An analysis of the influence of a mobile learning application on the learning outcomes of higher education students

This study investigated the influence of a mobile learning (M-Learning) application on the learning outcomes of university students. The learning outcomes were assessed in terms of secured score in the Communication Skills course using the App for the period of one semester. The M-Learning App was developed for university students to make learning possible from anywhere, at anytime, and through any smartphone. An experiment was conducted to measure the learning outcomes of the students. In each group (experimental and control), 106 students were randomly selected using SPSS random sample cases. The learning outcomes were measured by means of a standard test designed by three course experts. Both groups took the test at the start of the semester; the results were recorded as pre-test. However, both groups undertook the same test again at the end of the semester as a post-test; this time the questions were shuffled. The results of the experiment revealed that there is statistically significant difference between the experimental and control groups in their post-test results. The experimental group secured higher score in the post-test as compared to the control group. The findings of this study suggest that the App has positive influence on the learning outcomes of the students.

[1]  Alberto Andujar,et al.  Benefits of mobile instant messaging to develop ESL writing , 2016 .

[2]  Simon So,et al.  Mobile instant messaging support for teaching and learning in higher education , 2016, Internet High. Educ..

[3]  Viswanath Venkatesh,et al.  Leveraging Microsoft's mobile usability guidelines: Conceptualizing and developing scales for mobile application usability , 2016, Int. J. Hum. Comput. Stud..

[4]  Jie-Chi Yang,et al.  Development and Evaluation of an Interactive Mobile Learning Environment with Shared Display Groupware , 2010, J. Educ. Technol. Soc..

[5]  Sandeep Goyal,et al.  Research Article Learning in Color: How Color and Affect Influence Learning Outcomes , 2013, IEEE Transactions on Professional Communication.

[6]  Q.H. Mahmoud,et al.  Integrating mobile devices into the computer science curriculum , 2008, 2008 38th Annual Frontiers in Education Conference.

[7]  Amy M. Shapiro,et al.  How Including Prior Knowledge As a Subject Variable May Change Outcomes of Learning Research , 2004 .

[8]  Chia-Wen Tsai The use of mobile technology and ubiquitous computing for universal access in online education , 2014, Universal Access in the Information Society.

[9]  María Fernanda Cabrera-Umpiérrez,et al.  3rd Generation accessibility: information and communication technologies towards universal access , 2014, Universal Access in the Information Society.

[10]  M. Segers,et al.  The Relation Between Assessment Practices and Outcomes of Studies: The Case of Research on Prior Knowledge , 1999 .

[11]  Doo Hun Lim,et al.  Learner and Instructional Factors Influencing Learning Outcomes within a Blended Learning Environment , 2009, J. Educ. Technol. Soc..

[12]  Agustín Ibáñez,et al.  Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data , 2016, Journal of Medical Systems.

[13]  Pei-Di Shen,et al.  Exploring the effects of web-mediated computational thinking on developing students’ computing skills in a ubiquitous learning environment , 2017, Interact. Learn. Environ..

[14]  Alexander Renkl,et al.  Are high-coherent concept maps better for prior knowledge activation? Differential effects of concept mapping tasks on high school vs. university students , 2008, J. Comput. Assist. Learn..

[15]  Helen Crompton,et al.  The Use of Mobile Learning in Science: A Systematic Review , 2016, Journal of Science Education and Technology.

[16]  Reshmy Krishnan,et al.  Towards pervasive mobile learning – the vision of 21st century , 2011 .

[17]  PimmerChristoph,et al.  Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies , 2016 .

[18]  Charlotte Rees,et al.  The development of a scale to measure medical students' attitudes towards communication skills learning: the Communication Skills Attitude Scale (CSAS) , 2002, Medical education.

[19]  Muhammad Rafie Mohd Arshad,et al.  Perspectives of Students’ Behavior Towards Mobile Learning (M-learning) in Egypt: an Extension of the UTAUT Model , 2016 .

[20]  Magdalena Mateescu,et al.  Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies , 2016, Comput. Hum. Behav..

[21]  Asgar Mahmoudi,et al.  The Effects of Method, Time and Their Interaction on Learning Grammatical Cohesive Devices , 2016 .

[22]  Thomas P. Mackey,et al.  Exploring the relationships between Web usability and students' perceived learning in Web-based multimedia (WBMM) tutorials , 2008, Comput. Educ..

[23]  Maria Amélia Ferreira,et al.  Attitudes of Portuguese medical residents' towards clinical communication skills. , 2015, Patient education and counseling.

[24]  Tzu-Chien Liu,et al.  The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis , 2016, Comput. Educ..

[25]  Sam Goundar,et al.  What is the Potential Impact of Using Mobile Devices in Education , 2011 .

[26]  Mehrak Rahimi,et al.  The Impact of Mobile Dictionary Use on Language Learning , 2014 .

[27]  Rui Huang A Study on Large-Class Teaching Strategies in Listening for English Major on Web-Based Autonomous Learning , 2016 .

[28]  Jason M. Harley,et al.  Comparing virtual and location-based augmented reality mobile learning: emotions and learning outcomes , 2016, Educational Technology Research and Development.

[29]  Sue Greener,et al.  Are we outsourcing memory? , 2017, Interact. Learn. Environ..

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

[31]  Yen-Ting Lin,et al.  Mobile APP for motivation to learning: an engineering case , 2015, Interact. Learn. Environ..

[32]  Hung-Wei Tseng,et al.  Evaluation of iTunes University Courses Through Instructional Design Strategies and m-Learning Framework , 2016, J. Educ. Technol. Soc..

[33]  R. Oudejans,et al.  Professional Development in Sport Psychology: Relating Learning Experiences to Learning Outcomes , 2017 .

[34]  Gabriele Meiselwitz,et al.  Investigating the Connection between Usability and Learning Outcomes in Online Learning Environments , 2008 .

[35]  Agostino Poggi,et al.  Enabling FIPA Agents on Small Devices , 2001, CIA.

[36]  Z. Abbas,et al.  Undergraduate Medical students ‘attitudes towards learning communication skills , 2015 .

[37]  Stephen J. H. Yang,et al.  Effects of Situated Mobile Learning Approach on Learning Motivation and Performance of EFL Students , 2016, J. Educ. Technol. Soc..

[38]  Bekim Fetaji,et al.  Assessing Effectiveness in Mobile Learning by D evising MLUAT (Mobile Learning Usability Attribute Testing) Methodology , 2011 .

[39]  Sheela P. Haveri,et al.  Attitude of medical students towards learning communication skills , 2016 .

[40]  Anne Nevgi,et al.  How to Diagnose At‐risk Students in Chemistry: The case of prior knowledge assessment , 2010 .

[41]  Jie Chi Yang,et al.  Integrating video-capture virtual reality technology into a physically interactive learning environment for English learning , 2010, Comput. Educ..

[42]  Thiemo Müller-Kalthoff,et al.  Browsing while reading: effects of instructional design and learners’ prior knowledge , 2006 .

[43]  Francisco J. García-Peñalvo,et al.  Effects of Mobile Learning in Medical Education: A Counterfactual Evaluation , 2016, Journal of Medical Systems.

[44]  Khaled Shaalan,et al.  E-podium Technology: A Medium of Managing Knowledge at Al Buraimi University College via M-learning , 2015, BCS International IT Conferenc.

[45]  Fabiane Barreto Vavassori Benitti,et al.  Evaluation of a game used to teach usability to undergraduate students in computer science , 2015 .

[46]  Abdullah Alsaeedi,et al.  Attitudes of medical students toward communication skills learning in Western Saudi Arabia , 2016, Saudi medical journal.

[47]  Zahid Hussain,et al.  Evaluating Usability of M-Learning Application in the Context of Higher Education Institute , 2016, HCI.

[48]  Alexander Renkl,et al.  Prior knowledge activation: how different concept mapping tasks lead to substantial differences in cognitive processes, learning outcomes, and perceived self-efficacy , 2010 .

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

[50]  David Wolf,et al.  Engaging Students in Online Courses Through the Use of Mobile Technology , 2013 .