Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Teachers differ substantially in their instructional performance in the classroom. Thus, researchers and policymakers are interested in how these differences can be explained and how the instruction provided by low-performing teachers can be improved. Previous research has focused either on generic (cognitive ability and personality) or profession-specific (professional knowledge, beliefs, and motivation for teaching) teacher characteristics as predictors of instructional quality but their relative importance has not yet been tested.
Aims: Hardly any studies have combined central generic and profession-specific variables in ascertaining their relative importance for instructional quality. In the present study, we seek to close this research gap.
Samples: We investigated 209 German mathematics teachers and their 4,672 students attending grades 7-10 (13- to 16-year-old students).
Methods: Teacher characteristics (cognitive ability, personality, professional knowledge, beliefs about, and enthusiasm for teaching) were assessed using standardized tests and self-report measures. Instructional quality (learning support, classroom disruptions, and cognitive activation) was rated by the students.
Results: Using structural equation modelling, we found extraversion, enthusiasm for teaching, and pedagogical/psychological knowledge to be significant predictors of learning support (R = .31) and conscientiousness and enthusiasm for teaching to be significant predictors of classroom discipline (R = .21). We did not find significant predictors for cognitive activation.
Conclusions: Our results indicate the relative significance of generic and profession-specific teacher variables for instructional quality. Overall, a substantial amount of variance in instructional quality is explained by teacher characteristics.
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Source |
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http://dx.doi.org/10.1111/bjep.12256 | DOI Listing |
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