Multiple choice homework as a cost-effective and efficient tool for student self-training
G.L. Lippi

TL;DR
This paper proposes a cost-effective self-training scheme using multiple choice homework, incentivized by grade bonuses and computer grading, to improve student skills in fundamental sciences without extensive supervision.
Contribution
It introduces a novel, inexpensive self-training method combining computer-based grading and bonus incentives to enhance student learning in physics.
Findings
Effective improvement in student skills demonstrated
Reduced instructor workload achieved
Cheating risks mitigated through bonus and grading scheme
Abstract
A self-training scheme geared at inducing students to improve their skills through independent homework is presented. The motivation is to identify an inexpensive, yet effective tool for raising the competence level of students in the Fundamental Sciences (in particular Physics). Since globally existing financial restrictions do not allow for extensive supervised work, a scheme is devised where the additional personal training is rewarded through bonuses in the grade, while safeguarding against the danger of cheating. Overburdening the instructors is avoided through the use of computer-based grading of homework, while a carefully chosen bonus plan, weighted by the grades obtained in supervised tests, counters the effects of potential cheating.
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Taxonomy
TopicsExperimental Learning in Engineering · Innovative Teaching and Learning Methods · Innovations in Educational Methods
