A Study on the Analysis of Teachers" Recognition of Career Education and High School Students" Career Development Competency, Self-Directed Learning Ability

2020 ◽  
Vol 32 (6) ◽  
pp. 1531-1542
Author(s):  
Joo-Young JUNG
Keyword(s):  
High School ◽  
High School Students ◽  
Career Development ◽  
Career Education ◽  
Learning Ability ◽  
Self Directed Learning ◽  
School Students ◽  
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 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.

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