Effect Analysis of Online and Offline Cognitive Internships Based on the Background of Engineering Education Accreditation

Xumei Zhang, Ruyuan Liu, Wei Yan, Yan Wang, Zhigang Jiang, Zhaohui Feng

Research output: Contribution to journalArticlepeer-review

Abstract

The Engineering Education Accreditation (EEA) has been adopted in colleges and universities worldwide. As a foundational component of practical teaching, cognitive internship is a focus of EEA, with the offline mode as the common teaching method, while the online mode has been increasingly used in recent years. To meet the requirements of EEA, the effects of the online and offline cognitive internships need to be analyzed and compared. Focusing on the demand, this paper proposes a comprehensive method combining the Goal Achievement Degree (GAD) and CIPP model. The majors of the School of Automotive Transport and Engineering at Wuhan University of Science and Technology (WUST), which include the fields of vehicle engineering, traffic engineering, traffic transport, and logistics engineering, are taken as the example to conduct this research. The main findings of this paper are as follows: (1) Compared with online cognitive internship, offline internship students have a stronger ability to enhance theoretical knowledge and perceive the environment. (2) Utilizing such an online teaching method could be helpful for cultivating students’ analytical skills. (3) From the students’ perspective, the lack of funding for teaching cognitive internships, both online and offline, is the most serious problem. (4) Students perceive that the online cognitive internship helps them to understand knowledge in class and determine career planning, but it does not provide the same effect on those as the offline cognitive internship.

Original languageEnglish
Article number2706
Number of pages12
JournalSustainability
Volume14
Issue number5
DOIs
Publication statusPublished - 25 Feb 2022

Bibliographical note

Funding Information:
This research was funded by the open fund of the Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering at Wuhan University of Science and Technology, Wuhan, China, grant number [MTMEOF2019B11]; The First Batch of 2018 Industry-University Collaborative Education Program of The Ministry of Education (201801287002); the Teaching Research Project of Wuhan University of Science and Technology: Research on the Construction of Higher Education Informatization Quality Evaluation System under the Concept of Internet plus [2017X048]; the Reform and Practice of ?1 + 1? Talent Cultivation Model for Transportation Majors in the Context of New Engineering (Project No. 2020366); and the Reconstruction and Practice of Interdisciplinary Curriculum System Driven by Human-Vehicle-Road Synergy in the Context of Smart Transportation (2020Z004).The authors would like to thank the students of the School of Automotive and Traffic Engineering at WUST, for their active participation in this research work.

Funding Information:
Funding: This research was funded by the open fund of the Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering at Wuhan University of Science and Technology, Wuhan, China, grant number [MTMEOF2019B11]; The First Batch of 2018 Industry-University Collaborative Education Program of The Ministry of Education (201801287002); the Teaching Research Project of Wuhan University of Science and Technology: Research on the Construction of Higher Education Informatization Quality Evaluation System under the Concept of Internet plus [2017X048]; the Reform and Practice of “1 + 1” Talent Cultivation Model for Transportation Majors in the Context of New Engineering (Project No. 2020366); and the Reconstruction and Practice of Interdisciplinary Curriculum System Driven by Human-Vehicle-Road Synergy in the Context of Smart Transportation (2020Z004).

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • CIPP-based evaluation model
  • Cognitive internship
  • Engineering education accreditation (EEA)
  • Goal achievement degree (GAD)

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