Abstract
For distance teaching, if the teacher can obtain the predicted scores that students may obtain in the final exam at this time, the students whose predicted scores do not meet the standard can be found. Teachers can strengthen the teaching of this type of students in the teaching process, which will greatly improve the overall teaching efficiency of teachers. The target of this research is the students of the course of the “Introduction to Computers Science” at Open University of Kaohsiung. This course is a distance teaching based on online teaching, and the questionnaire and final test are also completed on line. A total of 95 students filled out the questionnaire online, accounting for 77.24% of the electives. This study aims to assess the measurement of students’ pre-learning computer experience, software operation ability, learning motivation, and computer attitude, and analyze their relationship with the performance of subsequent distance teaching on the course of the “Introduction to Computers Science”, and find a multiple regression model to predict student performance. It was found that a multiple linear regression model combining 7 independent variables was statistically significantly related to the final test scores.
Highlights
The Open University of Kaohsiung (OUK) is an adult education university that provides lifelong learning
Teachers can strengthen the teaching of this type of students in the teaching process, which will greatly improve the overall teaching efficiency of teachers
This study aims to assess the measurement of students’ pre-learning computer experience, software operation ability, learning motivation, and computer attitude, and analyze their relationship with the performance of subsequent distance teaching on the course of the “Introduction to Computers Science”, and find a multiple regression model to predict student performance
Summary
The Open University of Kaohsiung (OUK) is an adult education university that provides lifelong learning. Students who take the course of the “Introduction to Computers Science” at OUK have different computer experience, motivation and basic background (age, education, social experience), and the course is online teaching, plus students are free to elective without age, education and grade restrictions, students’ computer knowledge background is very scattered (Kuo, 2020). In this course, the content of distance teaching is designed by teachers according to their own profession, and teachers have insufficient knowledge of students’ knowledge background and learning motivation. The research results are handed over to the curriculum planning decision-makers as a reference for planning advanced course, and hope to find a set of multivariate variables that are significantly related to the test scores, establish a prediction model, and help teachers predict the students’ learning achievements, as early as possible to strengthen the teaching of students with possible low grades
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
