Findings from a year long learning analytics study with students in Brighton Business school supports this statement. Other research agrees:
1 The probability of failing the course if a student hasn’t submitted assessment 1 is almost 90%, making assessment 1 a strong predictor of future failure.
2 Some focused investigation into the role of the first Tutor Marked Assignment in predicting the final outcome, found that failing the first assessment had a significant negative impact. Therefore, the key to improving retention is in identifying those students who are at risk of either submitting but failing, or not submitting this first assessment.
The elearning team want to help schools ensure that first assessments for our level 4 students are a success and that the technology doesn’t form a barrier to our students. We will be running a number of events to help ensure that your modules are ready to go and that you have the correct resources available to support your students.
Resources for staff:
Information Services support: Electronic Management of Assessment
CLT Assessment resources : Assessment and Feedback
Drop in sessions will be offered on each campus giving you an opportunity to check your modules are “assessment-ready” and the right support is in place for your students.
Resources for students:
Next steps in #StartConnected: The next six steps students should complete before their first assignment
Student Services: Study Skills Workshops
Student drop-ins will be provided as part of #StartConnected
Contact your school Learning Technologies Adviser to discuss what you can do to prepare your students’ for their first assignment.
- HLOSTA, M., ZDRAHAL, Z. & ZENDULKA, J. 2017. Ouroboros: early identification of at-risk students without models
based on legacy data. Proceedings of the Seventh International Learning Analytics & Knowledge Conference.
Vancouver, British Columbia, Canada: ACM
- Annika Wolff Zdenek Zdrahal Drahomira Herrmannova Jakub Kuzilek Martin Hlosta. 2013. Developing predictive
models for early detection of at-risk students on distance learning modules. Knowledge Media Institute, The OU