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dc.contributor.authorKhakata, Esther Nyokabi
dc.contributor.authorMsanjila, Simon Samuel
dc.contributor.authorOmwenga, Vincent Oteke
dc.date.accessioned2017-07-22T10:48:17Z
dc.date.available2017-07-22T10:48:17Z
dc.date.issued2017
dc.identifier.citationKhakata, E. N., Msanjila, S. S., & Omwenga, V. O. (2017). Algorithmic prediction of internet technology utilization in learning. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.eduen_US
dc.identifier.urihttp://hdl.handle.net/11071/5192
dc.descriptionThe conference aimed at supporting and stimulating active productive research set to strengthen the technical foundations of engineers and scientists in the continent, through developing strong technical foundations and skills, leading to new small to medium enterprises within the African sub-continent. It also seeked to encourage the emergence of functionally skilled technocrats within the continent.en_US
dc.description.abstractInternet technology has been revolutionary over the years especially in the educational sector. However, the utility of internet technology in the learning process of a student in a higher learning institution has not been determined over the years. This has been due to the evolution that has taken place in education. This paper aims at helping in the development of an algorithmic model that will be used for the prediction of internet technology utilization in learning. Specifically, the research will focus on modelling the Cobb- Douglas production theorem to predict the learning output of a given student considering the utility of the internet technology, the infrastructural investment made by the institution of higher learning and the effort of the student. The results of this ongoing research will eventually be of great importance in helping institutions of higher learning determine their returns after investing in internet technology. The students will also be informed on how to use the internet technology in a better way in order to get the best out of the resource.en_US
dc.description.sponsorshipStrathmore University; Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectInternet technologyen_US
dc.subjectInternet utilizationen_US
dc.subjectCobb Douglas theoremen_US
dc.subjectPredictive modelsen_US
dc.subjectPrediction algorithmsen_US
dc.titleAlgorithmic prediction of internet technology utilization in learningen_US
dc.typeConference paperen_US


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