Abstract
Learning today is different from traditional ways due to the development in Information Communication technology (ICT). The extensive Internet accessibility of personal computers, laptops, smart phones and tablets and numerous literature recovery applications have altered the education and the training surroundings in entire disciplines. Several teachers identify the essential to exploit the abilities of ICT to improve their learning packages. Clarifications on student’s aptitude with ICT are little, and are approved in countries where informatics is well established. Data collection is done through questionnaire from nearly 250 students who are exhausting computers for their theoretical purposes. This process is done by using the Apriori algorithm of Association Rule mining, Bayesian Classification algorithms and compared in Data mining using the WEKA tool. BayesNet Classification model provides the maximum accuracy of the students’ approach on Information Technology making them to select a job.
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Glory RatnaMary, D., Rosy Salomi Victoria, D. (2020). A Study on the Attitude of Students in Higher Education Towards Information Communication Technology. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_149
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DOI: https://doi.org/10.1007/978-3-030-32150-5_149
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