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Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Song, Juyeon; Gaspard, Hanna; Nagengast, Benjamin; Trautwein, Ulrich – Journal of Educational Psychology, 2020
Conscientiousness and interest are well-known predictors of academic effort and achievement. As hypothesized by the Conscientiousness × Interest Compensation (CONIC) model, conscientiousness and interest can (partly) compensate for each other, leading to (comparatively) high effort if either conscientiousness or interest is high. The present…
Descriptors: Personality Traits, Interests, Models, Prediction
Keller, Lena; Preckel, Franzis; Brunner, Martin – Journal of Educational Psychology, 2021
It is well-documented that academic achievement is associated with students' self-perceptions of their academic abilities, that is, their academic self-concepts. However, low-achieving students may apply self-protective strategies to maintain a favorable academic self-concept when evaluating their academic abilities. Consequently, the relation…
Descriptors: Correlation, Academic Achievement, High Achievement, Low Achievement
Harsch, Claudia; Rupp, Andre Alexander – Language Assessment Quarterly, 2011
The "Common European Framework of Reference" (CEFR; Council of Europe, 2001) provides a competency model that is increasingly used as a point of reference to compare language examinations. Nevertheless, aligning examinations to the CEFR proficiency levels remains a challenge. In this article, we propose a new, level-centered approach to…
Descriptors: Language Tests, Writing Tests, Test Construction, Test Items
Nagy, Gabriel; Trautwein, Ulrich; Ludtke, Oliver – Journal of Vocational Behavior, 2010
The cross-cultural generalizability of vocational interest structures has received significant attention in recent years. This article adds to this research in four respects. First, data from a context that has not previously been investigated (Germany) was analyzed. Second, students at different stages of their educational career were examined.…
Descriptors: Vocational Interests, Factor Analysis, Foreign Countries, Hypothesis Testing
Goetz, Thomas; Hall, Nathan C.; Frenzel, Anne C.; Pekrun, Reinhard – Learning and Instruction, 2006
The focus of the present study is on students' experiences of enjoyment, an emotion largely neglected in educational research. We present a model in which specific levels of generalization of the construct of enjoyment are differentiated. Based on their extent of generalization, these differentiated constructs of enjoyment are located in a…
Descriptors: Student Experience, Learning Strategies, Structural Equation Models, Correlation