Learner perceptions versus technology usage: A study of adolescent English learners in Hong Kong secondary schools

Abstract There is a wealth of research investigating the predictive power of learners' attitudes towards technology, perceived usefulness of technology and efficacy. However, the associations between these learner factors and the actual application of technology for individualized and collaborative school-related learning activities in a specific domain and in the Asian context are not adequately discussed. This paper contributes to the literature by attempting to investigate such correlations, and treating individualized and collaborative applications as separate entities, with particular reference to Chinese adolescent learners of English in Hong Kong. An analysis of 193 questionnaires completed by adolescent English learners aged 13–16 in three Hong Kong secondary schools supported the differentiation of actual application for individualized and collaborative school-related English learning activities. While the adolescents’ attitudes, self-efficacy (familiarity with technology) and perceptions towards technology use were positive, attitude was related to use of technology for individualized learning purposes, and self-efficacy was related to perceived usefulness of technology for English learning. Their perceived usefulness of technology and actual application behavior for school-related learning tasks were not commensurate with each other. Older adolescent learners tended to favor more technology as a useful tool for English learning. Gender effects, however, were negligible. The study points to the significance of understanding both learner perceptions and relations with actual application of technology use for school-related English learning activities.

[1]  Douglas R. Vogel,et al.  Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning , 2013, Comput. Educ..

[2]  Lina Lee,et al.  Autonomous Learning through Task-based Instruction in Fully Online Language Courses , 2016 .

[3]  Yu-Chih Sun,et al.  Learner perceptions of a concordancing tool for academic writing , 2007 .

[4]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[5]  Vehbi Celik,et al.  Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education , 2013, Comput. Educ..

[6]  David Coniam,et al.  Using wikis to enhance and develop writing skills among secondary school students in Hong Kong , 2008 .

[7]  Ronny Scherer,et al.  The role of ICT self-efficacy for students' ICT use and their achievement in a computer and information literacy test , 2016, Comput. Educ..

[8]  Sarah K. Howard,et al.  Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning , 2016, Comput. Educ..

[9]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[10]  Mingming Zhou,et al.  Gender difference in web search perceptions and behavior: Does it vary by task performance? , 2014, Comput. Educ..

[11]  Rosemary Luckin,et al.  Beyond Web 2.0: mapping the technology landscapes of young learners , 2009, J. Comput. Assist. Learn..

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

[13]  Pia Sundqvist,et al.  Language-related computer use: Focus on young L2 English learners in Sweden* , 2014, ReCALL.

[14]  Roger McHaney,et al.  The relationship between gender and mobile technology use in collaborative learning settings: An empirical investigation , 2017, Comput. Educ..

[15]  Hayo Reinders,et al.  REVIEW OF TASK-BASED LANGUAGE LEARNING AND TEACHING WITH TECHNOLOGY , 2010 .

[16]  Ove Edvard Hatlevik,et al.  Gender-differences in Self-efficacy ICT related to various ICT-user profiles in Finland and Norway. How do self-efficacy, gender and ICT-user profiles relate to findings from PISA 2006 , 2011, Comput. Educ..

[17]  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..

[18]  I. Ajzen,et al.  Attitude-behavior relations: A theoretical analysis and review of empirical research. , 1977 .

[19]  Marina Papastergiou,et al.  Are Computer Science and Information Technology still masculine fields? High school students' perceptions and career choices , 2008, Comput. Educ..

[20]  Garry Falloon,et al.  What's the difference? Learning collaboratively using iPads in conventional classrooms , 2015, Comput. Educ..

[21]  Ioanna Vekiri,et al.  Boys' and girls' ICT beliefs: Do teachers matter? , 2010, Comput. Educ..

[22]  Yaobin Lu,et al.  Internet inequality: The relationship between high school students' Internet use in different locations and their Internet self-efficacy , 2010, Comput. Educ..

[23]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[24]  M. Adnan.  Perceptions of senior-year ELT students for flipped classroom: a materials development course , 2017 .

[25]  Dorothy M. Chun,et al.  Technology in Language Use, Language Teaching, and Language Learning. , 2016 .

[26]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[27]  Dan Bouhnik,et al.  WhatsApp Goes to School: Mobile Instant Messaging between Teachers and Students , 2014, J. Inf. Technol. Educ. Res..

[28]  Eng Guan Tay,et al.  Relating use of digital technology by pre-service teachers to confidence : a Singapore survey , 2012 .

[29]  Wu-Yuin Hwang,et al.  Improving English as a foreign language writing in elementary schools using mobile devices in familiar situational contexts , 2014 .

[30]  Wilfred W. F. Lau,et al.  The relative importance of paternal and maternal parenting as predictors of adolescents' home Internet use and usage , 2016, Comput. Educ..

[31]  Lily Shashaani,et al.  Gender and computers: similarities and differences in Iranian college students' attitudes toward computers , 2001, Comput. Educ..

[32]  Linda Price,et al.  Learners and learning in the twenty‐first century: what do we know about students’ attitudes towards and experiences of information and communication technologies that will help us design courses? , 2005 .

[33]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[34]  Ioanna Vekiri,et al.  Information science instruction and changes in girls' and boy's expectancy and value beliefs: In search of gender-equitable pedagogical practices , 2013, Comput. Educ..

[35]  Mark R. Lehto,et al.  User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model , 2013, Comput. Educ..

[36]  I. Ajzen.  The theory of planned behavior , 1991 .

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

[38]  Chin-Chung Tsai,et al.  Junior high school students' Internet usage and self-efficacy: A re-examination of the gender gap , 2010, Comput. Educ..

[39]  Alexander Seeshing Yeung,et al.  University Students’ Satisfaction with Online and Face-to-Face Spanish Learning , 2009 .

[40]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[41]  Chun Lai,et al.  What factors predict undergraduate students' use of technology for learning? A case from Hong Kong , 2012, Comput. Educ..

[42]  Alexander Seeshing Yeung,et al.  Self-efficacy in Teaching Chinese as a Foreign Language in Australian Schools , 2015 .

[43]  Chien Chou,et al.  The moderating effects of parenting styles on the relation between the internet attitudes and internet behaviors of high-school students in Taiwan , 2016, Comput. Educ..

[44]  Jianxia Du,et al.  Gender and attitudes toward technology use: A meta-analysis , 2017, Comput. Educ..

[45]  A. Bandura.  Self-efficacy mechanism in human agency. , 1982 .

[46]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

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

[48]  Meng Chang Chen,et al.  Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community , 2010, Comput. Educ..

[49]  Ioanna Vekiri,et al.  Socioeconomic differences in elementary students' ICT beliefs and out-of-school experiences , 2010, Comput. Educ..

[50]  P. Bentler.  Comparative Fit Indices in Structural Models , 1990 .

[51]  Ee-Ling Low,et al.  Mandatory use of technology in teaching: Who cares and so what? , 2012, Br. J. Educ. Technol..

[52]  A. Bandura.  Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[53]  Alexander Seeshing Yeung,et al.  University students’ satisfaction with Spanish learning online and face-to-face , 2009 .

[54]  Chin-Chung Tsai,et al.  Taiwanese adolescents' perceptions and attitudes regarding the internet: exploring gender differences. , 2004, Adolescence.

[55]  Ove Edvard Hatlevik,et al.  Students' ICT self-efficacy and computer and information literacy: Determinants and relationships , 2018, Comput. Educ..

[56]  Alfred Markey,et al.  A study of learners’ perceptions of online intercultural exchange through Web 2.0 technologies , 2014, ReCALL.

[57]  Catherine M. Capio,et al.  Evaluating the use of a social media tool for collaborative group writing of secondary school students in Hong Kong , 2017, Comput. Educ..

[58]  Roger Azevedo,et al.  Learning With Computer-Based Learning Environments: A Literature Review of Computer Self-Efficacy , 2009 .

[59]  Shelia R. Cotten,et al.  Does technology empower urban youth? The relationship of technology use to self-efficacy , 2014, Comput. Educ..

[60]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[61]  Anita R. Bowles,et al.  Technologies for foreign language learning: a review of technology types and their effectiveness , 2014 .

[62]  Kelvin C. K. Wong,et al.  Immediate web-based essay critiquing system feedback and teacher follow-up feedback on young second language learners' writings: an experimental study in a Hong Kong secondary school , 2013 .