Perceived Social Supports, Computer Self-Efficacy, and Computer Use among High School Students

This study investigated the function of social supports and computer self-efficacy in predicting high school students’ perceived effect of computer use. The study was survey method to collect data. The questionnaires were distributed to the high school students in Taiwan. 620 questionnaires were distributed and 525 questionnaires were gathered back with 84.67% return rate. The results of structural equation modeling (SEM) and model invariance analysis indicate that perceived peer support played an important role in predicting the effects of advanced computer self-efficacy. However, general computer self-efficacy was the factor more strongly associated with student computer use. The results were analyzed to provide useful insight into the development of student computer competency. The modified scale was a valid and reliable instrument for large scale population. This study provided representative results for further related studies. Educational implications and suggestions for future research are proposed.

[1]  Kathryn R Wentzel,et al.  Adolescent prosocial behavior: the role of self-processes and contextual cues. , 2007, Child development.

[2]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[3]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[4]  Denise Potosky,et al.  A field study of computer efficacy beliefs as an outcome of training: the role of computer playfulness, computer knowledge, and performance during training , 2002, Comput. Hum. Behav..

[5]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[6]  D. Schunk.  reflecting positive , 2022 .

[7]  Regina Juchun Chu,et al.  How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults - Analyses of gender and age differences , 2010, Comput. Educ..

[8]  Thomas P. Van Dyke,et al.  Development and validation of an Internet self-efficacy scale , 2001, Behav. Inf. Technol..

[9]  Luis L. Martins,et al.  A Model of Business School Students' Acceptance of a Web-Based Course , 2004 .

[10]  Mary Helen Fagan,et al.  An Empirical Investigation into the Relationship between Computer Self-Efficacy, Anxiety, Experience, Support and Usage , 2003, J. Comput. Inf. Syst..

[11]  P. Fagan,et al.  Employed adolescents and beliefs about self-efficacy to avoid smoking. , 2003, Addictive behaviors.

[12]  Regina Vollmeyer,et al.  Computer use and the gender gap: The issue of access, use, motivation, and performance , 2007, Comput. Hum. Behav..

[13]  K. Tan,et al.  Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance , 2005 .

[14]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[15]  Bin Wang,et al.  What makes them happy and curious online? An empirical study on high school students' Internet use from a self-determination theory perspective , 2011, Comput. Educ..

[16]  Claudia Smarkola,et al.  Efficacy of a planned behavior model: Beliefs that contribute to computer usage intentions of student teachers and experienced teachers , 2008, Comput. Hum. Behav..

[17]  Maxwell K. Hsu,et al.  Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners , 2009, Comput. Hum. Behav..

[18]  Regina Juchun Chu,et al.  Multi-level analysis of peer support, Internet self-efficacy and e-learning outcomes - The contextual effects of collectivism and group potency , 2010, Comput. Educ..

[19]  B. Israel,et al.  When Is Social Support Important? The Association of Family Support and Professional Support with Specific Diabetes Self-management Behaviors , 2008, Journal of General Internal Medicine.

[20]  T. Busch.  Gender Differences in Self-Efficacy and Attitudes toward Computers , 1995 .

[21]  Ioanna Vekiri,et al.  Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school , 2008, Comput. Educ..

[22]  R. Kelly Rainer,et al.  The Influence of Individual Differences on Skill in End-User Computing , 1992, J. Manag. Inf. Syst..

[23]  Yixin Zhang,et al.  Relationships Among Computer Self-Efficacy, Attitudes Toward Computers, and Desirability of Learning Computing Skills , 1998 .

[24]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[25]  K. Wentzel.  Parents' Aspirations for Children's Educational Attainments: Relations to Parental Beliefs and Social Address Variables. , 1998 .

[26]  Bassam Hasan,et al.  The influence of specific computer experiences on computer self-efficacy beliefs , 2003, Comput. Hum. Behav..

[27]  Ece Zehir Topkaya,et al.  Pre-Service English Language Teachers' Perceptions of Computer Self-Efficacy and General Self-Efficacy , 2010 .

[28]  Jason Bennett Thatcher,et al.  Internet anxiety: An empirical study of the effects of personality, beliefs, and social support , 2007, Inf. Manag..

[29]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[30]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[31]  Chorng-Shyong Ong,et al.  Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies , 2004, Inf. Manag..

[32]  Alyssa R. Gonzalez-DeHass,et al.  Examining the Relationship Between Parental Involvement and Student Motivation , 2005 .

[33]  Poornima Madhavan,et al.  Effects of computer self-efficacy and system reliability on user interaction with decision support systems , 2010, Comput. Hum. Behav..

[34]  L. Berkman,et al.  From social integration to health: Durkheim in the new millennium. , 2000, Social science & medicine.

[35]  A. Bandura.  Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[36]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[37]  Ying-Tien Wu,et al.  University Students' Internet Attitudes and Internet Self-Efficacy: AStudy at Three Universities in Taiwan , 2006, Cyberpsychology Behav. Soc. Netw..

[38]  S. Owen,et al.  Development and Validation of the Computer Self-Efficacy Scale , 1989 .

[39]  Hong Kian Sam,et al.  Computer Self-Efficacy, Computer Anxiety, and Attitudes toward the Internet: A Study among Undergraduates in Unimas , 2005, J. Educ. Technol. Soc..

[40]  T. Teo.  Examining the Relationship between Student Teachers' Self-Efficacy Beliefs and Their Intended Uses of Technology for Teaching: A Structural Equation Modelling Approach. , 2009 .

[41]  Richard D. Johnson,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research , 1998, Inf. Syst. Res..

[42]  Chin-Chung Tsai,et al.  Teachers' attitudes toward web-based professional development, with relation to Internet self-efficacy and beliefs about web-based learning , 2009, Comput. Educ..

[43]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[44]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[45]  Tapabrata Maiti,et al.  Principles and Practice of Structural Equation Modeling (2nd ed.) , 2006 .

[46]  Elizabeth M. Weiss,et al.  Computer self-efficacy and anxiety scales for an Internet sample: testing measurement equivalence of existing measures and development of new scales , 2004, Comput. Hum. Behav..

[47]  Kathryn R. Wentzel,et al.  Social supports from teachers and peers as predictors of academic and social motivation , 2010 .

[48]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[49]  Chin Wei Chong,et al.  Internet self-efficacy, computer self-efficacy and cultural factors on knowledge sharing behavior , 2010 .

[50]  Ad de Jong,et al.  Psychological safety and social support in groupware adoption: A multi-level assessment in education , 2008, Comput. Educ..

[51]  Elmarie Engelbrecht,et al.  Adapting to changing expectations: Post-graduate students' experience of an e-learning tax program , 2005, Comput. Educ..

[52]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .