Strategy for Implementing Artificial Based Learning Models in Improving Learning Quality

Sintha Wahjusaputri(1), Bunyamin Bunyamin(2), Tashia Indah Nastiti(3), Evi Sopandi(4),


(1) Graduate School, University of Muhammadiyah Prof. Dr. Hamka
(2) Graduate School, University of Muhammadiyah Prof. Dr. Hamka
(3) Department of Informatics Engineering, Faculty of Engineering and Computer Science, Indraprasta PGRI University
(4) Research Center for Education, National Research and Innovation Agency (BRIN)

Abstract

This research seeks to develop and design solutions for artificial intelligence-based learning models to improve learning quality in higher education. The qualitative technique was used in this study, which was completed in three steps: data collection, analysis, and conclusion. To establish the best approach, this study employs validity testing and a SWOT analysis. this research resulting 10 strategies in the implementation of an Artificial intelligent based learning model, namely: Develop a curriculum in accordance with technological developments in Industry 4.0; Establish or establish a special technology development Lab in the field of artificial intelligence and other fields; Creating and using learning media based on bolted intelligence; Conduct regular evaluations by universities/faculties regarding the use or development of artificial intelligence technology; Conducting outreach regarding the importance of data privacy; Provide training for both students and lecturers on artificial intelligence; Provide socialization about entrepreneurship, especially in the field of artificial intelligence; Designing university regulations related to infrastructure to be able to support the development of artificial intelligence; Provide career and talent consulting assistance for students; provide socialization on professional ethics to students and lecturers.

Keywords

Artificial Intelligence; Higher Education; Learning Model; Learning Quality; Strategies

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