subject predicate object context
44019 Creator 3a7e1208601d2480ab76f5a4888d255f
44019 Creator c79cc1129e553cdca30fa856443ac46e
44019 Creator 11198bef6e7d4edae5825eeae94711dd
44019 Creator 44b7f5d08efc1e4311db9eb57d4f29bd
44019 Creator 659e52cc32c42698972152fe00cade8b
44019 Date 2015-06
44019 Is Part Of repository
44019 abstract Improving student retention rates is a critical task not only for traditional universities but particularly in distance learning courses, which are in recent years rapidly gaining in popularity. Early indications of potential student failure enable the tutor to provide the student with appropriate assistance, which might improve the student’s chances of passing the course. Collated results for a course cohort can also assist course teams to identify problem areas in the educational materials and make improvements for future course presentations. Recent work at the Open University (OU) has focused on improving student retention by predicting which students are at risk of failing. In this paper we present the models implemented at the OU, evaluate these models on a selected course and discuss the issues of creating the predictive models based on historical data, particularly mapping the content of the current presentation to the previous one. These models were initially tested on two courses and later extended to ten courses.
44019 authorList authors
44019 presentedAt ext-a6676f6e754177331ade8e77d911a0c8
44019 status peerReviewed
44019 uri http://data.open.ac.uk/oro/document/341716
44019 uri http://data.open.ac.uk/oro/document/341721
44019 uri http://data.open.ac.uk/oro/document/341722
44019 uri http://data.open.ac.uk/oro/document/341723
44019 uri http://data.open.ac.uk/oro/document/341724
44019 uri http://data.open.ac.uk/oro/document/341725
44019 uri http://data.open.ac.uk/oro/document/341873
44019 type AcademicArticle
44019 type Article
44019 label Herrmannova, Drahomira ; Hlosta, Martin ; Kuzilek, Jakub and Zdrahal, Zdenek (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 Jun 2015, Barcelona, Spain.
44019 label Herrmannova, Drahomira ; Hlosta, Martin ; Kuzilek, Jakub and Zdrahal, Zdenek (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 Jun 2015, Barcelona, Spain.
44019 Title Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues
44019 in dataset oro