Publications by authors named "Vitomir Kovanovic"
Article Synopsis
- - The text discusses the need for better communication on research ethics due to emerging technologies, highlighting that academic articles often fail to adequately express these ethical concerns.
- - It outlines a project that aims to create new editorial policies for how research ethics should be addressed in scholarly publications, especially in the context of learning and technology.
- - The findings reveal significant gaps in current journal policies, with over half lacking ethical statements and many papers not addressing ethical considerations, leading to the development of materials designed for cross-disciplinary application to improve research involving AI and emerging technologies.
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics.
Fernando Marmolejo-Ramos Mauricio Tejo Marek Brabec Jakub Kuzilek Srecko Joksimovic Vitomir Kovanovic
Wiley Interdiscip Rev Data Min Knowl Discov
October 2022
The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and relies mostly on unsupervised machine learning (ML) algorithms to make sense of such type of data. Generalized additive models for location, scale, and shape (GAMLSS) are a supervised statistical learning framework that allows modeling all the parameters of the distribution of the response variable with respect to the explanatory variables.
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