scholarly journals Exploring High School Students' Educational Use of YouTube

2019 ◽  
Vol 20 (2) ◽  
Author(s):  
Salih Bardaki
Keyword(s):  
High School ◽  
High School Students ◽  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
School Students ◽  
Actual Usage ◽  
Use Of Technology ◽  
Behavioral Intention To Use

YouTube is one of the most prevalent social media sites across the globe. However, there is a lack of research on factors influencing educational use of YouTube. This study examines high school students’ educational use of YouTube with unified theory of acceptance and use of technology (UTAUT). Using structural equation modeling, the proposed model is tested. Results demonstrate that performance expectancy and social influence are the significant predictors of behavioral intention to use YouTube. Furthermore, behavioral intention is the significant predictor of actual usage. The results suggest that students intend to use YouTube for improving their academic performance. Social influence also contributes to their intention. Based on previous literature, the results are discussed. 

scholarly journals EVALUASI PENERIMAAN JEJARING SOSIAL GOOGLE+ PADA SISWA SEKOLAH MENENGAH ATAS DI WILAYAH JAKARTA SELATAN

2015 ◽  
Vol 10 (2) ◽  
pp. 78
Author(s):  
Abdul Mufti ◽  
Fitriana Destiawati ◽  
Tri Yani Akhirina
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Social Networking ◽  
Structural Equation ◽  
Equation Model ◽  
School Students ◽  
Use Of Technology ◽  
Analysis Technique ◽  
Networking Technologies

Based on the research in the first year high school students in Jakarta Google+ social networking technologies application is ready and accept the Google+ social networking technology but not to the use of a continuous basis. Therefore there is need for the development of the research is to use the model Unified Theory Of Acceptance And Use Of Technology (UTAUT). This study was conducted to evaluate the acceptance of the Google+ social network that has been done in the first phase of the study. Based on the results of the first phase of the research is still considered less acceptable social networking Google + as a learning medium high school students. The present study is expected to implement Google+ as a social network that can be used to accomplish more tasks. The method used for processing the data is to use the analysis technique of Structural Equation Model (SEM). The results of this study is the use of Google technology among high school students is strongly influenced by the condition of the supporting facilities for both girls and boys. If the environmental conditions and good supporting facilities, the interest of high school students to use technology Google+ will be even greater

scholarly journals INSTRUMENT DEVELOPMENT OF HIGHER ORDER THINKING SKILL IN MATHEMATICS INSTRUCTIONAL ON SENIOR HIGH SCHOOL

2015 ◽  
Vol 1 (1) ◽  
pp. 65
Author(s):  
Benidiktus Tanujaya
Keyword(s):  
High School ◽  
High School Students ◽  
Instrument Development ◽  
Structural Equation ◽  
Standard Procedure ◽  
Higher Order Thinking ◽  
Higher Order ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
School Students

The purpose of this research was to develop an instrument that can be used to measure higher-order thinking skills (HOTS) in mathematics instructional of high school students. This research was conducted using a standard procedure of instrument development, from the development of conceptual definition, development of operational definitions, determination constructs, dimensions, and indicators, to the preparation of blue print, item preparation, expert validation, and testing. Data results from trials be analyzed using factor analysis and analysis of structural equation modeling (SEM). The data analysis shows that there are 9 factors HOTS that construct the instrument with good validity and reliability. This instrument classifies high school students in the five categories of HOTS ability. HOTS grouping results can be used by various interested institutions to evaluate the instructional of mathematics. These evaluations are used to determine the success of student learning and the success of teachers' teaching.

scholarly journals Social network usage, shame, guilt and pride among high school students: Model testing

2016 ◽  
Vol 13 (1) ◽  
pp. 1926
Author(s):  
Uğur Doğan ◽  
Eyüp Çelik ◽  
Yahya Karakaş
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Equation Modeling ◽  
Fit Indices ◽  
School Students ◽  
Network Usage

This study was aimed at testing a model which applies structural equation modeling (SEM) to explain social networking sites (SNS) usage. Performing SEM with a sample of 500 high school students (40% male, 60% female), the model examined the relationships among shame, guilt and pride on SNS, such Facebook and Twitter. It was hypothesized that SNS usage was predicted directly by shame and indirectly by pride and guilt. The SEM showed that shame affected SNS usage directly and positively, while guilt and pride indirectly affected SNS via shame. The fit indices of SEM produced good fit values (χ2 = 0.11, df = 2, χ2/df = 0.055, p = 0.94532, RMSEA = 0.00, GFI = 1.00, AGFI = 1.00, NFI = 1.00, NNFI = 1.00, CFI = 1.00, IFI = 1.00, RMR = 0.039; SRMR = 0.0042). According to these results, high school students’ feelings of shame, guilt and pride are important predictors of SNS usage.

Grit is Associated with Lower Depression via Meaning in Life among Filipino High School Students

2018 ◽  
Vol 51 (6) ◽  
pp. 865-876 ◽  
Author(s):  
Jesus Alfonso D. Datu ◽  
Ronnel B. King ◽  
Jana Patricia M. Valdez ◽  
Maria Socorro M. Eala
Keyword(s):  
High School ◽  
High School Students ◽  
Psychological Health ◽  
Meaning In Life ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
School Students ◽  
Presence Of Meaning ◽  
Study Results

Grit—passion and perseverance for long-term goals—has been linked to a wide array of positive academic and psychological outcomes. However, limited research has been conducted to explore the association of grit with different indicators of well-being and psychological health. The primary objective of this study was to assess the associations among grit, meaning in life, and depression. There were 447 Filipino high school students who participated in the study. Results of structural equation modeling showed that grit was linked to higher levels of meaning in life dimensions (i.e., presence of meaning and search for meaning in life) and presence of meaning was associated with lower depression. Bias-corrected bootstrapping revealed that grit had an indirect negative influence on depression through the intermediate variable—presence of meaning in life. Theoretical and practical implications are elucidated.

Public/Catholic Differences in the High School and Beyond Data: A Multigroup Structural Equation Modeling Approach to Testing Mean Differences

1990 ◽  
Vol 15 (3) ◽  
pp. 199-235 ◽  
Author(s):  
Herbert W. Marsh ◽  
David Grayson
Keyword(s):  
High School ◽  
High School Students ◽  
Structural Equation ◽  
Educational Aspirations ◽  
College Attendance ◽  
Equation Modeling ◽  
Senior Year ◽  
School Students ◽  
Catholic High School ◽  
Mean Differences

Previous research based on the large, nationally representative High School and Beyond (HSB) study has compared senior year achievement test scores for public and Catholic high school students after controlling for background variables and sophomore year test scores. These analyses, however, were based on traditional applications of multiple regression with its implausible assumptions that variables are measured without error and that residuals are uncorrelated. The present study demonstrates tests for mean differences on latent constructs using the LISREL approach to multigroup structural equation modeling (SEM) for this substantively important issue. Public/Catholic differences, even after controlling for background and sophomore outcomes, favored Catholic high school students on senior year outcomes (achievement, educational aspirations, and academic course selection) and subsequent college attendance. These public/Catholic differences were similar for students differing in race, SES (social economic status), and initial ability. Public/Catholic differences in achievement, educational aspirations, and college attendance were, however, apparently mediated by the academic orientation of course selection. The flexibility and advantages—but also the limitations—of this multigroup SEM approach are discussed.

scholarly journals INSTRUMENT DEVELOPMENT OF HIGHER ORDER THINKING SKILL IN MATHEMATICS INSTRUCTIONAL ON SENIOR HIGH SCHOOL

2015 ◽  
Vol 1 (1) ◽  
pp. 65-74
Author(s):  
Benidiktus Tanujaya
Keyword(s):  
High School ◽  
High School Students ◽  
Instrument Development ◽  
Structural Equation ◽  
Standard Procedure ◽  
Higher Order Thinking ◽  
Higher Order ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
School Students

The purpose of this research was to develop an instrument that can be used to measure higher-order thinking skills (HOTS) in mathematics instructional of high school students. This research was conducted using a standard procedure of instrument development, from the development of conceptual definition, development of operational definitions, determination constructs, dimensions, and indicators, to the preparation of blue print, item preparation, expert validation, and testing. Data results from trials be analyzed using factor analysis and analysis of structural equation modeling (SEM). The data analysis shows that there are 9 factors HOTS that construct the instrument with good validity and reliability. This instrument classifies high school students in the five categories of HOTS ability. HOTS grouping results can be used by various interested institutions to evaluate the instructional of mathematics. These evaluations are used to determine the success of student learning and the success of teachers' teaching.

scholarly journals ANALISIS PENERAPAN MODEL UTAUT (UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY) TERHADAP PERILAKU PENGGUNA SISTEM INFORMASI (STUDI KASUS: SISTEM INFORMASI AKADEMIK PADA STTNAS YOGYAKARTA)

2017 ◽  
Vol 7 (2) ◽  
pp. 165
Author(s):  
Trie Handayani ◽  
Sudiana Sudiana
Keyword(s):  
Information Systems ◽  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Analysis Tool ◽  
Unified Theory ◽  
Use Of Technology ◽  
Academic Information ◽  
The Impact

The appears of the popularity of web technologies and applications have created a vast opportunity for organizations, including institutions of higher education. With the presence of Academic information systems (SiAkad) that is in STTNAS, then do some research to find out the intention of the behavior in the use of Academic information systems using the UTAUT model (Unified Theory Of Acceptance And Use Of Technology). The phenomenon underlying this study is: not yet optimal use of Academic information systems by civitas academic (professors, students and employees) in the process of learning and socializing, so the existence of maximal and haven't yet SiAkad his crisp utilization impact of its use for the entire civitas academic. The study was limited in its scope: the analysis of the influence of Performance Expextancy, Expextancy Effort, Social Influence and Facilitating Condition against the intention SiAkad usage behavior in STTNAS in Yogyakarta. The data in the study on the test with the SEM analysis tool (Structural Equation Modeling). SEM is a tool of statistical analysis that are used to complete the research of multilevel models simultaneously. SEM can be used to solve equations with variables that make up the path. Research results based on the analysis and discussion is a variable PerformanceExpectancy (PE), Social Influence (SI) and Facilitating Condition (FC) effect significantly to Behavioral Intention, while variable Effort Expectancy (EE) provides results that are not significant. Fourth overall Predictor is only able to explain the impact on behavioral intention of 37,6 percent.

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