Open AccessThe Prediction of Internet Technology Utilization within Learning Environments
Author(s) -
Khakata Esther Nyokabi,
Msanjila Simon Samuel,
Vincent Oteke Omwenga
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206341
Subject(s) - the internet , institution , investment (military) , educational technology , computer science , process (computing) , higher education , educational institution , order (exchange) , production (economics) , resource (disambiguation) , knowledge management , business , marketing , world wide web , economics , mathematics education , political science , economic growth , mathematics , sociology , finance , social science , microeconomics , computer network , politics , law , operating system
Internet 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.