this study was reviewed from five dimensions: self-directed learning, motivation for learning, computer/internet self-efficacy, learner control, and online communication self-efficacy. The Online Learning Readiness Scale (OLRS) survey proposed by Hung (2010) with a five-point-Likert scale was used to collect quantitative data. The data were analyzed quantitatively, and the level of readiness was measured utilizing the e-learning readiness assessment model suggested by Aydin and Tasci (2005). Follow-up interviews were then held to support the quantitative data. The results showed that the majority of students entered the level of "ready but needs a few improvements". However, there was one item in the dimension of self-directed learning that was included in the level of "not ready needs some work". The implication of this study is the need to encourage students to actively communicate in online learning, especially for shy students.ABSTRAKPandemi Covid-19 menyebabkan pembelajaran dilakukan secara online. Namun, tidak semua siswa siap dengan pembelajaran online. Penelitian ini bertujuan untuk menguji tingkat kesiapan siswa kelas VIII sebuah sekolah menengah pertama melalui penelitian explanatory sequential mixed method yang terdiri dari tahap kuantitatif dan kualitatif. Kesiapan siswa untuk pembelajaran online ditinjau dari lima dimensi: pembelajaran mandiri, motivasi belajar, efikasi diri komputer / internet, kontrol peserta didik, dan efikasi diri komunikasi online. Survei Online Learning Readiness Scale (OLRS) yang digagas oleh Hung (2010) dilengkapi dengan skala Likert lima poin digunakan untuk mengumpulkan data kuantitatif. Data kemudian dianalisis dengan menggunakan analisis deskriptif kuantitatif dan tingkatannya diukur dengan model penilaian kesiapan E-learning yang dikemukakan oleh Aydin dan Tasci (2005). Wawancara kemudian dilakukan untuk mengumpulkan data guna mendukung data kuantitatif. Hasil penelitian menunjukkan bahwa secara keseluruhan siswa memasuki level “siap, tetapi perlu sedikit perbaikan”. Namun, ada satu item dalam dimensi pembelajaran mandiri yang termasuk dalam tingkat "belum siap, perlu peningkatan". Implikasi dari penelitian ini adalah perlunya mendorong siswa untuk aktif berkomunikasi dalam pembelajaran online, khususnya bagi siswa yang pemalu.

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