Institutional Perspectives on Faculty Development for Digital Education in Canada

VanLeeuwen, Charlene; Veletsianos, George; Belikov, Olga; Johnson, Nicole

doi:10.21432/cjlt27944

Cited by 13 publications

(10 citation statements)

References 15 publications

(16 reference statements)

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“…AI can open new possibilities for digital education in terms of augmenting teaching [8] and facilitating future digital education. Digital education refers to "teaching and learning activities which make use of digital technology as part of in-person, blended, and fully online learning contexts" [9]. Digital education is seen as the effective integration of digital technologies in student learning and teaching [10,11].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision

2022

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The use of artificial intelligence and machine learning techniques across all disciplines has exploded in the past few years, with the ever-growing size of data and the changing needs of higher education, such as digital education. Similarly, online educational information systems have a huge amount of data related to students in digital education. This educational data can be used with artificial intelligence and machine learning techniques to improve digital education. This study makes two main contributions. First, the study follows a repeatable and objective process of exploring the literature. Second, the study outlines and explains the literature’s themes related to the use of AI-based algorithms in digital education. The study findings present six themes related to the use of machines in digital education. The synthesized evidence in this study suggests that machine learning and deep learning algorithms are used in several themes of digital learning. These themes include using intelligent tutors, dropout predictions, performance predictions, adaptive and predictive learning and learning styles, analytics and group-based learning, and automation. artificial neural network and support vector machine algorithms appear to be utilized among all the identified themes, followed by random forest, decision tree, naive Bayes, and logistic regression algorithms.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision

2022

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“…Such institutional support might have played a very important role in achieving student satisfaction with the course designs. At the same time, as VanLeeuwen et al [44] indicate, there is an emergent need for professional development in digital education and this need has become "pressing" due to the impact of the pandemic.…”

Section: Teaching Presencementioning

confidence: 99%

Studying Abroad from Home: An Exploration of International Graduate Students’ Perceptions and Experiences of Emergency Remote Teaching

Yin

Ishige

2022

Education Sciences

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The temporary shift from face-to-face instruction to online teaching at North American universities as an alternative solution in response to the COVID-19 pandemic brought significant challenges to international students who had to study abroad from their home countries. Studies on how international students perceive their study-abroad-from-home experiences in such an emergency remote teaching (ERT) context remain scarce. Through the lens of Community of Inquiry and an additional perspective of emotional presence, this study explored 13 first-year international graduate students’ perceptions and experiences of their learning in ERT. Based on the analyses of the pre-learning questionnaire survey results and a series of three reflection journal entries, the study finds that teaching presence has played a vital role in shaping students’ understanding and experiences when they participated in a study-abroad graduate program from their home countries. In addition, the participants demonstrated mixed emotions of both frustration and appreciation/thankfulness as well as an isolation–connectedness emotional trajectory during their learning process. The study inspires an exploration of more diverse options for international education programs and continued effort in providing institutional support to ensure better learning experiences in a post-COVID community of inquiry.

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“…The absence of federal regulatory authority means that there is great variance across the country, as many education-related efforts are provincially-or institutionallyfocused (McGreal & Anderson, 2007). As digital learning in Canada has grown over time, training and support for faculty have also become increasingly necessary (Mohr & Shelton, 2017;VanLeeuwen et al, 2020).…”

Section: Rationale and Research Contextmentioning

confidence: 99%

An Analysis of Digital Education in Canada in 2017-2019

Veletsianos

VanLeeuwen

Belikov

et al. 2021

IRRODL

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Digital education refers to in-person, blended, and fully online learning efforts, as well as attempts to capture a wide range of teaching and learning contexts which make use of digital technology. While digital education is pervasive in Canada, pan-Canadian data on digital education are relatively scarce. The Canadian Digital Learning Research Association/Association Canadienne de Recherche sur la Formation en Ligne conducted pan-Canadian surveys of higher education institutions (2017-2019), collecting data on the digital education landscape and publishing annual reports of its results. Previous analyses of the data have used quantitative approaches. However, the surveys also collected responses to open-ended questions. In this study, we report a systematic analysis of qualitative data exploring the digital education landscape in Canada and its changes over time. Findings shed light on the growth of digital education, the situated and multidimensional nature of digital education, the adoption of openness, quality, and rigour, and the development of alternative credentials.

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Institutional Perspectives on Faculty Development for Digital Education in Canada

Cited by 13 publications

References 15 publications

Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision

Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision

Studying Abroad from Home: An Exploration of International Graduate Students’ Perceptions and Experiences of Emergency Remote Teaching

An Analysis of Digital Education in Canada in 2017-2019

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