Loading...
Please wait, while we are loading the content...
Similar Documents
Does regular online testing enhance student learning in the numerical sciences? Robust evidence from a large data set (2009)
| Content Provider | CiteSeerX |
|---|---|
| Author | Watson, Judith Angus, Simon D. |
| Abstract | In recent years, online tools have increasingly contributed to both course delivery and assessment across various domains with mixed quantitative results. We examine the introduction of a regular online assessment tool ('e-quiz') delivered by the WebCT Vista content management system to a large first-year quantitative methods course at UNSW, Sydney (Australia). Unique aspects of this study include the quantitative (mathematical) nature of the online learning, the larger than usual sample size (n> 1500 in toto), the inclusion of several difficult-to-obtain explanatory variables, and the high diversity in sub-population attributes. We principally measure the effectiveness of the e-quiz tool from the perspective of student performance in an end of semester closed-book examination. We also consider student opinions and attitudes to the introduction of the online tool. Data taken on attendance at voluntary peer-assisted learning classes, used as a proxy for student effort, along with pre-enrolment mathematical aptitude data are used to identify the specific contribution of the e-quiz tool to student learning. We find support for the hypothesis that regular usage of online learning tools (not grade) significantly and positively contributes to student performance. Furthermore, we find that the hypothesis that this improvement is due mainly to improving student feedback is supported by an analysis of student surveys. Finally, in an extension, we consider the use of such low-cost, online quizzes as a possible identifier for 'at-risk ' students. 1 |
| File Format | |
| Journal | British Journal of Educational Technology |
| Language | English |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | Large Data Set Numerical Science Enhance Student Robust Evidence Online Tool E-quiz Tool Pre-enrolment Mathematical Aptitude Data Specific Contribution Regular Usage Unique Aspect Student Effort Online Quiz Large First-year Quantitative Method Course Sub-population Attribute Student Feedback Webct Vista Content Management System Student Performance Various Domain Regular Online Assessment Tool Voluntary Peer-assisted Learning Class Online Learning Tool Course Delivery Semester Closed-book Examination High Diversity Possible Identifier Online Learning Mixed Quantitative Result Several Difficult-to-obtain Explanatory Variable Student Survey Usual Sample Size Recent Year Student Opinion |
| Content Type | Text |
| Resource Type | Article |
