Technology Enhanced Learning in higher education; motivations, engagement and academic achievement
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[1] Pierre-Yves Oudeyer,et al. Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. , 2016, Progress in brain research.
[2] Linda Price,et al. Technology-enhanced learning and teaching in higher education: what is ‘enhanced’ and how do we know? A critical literature review , 2014 .
[3] Peter Cabrera-Nguyen. Author Guidelines for Reporting Scale Development and Validation Results in the Journal of the Society for Social Work and Research , 2010, Journal of the Society for Social Work and Research.
[4] Jennifer Shewmaker,et al. Impact of mobile technology on student attitudes, engagement, and learning , 2017, Comput. Educ..
[5] Lourdes Alwis,et al. A study of the impact of technology-enhanced learning on student academic performance. , 2014 .
[6] S. A. Becker,et al. NMC Horizon Report: 2016 Higher Education Edition , 2015 .
[7] Ivica Boticki,et al. Usage of a mobile social learning platform with virtual badges in a primary school , 2015, Comput. Educ..
[8] E. Kahu. Framing student engagement in higher education , 2013 .
[9] Enhancing Student Trust Through Peer Assessment in Physical Education , 2001 .
[10] Tabassum Rashid,et al. Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations , 2016, Comput. Hum. Behav..
[11] W F Velicer,et al. Factors Influencing Four Rules For Determining The Number Of Components To Retain. , 1982, Multivariate behavioral research.
[12] Thomas J. Dunn,et al. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. , 2014, British journal of psychology.
[13] Jordi Conesa,et al. Evaluation of an eLearning Platform Featuring Learning Analytics and Gamification , 2016, 3PGCIC.
[14] S. Glynn,et al. Attitudinal and Motivational Constructs in Science Learning , 2013 .
[15] Jennifer A. Fredricks,et al. School Engagement: Potential of the Concept, State of the Evidence , 2004 .
[16] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[17] Chin-Chung Tsai,et al. Taiwan college students' self-efficacy and motivation of learning in online peer assessment environments , 2010, Internet High. Educ..
[18] Lennart E. Nacke,et al. The maturing of gamification research , 2017, Comput. Hum. Behav..
[19] Wynne W. Chin. Issues and Opinion on Structural Equation Modeling by , 2009 .
[20] J. Hair. Multivariate data analysis , 1972 .
[21] N. Selwyn,et al. Students’ everyday engagement with digital technology in university: exploring patterns of use and ‘usefulness’ , 2015 .
[22] Wade C. Jacobsen,et al. The Wired Generation: Academic and Social Outcomes of Electronic Media Use Among University Students , 2011, Cyberpsychology Behav. Soc. Netw..
[23] Richard Walker,et al. 2008 Survey of Technology Enhanced Learning for higher education in the UK , 2008 .
[24] Allison Littlejohn,et al. Are digital natives a myth or reality? University students' use of digital technologies , 2011, Comput. Educ..
[25] Gita Taasoobshirazi,et al. Science motivation questionnaire II: Validation with science majors and nonscience majors , 2011 .
[26] Erik Duval,et al. Technology Enhanced Learning , 2017 .
[27] Ming-Te Wang,et al. Adolescent Behavioral, Emotional, and Cognitive Engagement Trajectories in School and Their Differential Relations to Educational Success. , 2012 .
[28] Eric Zhi-Feng Liu,et al. Web-based peer assessment: feedback for students with various thinking-styles , 2001, J. Comput. Assist. Learn..
[29] N. Falchikov. Peer Feedback Marking: Developing Peer Assessment , 1995 .
[30] Hamish Coates,et al. Doing more for learning: enhancing engagement and outcomes , 2010 .
[31] W. Velicer,et al. Comparison of five rules for determining the number of components to retain. , 1986 .
[32] Rex B. Kline,et al. Principles and Practice of Structural Equation Modeling , 1998 .
[33] K. Tobin,et al. Pupil engagement in learning tasks: A fertile area for research in science teaching , 1981 .
[34] Gregory Schraw,et al. Effect of Choice on Cognitive and Affective Engagement , 2003 .
[35] A. Hamid. e-Learning: Is it the "e" or the learning that matters? , 2001, Internet High. Educ..
[36] John W. Saye,et al. Using Technology-Enhanced Learning Environments to Support Problem-based Historical Inquiry in Secondary School Classrooms , 2007 .
[37] Hsin-Kai Wu,et al. Ninth-Grade Student Engagement in Teacher-Centered and Student-Centered Technology-Enhanced Learning Environments. , 2007 .
[38] Ton de Jong,et al. Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .
[39] David Fonseca,et al. Relationship between student profile, tool use, participation, and academic performance with the use of Augmented Reality technology for visualized architecture models , 2014, Comput. Hum. Behav..
[40] Doris McGartland Rubio,et al. A Validation of the Subjective Vitality Scale Using Structural Equation Modeling , 2000 .
[41] Joan M. Whitehead. Motives for higher education: a study of intrinsic and extrinsic motivation in relation to academic attainment , 1984 .
[42] Stephen J. H. Yang,et al. A collaborative digital pen learning approach to improving students' learning achievement and motivation in mathematics courses , 2017, Comput. Educ..
[43] Michael Trimmel,et al. Cognitive, social, motivational and health aspects of students in laptop classrooms , 2004, J. Comput. Assist. Learn..
[44] E. Pechenkina,et al. What Do Students Want? Making Sense of Student Preferences in Technology-enhanced Learning , 2017 .