EXTRACTING CODE COMPLIANCE DATA FROM IFC WITH PYTHON LANGUAGE

Authors

  • Er. Narinder Singh, Harvinder Singh, Hardeep Singh Rai

Abstract

The study aimed to identify the barriers to the implementation of the e-learning system (Blackboard) among female students at the Community College at Imam Abdul Rahman bin Faisal University. To achieve the objectives of the study, the researcher adopted the descriptive approach.  The study sample which was chosen randomly consisted of (300) female students from the community college at Imam Abdul Rahman bin Faisal University. The researcher built the study tool “questionnaire” which covers four areas: Administrative barriers, technological barriers, financial (physical) barriers, and social barriers. The data was processed by the statistical method. The findings indicated that the areas of the barriers which faces the implementation of the blackboard system among female students at the community college at Imam Abdul Rahman bin Faisal University were as follows: Social barriers which ranked first and with a (high degree) followed by financial barriers (moderate degree), administrative barriers (moderate degree) and the technical barriers (low degree) and with the mean 2.60, 2.20, 2.13 and 1.37 respectively.  The study recommended promoting the technical aspect in the university through using the blackboard system and providing specialists and technicians with suitable training regarding the use of this system and holding educational sessions for students and community members to enhance the concept of e-learning.

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Published

2020-11-02

How to Cite

Er. Narinder Singh, Harvinder Singh, Hardeep Singh Rai. (2020). EXTRACTING CODE COMPLIANCE DATA FROM IFC WITH PYTHON LANGUAGE. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(9), 8827 - 8837. Retrieved from https://archives.palarch.nl/index.php/jae/article/view/5861