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Findings and methodologies about student networks, learning, performance and academic achievement in higher education: A literature review on quantitative studies
K Vignery - Review of Education, 2021 - Wiley Online Library
University student networks are recognised to be linked with student performance. Yet, no
literature review seems to address student networks together with student learning or …
literature review seems to address student networks together with student learning or …
Coenrollment networks and their relationship to grades in undergraduate education
In this paper, we evaluate the complete undergraduate coenrollment network over a decade
of education at a large American public university. We provide descriptive properties of the …
of education at a large American public university. We provide descriptive properties of the …
Adaptive teaching learning sequence based on instructional design and evolutionary computation
Adaptive Teaching Learning Sequence requires the organization and sequencing of content
in a way that conveys its structure to learner. It should be learner-centered more flexible and …
in a way that conveys its structure to learner. It should be learner-centered more flexible and …
Learn from Your (Markov) Neighbour: Co-Enrollment, Assortativity, and Grade Prediction in Undergraduate Courses.
In this paper, we evaluate the complete undergraduate co-enrollment network over a
decade of education at a large American public university. We provide descriptive and …
decade of education at a large American public university. We provide descriptive and …
Modeling NAEP test-taking behavior using educational process analysis
Process Analysis is an emerging approach to discover meaningful knowledge from temporal
educational data. The study presented in this paper shows how we used Process Analysis …
educational data. The study presented in this paper shows how we used Process Analysis …
A survey of applications that use graph-based educational data mining
J Oliveira, R Alexandrino… - Brazilian Symposium on …, 2019 - milanesa.ime.usp.br
Resumo Graph-based Educational Data Mining can be used to analyze educational
scenarios that are best represented by complex networks. To manipulate these networks …
scenarios that are best represented by complex networks. To manipulate these networks …
A novel approach for smart curriculum sequencing based on HSA evolutionary computation
In this paper, an evolutionary algorithm is applied to tackle Intelligent Curriculum
Sequencing issue. The purpose is to align educational technology, for instance, curriculum …
Sequencing issue. The purpose is to align educational technology, for instance, curriculum …