Mobile AI Analytics System for Improving Educator’s Awareness on Student’s Knowledge
Tharik Jakir Hussain1, Manjit Singh Sidhu2

1Tharik Jakir Hussain*, College of Computing and Informatics, University Tenaga Nasional, Kajang, Selangor, Malaysia.
2Manjit Singh Sidhu, Institute of Informatics and Computing in Energy, UNITEN, Kajang, Selangor, Malaysia.
Manuscript received on September 04, 2019. | Revised Manuscript received on September 22, 2019. | Manuscript published on October 30, 2019. | PP: 3470-3474 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2663109119/2019©BEIESP | DOI: 10.35940/ijeat.A2663.109119
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Abstract: 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.
Keywords: Analytics, Education, Android application, AI, Self Analysis, learning.