%0 Journal Article
%T Integration of Expert Systems in Mobile Learning
%A Nana Yaw Asabere
%A Samuel Edusah Enguah
%J International Journal of Information and Communication Technology Research
%D 2012
%I IRPN Publishers
%X Sequel to advances and proliferations in Information and Communication Technologies (ICTs), Education Modes have changed from Traditional Face-to-Face (F2F) to different types such as Distance Learning, Electronic Learning (E-Learning) and Mobile Learning (M-Learning). This impact of ICT on education has resulted in technological usage in education. Desktop computers are used in E-Learning while portable enabled-Wi-Fi devices such as Personal Digital Assistant (PDAs), Mobile Phones and Smartphones are used in M-Learning which allows learning/education to take place anywhere and anytime provided there is wireless network coverage in that particular area. Polytechnic Education in Ghana is practically-oriented and requires the influence of ICT due to large student numbers and reduced teacher to student ratio. The main objective of this paper is to analyze through a design-based research, the influence of M-Learning in Polytechnic Education in Ghana and how an Artificial Intelligence (AI) Expert System can be integrated in M-Learning to improve the productivity of a course entitled Computer Literacy 1 (CLT 101), which is a mandatory course for all admitted first year students of Ghanaian Polytechnics. After the research analysis, we proposed an expert system integrated in mobile learning to enhance teaching and learning of CLT 101 in Accra Polytechnic, Ghana. This study is in two folds. The first fold involves enhancing the mode of education and pedagogy in Accra Polytechnic through mobile learning and the second fold involves using the expert system to motivate and help students understand the course contents better and solve course problems with ease.
%K Mobile Learning
%K CLT 101
%K Polytechnic Education
%K Expert Systems
%K Pedagogy
%K Cloud Computing
%K ICT
%K mLMS
%U http://esjournals.org/journaloftechnology/archive/vol2no1/vol2no1_8.pdf