Abstract
This article reviews existing study habit measurement instruments and discusses their drawbacks, in the light of new evidence from neuroscience on the workings of the brain. It is suggested that in addition to traditional frequency based past behavioural measures, the predictive accuracy of study habit measurement instruments could be improved by including measures of habit strength that take into account behaviour automaticity and efficacy, such as the Self-Report Habit Index (SRHI) developed by [1]. The SRHI has shown high reliability and internal validity in a wide range of contexts and its applicability and validity in the context of learning and higher education as an enhancement to study habit measurement instruments is as yet to be tested.
| Original language | English |
|---|---|
| Title of host publication | Published in: Battista Rossi, Giovanni, Crenna, Francesco and Belotti, Vittorio, (eds.) Journal of Physics: Conference Series. Volume 459, no. 012022. IOP Publishing. 2013 Joint IMEKO (International Measurement Confederation) TC1-TC7-TC13 Symposium: Measurement Across Physical and Behavioural Sciences, 4-6 September 2013, Genoa, Italy |
| Editors | Giovanni Battista Rossi, Francesco Crenna, Vittorio Belotti |
| Publisher | IOP Publishing |
| Publication status | Published - Sept 2013 |
Bibliographical note
Note: Published in: Battista Rossi, Giovanni, Crenna, Francesco and Belotti, Vittorio, (eds.) Journal of Physics: Conference Series. Volume 459, no. 012022. IOP Publishing. 2013 Joint IMEKO (International Measurement Confederation) TC1-TC7-TC13 Symposium: Measurement Across Physical and Behavioural Sciences, 4-6 September 2013, Genoa, ItalyKeywords
- Applied mathematics
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Measuring study habits in higher education: the way forward?
Fitkov-Norris, E. & Yeghiazarian, A., Sept 2013.Research output: Contribution to conference › Paper › peer-review
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