Mobile learning usage and acceptance: perceptions of secondary school students

The use of mobile devices among secondary school students is increasingly more common; however, mobile learning and mobile technology acceptance research in secondary education is still limited. This study investigated secondary school students’ perceptions regarding mobile device usage and mobile learning acceptance. A questionnaire was administered to 530 students aged 12–18 years old, in Greece. The study revealed that mobile phone was the predominant device which is used daily by almost all students. 83% of the sample goes online via a mobile device several times per day. 65% of the sample described themselves as advanced mobile device users, and 11% perceived themselves as experts. Students expressed positive perceptions indicating mobile learning acceptance. The higher the grade (or age group), the higher the frequency of going online via a mobile device, and the more the years of using a mobile device, the more positive were students’ perceptions. Implications for educational policy makers, teachers, and students are discussed.

[1]  Muneera Bano,et al.  Mobile learning for science and mathematics school education: A systematic review of empirical evidence , 2018, Comput. Educ..

[2]  Chin-Chung Tsai,et al.  A long-term experiment to investigate the relationships between high school students’ perceptions of mobile learning and peer interaction and higher-order thinking tendencies , 2018 .

[3]  Gwo-Jen Hwang,et al.  A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students , 2011, Comput. Educ..

[4]  Gerald Knezek,et al.  Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities , 2017, Comput. Hum. Behav..

[5]  J. Wishart Mobile Learning in Schools: Key Issues, Opportunities and Ideas for Practice , 2017 .

[6]  Scott R. Bartholomew,et al.  Middle School Student Perceptions and Actual Use of Mobile Devices: Highlighting Disconnects in Student Planned and Actual Usage of Mobile Devices in Class , 2018, J. Educ. Technol. Soc..

[7]  Martin Ebner,et al.  Learning with Mobile Devices Perceptions of Students and Teachers at Lower Secondary Schools in Austria , 2014 .

[8]  Niall Winters,et al.  UNESCO/Nokia The Future of Mobile Learning Report: Implications for Policymakers and Planners , 2013 .

[9]  V. N. Anney,et al.  Teachers' and students' perceptions of self-driven acceptance of mobile phone use as an ICT teaching tool , 2016 .

[10]  Yanjie Song,et al.  "Bring Your Own Device (BYOD)" for seamless science inquiry in a primary school , 2014, Comput. Educ..

[11]  Gwo-Jen Hwang,et al.  Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016 , 2018, Comput. Educ..

[12]  Gwo-Jen Hwang,et al.  Trends in digital game-based learning in the mobile era: a systematic review of journal publications from 2007 to 2016 , 2019, Int. J. Mob. Learn. Organisation.

[13]  Michael M. Grant,et al.  Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media , 2013, Internet High. Educ..

[14]  RuoLan Wang,et al.  Developing digital fluency through ubiquitous mobile devices: Findings from a small-scale study , 2012, Comput. Educ..

[15]  Lucy E. Haagen,et al.  Mobillizing the Middle Kingdom: Bringing M-Learning to High Schools , 2015 .

[16]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[17]  K. Topping,et al.  Mobile technology and mathematics: effects on students’ attitudes, engagement, and achievement , 2015, Journal of Computers in Education.

[18]  Anastasios A. Economides,et al.  Mobile-Based micro-Learning and Assessment: Impact on learning performance and motivation of high school students , 2018, J. Comput. Assist. Learn..

[19]  Chin-Chung Tsai,et al.  University students' self‐efficacy and their attitudes toward the Internet: the role of students' perceptions of the Internet , 2006 .

[20]  Sujeet Kumar Sharma,et al.  Neural network approach to predict mobile learning acceptance , 2018, Education and Information Technologies.

[21]  K. Nikolopoulou,et al.  High school pupils’ attitudes and self-efficacy of using mobile devices , 2017 .

[22]  Gwo-Jen Hwang,et al.  Trends in the research design and application of mobile language learning: a review of 2007–2016 publications in selected SSCI journals , 2018, Interact. Learn. Environ..

[23]  Ozlem Baydas,et al.  Pre-service teachers' intention to adopt mobile learning: A motivational model , 2018, Br. J. Educ. Technol..

[24]  Marco Kalz,et al.  A review of the types of mobile activities in mobile inquiry-based learning , 2018, Comput. Educ..

[25]  Gerald Knezek,et al.  Reprint of Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities , 2018, Comput. Hum. Behav..

[26]  Andrea Bonanomi,et al.  Factors Affecting Students' Acceptance of Tablet PCs: A Study in Italian High Schools , 2018 .

[27]  Lucy E. Haagen,et al.  Mobilizing the Middle Kingdom: Bringing M-Learning to a Chinese High School , 2015 .

[28]  K. Nikolopoulou Mobile Technologies and Early Childhood Education , 2018, Communications in Computer and Information Science.

[29]  Nomusa Dlodlo,et al.  Where learners' and teachers' perceptions on mobile learning meet: A case of Namibian secondary schools in the Khomas region , 2017 .

[30]  Zarina Samsudin,et al.  Mobile Devices: Toys or Learning Tools for the 21st Century Teenagers?. , 2014 .

[31]  Ioanna Bellou,et al.  Digital Learning Technologies in Chemistry Education: A Review , 2018 .

[32]  Hüseyin Uzunboylu,et al.  M-learning adequacy and perceptions of students and teachers in secondary schools , 2015, Br. J. Educ. Technol..

[33]  Andrea Bonanomi,et al.  Students' acceptance of tablet PCs in Italian high schools: Profiles and differences , 2018, Br. J. Educ. Technol..

[34]  Vasilis Gialamas,et al.  Mobile phone dependence: Secondary school pupils’ attitudes , 2018, Education and Information Technologies.

[35]  Olga Viberg,et al.  Mobile collaborative language learning: State of the art , 2018, Br. J. Educ. Technol..

[36]  Alexandra Weilenmann,et al.  “It must not disturb, it’s as simple as that”: Students’ voices on mobile phones in the infrastructure for learning in Swedish upper secondary school , 2017, Education and Information Technologies.

[37]  Noraffandy Yahaya,et al.  Review of Mobile Learning Trends 2010-2015: A Meta-Analysis , 2017, J. Educ. Technol. Soc..

[38]  Gwo-jen Hwang,et al.  Trends in digital game-based learning in the mobile era: a systematic review of journal publications from 2007 to 2016 , 2019, Int. J. Mob. Learn. Organisation.

[39]  Yi-Shun Wang,et al.  Investigating the determinants and age and gender differences in the acceptance of mobile learning , 2009, Br. J. Educ. Technol..

[40]  Andrew Middleton,et al.  Considering the Smartphone Learner: an investigation into student interest in the use of personal technology to enhance their learning , 2012 .

[41]  Helen Crompton,et al.  The use of mobile learning in PK-12 education: A systematic review , 2017, Comput. Educ..

[42]  Pei-Luen Patrick Rau,et al.  Using mobile communication technology in high school education: Motivation, pressure, and learning performance , 2008, Comput. Educ..

[43]  Symeon Retalis,et al.  Leveraging the 1:1 iPad approach for enhanced learning in the classroom , 2018, Educational Media International.

[44]  Ivan Kelić,et al.  Mobile Learning Usage and Preferences of Vocational Secondary School Students: The cases of Austria, the Czech Republic, and Germany , 2017 .

[45]  Jennifer Shewmaker,et al.  Impact of mobile technology on student attitudes, engagement, and learning , 2017, Comput. Educ..

[46]  Anne Nortcliffe,et al.  Considering the Smartphone Learner: developing innovation to investigate the opportunities for students and their interest , 2012 .