- Conference Session
- Biological & Agricultural Division Technical Session 1
- Collection
- 2018 ASEE Annual Conference & Exposition
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D. Raj Raman, Iowa State University; Amy L. Kaleita, Iowa State University
- Tagged Divisions
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Biological and Agricultural Engineering
desktop computer. We used low-cost (ca. 120USD) interactivetablets and styluses to enable annotation of the PowerPoint slides as we recorded each lecture orlecture segment. For programming- or spreadsheet-focused lectures, we used Microsoft Excel,VBA within Excel, MATLAB, or Simulink as appropriate, and could readily switch the videocapture between the programming environment and the relevant PowerPoints as needed. Ourpractice of splitting the lectures led to typical segment lengths of 5 – 15 minutes, and total videocontent per class period of 30 – 40 minutes.From a delivery standpoint, we initially used a flipped model in the Y3NM class. Lecture videoswere posted several days prior to class, and student were asked to watch the video(s) and often
- Conference Session
- Biological & Agricultural Division Technical Session 1
- Collection
- 2018 ASEE Annual Conference & Exposition
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Janie M. Moore, Texas A&M University
- Tagged Divisions
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Biological and Agricultural Engineering
specific knowledge areas across university BAE programs, to identify similarities anddifferences. Likewise, the ranked knowledge areas in Table 3 can be used to inform surveys ofpotential employers of BAE graduates.Table 3. List of specific knowledge areas ranked according to the frequency (Freq) of occurrencefor learning outcomes. Fre Learning Specific Knowledge Area Rank q Outcome 1 Fluid mechanics 9 b l r s u z ac ae al Heat and mass transfer (not mass balance), thermal props
- Conference Session
- Biological & Agricultural Division Technical Session 2
- Collection
- 2018 ASEE Annual Conference & Exposition
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Pradeep Kashinath Waychal, Western Michigan University; Pawan Ramchandra Galande
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Diversity
- Tagged Divisions
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Biological and Agricultural Engineering
Change, 2004. 52(3): p. 509- 542.2. Kumar, P. and S. Mittal, Agricultural productivity trends in India: Sustainability issues. Agricultural Economics Research Review, 2006. 19(2006).3. World-Bank. A report on Indian country summary of higher education. 2006; Available from: http://worldbank.org. .4. PATEL, D.J.I., Education System in India. Education, 2013. 2(2).5. Tinto, V., Leaving college: Rethinking the causes and cures of student attrition (second edition). 1994: ERIC.6. Lee, W.C. and H.M. Matusovich, A Model of Co-Curricular Support for Undergraduate Engineering Students. Journal of Engineering Education, 2016. 105(3): p. 406-430.7. Felder, R.M. and R. Brent, Teaching and learning STEM
- Conference Session
- Biological & Agricultural Division Technical Session 1
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- 2018 ASEE Annual Conference & Exposition
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Joel Peterson P.E., University of Wisconsin, River Falls; Matthew Francis Digman, University of Wisconsin, River Falls
- Tagged Divisions
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Biological and Agricultural Engineering
-regulate bymaintaining a common in-class schedule and suggested due dates.There are, however, several potential issues related to a flexible deadline approach. The first isthe planning fallacy, where learners underestimate the time it takes to complete a task [3]. Ifflexible deadlines are in place, students may not undertake the requisite self-regulating strategiesin order to complete the assignments. Another potential issue with relaxed deadlines is thetendency for students to mass (cram) their work in very few study episodes just before thetasks(s) are due. Citing several works, Fulton et al. [3] note that distribution of practice (i.e.,more frequent deadlines) results in better performance across a wide range of tasks.In our experience
- Conference Session
- Biological & Agricultural Division Technical Session 2
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- 2018 ASEE Annual Conference & Exposition
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Marybeth Lima, Louisiana State University; Nicholas Patrick Totaro, Louisiana State University
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Biological and Agricultural Engineering
engineering problem solving and design; engineering units;engineering report writing; oral report presentation; laboratory demonstration of biologicalengineering analysis.Students are able to take these courses in either order, though the vast majority takes BE 1250first. For a more in-depth look at the course sequence, consult Monroe et al. (2006) and Lima etal. (2001).ChangesDuring the past 25 years, a number of changes have occurred that have influenced thesecourses. These changes include an increase in student population and interest inbioengineering, ABET accreditation, and increasing collaboration among instructors. Each ofthese changes and the corresponding change in course(s) is discussed below.Changes in population and interests of
- Conference Session
- Biological & Agricultural Division Technical Session 2
- Collection
- 2018 ASEE Annual Conference & Exposition
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Nathan C. Rice, University of Nebraska, Lincoln ; Ashu Guru, University of Nebraska, Lincoln; Caprianna N. Keeler; Deepak R. Keshwani, University of Nebraska, Lincoln; Jennifer Keshwani, University of Nebraska, Lincoln
- Tagged Divisions
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Biological and Agricultural Engineering
formal and non-formal educational settings. His expertise includes systems thinking and design, op- erations research, statistical modeling, and simulation. He has taught several graduate and undergraduate courses in statistics, systems engineering, operations research, and business analytics. Dr. Guru has pre- viously served as the Director of Research Strategy at the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska - Lincoln. In addition to his academic experience, Dr. Guru is an expert in supercomputing; he has 10 years of experience in building and managing information technology solutions at University of Nebraska - Lincoln, Fermi National Lab, Talent Plus, and IBM.Ms
- Conference Session
- Biological & Agricultural Division Technical Session 2
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- 2018 ASEE Annual Conference & Exposition
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Shannon Banner, North Carolina State University; John J. Classen, North Carolina State University
- Tagged Divisions
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Biological and Agricultural Engineering
the source(s) of information related to their familiarity with the terms and conceptspresented in part 1 The post survey was separated into three parts; the first part was identical tothe pre survey (Post knowledge survey part 1). The second (Post knowledge survey part 2) askedthe students to identify, using a Likert scale, how well specific Moodle activities and additionalresources helped them to better understand the concepts and topics presented. The third (Postknowledge survey part 3) also asked the students, using a Likert scale, to identify how helpfulthe simulation (decision-making) game was in reinforcing specific concepts and topics but alsoincluded an open-ended question in which the students could provide any additional commentsor