Self-Directed Learning With Technology and Academic Motivation as Predictors of Tablet PC Acceptance

2018 ◽  
pp. 87-102 ◽  
Author(s):  
Ramazan Yilmaz ◽  
Fatma Gizem Karaoglan Yilmaz ◽  
Cigdem Cavus Ezin
Keyword(s):  
High School ◽  
High School Students ◽  
Structural Equation ◽  
Academic Motivation ◽  
Tablet Pc ◽  
Self Directed Learning ◽  
School Students ◽  
Acceptance Scale ◽  
Directed Learning ◽  
Learning With Technology

In this study, it has been attempted to examine the role of self-directed learning with technology and academic motivation in students' status of tablet PC acceptance at a high school where each student's processes of classroom and out of class learning are tried to be supported upon delivery of tablets to each student. The participants of the research have been consisted of 310 high school students. The data of the research has been obtained with use of questionnaire questions developed by the researchers, the tablet PC acceptance scale, self-directed learning with technology scale and the academic motivation scale. The structural equation modelling has been made use of data analysis. Research findings have shown that self-directed learning with technology and academic motivation were in turn effective in students' tablet PC acceptance. Some suggestions have been made for students, teachers and administrators in the light of findings of the research.

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 Investigating the Role of Information Literacy and Self-directed Learning in Predicting Students’ Academic Motivation

2021 ◽  
Vol 9 (4) ◽  
pp. 74-85
Author(s):  
Taghi Akbari ◽  
Keyword(s):  
High School Students ◽  
Information Literacy ◽  
Academic Motivation ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Skills Training ◽  
Self Directed Learning ◽  
School Students ◽  
Statistical Population ◽  
Directed Learning

Objective: The present study aimed to predict academic motivation based on self-directed learning and information literacy. Methods: This was an applied and correlational study. The statistical population of the study includes all high school students in Ardabil City, Iran, in the academic year of 2018-2019. Of them, 360 students from the 11th and12th grades (180 girls and 180 boys) were selected by multistage cluster random sampling. To collect the necessary data, the Self-Directed Learning Scale, the Multidimensional Assessment of School Motivation, and the Information Literacy Assessment of Students were used. Pearson correlation coefficient and stepwise multiple linear regression analysis were employed to analyze the obtained data in SPSS v. 20. Results: The current research results signified a significant direct relationship between information literacy, self-directed learning, and academic motivation; information literacy also could predict academic motivation in the study subjects (P<0.01). This predictability was significant concerning self-directed learning. Conclusion: The obtained data indicated that self-directed learning skills training and improving information literacy were effective in students’ learning and academic motivation.

scholarly journals Psychometric properties of the Adolescents’Academic Motivation Scale (AAMS) in a representative sample of Dominican Republic high school students

2022 ◽  
Vol 38 (1) ◽  
pp. 93-100
Author(s):  
Betty Reyes ◽  
Irene Fernández ◽  
Sergio Pérez-Belmonte ◽  
Saturnino De los Santos ◽  
José M. Tomás ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Academic Success ◽  
Dominican Republic ◽  
Latent Variables ◽  
Representative Sample ◽  
Structural Equation ◽  
Academic Motivation ◽  
School Students ◽  
Motivation Scale

Within the growing body of research that has focused on academic success, academic motivation has gathered considerable attention. The aim of this this research is to present the first validation of the Adolescents’ Academic Motivation Scale (AAMS). Total sample was composed by 1712 students of secondary education from two districts in the Dominican Republic. The main measurement outcome was the AAMS. Results from the CFA were satisfactory: χ2(5) = 57.73, p < .001; CFI = .970; RMSEA = .079 [.061, .097], and SRMR = .024. IRT analyses favored the two-parameter logistic model, indicating that items were not equally discriminant. Structural Equation Model with latent variables in which academic motivation was a significant predictor of grades resulted in excellent fit: χ2(53) = 182.76, p < .001; CFI = .980; RMSEA = .038 90% CI [.032, .044], and SRMR = .025. In sum, this work presents an exhaustive psychometric analysis of the AAMS in a representative sample of high school Dominican students. Entre el creciente cuerpo de investigación que se ha centrado en el éxito académico, la motivación académica ha captado considerable atención. El objetivo de esta investigación es presentar la primera validación de la Escala de Motivación Académica de los Adolescentes (EMAA). La muestra total estuvo compuesta por 1712 estudiantes de secundaria de dos distritos de la República Dominicana. La medida principal fue la EMAA. Los resultados del AFC fueron satisfactorios: χ2(5) = 57.73, p < .001; CFI = .970; RMSEA = .079, 90% CI [.061, .097], y SRMR = .024. Los análisis de TRI favorecieron al modelo logístico de dos parámetros, indicando que los ítems no fueron igualmente discriminativos. El Modelo de Ecuaciones Estructurales en el que la motivación académica predecía de forma estadísticamente significativa las calificaciones obtuvo un ajuste excelente: χ2(53) = 182.76, p < .001; CFI = .980; RMSEA = .038 [.032, .044], and SRMR = .025. En resumen, este trabajo presenta un exhaustivo análisis psicométrico de la EMAA en una muestra representativa de estudiantes dominicanos de instituto.

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.

Sign in / Sign up

Export Citation Format

Share Document