Impact of Major Backgrounds on Student Learning Achievement: A Case Study for Java Programming Course

Author:

Zhu Xiaohui1ORCID,Yue Yong1ORCID,Chen Surong2

Affiliation:

1. School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China

2. School of Information Science and Technology, Nantong University, Nantong 226003, China

Abstract

Due to the rapidly increasing number of students at universities in recent years, universities may arrange students from different majors in the same class, which may bring several challenges in teaching and learning for students and teachers, such as poor class experience, less class discussion and more workload for teachers. In this paper, we investigate the learning achievements of students with different major backgrounds based on a large-size course of Introduction to Java Programming. Approaches of difficulty index, incrimination index, failure rate, median average mark, average mark and standard deviation are used to evaluate students’ learning achievements based on students’ coursework assignments, continuous assessment and the final exam. Results show that major backgrounds could significantly affect learning achievements even in the same teaching and learning environment. To achieve a better learning experience and performance, we finally divided the original module into two separate modules for students with different major backgrounds.

Publisher

MDPI AG

Subject

Public Administration,Developmental and Educational Psychology,Education,Computer Science Applications,Computer Science (miscellaneous),Physical Therapy, Sports Therapy and Rehabilitation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring Student Preference between AI-Powered ChatGPT and Human-Curated Stack Overflow in Resolving Programming Problems and Queries;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

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