Threshold Concepts Theory in Higher Education—Introductory Statistics Courses as an Example

The purpose of this research was to identify “threshold” concepts in introductory statistics courses by surveying engineering students. Threshold concepts are those ideas that bind a subject together and are fundamental to the thinking and practice within a discipline. In this exploratory study, the...

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Published inEducation sciences Vol. 12; no. 11; p. 748
Main Authors Beitelmal, Wesam H., Littlejohn, Ray, Okonkwo, Paul C., Hassan, Israr U., Barhoumi, El Manaa, Khozaei, Fatemeh, Hassan, Abbas M., Alkaaf, Khalid Ahmed
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2022
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Abstract The purpose of this research was to identify “threshold” concepts in introductory statistics courses by surveying engineering students. Threshold concepts are those ideas that bind a subject together and are fundamental to the thinking and practice within a discipline. In this exploratory study, the aim was to answer the following questions: What are the learners’ assessments of the proposed threshold concepts? Based on the learners’ assessments, which of the four threshold characteristics best describes the selected threshold concepts? What are the final proposed threshold concepts that incorporate the learners’ perspectives? What is the perception held by learners about the theory’s impact on the learning and teaching processes? Using qualitative and quantitative exploratory analysis to answer these questions, all students in the College of Engineering and Applied Science who took one of the 29 sections of the course Introductory Statistics offered at the University of Colorado at Boulder were surveyed. The findings reveal there are differences in threshold concepts identified by instructors and learners. The learners added 11 concepts to the 18 proposed by the instructors as threshold concepts. Based on these inputs, a list of potential threshold concepts incorporating the two perspectives—that of instructor and that of learner—was created, and a framework of knowledge to support curriculum design was developed. An important suggestion for future research is to explore how to incorporate these threshold concepts in redesigning the syllabi of such courses, depending on the proposed framework.
AbstractList The purpose of this research was to identify “threshold” concepts in introductory statistics courses by surveying engineering students. Threshold concepts are those ideas that bind a subject together and are fundamental to the thinking and practice within a discipline. In this exploratory study, the aim was to answer the following questions: What are the learners’ assessments of the proposed threshold concepts? Based on the learners’ assessments, which of the four threshold characteristics best describes the selected threshold concepts? What are the final proposed threshold concepts that incorporate the learners’ perspectives? What is the perception held by learners about the theory’s impact on the learning and teaching processes? Using qualitative and quantitative exploratory analysis to answer these questions, all students in the College of Engineering and Applied Science who took one of the 29 sections of the course Introductory Statistics offered at the University of Colorado at Boulder were surveyed. The findings reveal there are differences in threshold concepts identified by instructors and learners. The learners added 11 concepts to the 18 proposed by the instructors as threshold concepts. Based on these inputs, a list of potential threshold concepts incorporating the two perspectives—that of instructor and that of learner—was created, and a framework of knowledge to support curriculum design was developed. An important suggestion for future research is to explore how to incorporate these threshold concepts in redesigning the syllabi of such courses, depending on the proposed framework.
Author Alkaaf, Khalid Ahmed
Hassan, Israr U.
Hassan, Abbas M.
Beitelmal, Wesam H.
Littlejohn, Ray
Khozaei, Fatemeh
Okonkwo, Paul C.
Barhoumi, El Manaa
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Cites_doi 10.1080/0020739X.2015.1073802
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Computer science
Core curriculum
Course Descriptions
curriculum
education development
Engineering education
Higher education
Learner Engagement
Learning
Learning Processes
Mathematics
Pedagogy
Research methodology
Sample variance
Science Curriculum
Statistics
statistics courses
Students
survey
syllabi design
Teaching
Teaching Methods
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Title Threshold Concepts Theory in Higher Education—Introductory Statistics Courses as an Example
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