Analysis of Online Classroom Education on the Learning Patterns for College Students Using Human-Computer Interaction

Abstract

Nowadays, online classes are considered a growing technology among college students that significantly impact learning patterns. Some characteristics define a positive relationship, and to build strong student-teacher relationships. Therefore, this article proposes Description of Learning Patterns (DLP) to analyze online classes’ influence on different learning patterns. DLP discusses the student’s learning environment and their experience in the online classroom. In DLP, few students from undergraduate science courses are studied and assessed with multiple openended interview queries. DLP explores the opportunities presented by online education and focuses on the student’s experiences interpretation in the online classroom. The student feedback report is available to record and enhance the online learning platform for all institutions, teachers, and students. The primary focus of human-computer interaction (HCI) is problem-solving and new idea generation. Students in the HCI program learn to spot potential problems and then use that information to develop new products and services.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jingjing Wu

Jingjing Wu was born in Shangqiu, Henan, P.R China, in 1982. She received the Master's degree from Chonbuk National University, South Korea. Now, she works in School of Electronic and Information Engineering, Changshu Institute of Technology. Her research interest is mainly in Education Management.

Yixian Gu

Yixian Gu was born in Changshu, Jiangsu, China, in 1970. He received his Ph.D. in Economics from Chonbuk National University, South Korea. Now he is a professor in the Business school of Changshu Institute of Technology. His research interests include Trade Economics, Trade in Services, etc.