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Information Technology Integration in Higher Education: A Novel Approach for Impact Assessment
Author(s) -
Abdulkareem Al-Alwani
Publication year - 2014
Publication title -
international journal of emerging technologies in learning (ijet)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v9i6.4036
Subject(s) - computer science , process (computing) , information system , information technology , information integration , system integration , knowledge management , engineering , data mining , electrical engineering , operating system
In the current technological world of Information services, academic systems are also in the process of adapting information technology solutions. Information systems vary for different applications and specifically in academia domain, a range of information systems are available for different institutions worldwide. Integration of e-learning can optimize implementation of computer-based and computer-assisted educational processes at all levels. Therefore it is imperative to assess and evaluate integration of these information systems because they have serious impact on e-learning processes. In this study an instrument survey is presented for evaluating integration of information technology systems and practices in an educational environment. Survey is constructed using descriptive questions related to information technology tools to assess qualitative impact and usage of such tools. Critical feedback, analysis and suggestions from 25 educationists played a pivotal role in finalizing proposed survey questionnaire. A subsequent test evaluation by teachers and students is also carried out to assess adequate utilization of information systems in Yanbu University College. The results showed that feedback using this survey can help in identifying technological gaps and facilitate effective integration of information technology in an educational environment. Survey instrument proposed in this research can greatly enhance integration of IT tools as it can identify shortcomings by collecting statistical data from feedback of both faculty and students. Solution to these problems is deterministic and can be easily implemented to optimize overall performance of e-learning systems

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