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Download full textZareen Alamgir; Habiba Akram; Saira Karim; Aamir Wali – Informatics in Education, 2024
Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…
Descriptors: Data Analysis, Information Retrieval, Content Analysis, Information Technology
Costa, Laecio Araujo; Pereira Sanches, Leandro Manuel; Rocha Amorim, Ricardo José; Nascimento Salvador, Laís do; Santos Souza, Marlo Vieria dos – Informatics in Education, 2020
This paper presents a systematic literature review of the coordinated use of Learning Analytics and Computational Ontologies to support educators in the process of academic performance evaluation of students. The aim is to provide a general overview for researchers about the current state of this relationship between Learning Analytics and…
Descriptors: Academic Achievement, Learning Analytics, Distance Education, Electronic Learning
