2019
Mystakidis, Stylianos
Motivation enhanced deep and meaningful learning with social virtual reality Väitöskirja
Informaatioteknologia, Jyväskylän yliopisto, 2019, ISBN: 978-951-39-7977-5.
Abstract | Links | BibTeX | Avainsanat: deep and meaningful learning, distance education, e-learning, englanninkieliset väitöskirjat, game-based learning, MOOCs, motivation, open education, social virtual reality
@phdthesis{Mystakidis2019,
title = {Motivation enhanced deep and meaningful learning with social virtual reality},
author = {Stylianos Mystakidis},
url = {http://urn.fi/URN:ISBN:978-951-39-7977-5},
isbn = {978-951-39-7977-5},
year = {2019},
date = {2019-01-01},
school = {Informaatioteknologia, Jyväskylän yliopisto},
abstract = {Current online teaching and learning practices in distance education face limitations in terms of quality and effectiveness. The theories of deep and meaningful learning have the potential to address these challenges by placing emphasis on the cognitive, social and affective aspect of learning by engaging the person holistically. New e-learning models and frameworks are needed to develop and sustain learners’ high levels of motivation, engagement and satisfaction. This dissertation’s focus is on the motivation enhancement methods for deep and meaningful learning in distant education. The overall goal is to find out the effect of motivation-enhancement approaches using social virtual reality environments in e-learning and open education. Game-based approaches for enhancing intrinsic motivation include playful design, gamification and serious games. Previous empirical research in attendance-based, blended learning and online settings has shown promising results. However, there is a need for researching the effect of motivation enhancement methods in e-learning regarding the quality of learning. Can we improve learning quality and help learners achieve deep meaningful learning when instructional design and teaching focuses on intrinsic motivation? To understand the effect of motivation enhancement, eight articles were authored using research designs based on qualitative and quantitative methods. The dissertation proposes four tentative frameworks towards deep and meaningful e-learning utilizing game-based motivation enhancement methods; OpenQuest, Serious E-scape Room, the Blended Model for Deep & Meaningful E-learning in Social Virtual Reality Environments and the Patras Blended Strategy Model. The results from this study can accelerate the improvement of e-learning quality to address pressing societal and economic educational needs that affect the future of higher education and life-long learning. Facilitating deep and meaningful learning in online education to provide high-quality, flexible, personalized and transformative learning for large audiences could open new educational frontiers towards new milestones of economic growth, social progress and wellbeing.},
keywords = {deep and meaningful learning, distance education, e-learning, englanninkieliset väitöskirjat, game-based learning, MOOCs, motivation, open education, social virtual reality},
pubstate = {published},
tppubtype = {phdthesis}
}
Current online teaching and learning practices in distance education face limitations in terms of quality and effectiveness. The theories of deep and meaningful learning have the potential to address these challenges by placing emphasis on the cognitive, social and affective aspect of learning by engaging the person holistically. New e-learning models and frameworks are needed to develop and sustain learners’ high levels of motivation, engagement and satisfaction. This dissertation’s focus is on the motivation enhancement methods for deep and meaningful learning in distant education. The overall goal is to find out the effect of motivation-enhancement approaches using social virtual reality environments in e-learning and open education. Game-based approaches for enhancing intrinsic motivation include playful design, gamification and serious games. Previous empirical research in attendance-based, blended learning and online settings has shown promising results. However, there is a need for researching the effect of motivation enhancement methods in e-learning regarding the quality of learning. Can we improve learning quality and help learners achieve deep meaningful learning when instructional design and teaching focuses on intrinsic motivation? To understand the effect of motivation enhancement, eight articles were authored using research designs based on qualitative and quantitative methods. The dissertation proposes four tentative frameworks towards deep and meaningful e-learning utilizing game-based motivation enhancement methods; OpenQuest, Serious E-scape Room, the Blended Model for Deep & Meaningful E-learning in Social Virtual Reality Environments and the Patras Blended Strategy Model. The results from this study can accelerate the improvement of e-learning quality to address pressing societal and economic educational needs that affect the future of higher education and life-long learning. Facilitating deep and meaningful learning in online education to provide high-quality, flexible, personalized and transformative learning for large audiences could open new educational frontiers towards new milestones of economic growth, social progress and wellbeing.