Introductory Engineering Courses With Computational Thinking: The Impact of Educational Privilege and Engineering Major Entry Policy on Student Pathways

被引:0
作者
Diaz, Noemi V. Mendoza [1 ]
Trytten, Deborah A. [2 ]
Meier, Russ [3 ]
机构
[1] Texas A&M Univ, Dept Engn Technol & Ind Distribut, College Stn, TX 77843 USA
[2] Univ Oklahoma, Sch Comp Sci, Norman, OK 73019 USA
[3] Milwaukee Sch Engn, Dept Elect Engn & Comp Sci, Milwaukee, WI USA
来源
2022 IEEE FRONTIERS IN EDUCATION CONFERENCE, FIE | 2022年
关键词
diversity; computational thinking; first year curriculum; persistence; matriculation; DIVERSITY;
D O I
10.1109/FIE56618.2022.9962501
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research category paper examines the impact of computational thinking within first-year engineering courses on student pathways into engineering. Computational thinking and programming appear in many introductory engineering courses. Prior work found that early computational thinking development is critical to the formation of engineers. This qualitative research paper extends the research by documenting how pre-university privileges impact first-year student trajectories into engineering through a qualitative examination of student interviews from three institutions with different processes for matriculation into engineering majors. We identify the underlying assumptions of meritocracy that are concealing the role of educational privilege in selecting which engineering students will be allowed to join the field. We provide a suggestion for how institutions can include computational thinking in introductory engineering courses with less risk of furthering the marginalization of students with few academic privileges.
引用
收藏
页数:9
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