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Improving Student Learning through Classroom Engagement

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Conference

2020 ASEE Virtual Annual Conference Content Access

Location

Virtual On line

Publication Date

June 22, 2020

Start Date

June 22, 2020

End Date

June 26, 2021

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Tagged Division

Computers in Education

Page Count

15

DOI

10.18260/1-2--34798

Permanent URL

https://peer.asee.org/34798

Download Count

83

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Paper Authors

biography

Eddie Davis SUNY Farmingdale

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Eddie is an Assistant Professor in the Security Systems and Law Enforcement Technology Department in the School of Engineering Technology at Farmingdale State College. Prior to being appointed as a full time faculty member in 2016, Eddie worked as an Adjunct Professor at Farmingdale since 2004. From 1983 to 2011, Eddie also worked at Verizon Communications where he held several positions at Verizon Information Technology including Project Manager, Technical Manager and Senior Member of Technical Staff.

Eddie earned a Doctor of Professional Studies degree at PACE University in 2010; an MS in Telecommunications and Computing Management at NYU Polytechnic University; and a BS in Business Management and Economics at SUNY’s Empire State College. Eddie’s research areas of interest are measuring the success and accuracy of Network Security, Intrusion Detection systems and Cyber Security implementations

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Abstract

Improving Student Learning through Classroom Engagement:

Criminal Justice Database introduces students to Database Operations which is often taught in Computer Science curriculums. Due to the technical nature of the course material, some students can be overwhelmed. Based on the results from Student Evaluations of the course in the Fall Semester 2017, 81% of students who responded strongly agreed that the Instructor encouraged student participation. In the Fall Semester of 2016, 78% of students in one section strongly agreed and in another section, 84% strongly agreed. While these results are favorable, it was evident that some students were reluctant to respond to questions asked in class and it is hard to tell whether it was due to fear of failure or some other force. There has been research related to integrating technology into the pedagogy of difficult subjects like Integral Calculus. (International Journal of Mathematical Education in Science & Technology. Dec2016, Vol. 47 Issue 8, p1261-1279. 19p.) Other research gathered student’s opinions about the implementation of Classroom Response Systems in university lectures. (Procedia - Social and Behavioral Sciences Volume 228), 20 July 2016, Pages 183-189. The findings of the Procedia research showed that students gave an overall positive evaluation of the Classroom Response System (CRS). It also identified CRS’s as enhancers of attention, participation, classroom dynamics, and learning. The success of the Classroom Response Technology (CRT) implementation is assessed by both Qualitative and Quantitative methods. The Qualitative methods uses data from the Student Surveys that are taken at the end of each semester. The Existing Survey has a question that asks about whether or not the Instructor encouraged student participation. Prior to the implementation, the results from the surveys taken indicated that on average, about 80% of students strongly agreed. The expectation is that this metric should increase after the CRT implementation. Additional questions could also be added to the existing survey to gather additional qualitative data. Quantitative analysis was conducted based on the average student grade results before and after the implementation. If the CRT has the expected impact, the average results will improve over time. The scholarly work completed during the summer of 2019 involved researching some of the secondary objectives identified during Phase I which was implemented during the Fall Semester of 2018.

The Phase II implementation was completed during the Spring Semester of 2019. During the summer of 2019, the Phase II results were analyzed and documented. In Phase II, there was a continued emphasis on using Top Hat to allow all students to answer every preplanned question asked during a classroom lecture. The Lecture room used for Phase II was much larger and there were no computers so students had the option of using either their own laptop or smartphones in order to participate. Top Hat was also used as a mechanized way to take attendance in class. A comparison of the manual attendance process that is normally used was made to the automated processes available in Top Hat.

Davis, E. (2020, June), Improving Student Learning through Classroom Engagement Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34798

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