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Ruksana Banu; Preeti Shrivastava; Mohamed Salman – International Journal of Information and Learning Technology, 2024
Purpose: The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess…
Descriptors: Student Attitudes, Electronic Learning, College Students, Learning Management Systems
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
Chamizo-Gonzalez, Julian; Cano-Montero, Elisa Isabel; Urquia-Grande, Elena; Muñoz-Colomina, Clara Isabel – International Journal of Information and Learning Technology, 2015
Purpose: The purpose of this paper are twofold. First, to disclose whether accounting students who participate more in online activities proposed by the teacher achieve better learning outcomes. Second, to identify which virtual learning activities achieve improved outcomes. Design/methodology/approach: Data mining is a computer-based tool devoted…
Descriptors: Outcomes of Education, Accounting, Learning Analytics, Teaching Methods