DocumentCode
713519
Title
Thinking, Pairing, and Sharing to Improve Learning and Engagement in a Data Structures and Algorithms (DSA) Class
Author
Reddy, Patil Deepti ; Mishra, Shitanshu ; Ramakrishnan, Ganesh ; Murthy, Sahana
Author_Institution
IDP in Educ. Technol., Indian Inst. of Technol. Bombay, Mumbai, India
fYear
2015
fDate
9-12 April 2015
Firstpage
144
Lastpage
151
Abstract
Literature has evidence showing that the active learning strategies used in classroom increase students´ conceptual understanding well beyond the traditional classroom teaching. Active learning strategies become even more useful for teaching-learning of courses such as ´Data Structures and Algorithms´, as such courses require to create time and space efficient algorithms using appropriate data structures to solve any ill-structured problem. Think-Pair-Share (TPS) is a classroom active learning strategy in which students work on individual activity, discuss with peers and share their newly discovered knowledge with class. In this paper, TPS is used with a goal to study its effectiveness on conceptual understanding and students´ engagement in Data Structures and Algorithms course of second year engineering undergraduate. The field study was conducted using mixed-methods research design to study the effectiveness of TPS intervention. Pre-post test scores, observation protocol and student and instructor perception is used to measure the conceptual understanding, engagement and motivation respectively. The results show significantly high level of engagement during TPS activities as compared to traditional lectures. The posttest and pretest scores show that the learning gain is higher for the topics taught using TPS as compared to the topics taught without TPS. The qualitative data obtained from students and the instructor show desirable positive effect of TPS in affective, behavioral and cognitive dimensions on students.
Keywords
computer science education; data structures; educational courses; research and development; teaching; DSA; TPS; classroom active learning strategy; cognitive dimensions; conceptual understanding; data structures and algorithms class; mixed-methods research design; pre-post test scores; second year engineering undergraduate; think-pair-share; traditional classroom teaching; Algorithm design and analysis; Data structures; Education; Games; Interviews; Programming; Protocols; Active learning; Conceptual Understanding; Data Structure and Algorithm; Student Engagement; Think-Pair-Share;
fLanguage
English
Publisher
ieee
Conference_Titel
Learning and Teaching in Computing and Engineering (LaTiCE), 2015 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/LaTiCE.2015.41
Filename
7126248
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