The use of a mobile learning management system and academic achievement of online students

Mobile learning has become widespread, and higher education institutions have started adopting mobile technology to cope with the needs of students. Despite its adoption in higher education settings, little research has been done to examine factors influencing the adoption of mobile learning management systems (LMSs) and the learning effects on students' academic achievement. To explore the relationships among factors and the educational effectiveness of mobile LMSs, students' demographic backgrounds (age and employment status), self-reported psychological data (self-efficacy, innovativeness, perceived ease of use, and perceived usefulness of mobile LMSs), and external factors (subjective norms) were collected from 1604 students from 10 repetitions of the same course in an online university in Korea, in addition to their test scores. The logistic regression results showed that age and employment status were significant factors in predicting students' adoption of mobile LMSs and that there were potential connections between mobile LMS use and students' gender, age, and psychological characteristics. In addition, the study demonstrated that the use of a mobile LMS positively influenced online students' academic achievement. The findings from this empirical study present a better understanding of students' usage of mobile devices in higher education. Factors influencing the adoption of mobile LMS were investigated.The use of mobile LMS was affected by multi-dimensional characteristics of factors.The use of mobile LMS had a positive relationship with students' achievement.

[1]  Wu-Yuin Hwang,et al.  The Impact of Supported and Annotated Mobile Learning on Achievement and Cognitive Load , 2015, J. Educ. Technol. Soc..

[2]  Blanche W. O'Bannon,et al.  Mobile phones in the classroom: Preservice teachers answer the call , 2015, Comput. Educ..

[3]  Mary T. Moser,et al.  Electronic reading and digital library technologies: understanding learner expectation and usage intent for mobile learning , 2014, Educational Technology Research and Development.

[4]  Gail Salaway,et al.  The ECAR Study of Undergraduate Students and Information Technology, 2008 , 2007 .

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

[6]  Biju Issac,et al.  The mobile devices and its mobile learning usage analysis , 2008, IMECS 2008.

[7]  Florence Martin,et al.  Here and now mobile learning: An experimental study on the use of mobile technology , 2013, Comput. Educ..

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

[9]  Won Sug Shin,et al.  The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement , 2015 .

[10]  T. McGill,et al.  Critical success factors for the continuation of e-learning initiatives , 2014, Internet High. Educ..

[11]  Nadire Cavus,et al.  Investigating mobile devices and LMS integration in higher education: Student perspectives , 2011, WCIT.

[12]  Gwo-Jen Hwang,et al.  Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008-2012 publications in selected SSCI journals , 2014, Int. J. Mob. Learn. Organisation.

[13]  Christer Carlsson,et al.  Factors driving the adoption of m-learning: An empirical study , 2010, Comput. Educ..

[14]  L. Elder,et al.  Using mobile phones to improve educational outcomes: An analysis of evidence from Asia , 2010 .

[15]  Gill Clough,et al.  Mobile learning: Two case studies of supporting inquiry learning in informal and semiformal settings , 2013, Comput. Educ..

[16]  Clark N. Quinn,et al.  Designing mLearning: Tapping into the Mobile Revolution for Organizational Performance , 2011 .

[17]  Sung Youl Park,et al.  An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning , 2009, J. Educ. Technol. Soc..

[18]  Yeonjeong Park,et al.  A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types. , 2011 .

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

[20]  Tzy-Wen Tang,et al.  Exploring the Moderating Role of Perceived Flexibility Advantages in Mobile Learning Continuance Intention (MLCI) , 2014 .

[21]  Johan van Braak,et al.  Individual Characteristics Influencing Teachers' Class Use of Computers , 2001 .

[22]  Eva García,et al.  An empirical study on m-learning adaptation: Learning performance and learning contexts , 2015, Comput. Educ..

[23]  Armin Weinberger,et al.  Teaching, learning and media use in today's lectures , 2014, Comput. Hum. Behav..

[24]  John Traxler,et al.  Will Student Devices Deliver Innovation, Inclusion, and Transformation? , 2010 .

[25]  Baiyun Chen,et al.  Exploring students’ mobile learning practices in higher education , 2013 .

[26]  Won Sug Shin,et al.  An Empirical Investigation of Student Acceptance of Synchronous E-Learning in an Online University , 2015 .

[27]  Janet Mannheimer Zydney,et al.  Mobile apps for science learning: Review of research , 2016, Comput. Educ..

[28]  Sung Youl Park,et al.  University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model , 2012, Br. J. Educ. Technol..

[29]  Seungyeon Han,et al.  Adoption of the Mobile Campus in a Cyber University. , 2014 .

[30]  Gustaf Neumann,et al.  Comparing LMS Usage Behavior of Mobile and Web Users , 2012, 2012 IEEE 12th International Conference on Advanced Learning Technologies.

[31]  Jan Herrington,et al.  Authentic mobile learning in higher education , 2007 .

[32]  Jeffrey N. Lowenthal.  Using Mobile Learning: Determinates Impacting Behavioral Intention , 2010 .

[33]  Jaeki Song,et al.  An investigation of mobile learning readiness in higher education based on the theory of planned behavior , 2012, Comput. Educ..

[34]  Hui-Chun Chu,et al.  Potential Negative Effects of Mobile Learning on Students' Learning Achievement and Cognitive Load - A Format Assessment Perspective , 2014, J. Educ. Technol. Soc..

[35]  Timothy Teo,et al.  A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context , 2010, Interact. Learn. Environ..

[36]  Xiaojie Li,et al.  Using mobile phones in college classroom settings: Effects of presentation mode and interest on concentration and achievement , 2015, Comput. Educ..

[37]  Yen-Chun Jim Wu,et al.  Review of trends from mobile learning studies: A meta-analysis , 2012, Comput. Educ..