Call for Papers: Special Issue on Current Trends in Educational Data Science
In recent years, lots of works have been proposed by the community in the field of EDS, covering important trends such as deep learning applied to educational data, multimodal educational data fusion, predictive model generalization, interpretability and transferability, just to mention some. This special issue is precisely intended to collect some of the most important works recently conducted in the field of EDS, as long as they represent a major contribution to the present and future of this discipline.
Call for Papers: Replication Research in Higher Education and Instructional Technology
This special issue/series seeks high-quality manuscripts on replication studies. Articles may include, but are not limited to replication studies in higher education involving instructional technology. These replication studies should demonstrate a strong grounding in learning and instructional theory and rigorous educational research design, in addition to established guidelines and frameworks for designing the replication study.
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