Supporting students' motivation for e-learning: Teachers matter on and offline

Abstract In e-learning environments that are characterized by minimal peer and teacher regulation, motivation is particularly critical but poorly understood. Students' prior experience with computers and smartphones, as well as the teacher support they receive during in-class instruction (in blended learning scenarios), are essential components of the e-learning experience that must be accounted for when seeking to explain students' motivation and learning outcomes in these contexts. This study therefore aimed to test the longitudinal effects of teacher support, prior subject competence, and prior experience with computers and smartphones, on student motivation for e-learning and finally e-learning completion. Employing five data points collected over one academic year, first-year Japanese university students (n = 975) studying English as a foreign language completed surveys at three time points. Cross-lagged panel structural equation modelling was undertaken with the finalized latent variables, prior subject competency (standardized test), and year-end e-learning completion rates. Perceived teacher support was found to have a broad range of direct and mediated effects on students' motivations for e-learning. Effort beliefs were consistent predictors of task value and ability beliefs after accounting for auto-lagged effects. E-learning completion was chiefly predicted by ability beliefs. The practical and theoretical implications for e-learning are discussed.

[1]  R. Vallerand,et al.  Intrinsic, extrinsic, and amotivational styles as predictors of behavior: A prospective study. , 1992 .

[2]  J. Meece,et al.  Gender and motivation , 2006 .

[3]  E. Deci,et al.  Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. , 2000, Contemporary educational psychology.

[4]  Diane Sloan,et al.  Using e-learning to support international students’ dissertation preparation , 2014 .

[5]  Fintan Culwin,et al.  Supporting social awareness in collaborative e-learning , 2012, Br. J. Educ. Technol..

[6]  Karen Phalet,et al.  How Future Goals Enhance Motivation and Learning in Multicultural Classrooms , 2004 .

[7]  Luke K. Fryer,et al.  Between students' instrumental goals and how they learn: goal content is the gap to mind. , 2014, The British journal of educational psychology.

[8]  Susan D. Voyer,et al.  Gender differences in scholastic achievement: a meta-analysis. , 2014, Psychological bulletin.

[9]  Carol Jordan,et al.  Comparison of International Baccalaureate (IB) chemistry students’ preferred vs actual experience with a constructivist style of learning in a Moodle e‐learning environment , 2013 .

[10]  Steven P. Brown,et al.  On the use of beta coefficients in meta-analysis. , 2005, The Journal of applied psychology.

[11]  F. Chen Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance , 2007 .

[12]  Evelyne F. Vallières,et al.  On the Assessment of Intrinsic, Extrinsic, and Amotivation in Education: Evidence on the Concurrent and Construct Validity of the Academic Motivation Scale , 1993 .

[13]  Jere Brophy,et al.  Developing Students' Appreciation for What Is Taught in School , 2008 .

[14]  Luc G. Pelletier,et al.  Why do high school students lack motivation in the classroom? Toward an understanding of academic amotivation and the role of social support , 2006 .

[15]  A. Assor,et al.  Choice is good, but relevance is excellent: autonomy-enhancing and suppressing teacher behaviours predicting students' engagement in schoolwork. , 2002, The British journal of educational psychology.

[16]  Regina Vollmeyer,et al.  Computer use and the gender gap: The issue of access, use, motivation, and performance , 2007, Comput. Hum. Behav..

[17]  John Hattie,et al.  Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement , 2008 .

[18]  F. Dochy,et al.  The synergistic relationship of perceived autonomy support and structure in the prediction of self-regulated learning. , 2009, The British journal of educational psychology.

[19]  J. Eccles,et al.  The Development of Competence Beliefs, Expectancies for Success, and Achievement Values from Childhood through Adolescence , 2002 .

[20]  J. Reeve A Self-determination Theory Perspective on Student Engagement , 2012 .

[21]  E. Deci,et al.  Engaging students in learning activities: It is not autonomy support or structure but autonomy support and structure. , 2010 .

[22]  J. Reeve Why Teachers Adopt a Controlling Motivating Style Toward Students and How They Can Become More Autonomy Supportive , 2009 .

[23]  B. Means,et al.  The Effectiveness of Online and Blended Learning: A Meta-Analysis of the Empirical Literature , 2013, Teachers College Record: The Voice of Scholarship in Education.

[24]  Examining the reliability of a TOEIC Bridge practice test under 1-and 3-parameter item response models , 2012 .

[25]  Luc G. Pelletier,et al.  Why Do People Fail to Adopt Environmental Protective Behaviors? Toward a Taxonomy of Environmental Amotivation1 , 1999 .

[26]  Arun Ravindran,et al.  Time to Task , 2015 .

[27]  Robert E. Slavin,et al.  The Effectiveness of Educational Technology Applications for Enhancing Reading Achievement in K-12 Classrooms: A Meta-Analysis. Revised. , 2012 .

[28]  J. Reeve,et al.  Providing a Rationale in an Autonomy-Supportive Way as a Strategy to Motivate Others During an Uninteresting Activity , 2002 .

[29]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[30]  J. Eccles Expectancies, values and academic behaviors , 1983 .

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

[32]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[33]  The Time Factor in EFL Classroom Practice. , 2011 .

[34]  Silvia Micheletta John Hattie, Visible Learning. A synthesis of over 800 meta-analyses relating to achievement. London & New York: Routledge (2009). John Hattie, Visible Learning for teachers. Maximizing impact on learning. London & New York: Routledge (2012). , 2013 .

[35]  Robert M. DeKeyser Practice in a Second Language: Study abroad as foreign language practice , 2007 .

[36]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.

[37]  J. Harackiewicz,et al.  Motivating the Academically Unmotivated: A Critical Issue for the 21st Century , 2000 .

[38]  Luke K. Fryer,et al.  E-learning: Reasons students in language learning courses don't want to , 2014, Comput. Educ..

[39]  Charles R. Graham,et al.  A thematic analysis of the most highly cited scholarship in the first decade of blended learning research , 2014, Internet High. Educ..

[40]  Understanding Students’ Instrumental Goals, Motivation Deficits and Achievement: Through the Lens of a Latent Profile Analysis , 2016, Psychologica Belgica.

[41]  Jere Brophy,et al.  Toward a model of the value aspects of motivation in education: Developing appreciation for.. , 1999 .

[42]  Philip C. Abrami,et al.  What Forty Years of Research Says About the Impact of Technology on Learning , 2011 .

[43]  H. Walberg,et al.  Learning as a Function of Time , 1980 .

[44]  Kieren Jamieson,et al.  Increasing learners’ satisfaction/intention to adopt more e-learning , 2013 .

[45]  J. Reeve,et al.  Autonomy-Supportive Teachers: How They Teach and Motivate Students , 1999 .

[46]  Evelyne F. Vallières,et al.  The Academic Motivation Scale: A Measure of Intrinsic, Extrinsic, and Amotivation in Education , 1992 .

[47]  Benjamin Nagengast,et al.  Measurement invariance of big-five factors over the life span: ESEM tests of gender, age, plasticity, maturity, and la dolce vita effects. , 2013, Developmental psychology.

[48]  Luke K. Fryer,et al.  Instrumental reasons for studying in compulsory English courses: I didn't come to university to study English, so why should I? , 2014 .

[49]  Luke K. Fryer,et al.  Predicting self-concept, interest and achievement for first-year students: The seeds of lifelong learning , 2015 .

[50]  John M. Keller,et al.  First principles of motivation to learn and e3‐learning , 2008 .