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Possibilities for Technology-enhanced Active Learning of Structural Steel Design
Author(s) -
Ryan Solonsky
Publication year - 2020
Publication title -
2018 asee annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--30878
Subject(s) - class (philosophy) , learning styles , comprehension , computer science , mathematics education , multimedia , active learning (machine learning) , flipped classroom , artificial intelligence , psychology , programming language
Students entering college settings are: increasingly computer literate, users of digital technologies, visually driven, and have been exposed to active learning styles in high schools. Notions of technology, visual learners, and engaging environments are directly and indirectly shaping how we are expected to teach. When students are asked their preferences in classroom learning, the author has noticed that responses vary with preferences for PowerPoint slides, chalkboard notes, projects, flipped classrooms and utilization of computer software. Based on these common and upcoming learning mechanisms, the author is experimenting with implementing different techniques in a structural steel design class offered to undergraduates. This course is a 4 year senior-level steel design type class that educates Architectural Engineering students specifically about the fundamentals and practicality of designing steel structures for gravity loading according to AISC. The test bed for this study looks into various techniques based on segmenting topics into different styles for teaching evaluation. The varied educational styles tested included: flipped classrooms with light board videos, real project discussions / decompositions with solstice pods displays, enhanced white boards with projected digital images, mini-team design charrettes on smartboards, and traditional chalk lecturing as a baseline. These techniques are being explored to deepen student comprehension of why and how building structural steel systems are the way they are. It was hypothesized that by developing active strategies coupled with technology will better that engage and heighten student-learning outcomes over more traditional methods. To evaluate the effectiveness of these methods, descriptive and statistical methods will be employed through pre-and post-surveys and interviews along with grade performance correlation.

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