Learning analytics in collaborative learning supported by Slack: From the perspective of engagement

Zhang, Xi; Meng, Yao; Pablos, Patricia Ordóñez de; Sun, Yongqiang

doi:10.1016/j.chb.2017.08.012

Cited by 95 publications

(71 citation statements)

References 56 publications

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“…For example, Pardo et al [8] addressed the challenges impeding the capacity of instructors to provide personalized feedback at scale. Zhang et al [9] explored the role of Slack in collaborative learning engagement. Shoufan [10] investigated how YouTube videos could support online learning.…”

Section: Related Workmentioning

confidence: 99%

Exploring Navigation Styles in a FutureLearn MOOC

Shi

Cristea

Toda

et al. 2020

Intelligent Tutoring Systems

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This paper presents for the first time a detailed analysis of finegrained navigation style identification in MOOCs backed by a large number of active learners. The result shows 1) whilst the sequential style is clearly in evidence, the global style is less prominent; 2) the majority of the learners do not belong to either category; 3) navigation styles are not as stable as believed in the literature; and 4) learners can, and do, swap between navigation styles with detrimental effects. The approach is promising, as it provides insight into online learners' temporal engagement, as well as a tool to identify vulnerable learners, which potentially benefit personalised interventions (from teachers or automatic help) in Intelligent Tutoring Systems (ITS).

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Section: Related Workmentioning

confidence: 99%

Exploring Navigation Styles in a FutureLearn MOOC

Shi

Cristea

Toda

et al. 2020

Intelligent Tutoring Systems

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show abstract

“…Based on the study, we propose two research opportunities. One is related to unequal engagement in group work, known as freeriding (Zhang et al, 2017). The contributions of individual students in group work are normally evaluated with self-reflective reports or feedback discussions after the course.…”

Section: Discussionmentioning

confidence: 99%

Using Slack for computer-mediated communication to support higher education students’ peer interactions during Master’s thesis seminar

Tuhkala

Kärkkäinen

2018

Educ Inf Technol

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“…Learning Analytics and applications have received growing attention in recent years from various perspectives (Lytras, Raghavan, and Damiani 2017;Lytras et al 2018aLytras et al , 2018bLytras et al , 2018cZhang et al 2018). The thriving numbers of Big Data creation in Higher Education have captured the attention of Higher Education, computer engineering, and business researchers that, in the past years, have been trying to decipher the phenomenon of Higher Education Performance and Innovation (Visvizi, Lytras, and Daniela 2018), its relation to already-conducted research, and its implications for new research opportunities that affect innovations in teaching and higher education dynamics.…”

Section: Editorialmentioning

confidence: 99%