A qualitative investigation of psychological need-satisfying experiences of a mobile learning application: A Self-Determination Theory approach

Crompton, 2013, A historical overview of m-learning: toward learner-centered education, 3 Schmid, 2014, The effects of technology use in postsecondary education: a meta-analysis of classroom applications, Comput Educ, 72, 271, 10.1016/j.compedu.2013.11.002 Danish, 2020, On activities and affordances for mobile learning, Contemp Educ Psychol, 60, 1, 10.1016/j.cedpsych.2019.101829 Khaddage, 2016, Advancing mobile learning in formal and informal settings via mobile app technology: where to from here, and how?, Educational Technology & Society, 19, 16 Bernacki, 2020, Towards convergence of mobile and psychological theories of learning, Contemp Educ Psychol, 60, 1, 10.1016/j.cedpsych.2019.101828 Shroff, 2017, A proposed framework to understand the intrinsic motivation factors on university students’ behavioral intention to use a mobile application for learning, Journal of Information Technology Education: Research, 16, 143, 10.28945/3694 Jeno, 2020, The effects of a goal-framing and need-supportive app on undergraduates’ intentions, effort, and achievement in mobile science learning, Computers & Education, 159, 10.1016/j.compedu.2020.104022 Mayer, 2020, Where is the learning in mobile technologies for learning?, Contemp Educ Psychol, 60, 1, 10.1016/j.cedpsych.2019.101824 Crompton, 2018, The use of mobile learning in higher education: a systematic review, Comput Educ, 123, 53, 10.1016/j.compedu.2018.04.007 Sophonhiranrak, 2021, Features, barriers, and influencing factors of mobile learning in higher education: a systematic review, Heliyon, 7, 10.1016/j.heliyon.2021.e06696 Güler, 2021, A meta-analysis of the impact of mobile learning on mathematics achievement, Education and Information Technologies Kates, 2018, The effects of mobile phone use on academic performance: a meta-analysis, Comput Educ, 127, 107, 10.1016/j.compedu.2018.08.012 Amez, 2020, Smartphone use and academic performance: a literature review, Int J Educ Res, 103, 1, 10.1016/j.ijer.2020.101618 Ryan, 2017 Ryan, 2020, Intrinsic and extrinsic motivation from a self-determination theory perspective: definitions, theory, practices, and future directions, Contemp Educ Psychol, 61, 1, 10.1016/j.cedpsych.2020.101860 Ryan, 2006, Self-regulation and the problem of human autonomy: does psychology need choice, self-determination, and will?, J Pers, 74, 1557, 10.1111/j.1467-6494.2006.00420.x Ryan, 2009, Self-Determination Theory in schools of education. Can an empirically supported framework also be critical and liberating?, Theory and Research in Education, 7, 263, 10.1177/1477878509104331 Jeno, 2021, Testing the METUX model in higher education: Interface and task need–satisfaction predict engagement, learning, and well-being, Frontiers in Psychology, 12, 1 Peters, 2018, Designing for motivation, engagement and wellbeing in digital experience, Front Psychol, 9 Bernacki, 2020, Mobile technology, learning, and achievement: advances in understanding and measuring the role of mobile technology in education, Contemp Educ Psychol, 60, 1, 10.1016/j.cedpsych.2019.101827 Pimmer, 2016, Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies, Comput Human Behav, 63, 490, 10.1016/j.chb.2016.05.057 Deci, 1999, A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation, Psychol Bull, 125, 627, 10.1037/0033-2909.125.6.627 Lee, 2021, Mobile microlearning: a systematic literature review and its implications, Interactive Learning Environments, 10.1080/10494820.2021.1977964 Lai, 2019, How is the use of technology in education evaluated? A systematic review, Comput Educ, 133, 27, 10.1016/j.compedu.2019.01.010 Salikhova, 2020, Psychological aspects of digital learning: a self-determination theory perspective, Contemporary Educational Technology, 12, 1, 10.30935/cedtech/8584 Chirkov, 2018, Statistical positivism versus critical scientific realism. A comparison of two paradigms for motivation research: part 1. A philosophical and empirical analysis of statistical positivism, Theory Psychol, 1 Chirkov, 2018, Statistical positivism versus critical scientific realism. A comparison of two paradigms for motivation research: part 2. A philosophical and empirical analysis of critical scientific realism, Theory Psychol, 28, 737, 10.1177/0959354318816829 Villalobos-Zúñiga, 2020, Apps that motivate: a taxonomy of app features based on self-determination theory, Int J Hum Comput Stud, 140, 1, 10.1016/j.ijhcs.2020.102449 Jeno, 2017, The effect of a mobile-application tool on biology students’ motivation and achievement in species identification: A Self- Determination Theory perspective, Computers & Education, 107, 1, 10.1016/j.compedu.2016.12.011 Jeno, 2019, The effects of m-learning on motivation, achievement, and well-being: A Self-Determination Theory approach, British Journal of Educational Technology, 50, 669, 10.1111/bjet.12657 Alamer, 2021, Effects of using the WhatsApp application on language learners motivation: a controlled investigation using structural equation modelling, Computer Assisted Language Learning Peters, 2017, Young people's preferences for an asthma self-management app highlight psychological needs: a participatory study, J Med Internet Res., 19, 1, 10.2196/jmir.6994 Nikou, 2017, Mobile-based assessment: integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance, Comput Human Behav, 68, 83, 10.1016/j.chb.2016.11.020 Yang, 2018, Why do college students continue to use mobile learning? Learning involvement and self-determination theory, British Journal of Educational Technology, 50, 626, 10.1111/bjet.12634 Hsu, 2019, Reexamining the impact of self-determination theory on learning outcomes in the online learning environment, Education and Information Technologies, 10.1007/s10639-019-09863-w Filak, 2018, Differentiations in motivation and need satisfaction based on course modality: a self-determination theory perspective, Educ Psychol (Lond), 38, 772, 10.1080/01443410.2018.1457776 Martin, 2018, A framework for self-determination in massive open online courses: design for autonomy, competence, and relatedness, Australasian Journal of Educational Technology, 34, 35, 10.14742/ajet.3722 Mingyue, 2022, Applying the time continuum model of motivation to explain how major factors affect mobile learning motivation: a comparison of SEM and fsQCA, Online Information Review Reeve, 2021, Autonomy-supportive teaching: its malleability, benefits, and potential to improve educational practice, Educ Psychol, 56, 54, 10.1080/00461520.2020.1862657 Ryan, 2019, Motivation, 391 Moser, 2017, Series: practical guidance to qualitative research. Part 1: introduction, European Journal of General Practice, 23, 271, 10.1080/13814788.2017.1375093 Wannheden, 2021, Satisfied or frustrated? A qualitative analysis of need satisfying and need frustrating experiences of engaging with digital health technology in chronic care, Front Public Health, 8, 1 Kvale, 2008 Kitzinger, 2001, Introduction: the challenge and promise of focus groups, 1 bioCEED. (2017). ArtsApp. https://bioceed.w.uib.no/artsapp/. Rigby, 2011 Twining, 2017, Some guidance on conducting and reporting qualitative studies, Comput Educ, 106, A1, 10.1016/j.compedu.2016.12.002 Moser, 2018, Series: practical guidance to qualitative research. Part 3: sampling, data collection and analysis, European Journal of General Practice, 24, 9, 10.1080/13814788.2017.1375091 Braun, 2006, Using thematic analysis in psychology, Qual Res Psychol, 3, 77, 10.1191/1478088706qp063oa Mortelmans, 2019, Analyzing Qualitative Data Using NVivo, 435 Braun, 2020, One size fits all? What counts as quality practice in (reflexive) thematic analysis?, Qual Res Psychol, 1 Korstjens, 2018, Series: practical guidance to qualitative research. Part 4: trustworthiness and publishing, European Journal of General Practice, 24, 120, 10.1080/13814788.2017.1375092 Ryan, 2017, Competence as central, but not sufficient, for high-quality motivation: a Self-Determination Theory perspective, 214 Deci, 2014, Autonomy and need satisfaction in close relationships: relationships Motivation Theory, 53 Deslauriers, 2019, Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom, PNAS, 1 Watson, 2009, Classification and the dichotomous key, The Science Teacher, 76, 50 Inzlicht, 2018, The effort paradox: effort is both costly and valued, Trends Cogn Sci (Regul Ed.), 22, 337, 10.1016/j.tics.2018.01.007 Deci, 1985 Deci, 1992, The relation of interest to the motivation of behavior: a Self-Determination Theory perspective, 43 Peng, 2012, Need satisfaction supporting game features as motivational determinants: an experimental study of a Self-Determination Theory guided exergame, Media Psychol, 15, 175, 10.1080/15213269.2012.673850 Szalma, 2014, On the application of motivation theory to human factors/ergonomics: motivational design principles for human-technology interaction, Hum Factors, 56, 1453, 10.1177/0018720814553471 Creswell, 2000, Determining validity in qualitative inquiry, Theory Pract, 39, 124, 10.1207/s15430421tip3903_2 Hole, 2018, Working and learning in a field excursion, CBE-Life Sciences Education, 17, 1 Vansteenkiste, 2018, Fostering personal meaning and self-relevance: a Self-Determination Theory perspective on internalization, The journal of Experimental Education, 86, 30, 10.1080/00220973.2017.1381067 Ryan, 2019, Reflections on self-determination theory as an organizing framework for personality psychology: interfaces, integrations, issues, and unfinished business, J Pers, 87, 115, 10.1111/jopy.12440