Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

focus on how the data was obtained and prepared, how the different algorithmswere utilized, how the algorithms performed in the classification tests, what the results indicateabout our implementation of MEAs and how the results will be informing the next stages of theresearch project.Introduction    Peer  review  is  a  cornerstone  of  the  modern  scientific  process.    It  is  meant  to  act  as  a  gateway,  allowing  good  research  through,  while  filtering  out  junk  science;  to  separate  the  wheat  from  the  proverbial  chaff.    Yet  many  scientists,  academics,  and  even  the  US  Supreme  Court  agree  that  peer  review,  while  essential  to  the  scientific  process,  is  far  from  a  perfect  system1.  The  problem

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Michael G. Morrow, University of Wisconsin, Madison

Tagged Divisions

Computers in Education

participating in their learning process—not simply observing what their Page 24.574.3neighbors are doing and copying answers. This means that the exercises cannot be identical foreach student, but should be similar enough to encourage collaboration and peer teaching.Both of the above issues were addressed by the integration of technology. The Moodle coursemanagement system was used to deliver active learning exercises, provide automated assessmentof student responses and immediate feedback, and allow easy faculty access to class performancedata. Rather than simply being a delivery mechanism, Moodle became the focal point of courseactivities. The course

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rachel M. White, Oregon State University; Bill Jay Brooks, Oregon State University; Debra M. Gilbuena, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

. Page 24.1387.2The AIChE Concept Warehouse was designed to lower one of the biggest barriers that preventsinstructors from using concept-based instruction: access to high quality conceptquestions. Construction of good concept questions is often difficult and time-intensive4. TheConcept Warehouse alleviates this barrier by giving instructors access to a variety of conceptquestions in the core chemical engineering curriculum along with providing a variety of ways toutilize these questions in their courses. Instructors can either assign these questions as homeworkor use them in class as part of active learning pedagogies (e.g. peer instruction). If using conceptquestions in class, the instructor can have students respond using their clickers

Conference Session

Best of Computers in Education Division

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mark Urban-Lurain, Michigan State University; Melanie M. Cooper, Michigan State University; Kevin C. Haudek, Michigan State University; Jennifer Julia Kaplan, University of Georgia, Department of Statistics; Jennifer K. Knight, University of Colorado, Boulder; Paula P. Lemons, University of Georgia; Carl T. Lira, Michigan State University; John E. Merrill, Michigan State University, Biological Sciences Program; Ross Nehm, Stony Brook University; Luanna B. Prevost, University of South Florida; Michelle Kathleen Smith; Maryanne Sydlik, Western Michigan University

Tagged Divisions

Computers in Education

received a number of awards including the ACS Award for Achievement in Research on Teaching and Learning 2014, the Norris award for Outstanding Achievement in teaching of chemistry in 2013, and the 2010-2011 Outstanding Undergraduate Science Teacher Award from the Society for College Science Teaching.Dr. Kevin C Haudek, Michigan State University Kevin Haudek is a Research Specialist in the Center for Engineering Education Research at Michigan State University. He is a member of the AACR research group. His research interests are in student understanding and application of chemistry in biological contexts and strategies to increase student writing in undergraduate STEM courses.Jennifer Julia Kaplan, University of Georgia

Conference Session

Computer Hardware

Collection

2014 ASEE Annual Conference & Exposition

Authors

Wayne W. Walter, Rochester Institute of Technology (COE); Timothy G. Southerton, RIT Mechanical Engineering

Tagged Divisions

Computers in Education

,the course gets started with three one hour lectures, with examples, on the basics ofArduino programming. These three lectures can be broken down as follows:1.) Getting Started with Arduino - Outlines basics of Arduino hardware, software, and robotics programming2.) Arduino Programming Language - Details sketch structure, programming syntax notes, and pin functionality3.) Starting Arduino Examples - Demonstrates integrated analog and digital writing and reading examplesTeams of two are formed, which stay together for both the lab exercises and the project.These can be self-formed by the students or assigned as they would be in industry.Beginning week 2, each week of classes for the next 8 weeks consists of two one

Conference Session

Computers in Education General Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Huiru Shih P.E., Jackson State University; Jacqueline M Jackson, Jackson State University ; Cassandra L Hawkins Wilson, Jackson State University; Pao-Chiang Yuan, Jackson State University

Tagged Divisions

Computers in Education

Engineering) from Ok- lahoma State University in 1986. He has published 60+ abstracts and articles in journals and contributed chapters to four books. Dr. Yuan continues to serve as peer reviewer for state, private grant programs and different professional journals and magazines. He is the board member of USEPA Monitoring Group, Gulf of Mexico Program. He is also council member of Mississippi Citizen Crops, Mississippi Office of Homeland Security. Dr. Yuan is the recipient, 2002 Outstanding Mentor of the Year, The Alliance for Graduate Education in Mississippi. 2004 recipient of Recycler of the year, presented by Mississippi Recycling Coalition. Professor Yuan is the JSU/Hinds County/MDEQ Computer Recycling Program di

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gregorio E. Drayer, Georgia Institute of Technology; Ayanna M. Howard, Georgia Institute of Technology

Tagged Divisions

Computers in Education

her B.S. in Engineering from Brown University, her M.S.E.E. from the University of Southern California, and her Ph.D. in Electrical Engineering from the University of Southern California in 1999. Her area of research is centered around the concept of humanized intelligence, the process of embedding human cognitive capability into the control path of autonomous systems. This work, which addresses issues of autonomous control as well as aspects of interaction with humans and the surrounding environment, has resulted in over 130 peer-reviewed pub- lications in a number of projects – from scientific rover navigation in glacier environments to assistive robots for the home. To date, her unique accomplishments have been

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Walter W. Schilling Jr., Milwaukee School of Engineering; John K. Estell, Ohio Northern University; Khalid S. Al-Olimat P.E., Ohio Northern University

Tagged Divisions

Computers in Education

Science at Ohio Northern University. He received his MS and PhD degrees in computer science from the University of Illinois at Urbana- Champaign, and his BS in computer science and engineering from The University of Toledo. His areas of research include simplifying the outcomes assessment process, first-year engineering instruction, and the pedagogical aspects of writing computer games. John currently serves as Chair of the Computers in Education Division and was one of the principal authors of the Best Paper Rubric used for determining the Best Overall Conference Paper and Best Professional Interest Council (PIC) Papers for the ASEE Annual Conference. He is a past recipient of Best Paper awards from the Computers in

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Barton K. Pursel, The Pennsylvania State University; Anna Divinsky

Tagged Divisions

Computers in Education

. The forums ofMOOCs represent a possible focal point for learners, providing a venue for tens of thousands ofindividuals to share ideas and insights around a common topic. In terms of learner intent, somelearners might be motivated solely by the availability of thousands of peers in a singlecommunity, and have no intentions to complete any of the course assignments. While thisappears to be a plausible reason to enroll in a MOOC, very little is known about how forumswith up to 100,000 students provide value to learners.To date, most research examining MOOC forums focus on the frequency of use and studentresponses to survey questions about the experience of using MOOC forums. One study

Conference Session

Computer Hardware

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ying Yu, University of Hartford; Krista M Hill, University of Hartford

Tagged Divisions

Computers in Education

verification, and teaching with new educational methods, including peer instruction, personal response systems, video games, and state- of-the-art CAD tools.Dr. Krista M Hill, University of Hartford Dr. Krista M. Hill is an associate professor in Electrical and Computer Engineering at the University of Hartford in Connecticut. PhD and MSEE from Worcester Polytechnic Inst. in Worcester MA, and previ- ously a project engineer at Digital Equipment Corp. She instructs graduate and undergraduate computer engineering computer courses, directs graduate research, and performs research involving embedded mi- croprocessor based systems. Her current projects involve small system design, signal processing, and intelligent

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

LaVonda N. Brown, Georgia Institute of Technology; Ayanna M. Howard, Georgia Institute of Technology

Tagged Divisions

Computers in Education

each combination of events throughout both tests (S=slow, A=average, F=fast, C=correct, I=incorrect, O=on-task, O’=off-task). (b) On-task vs. off-task events. (c) Speed of responses throughout test. (d) Correct vs. incorrect responses.D. Eye GazeThe eye gaze and head pose technique had an average of a 24.2% error for the 6th grade test, a32.1% error for the 7th grade test, and a 34.8% error for the 8th grade test. However, for thestudents who scored considerably higher than their peers, they exhibited up to a 65% error. Fig. 3shows the relationship between the subject’s test score and the amount of time his or her gaze iselsewhere in the room

Conference Session

Computer Hardware

Collection

2014 ASEE Annual Conference & Exposition

Authors

Johné M. Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor

Tagged Divisions

Computers in Education

Page 24.1332.3learning7-11. Scaffolding12 was suggested as a strategy to help students through difficulties withimportant aspects of the domain that seem easy or obvious to “experts” like the instructor. Keyscaffolding strategies include breaking a large task into smaller parts, working in peer groups and   prompting13-16; as students gain confidence and competency in a topic, the instructor removes thescaffolding. The efficacy of scaffolding combined with team-based learning principles isinvestigated in several studies9-11, 16 17. Employing the use of computing tools (such as spreadsheets, MATLAB or MathCAD) toillustrate key course concepts is

Conference Session

Applications of Online Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jacques C. Richard, Texas A&M University; Logan N. Collins; Kristi J. Shryock, Texas A&M University; John D. Whitcomb, Texas A&M University; John Edward Angarita, Columbia University

Tagged Divisions

Computers in Education

maintenance and support (such as battery life, easily broken, etc.) It issimple to take notes in the print version, but it can be a bit more difficult to write notes on theeTextbook although that is also a desirable capability that we wish to expand for the students. Inthis paper, we focus on the feasibility and technology readiness level for bringing an eTextbookwith embedded simulations to fruition.ApproachEngineering field needsEngineers often want to experiment and to be able to receive immediate feedback or response pertheir inputs. They want interactive analysis tools. Engineers want to perform trial-and-errorexperiments with a realistic system, with which they can interact, even if it is a simulation of areal system.Many current engineering

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

regulation in higher education courses.Their efforts are discussed next.Contemplative practices in higher educationThe Center for Contemplative Mind in Society has spearheaded the inclusion of attentiontraining techniques in education. A book published in December 2013 103 explains the methodsused to teach attention regulation and aims to empower educators to adopt and teach them tostudents. The authors present arguments about the importance of learning how to self-regulateattention and explains that this can be facilitated by the sustained practice of introspective andcontemplative activities such as mindfulness meditation, contemplative reading writing, andlistening, mindful movement, and compassion practices. They present research about