Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/70630
Title: A personalized summative model based on learner's effort
Author: Baneres, David  
Citation: Bañeres, D. (2017). "A personalized summative model based on learner's effort". International Journal of Emerging Technologies in Learning, 12(6), 4-21. ISSN 1863-0383. doi: 10.3991/ijet.v12i06.7165
Abstract: Nowadays, instructors apply a large variety of learning methodologies to help learners to achieve the learning outcomes and to assess the knowledge acquired across the course. Formative and summative assessment models are mainly applied in multiple combinations independently of the learning environment (on-site, online or blended). When we move to an adaptive learning, the adaption tends to be in the learning process (learning path, activities, educational resources) mainly related to formative models but little adaption can be found related to summative models and very restrictive. In the latter case, grade formulas depending on performed assessment activities are typically defined to provide a personalized learning process. In this paper, we introduce the basis of an innovative personalized summative model based on learner's preferences and effort. Although this model conceptually may allow passing a course without evaluating all learning outcomes, it is not far from conventional summative models where a certain grade is required to pass the course and the learner may not have acquired all the knowledge taught in the course. The paper introduces the model and it also analyses an opinion survey on instructors and learners.
Keywords: adaptive assessment
summative model
personalization
learner's preferences
student's effort
DOI: 10.3991/ijet.v12i06.7165
Document type: info:eu-repo/semantics/article
Issue Date: Jun-2017
Publication license: https://creativecommons.org/licenses/by-sa/2.0/  
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