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Eva Expósito-Casas; Ana González-Benito; Esther López-Martín – International Journal for Educational and Vocational Guidance, 2024
The purpose of this work is to identify contextual variables that help to explain the occupational aspirations of Spanish 15-year-old students. This is done by performing a secondary analysis of the PISA2018 test. Data have been analysed using decision trees introducing the students' expected occupational status as a dependent variable (DV), and…
Descriptors: Occupational Aspiration, Secondary School Students, Foreign Countries, Self Concept
Addey, Camilla – Globalisation, Societies and Education, 2021
As the OECD and UNESCO increasingly work in the same geographical and thematic areas, this paper explores the interplay between the organizations in relation to the making of global learning metrics and the global monitoring of the Sustainable Development Goal 4. Although the organizations seek to cooperate, this paper shows how this is limited by…
Descriptors: International Organizations, Global Approach, Learning Analytics, Sustainable Development
Eichmann, Beate; Greiff, Samuel; Naumann, Johannes; Brandhuber, Liene; Goldhammer, Frank – Journal of Computer Assisted Learning, 2020
In this explorative study, we investigate how sequences of behaviour are related to success or failure in complex problem-solving (CPS). To this end, we analysed log data from two different tasks of the problem-solving assessment of the Programme for International Student Assessment 2012 study (n = 30,098 students). We first coded every…
Descriptors: Behavior Patterns, Difficulty Level, Problem Solving, Success
Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
Hong, Jeehye; Kim, Hyunjung; Hong, Hun-Gi – Asia-Pacific Science Education, 2022
This study explored science-related variables that have an impact on the prediction of science achievement groups by applying the educational data mining (EDM) method of the random forest analysis to extract factors associated with students categorized in three different achievement groups (high, moderate, and low) in the Korean data from the 2015…
Descriptors: Science Achievement, Prediction, Teaching Methods, Science Teachers
Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Educational Methodology, 2021
Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD)…
Descriptors: Data Analysis, Learning Analytics, Science Education, Scores

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