subject predicate object context
71144 Creator 3a7e1208601d2480ab76f5a4888d255f
71144 Creator 210f2fe0a08b0fbfcda55d529f70583f
71144 Creator a9a97ac58a1dd64befd06ad78f505793
71144 Date 2020
71144 Is Part Of repository
71144 abstract Despite recognising the importance of transparency and understanding of predictive models, little effort has been made to investigate the errors made by these models. In this paper, we address this gap by interviewing 12 students whose results and predictions of submitting their assignment differed. Following our previous quantitative analysis of 25,000+ students, we conducted online interviews with two groups of students: those predicted to submit their assignment, yet they did not (False Negative) and those predicted not to submit, yet they did (False Positive). Interviews revealed that, in False Negatives, the non-submission of assignments was explained by personal, financial and practical reasons. Overall, the factors explaining the different outcomes were not related to any of the student data currently captured by the predictive model.
71144 authorList authors
71144 presentedAt ext-6f622a1d89e202ebdff8865f0457de29
71144 status peerReviewed
71144 uri http://data.open.ac.uk/oro/document/1164213
71144 uri http://data.open.ac.uk/oro/document/1164215
71144 uri http://data.open.ac.uk/oro/document/1164216
71144 uri http://data.open.ac.uk/oro/document/1164217
71144 uri http://data.open.ac.uk/oro/document/1164218
71144 uri http://data.open.ac.uk/oro/document/1164219
71144 uri http://data.open.ac.uk/oro/document/1190840
71144 volume 12164
71144 type AcademicArticle
71144 type Article
71144 label Hlosta, Martin ; Papathoma, Tina and Herodotou, Christothea (2020). Explaining Errors in Predictions of At-Risk Students in Distance Learning Education. In: Artificial Intelligence in Education, Lecture Notes in Computer Science (LNCS), Springer, pp. 119–123.
71144 Publisher ext-1c5ddec173ca8cdfba8b274309638579
71144 Title Explaining Errors in Predictions of At-Risk Students in Distance Learning Education
71144 in dataset oro