2020
DOI: 10.1080/13562517.2020.1739641
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The case of Canvas: Longitudinal datafication through learning management systems

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Cited by 54 publications
(37 citation statements)
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“…The Canvas is a globally trusted LMS. [3][4][5] Prior to the COVID lock down, quality efforts had been put in place to use Canvas in a very robust manner to engage both the faculty and student, and without which it was impractical to teach in the school [Figure 1]. This robust use of the LMS and the experience with such a reliable LMS enabled the institution to migrate to the online or virtual learning environment, with strategic adjustments but without negative fallout.…”
Section: Systematic Adjustmentmentioning
confidence: 99%
“…The Canvas is a globally trusted LMS. [3][4][5] Prior to the COVID lock down, quality efforts had been put in place to use Canvas in a very robust manner to engage both the faculty and student, and without which it was impractical to teach in the school [Figure 1]. This robust use of the LMS and the experience with such a reliable LMS enabled the institution to migrate to the online or virtual learning environment, with strategic adjustments but without negative fallout.…”
Section: Systematic Adjustmentmentioning
confidence: 99%
“…Clearly, the distribution of resources in this hypothetical case is unfair-but plausible. More recently, the learning analytics community has seriously considered whether or not fairness and bias issues are becoming embedded in the predictive measures and machine learning algorithms that drive them [27], [28].…”
Section: Privacy and Ethics Issuesmentioning
confidence: 99%
“…The GDPR aims to give data subjects more power with individual rights, such as the right to erasure, the right to be informed of data use, and the right to data portability. Privacy is immensely important, especially in the light of surveillance (Marachi & Quill, 2020;Zuboff, 2019), and the digital economy's imperative of controlling citizens and organisations by digital data and digital means (Sadowski, 2020b). However, the GDPR does not tackle the issues of value extraction and redistribution; as well as the impact of particular business models on the design of platforms found in HE.…”
Section: Political Move: From Data Privacy To Data Valuementioning
confidence: 99%