The Development Of A Formal Research Study On Correlating Student Attendance With Student Success
Author(s) -
Donald Richter,
William Loendorf,
Jason Durfee,
Terence Geyer
Publication year - 2020
Publication title -
2009 annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--5099
Subject(s) - attendance , class (philosophy) , mathematics education , test (biology) , medical education , computer science , engineering education , psychology , work (physics) , engineering , engineering management , artificial intelligence , medicine , paleontology , economics , biology , economic growth , mechanical engineering
It is generally accepted that today's engineering technology students are very different from the students of 20 years ago. They are of the "digital age" and are assumed to have different learning styles than the traditional students of generations before, although one might suggest that the teaching methods of the past did not work well even for earlier generations. One of the long established tenets of teaching is that attendance in class leads to student success. A research study is being initiated to examine if this correlation currently exists and if so to what extent. This paper describes the formulation, methodology and design of this study to formally test the relationship of attendance with student success. This is the start of a formal five year research study to determine the impact of attendance in class, whether attendance has a correlation with student success, and does this correlation change during the progression of a student throughout their undergraduate experience. The study will involve students from Mechanical Engineering Technology, Computer Engineering Technology, Manufacturing Technology, Construction Management, and a service course to the general student body. Data will be derived from four different instructors who will teach approximately 20 classes per year ranging from freshman to senior students. One of the objectives of the study is to track an individual student over their entire undergraduate education. The study will also determine if this correlation changes as the student progresses.
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