predictors of academic achievement
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2021 ◽  
Vol 10 (1) ◽  
pp. 9-14
Author(s):  
Sulastri Sulastri ◽  
Yesi Lintang Priambang

The aims of this study were to determine: (1) the effect of academic involvement on academic achievement in online learning; and (2) the effect of digital readiness on academic achievement in online learning. The COVID-19 pandemic that occurred in Indonesia had an impact on the education sector. Learning that was previously done face-to-face in class must be replaced with online learning. This research is a quantitative research using multiple regression analysis using SPSS software with a sample of 80 respondents. The sampling technique used is simple random sampling. The results of this study conclude that academic engagement does not have a significant effect on academic achievement in online learning and digital readiness does not have a significant effect on academic achievement in online learning. Therefore, academic engagement and digital readiness are not predictors of academic achievement in online learning.


2021 ◽  
pp. 108705472110120
Author(s):  
Kelly D. Carrasco ◽  
Chi-Ching Chuang ◽  
Gail Tripp

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.


2021 ◽  
Author(s):  
Kelly Carrasco ◽  
Chi-Ching Chuang ◽  
Gail Tripp

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.


2021 ◽  
Author(s):  
Kelly Carrasco ◽  
Chi-Ching Chuang ◽  
Gail Tripp

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.


2021 ◽  
Vol 9 (2) ◽  
pp. 96-120
Author(s):  
Mikaël De Clercq ◽  
Benoît Galand ◽  
Virginie Hospel ◽  
Mariane Frenay

The transition to higher education has been extensively documented in the literature. In this line, many individual variables were identified as strong predictors of academic achievement. Yet, this literature suffers from one main limitation; contextual factors have often been left out of the investigation. The majority of studies have tested the impact of individual characteristics assuming that the effects are the same in different programs. However, differences between institutions or programs could result in specific learning contexts leading to different adjustment processes. As an attempt to overcome this limitation, the current study has investigated the impact of both individual and contextual factors on academic achievement through a multifactorial multilevel analysis. The analyses were carried out on 1,173 freshmen from 21 study programs. Results highlighted that 15% of variation in students’ achievement was found between programs. Aspects of curriculum organization that contributed to academic achievement were gender ratio, opportunities given for practice and class size. Besides, seven individual factors were also predictive of academic achievement in the multifactorial approach: past performance, socioeconomic status, self-efficacy beliefs, value, mastery goal structure, study time and paid job. Finally, significant random effects were identified for peer support, course value, attendance and external engagement (i.e. commitment in extra-academic activities). The implications and limitations of this study are discussed. By connecting individual and contextual predictors of academic achievement this study intends to endorse a frontline approach regarding the transition to higher education.


2021 ◽  
Vol 30 (1) ◽  
pp. 59-67
Author(s):  
Nuzhat Ahmad ◽  
Most Aeysha Sultana

The present study investigated the effect of metacognitive ability and selective attention on academic achievement; whether selective attention and metacognitive ability influence a student’s academic achievement and whether all these three variables vary across gender. Three hundred adolescents were selected conveniently and purposively among which 150 were females and another 150 were males. Participant’s metacognitive ability was measured by using a Bangla translated version of Metacognitive Skill Scale (MCT); and selective attention was measured by a Bangla version of the Stroop Color and Word Test (SCWT). Their academic achievement was assessed by their GPA in previous class examination. The results showed that all these variables were significantly correlated with each other. Metacognitive ability and selective attention were the strong predictors of academic achievement. Significant difference in selective attention was also found across gender where females outperformed males. But no significant difference between males and females was found for the metacognitive ability and academic achievement. Dhaka Univ. J. Biol. Sci. 30(1): 59-67, 2021 (January)


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