Effective Assessment System for Student Assignments in AI Research and Handwriting Work

Abstract

The use of AI in information tracking has been a determinant of learning success in college. AI makes it easy for students to access extensive and in-depth information quickly. Students also have the opportunity to explore different perspectives to discover the core of the subject they are studying. Through the use of the method of systematic literature review (SLR), it was found that AI is no longer just a tool but a research partner. Therefore, accurate follow-up is required for lecturers to evaluate the results of the students who make AI their team of work. One way of evaluation is to rewrite their findings on paper with handwriting. In conclusion, lecturers can position students’ work into four groups, namely: (a) Exemplary, (b) Proficient, (c) Developing, and (d) Needs Improvement. This grouping will make it easier for the lecturer to follow up on learning. In the future, colleges need clear regulations on how to use AI in learning.