System modelling: Exploring engineering students perceptions and learning outcomes

Author:

Amida Ademola1ORCID,Hung Woei2,Algarni Sameera3

Affiliation:

1. North Dakota State University Quentin Burdick Building, 150C Dept 4510, PO Box 6050 Fargo North Dakota 58108‐6050 USA

2. University of North Dakota Education Building Room 278, 231 Centennial Drive Stop 7189 Grand Forks North Dakota 58202‐7189 USA

3. University of North Dakota Education Building Room 200, 231 Centennial Dr Stop 7189 Grand Forks North Dakota 58202‐7189 USA

Abstract

AbstractThis study explored the students' perceptions and key learning outcomes with the use of system modelling (SM) instructional strategy. Specifically, the study sought to understand students' perceptions and experiences with the use of SM in enhancing their conceptual and application knowledge, as well as problem‐solving and system thinking skills. The study employed a qualitative inquiry approach to gain insight into engineering students' experiences. Data were collected using semi‐structured interviews and students' artefacts, including problem‐solving surveys and modelling diagrams. Overall, the findings indicated promising effects of the SM approach on students' learning outcomes. Seven major themes emerged from the interview data, including problem diagnosis, interconnection, linearity, external representation, wholeness, organized problem‐solving approach and systematic process. The problem‐solving inventory survey responses indicated that participants believed that the SM approach enhanced their problem‐solving skills. Furthermore, the model diagram analysis suggested that all participants showed moderate gain in system thinking skills after the SM strategy. This paper presents these findings and the pedagogical implications for engineering education.

Publisher

Wiley

Subject

Information Systems and Management,Strategy and Management,General Social Sciences

Reference77 articles.

1. Benchmarking engineering curricula with the CDIO syllabus;Bankel J.;International Journal of Engineering Education,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3