Proceedings of the 52nd ACM Technical Symposium on Computer Science Education 2021
DOI: 10.1145/3408877.3432556
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Cited by 20 publications
(4 citation statements)
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“…The exam itself is a unitary pedagogical artefact which demands complex design strategies, especially if aiming at assessment for and as learning (Yan and Boud, 2021). Recent experiences in diverse disciplinary areas like Law (Beca et al, 2019) and Computer Science (Rusak and Yan, 2021) bring evidence of higher education instructors' current worries concerning exam design. Following current approaches to assessment for learning and assessment as learning, an exam should present complex, contextualised, realistic, argumentative activities and tasks.…”
Section: Synchronous Self-assessment Within the Mmcapmentioning
confidence: 99%
“…The exam itself is a unitary pedagogical artefact which demands complex design strategies, especially if aiming at assessment for and as learning (Yan and Boud, 2021). Recent experiences in diverse disciplinary areas like Law (Beca et al, 2019) and Computer Science (Rusak and Yan, 2021) bring evidence of higher education instructors' current worries concerning exam design. Following current approaches to assessment for learning and assessment as learning, an exam should present complex, contextualised, realistic, argumentative activities and tasks.…”
Section: Synchronous Self-assessment Within the Mmcapmentioning
confidence: 99%
“…Fendler and Godbey proposed something similar for math questions [21]. Rusak and Yan [22] report on an approach to auto-generate unique exams for all students in a statistics course for computer scientists, based on changing numerical parameters. Fowler and Zilles [23] present an approach to making minor variations of programming tasks along several different dimensions: changing names of variables, changing names of functions, swapping order of parameters, adding or removing a function prototype, changing constant values, reversing polarity (e.g., asking to find the last rather than first, smallest rather than greatest), and change of data type.…”
Section: Related Workmentioning
confidence: 99%
“…Compared with the approaches presented in Rusak & Yan [22] and Fernández & Vicente [7], where numeric data vary among versions, but the exam skeleton is the same in all cases, the present study proposes a more flexible system in which the exam skeleton, numeric data, and even question sets can vary among versions. Although it was developed for the subject of linear circuits, its applicability to other subjects was considered.…”
Section: Introductionmentioning
confidence: 99%
“…A different approach for exam versioning is to use the same exam skeleton for all versions but randomly vary the numeric data between versions. Such an approach can be found in the proposals of Rusak and Yan [22], or Fernández and Vicente [7].…”
mentioning
confidence: 99%