Design of an Adaptive Learning System and Educational Data Mining

Li, Yong; Cercone, Nick

doi:10.1002/9781118998205.ch6

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…Note that, this model is compatible with any formative model to boost the instructional process. The motivation comes from online learning where there are virtual learning environments (VLE) that allow customization of the learning process, such as the interface presentation or the learning path [2][3] [4]. The grading system tends to be hardly specified by instructors and very constrained regarding how to calculate the grade of the learner.…”

Section: Introductionmentioning

confidence: 99%

A Personalized Summative Model based on Learner’s Effort

Bañeres

2017

Int. J. Emerg. Technol. Learn.

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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.

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Section: Introductionmentioning

confidence: 99%

A Personalized Summative Model based on Learner’s Effort

Bañeres

2017

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Design of an Adaptive Learning System and Educational Data Mining

Cited by 1 publication

References 31 publications

A Personalized Summative Model based on Learner’s Effort

A Personalized Summative Model based on Learner’s Effort

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