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Journal Article

Synthesizing Technology Adoption and Learners Approaches Towards Active Learning in Higher Education  pp442-451

Kevin Chan, George Cheung, Kelvin Wan, Ian Brown, Green Luk

© Dec 2015 Volume 13 Issue 6, ICEL 2015, Editor: Pandora Johnson, pp429 - 474

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Abstract

Abstract: In understanding how active and blended learning approaches with learning technologies engagement in undergraduate education, current research models tend to undermine the effect of learners variations, particularly regarding their styles and a pproaches to learning, on intention and use of learning technologies. This study contributes to further examine a working model for learning outcomes in higher education with the Unified Theory of Acceptance and Use of Technology (UTAUT) on SRS adoption attitude, and the Study Process Questionnaire (SPQ) on students approach to learning. Adopting a cross‑section observational design, the current study featured an online survey incorporating items UTAUT and SPQ. The survey was administered to 1627 und ergraduate students at a large comprehensive university in Hong Kong. Relationships between SRS adoption attitude, learning approaches, and learning outcomes in higher‑order thinking & learning and collaborative learning were analyzed with a structural eq uation model (SEM). A total of 3 latent factors, including four factors from UTAUT in Performance Expectancy, Effort Expectancy, and Deep Learning Approach from the SPQ, were identified in the structural model on students intention to adopt SRS in clas ses. Current results suggested that a model of active learning outcomes comprising both UTAUT constructs and deep learning approach. Model presented in the present study supported the UTAUT in predicting both behavioral intention and in adopting SRS in la rge classes of undergraduate education. Specifically, positive attitudes towards SRS use measured with the UTAUT, via a learning approach towards deep learning, accounted for variation on high‑impact learning including higher‑order thinking and collaborat ive learning. Results demonstrated that the process of technology adoption should be conceptualized in conjunction with learners diversity for explaining variation in adoption of technologies in the higher education context.

 

Keywords: Keywords: Technology adoption, Learning Approaches, Students Response System, SRS, Higher Education

 

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Journal Article

Beyond Stalemate: Seeking Solutions to Challenges in Online and Blended Learning Programs  pp56-66

Paula Charbonneau-Gowdy

© Feb 2018 Volume 16 Issue 1, Editor: Rikke Ørngreen and Karin Levinsen, pp1 - 79

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Abstract

Concerned calls for more empirical research in the area of fully or blended online learning approaches have yet to be heeded. The concern is not unwarranted given that most higher learning institutions worldwide are moving increasingly to partial or complete online course offerings. Our own work in this area has been directed at uncovering challenges in Virtual Learning Environments (VLE’s), particularly those related to participatory issues that are being recognized in educational scholarship from a sociocultural perspective as the essence of successful learning, regardless of the field. The high stakes involved in learners´ proactive and critical participation in knowledge building through social interaction online, as opposed to passive assimilation, are closely connected to effective programs and their desired outcomes. We have argued that understanding the barriers that prevent these participatory practices involves a multifaceted perspective, including the voices of learners, and importantly, teaching practitioners. The significant quantitative and qualitative data we have generated in the different phases of our longitudinal inquiry using case study methodology have revealed disturbing challenges in the programs. These issues are primarily rooted in the degree of active participation on the part of many learners, especially in essential social interactive practices and this despite the commitment, enthusiasm and support of instructors for the VLE modality. Yet without significant student engagement and responsive participation not only are learning goals jeopardized, but so too is the underlying cost structure that often is assumed to support such programs. We are left with seeking a way forward. To do so, in this paper, we apply the investigative work we have done to emerging frameworks for evaluating these online programs. Our aim is to uncover a clear and evidenced‑based argument for solutions to offer to key stakeholders and concrete steps they can take for improving their blended modality program offerings. The results of this exercise we believe provide an accessible roadmap for action for the large‑scale online program in our investigation and new insight for online learning more broadly.

 

Keywords: Program evaluation framework, Virtual Learning Environments, large-scale online programs, social e-learning approaches

 

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