Designing a Model for Cognitive Ability Assessment of Faculty Members in Tehran Province Universities

Document Type : Research Paper

Authors

1 PhD student in Higher Education Management, Islamic Azad University, Roodehen Branch

2 Faculty of Islamic Azad University of Roodehen

Abstract

Cognitive assessment is one of the most important topics in cognitive science. In most cognitive competency assessment models, cognitive components play an essential role in evaluating faculty members. This study aimed to design a local model for cognitive faculty assessment in faculty at Tehran province universities. The research method is a combination of exploratory types. The qualitative research method included qualitative case study and potential participants including faculty members. The sampling approach is targeted. Data collection continued until theoretical saturation. The research tool is a semi-structured interview. And content analysis in this section, cognitive competency assessment topics including 11 cognitive categories (decision making, emotional cognitive regulation, cognitive inhibition control, social cognition, cognitive creativity, attention, problem solving, metacognition, verbal skills, cognitive flexibility, working memory) on cognitive ability assessment Discovered. In the quantitative part, the research method was descriptive-survey and the statistical population in the quantitative part included faculty members of Tehran universities (national and free) who were selected using cluster sampling of 350 people. The instrument used in the quantitative section was the researcher-made questionnaire based on the network of themes of the qualitative section. Quantitative part analysis was performed by confirmatory factor analysis to determine the validity of the model. The results of the quantitative section using factor analysis technique showed that the assessment of the cognitive ability of faculty members has a structural validity.

Keywords

References

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Journal of higher education curriculum studies
Volume 11, Issue 21 - Serial Number 2
September 2020
Pages 291-323

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