Open AccessMobile AI Analytics System for Improving Educator’s Awareness on Student’s Knowledge
Author(s) -
Tharik Jakir Hussain,
Manjit Singh Sidhu
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2663.109119
Subject(s) - big data , analytics , computer science , data science , learning analytics , business intelligence , subject matter , process (computing) , mobile device , test (biology) , subject matter expert , knowledge management , world wide web , artificial intelligence , data mining , psychology , expert system , curriculum , paleontology , pedagogy , biology , operating system
New technologies have provided educators to track and store student’s learning activities in the form of big data sets in online environments. Big data refers to the capability of storing large quantities of data over an extended period and down to particular transactions. Analytics also refers to the scientific process that examines data to formulate conclusions and to present paths to make decisions. In this paper we demonstrate a mobile artificial intelligence (AI) analytics system that acts as learning platform for the students and to introduce the current possibilities in incorporating AI and analytics within the mobile application that can analyze the user’s knowledge in a particular subject by providing a series of questions to the users to be answered. A validation test using pre and post test questionnaires and focus group discussion with student participation in using the mobile AI analytics system has facilitated in improving educator’s awareness on student’s knowledge of the subject matter.