Innovative Practices in Education Systems Using Artificial Intelligence for Advanced Society
D C Vinutha, S Kavyashree, C. P. Vijay, G.T. Raju · 2022
The emerging use of Artificial Intelligence in education System is explored. The use of Artificial Intelligence reduces workloads by shortening the time spent for assignments grading, preparing lesson plans, and other paperwork. Currently the major issues are: Most teachers end up spending less time in direct instruction and engagement than in preparation, evaluation, and administrative duties and the activity composition of instructor working hours is listed below. • Instructions and Engagement • Material preparations • Assignments, tests, projects evaluations and feedback • Advising • Professional development • Administration Artificial Intelligence can change how students learn, who teaches them and how they acquire necessary skills, which are listed as follows. 1. Auto grading - Evaluation and feedback: When teachers understand what their students know, can do and want to learn, they can then prepare and adapt to necessary changes. Solutions: a. computer grading of multiple-choice questions. b. employing natural language processing. Some writing software can look at trends in writing across multiple essays to provide targeted feedback to students. c. Use of AI driven program for auto instant feedback in computer programming. 2 .Smart content: useful tool for better understanding 3. Create database: Free online learning videos (like YouTube) as learning materials. 4. Recorded lectures through zoom, Google meet and send links to students. 5. Auto Analysis on student's grade: for example, if more students make mistakes in a particular topic, instructor can spend more time in explaining it. 6. Free Intelligent tutoring We propose a system that considers the student's academic and behaviour characteristics. Data collected can help the faculty member to gain understanding about student's level of understanding and personality. Based on the collected information students are grouped into clusters using K-means clustering and suitable partner is selected for group activity using Irving's algorithm to enable active learning.