Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Fadi Castronovo, California State University, East Bay; Semih Yilmaz, California State University, East Bay; Akarsh Rao, Immersive and Interactive Research Group; Walter Condori Jr., California State University, East Bay; Karan Monga, STEM Educational Gaming Research Group; Hadiseh Gooranorimi, California State University, East Bay

Tagged Divisions

Computers in Education

greenhouse gas known as methane. Methane is a powerfulcontributor to the progression of global warming since it can amplify the greenhouse effect ofcarbon dioxide by 21 to 25 times [8]. To combat this effect, California, for example, has enactedAssembly Bill no. 1826 in 2014 [9]. This bill requires organizations to establish wastemanagement facilities; this also reflects onto universities and colleges. The inclusion ofuniversities in this bill is following the landmark 2001 decision of EPA to hold higher educationinstitutions responsible for their environmental impact on an equal footing with othercommercial and governmental institutions [10], [11]. Universities are not only among the manyinstitutions that contribute to energy, water or solid waste

Conference Session

Embedded Computing

Collection

2008 Annual Conference & Exposition

Authors

Michael Holden, California Maritime Academy

Tagged Divisions

Computers in Education

datain the microcontroller to reflect the units of the sensor being measured. The microcontrollercould also store the data as it is measured, and dump it into labview later, for self contained datalogging. The freedom to modify the software to suit the project is one of the biggest advantagesto using a microcontroller over a traditional DAQ unit.The DAQ system compares quite favorably to the commercial units, especially considering theparts cost (without the breadboard) is less than $20. A printed circuit board for this design wouldbe small and likely to cost less than $10, so the system cost would be reasonable if assembledinto a dedicated device.The data is logged with less precision (10 bits vs. 12 or 16 on the National Instruments DAQdevices

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Othoniel Rodriguez-Jimenez, Polytechnic University of Puerto Rico; Carlos Pacheco, Polytechnic University of Puerto Rico; Nelson Reyes-Aviles, Polytechnic University of Puerto Rico; Marisol Mercado, Polytechnic University of Puerto Rico

Tagged Divisions

Computers in Education

of thesyllabus sections in a database allows for the generation of reports or documents across thewhole set of syllabi. Some of the reports or documents generated can include actualized list ofthe short course descriptions suitable for incorporation into the catalog and/or school website, listof textbooks for the campus bookstore, list of bibliographic references for the campus library, amapping of where are the program outcomes being reflected throughout the curriculum, and alist of faculty responsible for the various courses.The Universal Syllabus ApplicationThe above list of problems and the advantages notedfor automating the syllabus authoring process,prompted the decision to develop a dedicated webapplication.The Universal Syllabus

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Sam Shearman, National Instruments

Tagged Divisions

Computers in Education

focus away from the concept at hand.Design for ExplorationAn approach to UI design that encourages exploration involves working to tailor the UI to suit aspecific sequence of activities. To do so, you can write out a step-by-step script that describeswhat the user does, how the software responds, what insight is gained, and other details. Such ascript can provide an organizational framework that helps to focus your efforts.Figure 3 shows an interactive concept demonstration that examines sampling theory and aliasing.Its UI reflects a number of design decisions based on a sample script shown in Table 1. As youmight expect, the parameters and displays mentioned in the steps have corresponding userinterface elements. Input controls on the left

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James E. Lewis, University of Louisville; Brian Scott Robinson, University of Louisville; Nicholas Hawkins, University of Louisville

Tagged Divisions

Computers in Education

integration of the fundamentals learned in ENGR 110. Included amongstnumerous skills institutionally-identified as “fundamental” was programming, hence all SSoEengineering students – regardless of discipline – are exposed to edification in the basics ofprogramming.Associated programming curriculum developed for this sequence was heavily influenced by adesire to reflect the varying nature of programming applications throughout industry and theengineering profession. In other words, it is virtually impossible to expose students to all of thepossible programming “styles” and dozens of varying programming languages rampant in themodern work force. Accordingly, pedagogy throughout both ENGR 110 and 111 has beendesigned to expose students to multiple types

Conference Session

Embedded Computing

Collection

2007 Annual Conference & Exposition

Authors

Michael Holden, San Francisco State University; Juan Carlos Miranda, San Francisco State University; Jose Coto, San Francisco State University

Tagged Divisions

Computers in Education

explaining the baseline system (question 3). As the motor control equipmentwas received almost at the end of the semester, and the project itself was quite rushed, it is notsurprising to the instructor that the students would want more time on this project, and the nextoffering of the course will reflect this data. Page 12.1064.8 1. A real time programming project seems appropriate in an advanced controls class12 1010864 32 0 0 00 5 4 3 2 1 Strongly Agree Neutral Disagree

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

Matthew Roberts, University of Wisconsin-Platteville; Christina Curras, University of Wisconsin-Platteville; Philip Parker, University of Wisconsin-Platteville

Tagged Divisions

Computers in Education

engineeringdisciplines so students can solve various problems in different technical disciplines. Organizingthe problems (which were stored by assignment as word-processing files) and tracking theirprevious usage became a daunting task. To facilitate our efforts, a database was developed(using Microsoft Access) to store the problems.The database is now in use and has simplified the creation of homework assignments. Thedesign of this database, its advantages, and usage issues we have encountered will be the focus ofthe paper. Assessment includes reflection by the instructors who have used the database.ObjectivesThe objectives of this project were to create a homework problems database that: Organizes more than 300 problems into an easily-retrievable format

Conference Session

Programming for Engineering Students

Collection

2006 Annual Conference & Exposition

Authors

Ramzi Bualuan, University of Notre Dame

Tagged Divisions

Computers in Education

leadingplayer 2 (right) 3-2, and player 2 is about to return the ball. The ball bounces off a paddleas a function of its point of impact, and bounces off the side court (horizontal lines) justas a mirror reflection. A point is scored if the ball goes past a backcourt (vertical walls),and a new ball is then served. Page 11.1203.4 Figure 1: snapshot of the Pong gameFigure 2 below shows descriptions of some of the project functions provided in the Ponggame. As mentioned above, students basically treat them as black boxes, as if they werepart of Matlab’s intrinsic functions. Some students are actually surprised when they findout that the

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Bobby G Crawford P.E., U.S. Military Academy; Lynn K Byers, U.S. Military Academy; Rebecca Zifchock, United States Military Academy

Tagged Divisions

Computers in Education

higher percentage of verballearners prefer MATLAB compared to their visual counterparts.IntroductionTheoretically, there are several different learning styles that can be observed in students. Oneway to assess these learning styles is to use the “Index of Learning Styles” designed by RichardFelder and Barbara Soloman2. The questionnaire assesses the students’ learning styles based onfour dimensions of learning: Active vs Reflective, Sensing vs Intuitive, Visual vs Verbal, andSequential vs Global. This study focused only on the Visual vs Verbal and Sequential vs Globaldimensions of the questionnaire. The purpose of this research is to determine the learning stylesof the students enrolled in Computer Aided Design, as taught in the Mechanical

Conference Session

Robotics in Education

Collection

2010 Annual Conference & Exposition

Authors

Kenny Fotouhi, University of Maryland; Susan Cooledge, University of Maryland Eastern Shore

Tagged Divisions

Computers in Education

≠ Backward Walking – Basic back steps only ≠ Coordinated Walking – A routine where the robot took a few steps forward then turned and then took a few steps backward Page 15.871.5 ≠ Turning Around – Simple pivot steps to turn the robot around ≠ Light Compass – The toddler pointed in the direction of the brightest part of the room with the help of two photo resistors, capacitors and resistors in a circuit ≠ Follow the Light – The Toddler followed a flashlight in the dark ≠ Object Detector – This was tested by using an infrared light to detect objects by the reflectance of the light to an object and staying away from

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

David M. Whittinghill, Purdue University, West Lafayette; David B. Nelson, Purdue University; K. Andrew R. Richards, Purdue University; Charles A. Calahan

Tagged Divisions

Computers in Education

enrolled in the course if it were notrequired of them. At the conclusion of the course, students were asked to reflect on thecontribution of the course to their enjoyment of programming. We used this data tocreate a pre and post-score, where like/dislike of programming was measured in thebeginning and end of the course.We used this data to test four research questions about attitudes toward programming: 1) Can an inclusive, supportive environment that is catered to the non-programmer lead to improved attitudes about programming? 2) Can students with low-positive feelings (LP) increase their confidence in programming? 3) Does prior experience with programming influence the degree of attitudinal change? 4) Do specific

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Nader Rafla, Boise State University

Tagged Divisions

Computers in Education

: NumericallyControlled Oscillator (NCO); Cascaded Integrator Combo (CIC) filter; Channel Equalizer;Digital Communication Transmitter; Digital Communication Receiver; and Pulse Shaping.Course Benefits and AssessmentThis course is an important elective course to graduate students interested in the topics of DSPand reconfigurable hardware design. It plays a vital role in stimulating their interest to performresearch in the area of hardware implementation of DSP systems. Through lectures, readings,and working with practical designs, students learn the pros and cons of different implementationmethodologies. Each time the course is offered, its contents change to reflect the new trends inindustry including any new features of the tools and hardware platforms

Conference Session

Tablet and Portable PCs for Education

Collection

2010 Annual Conference & Exposition

Authors

Julia Williams, Rose-Hulman Institute of Technology; M. Hossein Hariri, Rose-Hulman Institute of Technology; Sudipa Mitra-Kirtley, Rose-Hulman Institute of Technology; Shannon Sexton, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

classrooms offers apromise of improved student learning and faculty teaching. To this point, however, assessmentof the impact of digital ink technologies (both hardware and software) has only begun. Ourproject focused on student note-taking strategies during course lectures. The use of tablet PCsand DyKnow Vision software provided faculty the opportunity to share prepared notes whilestudents could annotate those notes during class. Our results regarding the impact on studentnote-taking strategies indicate that students must re-imagine their traditional classroom role,from scribe to reflective learner.Measuring the Impact of Digital Ink on Students’ Note-taking StrategiesRecent developments in educational technology have provided instructors with an

Conference Session

General Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Perry Samson, University of Michigan

Tagged Divisions

Computers in Education

’ learningprocesses, and reflect on their own teaching (Merceron and Yacef, 2005, Romero and Ventura,2007, Baker and Yacef, 2009, Baker, 2010) Several Educational Data Mining studies of student Page 24.1181.4behavior in online and other educational tools revealed differences between groups of students interms of such variables as level of participation in discussion boards (Anaya and Boticario, 2009),Questions & Answers boards, completion of assignments, and annotations (Zakrzewska, 2008,Anaya and Boticario, 2009, Macfadyen and Dawson, 2010). Each of these studies has helped tovalidate these techniques as methods of identifying pedagogically interesting

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James Christopher Foreman, University of Louisville; Aly Farag, University of Louisville; Asem Ali, University of Louisville; Islam Alkabbany, University of Louisville; Marci S. Decaro, University of Louisville; Thomas Tretter, University of Louisville

Tagged Divisions

Computers in Education

classroom, both the instructor and student can objectivelyobserve this metric. Instructors can use the metric to tailor delivery of the course material,spending more or less time on concepts, and move away from ineffective teaching methodsand towards effective methods. Students, given this knowledge of their own engagement,can reflect on why they may be disengaged, potentially become motivated to improve theirengagement, and communicate effectively with the instructor to seek assistance. Once theproblem of disengagement is identified and associated with specific classroom activities andconcepts, both the student and instructor can work together towards a successful learningoutcome.1.3 How Measuring Engagement Facilitates Better Evaluation of

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

assignments, asking questions, giving hints,evaluating responses, providing feedback, prompting reflection, providing comments that booststudent interest) and adapts or personalizes those functions by modeling students’ cognitive,motivational or emotional states. This definition distinguishes ITS from test-and-branch tutorial Page 26.1754.2systems which individualize instruction by matching a student’s most recent response againstpreprogrammed, question-specific targets. Complicating matters, there are sophisticatedcomputerized adaptive testing systems, not usually considered to be ITS, that use item responsetheory to model student ability as a

Conference Session

Issues in Computer Education-HDL

Collection

2007 Annual Conference & Exposition

Authors

Jeff Gribschaw, D/EECS, USMA; Paul Patterson, D/EECS, USMA; Bryan Goda, USMA

Tagged Divisions

Computers in Education

the survey (or otherassessment technique used) with students and answering their concerns greatly helps build abetter learning environment. The potential exists for students to be overwhelmed with the number of CAD/E tools theyare required to learn over the course of earning an undergraduate electrical engineering degree.Table 1 lists the twenty-three software programs used in the United States Military Academy(USMA) Electrical Engineering program and all of the courses that use each software. A quickscan of the table reveals that we expect students to learn a tremendous number of applicationsover the course of their final two and a half years. Not reflected in the diagram is that we spendless than twenty hours of formal instruction on

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

Thad B. Welch III P.E., Boise State University; Cameron H. G. Wright P.E., University of Wyoming; Tara N Kimmey; Andres Valdepena Delgado, Boise State University; Sue ORorke, Gifted and Talented Facilitator, West Ada School District ; Morgan Brimstein, Boise State University ; Amy Gabriella Norris; Drew Buckmiller, Boise State University; Ryan Schwartz, Boise State University; Donna R Welch, Boise State University; Rhett James Edwards, Boise State University

Tagged Divisions

Computers in Education

light.Source: http://9-4fordham.wikispaces.com/file/view/em_spectrum.jpg/244287321/em_spectrum.jpgReveals DifferencesFigure 4. Two identical mugs in the visible spectrum.Figure 5. The two mugs viewed in the infrared spectrum.Figures 4 and 5 illustrate how infrared imaging can be used to see things that areotherwise impossible to see. Figure 4 shows two seemingly identical mugs. However,as shown in Figure 5, the mug on the left has been filled with cold water, and the mugon the right has been filled with hot water. One really interesting aspect of this image isthat we can see the reflection of the heat, the infrared radiation, from the hot mug on thecold mug and on the table.Shows Hot Spots Figure 6: Phone chargersThe picture in Figure 6 is

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew West, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

difficulty. The “HW Score” is the score that the student will actually receive for this homework (a constant factor multiplied by the Mastery Score, capped at 100%). The “Do a recommended question” button will take the student to a randomly chosen question with a high recommendation rating, or they can click on a specific question to do it directly.the student has a mastery score that reflects PrairieLearn’s estimate of the student’s ability on thishomework assignment. To increase their mastery score, the student must answer questionscorrectly, in any order they choose. A student can attempt a question as many times as they like(whether answering correctly or incorrectly), but question parameters are randomized on

Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Carl B Dietrich P.E., Virginia Tech; Vuk Marojevic, Virginia Polytechnic Institute and State University; Nicholas F Polys, Virginia Polytechnic Institute and State University; R. Michael Buehrer, Virginia Tech

Tagged Divisions

Computers in Education

observed were most certainlysignificant themselves as shown by the Wilcoxon Signed Ranks test. As stated before, thequizzes were structured similarly to one another, but did not necessarily cover exactly the sameproblem topics or types in each of the three iterations. It is therefore possible that concepts moreeffectively learned in the classroom were more salient in Quiz 2 than either of the other twoquizzes.Additionally, the Wilcoxon test decisively shows that the quiz performance differences forstudents that received the intervention did not approach a point that was significant for Quizzes 1and 3, and there were several more cases where students did worse overall than better on theQuiz 3. This is also reflected in the general means for quiz

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

analytics for illustrating the activity of thousands of MOOClearners while recognizing that analytics serve a variety of user groups who may not be familiarwith data interpretation. A key goal of applying learning analytics to inform pedagogicalinterventions is enabling the agency of learners through goal-setting and reflection [15]. To planeffective interventions, the instructor needs to know where learners are in the course and withwhat they are struggling. Having rich, contextualized behavioral data readily available enablesinstructors to make these decisions.Personalization is an important aspect of online education generally and MOOCs specifically, asindividual learners have unique motivations and goals. Bonk et al. [16] found that

Conference Session

Mobile Robotics in Education

Collection

2007 Annual Conference & Exposition

Authors

Eric Wang, University of Nevada-Reno; Jeffrey LaCombe, University of Nevada-Reno; Ann-Marie Vollstedt, University of Nevada-Reno

Tagged Divisions

Computers in Education

).To assess the whether or not student could learn pseudo-code using the online learning modulealone, a control group study was completed. While all of the students were given access to theonline learning module, only half of the students were also given in-class instruction that coveredthe same material. Since there were three different instructors involved in the course, the studentsthat received the additional in-class lectures were all taught by the same instructor. Bycomparing the performance on the third (pseudo-code) quiz we can infer whether or not theonline module alone is sufficient to teach students how to transfer their ROBOLAB knowledgeto another programming language.Grades for the reflective reports were used to assess the

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Smitesh Bakrania, Rowan University

Tagged Divisions

Computers in Education

of students disengaged or distracted - this was especially true for Class 1 which was an 8 am class.4. Increased overall participation. Apart from participation mandated by the app, students were eventually more comfortable at sharing their thoughts during class - even without the use of the app. Of course, it is difficult to make such a statement without an effective comparison but the level of volunteered participation was noticeably higher compared to previous offerings of the same courses. This can be attributed to the frequent use of Pikme leading to students feeling at ease with contributing their ideas. This observation was also reflected in the student survey.Student Survey ResultsAs explained earlier, two forms of

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jonathan M. Hill, University of Hartford; Devdas Shetty, University of Hartford

Tagged Divisions

Computers in Education

inexpensive than the priorsystem, in particular, it is more multi-disciplinary, providing entirely new educational value. Thesystem allows students to more closely study principles involved in sampling and signalconditioning, as well as the opportunity to study data acquisition software, but without involvingintensive programming. These goals were achieved with an inexpensive acquisition systemalong with two software tools, namely Python and MATLAB.The overall system comprises the experimental apparatus, signal conditioning electronics, a dataacquisition module, and a host computer. The experimental apparatus includes a laser, reflectivefilm, and a position sensitive device (PSD), arranged as in Figure 1. A change in position dy ofthe reflective film

Conference Session

Computational Tools and Simulation III

Collection

2010 Annual Conference & Exposition

Authors

Stephen Crown, University of Texas, Pan American; Arturo Fuentes, University of Texas, Pan American; Robert Jones, University of Texas, Pan American; Rajiv Nambiar, University of Texas, Pan American; Deborah Crown, San Jose State University

Tagged Divisions

Computers in Education

thisinteractive online learning environment is to encourage students to think reflectively on coursefundamentals. Although providing students with access to a complex artificial intelligencefocused on course fundamentals is a valuable byproduct, the greatest value lies in the studentmotivation and engagement associated with development of the knowledge base. Studentinvolvement in the process of building Anne's knowledge base has proven to be instructional andfun. The knowledge base is built from individual and cooperative student interactions. As part ofassigned coursework students formulate questions based on their perceptions of coursefundamentals and attempt to provide responses that are consistent with their own knowledge andin a way that other

Conference Session

Computing in the First Year

Collection

2014 ASEE Annual Conference & Exposition

Authors

Meagan Eleanor Ita, Ohio State University ; Krista M. Kecskemety, Ohio State University; Katlyn Elizabeth Ashley, Ohio State University; Brooke Morin, Ohio State University

Tagged Divisions

Computers in Education

overcomputer-based examinations, the student performance results do not reflect this test modepreference. Interestingly, in a study conducted by Koch and Patience where Likert-type scalesregarding general test preference were administered to students, students preferred computer-based tests more often than paper-based.9 Similar to results shown here, no correlation could bemade between student test mode preference and exam performance.Individual exam questions were additionally analyzed for statistical significance using aWilcoxon rank-sum test. From all three exams, five questions exhibited significantly differentstudent performance between computer and paper portions of identical questions. These fivequestions, a description of each, computer and

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

David Ahlgren, Trinity College; Igor Verner, Technion-Israel Institute of Technology

Tagged Divisions

Computers in Education

competition_______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________3. StrategiesPlease reflect on matching of the assistive robotics competition goals by the current RoboWaiter contest. Suggeststrategies that can improve the RoboWaiter._______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________4. ReasonsThe first of the tables below is intended for contestants and the second (reverse side) for supporters. Please answerin the proper table. The tables are similar: the first column includes a list of possible reasons for participation in orsupport of the RoboWaiter. In the second column please estimate the

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Computers in Education

findings support effectiveness of computer simulations. Inmany ways simulation has been found to be even more effective than traditional instructional practices.In particular, the literature shows that computer simulations can be effective in: 1) developing sciencecontent knowledge and process skills, and 2) promoting inquiry-based learning and conceptual change.Effectiveness of CMST in education is also well grounded in contemporary learning theories thatrecognize the role of experience, abstract thinking, and reflection in constructing knowledge anddeveloping ideas and skills.16, 22, 27, 38, 61 Cognitive aspects of CMST are being further detailed in a recentarticle by Yaşar67 using a computational model of how the mind learns. Computational

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sherif Abdelhamid, Virginia Military Institute; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

discussion wasutilized, leading to a 100% agreement at the end. Researchers shared the same intention oflooking for figurative language and other instructors’ stylistics. First, researchers read a randomsample of 10 video transcripts and developed initial categories that were used to code the rest ofthe videos. The first round of codebook analysis revealed three initial categories: figurativelanguage, technical figurative language, and teaching style. In the second round, researcherswent through all the excerpts coded as figurative language and developed further categories ofcodes reflecting the figurative language type. The codes created in the first and second roundsare shown in table 1. The following metaphors and figurative language were

Conference Session

Computers in Education 3 - Modulus I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Arinjoy Basak, Virginia Polytechnic Institute and State University; Todd Patrick Shuba, Virginia Polytechnic Institute and State University; Jianqiang Zhang, Virginia Polytechnic Institute and State University; Sneha Patel Davison, Virginia Polytechnic Institute and State University; David A. Dillard, Virginia Polytechnic Institute and State University; Jacob R. Grohs, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Clifford A. Shaffer, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

construction, as this distinguishes ex-perts and novices. According to cognitive load theory (CLT), for learning to occur, workingmemory needs to accommodate the additive needs of intrinsic, extraneous, and germane cogni-tive loads [9]. From this perspective, interactive exercises empower the user to optimize theirown learning through the ability to decrease intrinsic cognitive load of the problem, allowingidentification of what they know and what they don’t, as well as provide opportunity for meta-cognitive reflection – all of which has been shown to increase development of more complexknowledge [10]. When done properly, educational technologies and e-learning environments cangreatly optimize the elements of CLT for effective learning [11