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Characterizing Engineering Learners' Preferences for Active and Passive Learning Methods
Magana, Alejandra J. ; Vieira, Camilo ; Boutin, Mireille
IEEE transactions on education, 2018-02, Vol.61 (1), p.46-54
[Peer Reviewed Journal]
New York: IEEE
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Title:
Characterizing Engineering Learners' Preferences for Active and Passive Learning Methods
Author:
Magana, Alejandra J.
;
Vieira, Camilo
;
Boutin, Mireille
Subjects:
Active Learning
;
Blogs
;
College Faculty
;
Data analysis
;
Electrical engineering
;
Engineering Education
;
Engineering students
;
Graduate Students
;
Homework
;
Information technology
;
instructor-dependent learners
;
instructor-independent learners
;
Learning
;
Learning systems
;
Lecture Method
;
Peer Evaluation
;
peer reviews
;
Perception
;
Preferences
;
Public speaking
;
slectures
;
Student Attitudes
;
Student Surveys
;
Students
;
Teacher Student Relationship
;
Teaching Methods
;
Undergraduate Students
Is Part Of:
IEEE transactions on education, 2018-02, Vol.61 (1), p.46-54
Description:
This paper studies electrical engineering learners' preferences for learning methods with various degrees of activity. Less active learning methods such as homework and peer reviews are investigated, as well as a newly introduced very active (constructive) learning method called "slectures," and some others. The results suggest that graduate students' perception of the usefulness of the activity increases with its level of activity. For undergraduate students, an increased perception of the usefulness of the activity was observed for lightly active but structured learning methods. Group-based analysis focusing on two types of learners, defined as "instructor-dependent" and "instructor-independent" according to their perception of the usefulness of the classroom lectures, was also performed. The results suggest that instructor-independent learners may benefit more from active learning methods than instructor-dependent learners. For example, instructor-independent undergraduate learners were found to perceive the homework assignment as being more useful than the lectures. Such a preference was not seen in the average group data. In fact, no learning method was found to be perceived as more useful than the lectures, on average. Thus this paper illustrates the pertinence of group-based data analysis.
Publisher:
New York: IEEE
Language:
English
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