44019 |
Creator |
3a7e1208601d2480ab76f5a4888d255f |
44019 |
Creator |
c79cc1129e553cdca30fa856443ac46e |
44019 |
Creator |
11198bef6e7d4edae5825eeae94711dd |
44019 |
Creator |
44b7f5d08efc1e4311db9eb57d4f29bd |
44019 |
Creator |
659e52cc32c42698972152fe00cade8b |
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Date |
2015-06 |
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Is Part Of |
repository |
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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 |
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presentedAt |
ext-a6676f6e754177331ade8e77d911a0c8 |
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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 |
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type |
AcademicArticle |
44019 |
type |
Article |
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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 |