Abstract
The main goal of this paper is to design a tool for the evaluation of academic website, taking into account perspectives of different user groups. A literature review was conducted on the existing models, and a list of the factors affecting the quality of academic websites was identified. A framework was developed based on the identified quality factors, to evaluate the new framework, a questionnaire was devised, and a survey was conducted on the reliability of this questionnaire. To assess the effectiveness of the framework, an experiment was conducted, considering six academic websites and 6300 people from different user groups. The threats encountered during the study were also discussed with recommendations for future work.
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Acknowledgements
We thank all the numerous participants who participated in evaluating the different websites, and thank those reviewers for suggesting changes to the questionnaires. No data was collected regarding the details of participants for website evaluations and all of the participants were anonymous.
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Vakkalanka, S., Prasadu, R., Sasank, V.V.S., Surekha, A. (2020). A Framework for Evaluating the Quality of Academic Websites. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_44
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