Mobile Learning and Student Retention

Student retention in open and distance learning (ODL) is comparatively poor to traditional education and, in some contexts, embarrassingly low. Literature on the subject of student retention in ODL indicates that even when interventions are designed and undertaken to improve student retention, they tend to fall short. Moreover, this area has not been well researched. The main aim of our research, therefore, is to better understand and measure students’ attitudes and perceptions towards the effectiveness of mobile learning. Our hope is to determine how this technology can be optimally used to improve student retention at Bachelor of Science programmes at Indira Gandhi National Open University (IGNOU) in India. For our research, we used a survey. Results of this survey clearly indicate that offering mobile learning could be one method improving retention of BSc students, by enhancing their teaching/ learning and improving the efficacy of IGNOU’s existing student support system. The biggest advantage of this technology is that it can be used anywhere, anytime. Moreover, as mobile phone usage in India explodes, it offers IGNOU easy access to a larger number of learners. This study is intended to help inform those who are seeking to adopt mobile learning systems with the aim of improving communication and enriching students’ learning experiences in their ODL institutions.

[1]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[2]  Yvonne Rogers,et al.  Learning through digitally-augmented physical experiences: Reflections on the ambient wood project. , 2002 .

[3]  John P. Bean The Application of a Model of Turnover in Work Organizations to the Student Attrition Process , 2017 .

[4]  Allan Ellis,et al.  The prevalence and characteristics of online assessment in Australian universities , 2006 .

[5]  S. Chyung Systematic and systemic approaches to reducing attrition rates in online higher education , 2001 .

[6]  Lalita S. Kumar,et al.  A Survey of a Study on the Reasons Responsible for Student Dropout from the Bachelor of Science Programme at Indira Gandhi National Open University. , 2006 .

[7]  Mary Ann Heverly Predicting Retention from Students' Experiences with College Processes , 1999 .

[8]  Vincent Tinto Dropout from Higher Education: A Theoretical Synthesis of Recent Research , 1975 .

[9]  Geri Gay,et al.  Drawing evaluation into design for mobile computing: a case study of the Renwick Gallery’s Hand Held Education Project , 2005, International Journal on Digital Libraries.

[10]  Jenny Waycott,et al.  Towards a task model for mobile learning: a dialectical approach , 2006, Int. J. Learn. Technol..

[11]  V. Mcgivney Understanding persistence in adult learning , 2004 .

[12]  Peter Lonsdale,et al.  A context awareness architecture for facilitating mobile learning , 2003 .

[13]  Paul Knight Promoting retention and successful completion on Masters courses in education: a study comparing e‐tuition using asynchronous conferencing software with face‐to‐face tuition , 2007 .

[14]  T. Roberts,et al.  The Development of an Instrument to Evaluate Distance Education Courses Using Student Attitudes , 2005 .

[15]  Camila Cortez,et al.  Teaching science with mobile computer supported collaborative learning (MCSCL) , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[16]  R. Ostman,et al.  New Zealand management students’ perceptions of communication technologies in correspondence education , 1987 .

[17]  Jane Wood,et al.  The development of mobile applications for patient education , 2003, DUX '03.

[18]  S. Schwartz,et al.  Leaving College: Rethinking the Causes and Cures of Student Attrition , 1987 .

[19]  John M. Braxton Reworking the Student Departure Puzzle , 2020 .

[20]  Sarah Carr As Distance Education Comes of Age, the Challenge Is Keeping the Students. , 2000 .

[21]  Desmond Keegan ZIFF PAPIERE 119 , 2002 .

[22]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[23]  Susan Tresman,et al.  Research Notes ~ Towards a Strategy for Improved Student Retention in Programmes of Open, Distance Education: A Case Study From the Open University UK , 2002 .

[24]  Desmond Keegan,et al.  The Future of Learning: From eLearning to mLearning. , 2002 .

[25]  Lalita S. Kumar,et al.  Teaching Chemistry at Indira Gandhi National Open University. , 2006 .

[26]  Peter S. Cookson,et al.  Research on Learners and Learning in Distance Education: A Review. , 1989 .

[27]  Giasemi N. Vavoula A Study of Mobile Learning Practices , 2005 .

[28]  Giasemi N. Vavoula,et al.  Literature Review in Mobile Technologies and Learning , 2004 .

[29]  John P. Bean Dropouts and turnover: The synthesis and test of a causal model of student attrition , 1980 .

[30]  Alan Woodley,et al.  Conceptualizing student dropout in part‐time distance education: pathologizing the normal? , 2004 .

[31]  Peter Lonsdale,et al.  Context Awareness for MOBIlearn: Creating an engaging learning experience in an art museum , 2004 .

[32]  C. C. Gibson,et al.  Impact of Adults' Preferred Learning Styles and Perception of Barriers on Completion of External Baccalaureate Degree Programs , 1992 .

[33]  Jim Taylor DVD Demystified , 1998 .

[34]  Paul M. Biner,et al.  The development of an instrument to measure student attitudes toward televised courses , 1993 .

[35]  Robert Sweet,et al.  Student dropout in distance education: An application of Tinto's model , 1986 .

[36]  David Kember,et al.  Open Learning Courses for Adults: A Model of Student Progress , 1995 .

[37]  J. Galusha Barriers to Learning in Distance Education , 1997 .

[38]  Jang-Ping Sheu,et al.  A mobile butterfly-watching learning system for supporting independent learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[39]  C. Panagiotakopoulos,et al.  A Comparative Study of Dropout Rates and Causes for Two Different Distance Education Courses. , 2004 .

[40]  Ormond Simpson The costs and benefits of student retention for students, institutions and governments , 2005 .

[41]  Manfred Lindner,et al.  Microlearning: Emerging Concepts, Practices and Technologies after e-Learning , 2006 .

[42]  Alison Ashby Monitoring student retention in the Open University: definition, measurement, interpretation and action , 2004 .

[43]  K. Brown,et al.  The role of internal and external factors in the discontinuation of off‐campus students , 1996 .

[44]  A. W. Astin,et al.  Four Critical Years , 1977 .

[45]  Amy J. Wojciechowski,et al.  Individual Student Characteristics: Can Any Be Predictors Of Success In Online Classes? , 2005 .

[46]  Barbara S. Metzner,et al.  A Conceptual Model of Nontraditional Undergraduate Student Attrition , 1985 .