Book Review: CAIMI: Children's Academic Intrinsic Motivation Inventory

1997 ◽  
Vol 15 (2) ◽  
pp. 161-181
Author(s):  
Robert L. Williams
2008 ◽  
Author(s):  
Barry H. Schneider ◽  
Giovanna Tomada ◽  
Sébastien Normand ◽  
Eloisa Tonci ◽  
Piero de Domini

2016 ◽  
Vol 6 (2) ◽  
pp. 119 ◽  
Author(s):  
Ibrahim Ragab Abbas Ibrahim ◽  
Weal Ameen AL-Ali

<p>The research tackled the academic intrinsic motivation and its relationship with the emotional intelligence with a sample of the academic overachievers and underachievers of Najran University. The study population consisted of the students of Najran University who are enrolled in the University academic year 2015/2016, during the first semester in the various colleges. The study sample consisted of (423) male and female students; and the study instruments included the emotional IQ which consisted of (54) items, and the academic intrinsic motivation questionnaire, which consisted of (36) items, to identify the overall emotional intelligence degree and the motivation with the students. The results showed that the academic intrinsic motivation and emotional intelligence degrees were high with the university students. Furthermore, the results showed a direct correlational, statistically significant relationship between the academic intrinsic motivation and the emotional intelligence; and there are statistically significant differences between the motivation and emotional intelligence among the academically outstanding and non-outstanding students.</p>


2012 ◽  
Author(s):  
J. R. van Seters ◽  
M. A. Ossevoort ◽  
J. Tramper ◽  
M. J. Goedhart

2018 ◽  
Vol 52 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Johny R. Daniel ◽  
North Cooc

Students who report high levels of intrinsic motivation (IM) perform better on academic tasks compared with students who report low levels of IM. However, there is a paucity of data on IM for several disability categories (e.g., intellectual disability). The focus of this study was to use a nationally representative sample of students with disabilities to understand whether teachers’ perceptions of students’ academic IM varied by disability categories. Correlation and regression models were used to determine factors that influenced teachers’ perceptions of academic IM for students with disabilities. Controlling for external factors, such as parental expectation of their child’s academic career and teachers’ pedagogical competence, attenuated gaps in teacher perception of student IM between students with intellectual disability and learning disability. Including student classroom collaboration variables such as frequency of participation in peer work and classroom discussion to the model reduced disparities in teacher-perceived academic IM between students with autism and learning disabilities.


2017 ◽  
Vol 5 (2) ◽  
pp. 207-226 ◽  
Author(s):  
Kirk F. Grand ◽  
Marcos Daou ◽  
Keith R. Lohse ◽  
Matthew W. Miller

The present study investigated whether motivation and augmented feedback processing explain the effect of an incidental choice on motor learning, and examined whether motivation and feedback processing generally predict learning. Accordingly, participants were assigned to one of two groups, choice or yoked, then asked to practice a nondominant arm beanbag toss. The choice group was allowed to choose the color of the beanbag with which they made the toss, whereas the yoked group was not. Motor learning was determined by delayed-posttest accuracy and precision. Motivation and augmented feedback processing were indexed via the Intrinsic Motivation Inventory and electroencephalography, respectively. We predicted the choice group would exhibit greater motor learning, motivation, and augmented feedback processing, and that the latter two variables would predict learning. Results showed that an incidental choice failed to enhance motor learning, motivation, or augmented feedback processing. In addition, neither motivation nor augmented feedback processing predicted motor learning. However, motivation and augmented feedback processing were correlated, with both factors predicting changes in practice performance. Thus, results suggest the effect of incidental choices on motor learning may be tenuous, and indicate motivation and augmented feedback processing may be more closely linked to changes in practice performance than motor learning.


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