- Conference Session
- Modeling and Simulation
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
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Luis E Monterrubio, Robert Morris University
- Tagged Divisions
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Computers in Education
can be expressed as a linear combination of the eigenvectors{Ψ } y = {Ψ }Where the generalized coordinates are functions of time t and can be viewed as a coordinatetransformation [K][Ψ]{q} + [M][Ψ]{q̈ } = {F(x, t)}If the modes are mass normalized they can be used to uncouple the equations and solve for thedeflection of the beam using the equation below as defined in the work by Thomson6 [Ψ] [K][Ψ]{q} + [Ψ] [M][Ψ]{q̈ } = [Ψ] {F(x, t)}and because eigenvectors are orthogonal and mass normalized [K] = [Ψ] [K][Ψ] = diag[K , K , … , K ] [M] = [Ψ] [M][Ψ] = diag[M , M , … , M
- Conference Session
- Teaching and Advising Tools Using Computers and Smart Devices
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
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Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University
- Tagged Divisions
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Computers in Education
. Pareto Chart for Methodology 50 120% 46 C 45 99% 40 100% 100% u F 35 m r 80% 30 u e 75% q 25
- Conference Session
- Computers in Education Division Poster Session
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
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Joshua Levi Weese, Kansas State University; William H. Hsu, Kansas State University
- Tagged Topics
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Diversity
- Tagged Divisions
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Computers in Education
number of repeated markers known headers (question, > (𝒕𝒉𝒓𝒆𝒔𝒉 − 𝟑) 2 ques, q, pre, post) Table 1. Heuristics for identifying the header row.In order to identify the boundaries of the payload within the data, we first start by identifying theheader row of the payload. The header row consists of column names of the various columnsavailable in the assessment scores. These could be student particulars such as name, identifier, orgender, or the particular assessment information, such as grade, question number, or aggregatescore. Our model consists a series of heuristics that score rows and columns for identifyingwhich row contains column headers, and which rows contain
- Conference Session
- Best of Computers in Education Division
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
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Osman Yasar, The College at Brockport - SUNY; Peter Veronesi, The College at Brockport - SUNY; Jose Maliekal, The College at Brockport, SUNY; Leigh J Little, The College at Brockport - SUNY; Sounthone E Vattana, The College at Brockport - SUNY; Ibrahim H. Yeter, Texas Tech University
- Tagged Divisions
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Computers in Education