Disparities in Students' Propensity to Consent to Learning Analytics

We investigated university students' propensity to consent to learning analytics through an email prompt, and collected respondents' perceived benefits and ...

A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out ...

Disparities in students' propensity to consent to learning analytics.

Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding ...

Disparities in Students' Propensity to Consent to Learning Analytics

AbstractUse of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency ...

Amplifying Student and Administrator Perspectives on Equity and ...

Disparities in students' propensity to consent to learning analytics. International Journal of Artificial Intelligence in Education, 32, 564–608 ...

Decision factors reported by students who consented - ResearchGate

Download scientific diagram | Decision factors reported by students who consented from publication: Disparities in Students' Propensity to Consent to ...

A review of learning analytics opportunities and challenges for K-12 ...

While some researchers have established the potential for learning analytics to support more equitable opportunities for all students [2,3,4], ...

What's the Problem with Learning Analytics? - ERIC

These gaps and omissions are especially important in terms of modelling what human learners and teachers do. Even the most complex models of “teaching” and “ ...

Distribution of factors from students denied consent - ResearchGate

Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding ...

Can student-facing analytics improve online students' effort and ...

The intervention significantly increased effort attribution, reduced ability attribution, and improved subsequent effort for a subgroup of students who self- ...

Amplifying Student and Administrator Perspectives on Equity ... - ERIC

Disparities in students' propensity to consent to learning analytics. International Journal of Artificial Intelligence in Education, 32, 564–608. https://dx ...

Learning analytics at the intersections of student trust, disclosure ...

This study reports on the views of entry level students at the Open University (OU) in 2018. The primary aim is to explore differences between stated attitudes ...

Reassessing Disparities in Online Learner Student Engagement in ...

Higher order learning assesses the extent to which coursework emphasizes sophisticated cognitive tasks including application, analysis, ...

Evidence‐based multimodal learning analytics for feedback and ...

We analysed the survey data of 74 students and 11 teachers regarding their perceptions of the MMLA system. We applied the Evaluation Framework ...

The Datafication of Student Life in Higher Education: Privacy ...

Disparities in students' propensity to consent to learning analytics. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007 ...

Fairness, Trust, Transparency, Equity, and Responsibility in ...

As such, learning analytics can exacerbate existing inequalities such as unequal access to support or opportunities based on (any combination of) ...

Dimensions of privacy and its implications for learning analytics ...

“Disparities in Students' Propensity to Consent to Learning Analytics.” International Journal of Artificial Intelligence in Education 32 ...

Students matter the most in learning analytics: The effects of internal ...

We apply mixed effect linear regression models, to examine: i) to what extent indicators of students' online learning behaviour can explain the variability in ...

Students' privacy concerns in learning analytics: Model development

Partial least square results show that the model accounts for high variance in privacy concerns, trusting beliefs, and non-self-disclosure ...

Assessing Disparities in Predictive Modeling Outcomes for College ...

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to ...