The Use of Cloud-Computing to Promote Collaborative Learning in Higher Education

Martin, Melissa S.; Hugues, Rachel E.; Puliatte, Alison

doi:10.4018/978-1-5225-7763-8.ch002

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Whilst others experienced fieldwork as a means of complementing classroom activities, they prefer simulated and gamified learning (Obi-Aso, 2020;Saxena et al, 2021;Zain et al, 2021). ; Even when others were examined individually during tests, generation Zs prefer collaborative presentations (Martin et al, 2019;Zorn, 2017). Finally, while others had physical interactions with their lecturers, generation Zs prefer the use of interactive applications such as e-messaging applications like WhatsApp, email and social media to engage their lecturers.…”

Section: Introductionmentioning

confidence: 99%

Predictors of Student Apathy amongst Generation Z

EWURUM,

Obi-Aso,

Emoh

2024

JARER

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While extant evidence suggests that generation Z students are the dominant demography in universities, drivers of their apathetic behaviour for traditional pedagogic offerings appears minimally researched. The criticality of this lacuna lies in empirical evidence citing linear relationships between apathy and reduced performance. Thus, the study ascertains the predictors of learning apathy amongst generation Z students, using Estate Management departments in public Nigerian universities. Descriptive research design was employed on 244 generation Z students. Adapting the Theory of Planned Behavior to allow for generation Z-preferred learning preferences, Ordered Logit model was used to examine student apathy predictors in public universities. The logits report state of collaborative and simulated learning as significant predictors of student apathy. The findings delineated pathways for policy reengineering towards reduced apathy and improved satisfaction in universities. This is one of few studies at the fore of identifying learning apathy of generation Z students in public tertiary institutions.

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Section: Introductionmentioning

confidence: 99%

Predictors of Student Apathy amongst Generation Z

EWURUM,

Obi-Aso,

Emoh

2024

JARER

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“…The use of cloud-supported collaborative learning tools in higher education can aid the teaching and learning processes (Martin et al 2019). Meanwhile, cloud tools for collaborative learning may play a vital role in constructing a positive learning experience for students because its applications are more convenient for chatting, sending queries, recording audio meetings, processing documents, and delivering content (Zhaobin et al 2013).…”

mentioning

confidence: 99%

Engagement in cloud-supported collaborative learning and student knowledge construction: a modeling study

Baanqud

Al-Samarraie

Alzahrani

et al. 2020

Int J Educ Technol High Educ

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Many universities, especially in low-income countries, have considered the potential of cloud-supported collaborative learning in planning and managing students’ learning experiences. This is because cloud tools can offer students the necessary skills for collaboration with one another and improving communication between all users. This study examined how cloud tools can help students engage in reflective thinking, knowledge sharing, cognitive engagement, and cognitive presence experiences. The impact of these experiences on students’ functional intellectual ability to construct knowledge was also examined. A quantitative questionnaire was used to collect data from 150 postgraduate students. A reflective–formative hierarchical model was developed to explain students' knowledge construction in the cloud environment. The findings revealed a positive influence of cognitive engagement, knowledge sharing, and reflective thinking on students’ knowledge construction. Outcomes from this study can help decision makers, researchers, and academicians to understand the potential of using cloud-supported collaborative tools in developing individuals’ knowledge construction.

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“…A more recent literature review on the benefits and challenges of cloud computing adoption and usage in higher education comes from Ali, Wood-Harper and Mohamad (2018). There is also an increasing number of surveys on the use of cloud computing for alternative styles of learning such as collaborative learning, mobile learning, e-learning or blended learning (Martin, Hugues, & Puliatte, 2019;Arpaci, 2019;El Mhouti, Erradi, & Nasseh, 2018;Al-Samarraie & Saeed, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

David against Goliath: How a University Cloud Succeeds in the Niche of Higher Education – a User Survey

Thoring¹,

Rudolph²,

Vogl³

EPiC Series in Computing

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In the discussion about digital sovereignty, an important goal of the EU, there is always the fear that no one would stand a chance against the big giants from the U.S. which dominate the cloud market thanks to early starts, huge resources and network effects. However, the state-funded open source project “sciebo” proves the opposite, at least in the higher education sector. High data protection is a central argument for using a private cloud service at universities, but this alone does not make it competitive. University-specific functions and integrations – for example in the area of digital teaching or research data management – can be a unique selling point, but for a majority of students and employees the basic sync and share functions seem to be sufficient. So how can a university cloud service compete with commercial offers and what can make it successful in the long term? In a cloud landscape dominated by big players like Microsoft, Apple or Google, who move their established services to the cloud and encourage customers to also use their cloud storage with the arguments of a central account and seamless linkage with their other products, this question needs to be addressed to those at the front line: the users. To investigate the above question, we conducted a user survey, taking the university cloud service “sciebo” as an example, which has been in use at numerous higher education institutions in the German state of North Rhine-Westphalia since 2015.

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The Use of Cloud-Computing to Promote Collaborative Learning in Higher Education

Cited by 3 publications

References 12 publications

Predictors of Student Apathy amongst Generation Z

Predictors of Student Apathy amongst Generation Z

Engagement in cloud-supported collaborative learning and student knowledge construction: a modeling study

David against Goliath: How a University Cloud Succeeds in the Niche of Higher Education – a User Survey

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