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Major, Louis; Smørdal, Ole; Warwick, Paul; Rasmussen, Ingvill; Cook, Victoria; Vrikki, Maria – International Journal of Research & Method in Education, 2023
Analysing the interaction between classroom dialogue and digital technology is challenging. Studies in this area typically draw on methods developed for the analysis of spoken interactions. This article reports on a new approach for analysing the enacted affordances of digital technology in classroom dialogue. Using examples from cross-country…
Descriptors: Classroom Communication, Educational Technology, Interaction, Affordances
Healy, Anthony – International Journal of Research & Method in Education, 2023
I propose that the grounded types analytical method (GTAM) is a systematic and useful means of typology construction for qualitative studies. GTAM arose within European social sciences in response to a need to schematize qualitative typology and to explicate qualitative types more precisely. GTAM is applicable to a variety of qualitative…
Descriptors: School Choice, Classification, Suburban Schools, Foreign Countries
Cox, Deniese; Prestridge, Sarah; Hodge, Steven – International Journal of Research & Method in Education, 2023
Researchers who investigate value-laden professional practices face the challenge of creating a space in which to explore workplace priorities. Education professionals, for example, are keyed to the development and wellbeing of their students, yet frequently work in environments in which there are constraints on their practice. These professionals…
Descriptors: Reflection, Protocol Analysis, Classification, Online Courses
Möller, Annette; George, Ann Cathrice; Groß, Jürgen – International Journal of Research & Method in Education, 2023
Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…
Descriptors: Foreign Countries, Learning Analytics, Classification, Artificial Intelligence
Kulawiak, Pawel R.; Wilbert, Jürgen – International Journal of Research & Method in Education, 2020
Sociometrically neglected children are not often liked and not often disliked by their peers. This kind of social information is known as social status. Evidence concerning internalizing behaviour of neglected children is as yet equivocal. Contradictory research results could possibly be attributed to methodological issues of social status…
Descriptors: Peer Acceptance, Social Isolation, Social Status, Classification
Gomes, Cristiano Mauro Assis; Jelihovschi, Enio – International Journal of Research & Method in Education, 2020
Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Classification