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Modeling the Contribution of Genetic Variation to Cognitive Gains Following Training with a Machine Learning Approach
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Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Development and Validation of a Localized Module in Science, Technology, Engineering and Mathematics Competencies for Food and Beverage Services Level II Trainees
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Balco, Gernie Bhabes M.; Uy, Sherwin P. – Online Submission, 2023
This Research and Development study developed and validated a localized Science, Technology, Engineering, and Mathematics (STEM) Competencies for Food and Beverage Services (FBS) level II trainees. Twenty-five (25) FBS NC II trainees from General Santos National School of Arts and Trades participated in the study; 72% were female, 28% were aged…
Descriptors: STEM Education, Competence, Research and Development, Food Service
Mentors Needed: Predictors of Self-Assessed Mentoring Competence in Agricultural Faculty
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Jonathan Orsini; Nicole L.P. Stedman – NACTA Journal, 2022
Despite an overwhelming amount of research in recent years on the importance of mentoring in higher education, little data exists on what factors predict faculty selfevaluations of mentoring competence in agricultural faculty. This is important because as research on mentoring has increased there has been a proliferation of different training…
Descriptors: Mentors, Agricultural Education, Faculty, Self Evaluation (Individuals)