Is activity in online quizzes correlated with higher exam marks?

References

• Brothen , T. and Wambach , C. 2001 . Effective student use of computerized quizzes . Teaching of Psychology , 28 ( 4 ) : 292 – 294 . (Doi: 10.1207/S15328023TOP2804_10.) doi: 10.1207/S15328023TOP2804_10
   Web of Science ®Google Scholar
• Cameron , M. P. and Lim , S. Recognising and building on freshman students’ prior knowledge of economics . 15th Australasian Teaching Economics Conference . Edited by: Cameron , M. P. and Lim , S. pp. 3 – 24 .
   Google Scholar
• Grimstad , K. and Grabe , M. 2004 . Are online study questions beneficial? . Teaching of Psychology , 31 ( 2 ) : 143 – 146 . (Doi: 10.1207/s15328023top3102_8.) doi: 10.1207/s15328023top3102_8
   Web of Science ®Google Scholar
• Hickson , S. Predicting student achievement in intermediate university economics from principles assessments . 15th Australasian Teaching Economics Conference . Edited by: Cameron , M. P. and Lim , S. pp. 263 – 282 .
   Google Scholar
• Hickson , S. 2010b . The impact of question format in principles of economics classes: Evidence from New Zealand . New Zealand Economic Papers , 44 ( 3 ) : 269 – 287 . (Doi: 10.1080/00779954.2010.522165.) doi: 10.1080/00779954.2010.522165
   Google Scholar
• McKeown , P. C. and Maclean , G. 2010a . “ Modelling student study behaviour and marks in on-line quizzes in Econ 101 ” . In Australasian Teaching Economics Conference, pp. 175–202, , Edited by: Cameron , M. P. and Lim , S. 175 – 202 . Waikato University .
   Google Scholar
• McKeown , P. C. and Maclean , G. 2010b . “ The prediction of exam aegrotats using the nearest-neighbour method ” . In Quantitative Analysis of Teaching and Learning in Higher Education in Economics, Commerce and Business. Proceedings of the One Day Forum 12/2/2010 , Edited by: Davies , W. M. and Draper , S. (Faculty of Business and Economics, the University of Melbourne: On Demand Press, Southbank) .
   Google Scholar
• Pena , E. and Slate , E. H. 2006 . Global validation of linear model assumptions . Journal of The American Statistical Association , 101 : 341 – 354 . (Doi: 10.1198/0162145050000 00637.) doi: 10.1198/016214505000000637
   PubMed Web of Science ®Google Scholar
• Pena , E. A. and Slate , E. H. 2010 . gvlma: Global validation of linear models assumptions. (R package version 1.0.0.1) Retrieved from http://CRAN.R-project.org/package=gvlma
   Google Scholar
• Swann , G. I. 2004 . “ Online assessment and study ” . In Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference Edited by: Atkinson , R. , McBeath , C. , Jonas-Dwyer , D. and Phillips , R. 891 – 894 . Perth 5–8 December, http://www.ascilite.org.au/perth04/procs/swan.html
   Google Scholar