Abstract
This research aims to 1) Develop a common framework for artificial intelligence in higher education (AAI-HE model) and 2) Assess the AAI-HE model. The research process is divided into two stages: 1) Develop an AAI-HE model, and 2) Assessment the model. The sample consists of five experts chosen through purposive sampling. The data is analyzed by means and standardized deviations statistically. The research result shows that 1) the AAI-HE model consists of seven key components which are 1.1) User Interactive Components and Technology of AI, 1.2) Components and Technology of AI, 1.3) Roles for Artificial Intelligence in Education 1.4) Machine Learning and Deep Learning 1.5) DSS Modules 1.6) Applications of Artificial Intelligence in Education, and 1.7) AI to enhance campus efficiencies, and 2) The result of the assessment of the AAI-HE model is rated as absolutely appropriate overall.
Highlights
artificial intelligence (AI) is a concept developed by John McCarthy in 1955 to represent a computer that can execute a range of human cognitive skills such as speaking, thinking, learning, and problem-solving (Nilsson, 1998)
Reinventing assessment and methodologies could be essential when developing AI-driven websites. The result of these hurdles shouldn’t make us condemn AI; instead, it should drive the advancement of Human Computer Interactions. Progression on these topics would be beneficial for non-iterative approaches. 5.2 Components and Technology of AI 5.2.1 Data Management Subsystem 1) Database: the database gathers valuable information to satisfy the demands of the company and enables more people to access it, they are able to use it
The assessment result of the suitability of the composition of the AAI-HE model from five experts reveals that the suitability average level is absolutely appropriate
Summary
AI is a concept developed by John McCarthy in 1955 to represent a computer that can execute a range of human cognitive skills such as speaking, thinking, learning, and problem-solving (Nilsson, 1998). The growth of computing and information processing methods has expedited the development of artificial intelligence (AI), which attempts to allow computers to accomplish tasks by emulating intelligent human behaviors such as inference, analysis, and decision making (Duan, Edwards, & Dwivedi, 2019; Topol, 2019). AI technologies have been used to advance a wide variety of businesses in today’s society (Russell & Norvig, 2018). In this analysis, we restrict the definition of Artificial Intelligence to the educational context. An instructor-oriented tool can automate administrative processes, reviews, plagiarism detection, and feedback provision. These systems may aid instructors in keeping track of their student’s progress so that proactive intervention can be given. With improvements such as personalized ITS (Steenbergen-Hu & Cooper, 2014), support systems are becoming more sophisticated (Heffernan & Heffernan, 2014), and “Instructor bots,” AIEd has ies.ccsenet.org
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