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Renz, André; Hilbig, Romy – International Journal of Educational Technology in Higher Education, 2020
The ongoing datafication of our social reality has resulted in the emergence of new data-based business models. This development is also reflected in the education market. An increasing number of educational technology (EdTech) companies are entering the traditional education market with data-based teaching and learning solutions, and they are…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Data Collection
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König, Christoph; van de Schoot, Rens – Educational Review, 2018
The ability of a scientific discipline to build cumulative knowledge depends on its predominant method of data analysis. A steady accumulation of knowledge requires approaches which allow researchers to consider results from comparable prior research. Bayesian statistics is especially relevant for establishing a cumulative scientific discipline,…
Descriptors: Bayesian Statistics, Educational Research, Educational Practices, Data Analysis
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Dronkers, Jaap; van der Velden, Rolf; Dunne, Allison – European Educational Research Journal, 2012
The main research question of this article is concerned with the combined estimation of the effects of educational systems, school composition, track level, and country of origin on the educational achievement of 15-year-old migrant students. The authors focus specifically on the effects of socioeconomic and ethnic background on achievement scores…
Descriptors: Equal Education, Academic Achievement, Migrants, Educational Methods