2016 IEEE Frontiers in Education Conference (FIE) 2016
DOI: 10.1109/fie.2016.7757656
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A quantitative case study on students' strategy for using authorized cheat-sheets

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Cited by 5 publications
(5 citation statements)
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“…To start, forty authorized cheat-sheet references from a previous semester's engineering economy course were evaluated to identify the unique characteristics and features. Like many other studies [13][14][15][16][17], characteristics and features such as density and organization were readily apparent. In total, five characteristics were identified for use in the scoring criterion: (1) density; (2) organization; (3) readability; (4) number of formulas; and (5) number of examples.…”
Section: Reference Evaluationsupporting
confidence: 54%
“…To start, forty authorized cheat-sheet references from a previous semester's engineering economy course were evaluated to identify the unique characteristics and features. Like many other studies [13][14][15][16][17], characteristics and features such as density and organization were readily apparent. In total, five characteristics were identified for use in the scoring criterion: (1) density; (2) organization; (3) readability; (4) number of formulas; and (5) number of examples.…”
Section: Reference Evaluationsupporting
confidence: 54%
“…Producing authorised cheat sheets provides students with valuable opportunities to consolidate material in order to develop their own meaning. Restrictions on what can be included on these cheat sheets can further help students familiarise themselves with details of the material and has been found to be successful at both the undergraduate and graduate levels of science education (Song et al, 2016; Song & Thuente, 2015). Previous studies have also proposed the possible need to modify course examinations by adding more higher‐order questions so that students cannot rely on cheat sheets simply for the purpose of low‐level recall.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The codification of design knowledge requires special methodologies. There are already various approaches to codify design knowledge like knowledge maps [41], mind maps [41], conceptual maps [45], wikis [30], prototypes [42], design principles [36], cheat sheets [37], and design patterns [11]. To codify design knowledge, it is important to highlight the properties of their formulation [7].…”
Section: Socio-materiality Of Formulating Design Knowledgementioning
confidence: 99%