Past academic achievement contributes to university students' autonomous motivation (AM) which is later moderated by implicit motivation and working memory: A Bayesian replication of the explicit-implicit model of AM

Academic achievement has been linked to executive functions. However, it is necessary to clarify the different predictive role that executive functions have on general and specific academic achievement and to determine the most predictive executive factor of this academic achievement. The relationship and predictive role between executive functions and their components (initiative, working memory, task monitoring, organization of materials, flexibility, emotional control, inhibition, self-monitoring) with academic achievement are analyzed in this study, both globally and specifically in the areas of Language Arts and Mathematics, in 133 students from 6 to 9 years of age. The relationship obtained in Pearson’s correlation analysis does not differ substantially between overall achievement (r = 0.392) and specific achievement (r = 0.361, r = 0.361), but task monitoring (r = 0.531, r = 0.455, r = 0.446) and working memory (r = 0.512, r = 0.475, r = 0.505) had a greater relationship with general and specific achievement. Finally, regression analyses based on correlation results indicate that executive functions predict general academic performance (14.7%) and specific performance (12.3%, 12.2%) for Language Arts and Mathematics, respectively. Furthermore, working memory and task supervision represent 32.5% of general academic performance, 25.5% of performance in Language Arts, and 27.1% of performance in Mathematics. In conclusion, this study yielded exploratory data on the possible executive functions (task supervision and working memory) responsible for good general academic achievements and specific academic achievements in Mathematics and Language Arts.

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Shared Predictors of Academic Achievement in Children with ADHD: A Multi-Sample Study

Journal of Attention Disorders ◽

10.1177/10870547211012039 ◽

2021 ◽

pp. 108705472110120

Author(s):

Kelly D. Carrasco ◽

Chi-Ching Chuang ◽

Gail Tripp

Keyword(s):

Academic Achievement ◽

Working Memory ◽

Word Reading ◽

Spatial Working Memory ◽

Verbal Working Memory ◽

The United States ◽

Children With Adhd ◽

Visual Spatial ◽

Visual Spatial Working Memory ◽

Predictors Of Academic Achievement

Objective: To identify common and shared predictors of academic achievement across samples of children with ADHD. Method: Two clinically referred samples from New Zealand (1 n = 88, 82% boys; 2 n = 121, 79% boys) and two community samples from the United States (3 n = 111, 65% boys; 4 n = 114, 69% boys), completed similar diagnostic, cognitive and academic assessments. Hierarchical multiple regression analyses identified significant predictors of word reading, spelling, and math computation performance in each sample. Results: Entered after IQ, semantic language, age at testing, and verbal working memory emerged as consistent predictors of achievement across academic subjects and samples. Visual-spatial working memory contributed to variance in math performance only. Symptom severity explained limited variance. Conclusions: We recommend evaluations of children with ADHD incorporate assessments of working memory and language skills. Classroom/academic interventions should accommodate reduced working memory and address any identified language weaknesses.

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The Mediating Role of Engagement on the Achievement and Quality of Life of University Students

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18126586 ◽

2021 ◽

Vol 18 (12) ◽

pp. 6586

Author(s):

Inmaculada García-Martínez ◽

José María Augusto Landa ◽

Samuel P. León

Keyword(s):

Quality Of Life ◽

Academic Achievement ◽

Life Satisfaction ◽

Emotional Intelligence ◽

Academic Performance ◽

University Students ◽

Mediational Role ◽

The Relationship

(1) Background: Academic engagement has been reported in the literature as an important factor in the academic achievement of university students. Other factors such as emotional intelligence (EI) and resilience have also been related to students’ performance and quality of life. The present study has two clearly delimited and interrelated objectives. First, to study the mediational role that engagement plays in the relationship between EI and resilience on quality of life. Secondly, and similarly, to study the mediational role of engagement in the relationship between EI and resilience, but in this case on academic achievement. (2) Methods: For this purpose, four scales frequently used in the literature to measure emotional intelligence, resilience, academic engagement and quality of life were administered to 427 students of the University of Jaén undertaking education degrees. In addition, students were asked to indicate their current average mark as a measure of academic performance. Two mediational models based on structural equations were proposed to analyse the relationships between the proposed variables. (3) Results: The results obtained showed that emotional intelligence and resilience directly predicted students’ life satisfaction, but this direct relationship did not result in academic performance. In addition, and assuming a finding not found so far, engagement was shown to exert an indirect mediational role for both life satisfaction and academic performance of students. (4) Conclusions: The findings of the study support the importance of engagement in the design and development of instructional processes, as well as in the implementation of any initiative.

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