Interactive and Explainable Advising Dashboard Opens the Black Box of Student Success Prediction

[1]  Julio Guerra,et al.  For Learners, with Learners: Identifying Indicators for an Academic Advising Dashboard for Students , 2020, EC-TEL.

[2]  Katrien Verbert,et al.  Learning Analytics Dashboards to Support Adviser-Student Dialogue , 2018, IEEE Transactions on Learning Technologies.

[3]  Sameer Singh,et al.  “Why Should I Trust You?”: Explaining the Predictions of Any Classifier , 2016, NAACL.

[4]  Ramaswamy Palaniappan,et al.  Predicting students’ final degree classification using an extended profile , 2019, Education and Information Technologies.

[5]  Ming Yin,et al.  Understanding the Effect of Accuracy on Trust in Machine Learning Models , 2019, CHI.

[6]  Tinne De Laet,et al.  At-risk at the gate: prediction of study success of first-year science and engineering students in an open-admission university in Flanders—any incremental validity of study strategies? , 2019 .

[7]  Anouschka van Leeuwen,et al.  Learning analytics to support teachers during synchronous CSCL: balancing between overview and overload , 2015, J. Learn. Anal..

[8]  Rahaf Alamri,et al.  Explainable Student Performance Prediction Models: A Systematic Review , 2021, IEEE Access.

[9]  Hendrik Drachsler,et al.  Opportunities and Challenges in Using Learning Analytics in Learning Design , 2017, EC-TEL.

[10]  Mennatallah El-Assady,et al.  explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning , 2019, IEEE Transactions on Visualization and Computer Graphics.

[11]  Hanan Ayad,et al.  Student success system: risk analytics and data visualization using ensembles of predictive models , 2012, LAK.

[12]  Martijn Millecamp,et al.  Adoption and impact of a learning analytics dashboard supporting the advisor - Student dialogue in a higher education institute in Latin America , 2020, Br. J. Educ. Technol..

[13]  Xavier Ochoa,et al.  LADA: A learning analytics dashboard for academic advising , 2020, Comput. Hum. Behav..

[14]  R. Khanna.  Peeking Inside the Black Box: Inventor Turnover and Patent Termination , 2021, Journal of Management.

[15]  Katrien Verbert,et al.  Learning dashboards at scale: early warning and overall first year experience , 2019 .