Conference Session

Robots in Education

Collection

2009 Annual Conference & Exposition

Authors

Alexander Mentis, United States Military Academy; Charles Reynolds, United States Military Academy; Donald Abbott-McCune, United States Military Academy; Benjamin Ring, United States Military Academy

Tagged Divisions

Computers in Education

the GNAT GPL 2008 distribution. Page 14.309.43.2 AbstractionOur package provides public Ada functions for most of the Create Open Interface opcodes, andwe have plans to implement more functionality in future versions. Each function accepts a set ofparameters sufficient to generate the data bytes required by its opcode and returns a pointer to adynamically-sized array of bytes containing the opcode and data bytes. This pointer can then besent as a parameter to the Xmit procedure, provided in the linked child package, which streamsthe bits to the Create in a manner compatible with the target operating system.By the point in the course that our

Conference Session

CoED: Potpourri

Collection

2017 ASEE Annual Conference & Exposition

Authors

Osman Yasar, State University of New York, Brockport; Jose Maliekal, The College at Brockport, State University of New York; Peter Veronesi, The College at Brockport - SUNY; Leigh J Little, SUNY Brockport

Tagged Divisions

Computers in Education

classrooms after one year of training, 78% reported regular use after three-year training. Besides teacher confidence and comfort level with the tools, studentengagement, grade levels and subject areas also affected the intensity of CMST utilization inthe classroom. A typical annual survey, shown in Table 2, indicated that the higher the gradelevel the more regularly the tool usage. Modeling is a common practice in math but it maynot need as many resources as science classes to simulate time-dependent dynamics ofscientific phenomena. By the end of the initiative, we developed a large database ofmodeling-based curricular modules and lesson plans to increase utilization by participatingmath and science teachers. Currently they are well utilized

Conference Session

Computing Technology Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, The Ohio State University; Neelam Soundarajan, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

responded that CONSIDER provided thema better opportunity to learn than any other in-class or online activity. A very high number of par-ticipants said that the two unique features of CONSIDER approach –anonymity and rounds-basedstructure– helped improve the quality of discussion in their groups (83 and 75% respectively).Their text comments to the reflective questions highlight the importance of the unique features ofCONSIDER.We plan to further evaluate the efficacy of the features of CONSIDER by designing careful ex-periments in coming semesters and using the tool in different engineering classrooms. This setof experiments will help us evaluate the effectiveness of these features of CONSIDER. We wouldalso like to perform a detailed analysis on the

Conference Session

Computing Technology Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Peter J Clarke, Florida International University; Debra Lee Davis, Florida International University; Raymond Chang Lau, Florida International University; Yujian Fu P.E., Alabama A&M University; James D Kiper, Miami University; Gursimran Singh Walia, North Dakota State University

Tagged Divisions

Computers in Education

using the email we have for them onfile. It should be noted that only 75 email survey requests out of 1055 bounced back, this wouldlead us to conclude that a majority of the requests were either ignored or were not read. We planto provide some incentives for students to complete the surveys going forward. We also plan toadminister the survey well before the end of the semester.One other limitation of the study is that it is very possible that those who responded to the surveysare different from those who did not respond. For example, for the instructor survey, it may bethat only those instructors who viewed the workshops as helpful actually responded. Those whodid not respond may have been more likely to find that the workshops were not helpful

Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University

Tagged Divisions

Computers in Education

this direction inproving that there is a benefit to games and teaching HDLs.The website www.users.miamioh.edu/jamiespa/verilogTown/ provides manyadditional details about the game and has links that will guide researchers to the source code,downloadable files, and other resources for the game and learning Verilog.References [1] J. McGonigal. Reality Is Broken: Why Games Make Us Better and How They Can Change the World. Penguin Press, 2011. [2] Mihaly Csikszentmihalyi. Flow. Springer, 2014. [3] Tim Harford. Adapt: Why success always starts with failure. Macmillan, 2011. [4] Alfie Kohn. Punished by rewards: The trouble with gold stars, incentive plans, A’s, praise, and other bribes. Houghton Mifflin Harcourt, 1999. [5] P. Jamieson and L

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Vanessa Svihla, University of New Mexico; Woong Lim, University of New Mexico; Elizabeth Ellen Esterly, University of New Mexico; Irene A Lee, MIT; Melanie E Moses, Department of Computer Science, University of New Mexico; Paige Prescott, University of New Mexico; Tryphenia B. Peele-Eady Ph.D., University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

applied theskills they were learning.Significance and implicationsStudents from underrepresented groups in CS as well as first-generation college students benefitfrom studying STEM in a computational modeling format that allows them increasing creativityand agency in defining and solving problems. This accessible approach helps students to investin their work, which as we argue here, leads to feelings of ownership and belonging. Theimportance of students having agency in designing their own projects was particularly evident inthe final modules. In future work, we plan to investigate ways to provide students with moreagentive opportunities in the Swarmathon. Affording students with leeway to define andsubsequently solve problems that they find

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Ganesh Padmanabhan, North Dakota State University; Mark E McCourt, Department of Psychology, North Dakota State University

Tagged Divisions

Computers in Education

efficiency but the correlation was not significant. This introduces a thought that;apart from students’ understanding, inspection may also rely more on the way requirementsdocuments are written that leads to fixations and quick fault detection. Hence, educators can usethe relationship between eye movement and LSs vs inspection performance to improve theirtraining by teaching students to follow inspection process and focus more at areas where faultsusually manifest (i.e. ROI’s) in requirements document. This reduces the effort spent and lead todetection of high number of faults with higher pace. We plan to evaluate this aspect in futurestudies in hope of training students better in software inspections.7. Conclusion and Future WorkBased on the

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Susan L. Miertschin, University of Houston, College of Technology (MERGED MEMBERSHIP WITH COE); Barbara Louise Stewart, University of Houston; Carole E. Goodson, University of Houston (CoT)

Tagged Divisions

Computers in Education

activities, group interactions, interactive useof mobile devices and clickers, simulations, and interactive tutorials as means to enable them toengage more fully with course content. These can be applied to future course design. Students’desires for content demonstrations and examples are an additional design aspect that can beincluded in course creation planning. Allowing students to have hands-on experiences, showingstep-by-step processes, sharing videos (including YouTube videos), and examples of previousstudent work were also viewed by students as ways to support their learning experience. All ofthese are readily available to instructors to incorporate into their courses.Conclusions and RecommendationsIn sum, students in this study valued the

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alessio Gaspar, University of South Florida; Dmytro Vitel, University of South Florida; A.T.M. Golam Bari, University of South Florida

Tagged Divisions

Computers in Education

tightlycoupled with the specifics of the current puzzle-generation engine. Further decoupling it is anessential step in making it even easier to connect a radically different component to generateParsons puzzles. This is particularly relevant to researchers focused on artificial intelligenceeducational applications. We also plan on developing a dashboard for both instructors and thesystem administrators, including runtime monitoring and intercession.We aim for EvoParsons to be a framework to not only serve students but also enable researchersto easily validate pedagogical or artificial intelligence hypotheses.AcknowledgmentsThis material is based in part upon work supported by the Association for ComputingMachinery’s SIGCSE Special Projects 2015 award

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shuo Ren, Old Dominion University; Zelin Zhu, Old Dominion University; Rick McKenzie, Old Dominion University; Yuzhong Shen, Old Dominion University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

compatible – we need to expand this app on other mobile platforms (iOS, WindowsMobile) to cater iPhone and Windows phone users , (ii) conducting a survey to evaluate theusability of this mobile app (planned for Spring 2018), and lastly (iii) comparing the study resultsfrom mobile app with the results from other VR platforms that we have studied such as theCAVE and the 3D TV.8 References[1] T. Abdel-Salam, P. J. Kauffman, and G. Crossman, "Does the lack of hands-on experience in a remotely delivered laboratory course affect student learning?," European Journal of Engineering Education, vol. 31, no. 6, pp. 747-756, 2006/12/01 2006.[2] B. Jackson. (2015). What is Virtual Reality? Definition and Examples. Available: http

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University, West Lafayette; Kerrie A. Douglas, Purdue University, West Lafayette; Tarun Yellamraju, Purdue University, West Lafayette; Mireille Boutin, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

dimensionality ofthe survey data input increases 𝑛𝑛-TARP should continue to be effective. We intend to expand thedimensionality of the data by including all the questions from the pre-survey instead of the eightquestion subset we used in this study. This goal of including additional questions poses somechallenges since not all questions have a Likert scale, nor are they all ordinal. Further, in this studywe considered pre-course survey responses from only four courses; moving forward we plan toincrease this analysis to over 200 courses.6. CONCLUSIONSIn summary, we proposed a new data analysis approach for survey data using 𝑛𝑛-TARP. We generateda distribution of clusters based on student responses to MOOC pre-course survey questions. Ourapproach

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alexander James Tuttle, University of Georgia; Siddharth Savadatti, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education

of problem solving (2 Totals 67% 44% 51%problems per session with 11sessions), 12 instances were stopped Table 2 Mean scores by problem and condition.by the researchers before theparticipants felt they had completed solving the problem. Researchers stopped these instancesbecause the planned 15-20 min were exhausted. Scores between problems were correlated at amedium level (R2=0.59). On an average, participants working alone received higher scores thanthose working in pairs (67% vs. 44%) and the first problem solved in each session receivedlower scores than the second (45% vs. 57%).7. DiscussionThe statics instructor who graded the solutions to the two problems (and from whose engineeringstatics

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University

Tagged Divisions

Computers in Education

with respect to engineering students and instructors. Thisresearch endeavor might as well lead to model the relationship between the usability of LMS forengineering vs. other academic disciplines. It has been detected from the SAM that there are notsufficient research endeavors to understand how usable LMS are with respect to occupationaltraining in corporations. The research has been focusing on usability of LMS in educationalinstitutions, yet corporation e-training has been disregarded. The authors are planning to focus onLMS usability for different types of employees; covering blue collar and white collar employees’trainings. 4. Which LMS types have been investigated mostly?Moodle and Blackboard have been the mostly used LMS in the

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Bruce W. Char, Drexel University (Computing); Thomas T. Hewett, Drexel University

Tagged Divisions

Computers in Education

computation by engineering students hasbeen the continuing challenge. We report on our experiences, lessons learned, and plans for thefuture as we revise the course.Course objectivesUse of computation is indisputably part of every engineer's foundational training. However,there does not appear to be a consensus on the extent of such training, or its outcomes. Trainingfor professional software developers (as evidenced by what it would take to be seriouslyconsidered for a professional software development position nowadays) would seem to includethe equivalent of at least several terms of courses to achieve a working knowledge of softwaredevelopment: programming in two or more languages, data structures, performance analysis,software design, and basic

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jeremy Wayne Gilreath, Guilford College; Chafic Bou-Saba, Guilford College

Tagged Divisions

Computers in Education

. The Model B Raspberry Pi has twicethe SDRAM, an additional USB 2.0 port (both of which are moved to an integrated 3-port USBhub,) and a 10/100 MBit/s Ethernet USB adapter which takes up one of these ports on the hub;the tradeoff is that the Model B takes 3.5W of power as opposed to the 1.5W required by theModel A. Both Models run on a variety of Linux distributions such as Raspbian (a DebianWheezy port) and Pidora (a Fedora port), in addition to other OS such as OpenElec and RISCOS. The official distributions are optimized for the CPU's ARMv6 instruction set and are freelyavailable for download, yet many more are available for download. 5 Nearly all distributions areLinux-based, with the notable exception of Plan 9 developed by Bell Labs

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

Larry Lagerstrom, Stanford University; Petr Johanes, Stanford University; Umnouy Ponsukcharoen, Stanford University

Tagged Divisions

Computers in Education

guessing at the intention with which students load and watch videos. We can tryto infer a user’s intention from shorter skips or longer leaps, from short clicks or long pauses,but, really, we do not know. Going forward we plan to weave features into our user interfacesthat help us collect data not just on how users are interacting with videos and other resources, butalso why they are using them in that moment. In other words, rather than inferring intentions andcontexts from interaction traces, we want to deduce them more directly through self-reporting orother means. We believe that this shift in focus for building online learning user interfaces canyield valuable insights as much about interface design as about the learning process.A related

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Borjana Mikic, Smith College; Al Rudnitsky, Smith College; Annick Jade Dewald; Anjali Karina Desai, Smith College

Tagged Divisions

Computers in Education

heated to. The next question to consider would be…” Social Supporting discussion or “I like your thinking!” Dynamics expressing agreement without furthering the idea Strategic Talk Announcing or updating “By using the colored sheets that strategic plans or were handed out in class we are initiatives such as able to calculate the principal distributing labor or stresses” getting

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

schematics, but also introduced a HardwareDescription Language (HDL) in the context of code fragments and test benches. Wang13suggested an integrated approach incorporating breadboard debugging techniques, as well asdesign and simulation with CAD tools, had students use a development board, and reportedpositive student feedback. Wang outlines the controversy regarding the use of schematics versusan HDL, expressing a concern that emphasis on an HDL may distract students from thefundamentals of digital logic and suggests that an HDL be taught later, at the junior level.In our initial planning we followed Wang's advice and chose to not introduce HDLs in ourcourse, but we were later forced to introduce test bench files as the 32-bit version of ISE

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Debra J. Mascaro, University of Utah; Stephen Mascaro, University of Utah

Tagged Divisions

Computers in Education

2014 and Fall 2014 offerings of the revised course. With the exceptionof the Fall 2014 final exam, the exam averages are higher for the revised course, which is to beexpected given that the programming instruction nearly doubled and all lab/homework/projectassignments were focused on programming.In a couple of years when the students who have taken our programming course are enrolled inour junior-level Mechatronics sequence, we plan to administer additional surveys to assess howwell the students feel at that time about their programming preparation and retention. We canalso compare the performance of the students who have taken our programming course vs.transfer students who have taken programming courses elsewhere, though there are many

Conference Session

Computer-Based Games and Animations in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jacob R Grohs, Virginia Tech; Darren K Maczka, Virginia Tech Department of Engineering Education; Michelle Soledad, Virginia Tech; Kiran Kelsey Bagalkotkar

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

ADAGE25 ) to track specific meaningful behaviors such as thenumber of times a player clicks the query button for objects (information gathering to define theproblem and plan) or to capture the rapid acceleration of object placement that could indicate the“aha moment” of insight in discovering the solution and quickly implementing. By pairing suchdata with think-aloud interviews, we can corroborate or refute such coding in order to exploremetacognitive activity in problem solving. That is, through such procedures we hope to not onlyobserve and document specific strategies being used, or to hear the participant claim to use suchstrategies, but to see if and when both happen together.InterviewsThe semi-structured interviews were designed to get a

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kenneth A. Ritter III, University of Louisiana, Lafayette; Terrence L. Chambers PE, University of Louisiana, Lafayette; Christoph W. Borst, University of Louisiana, Lafayette

Tagged Divisions

Computers in Education

% Viewing Angles 11% None 8% Not Enough Interactions 8% Video Audio 8% Pictures Text Small 6% More Animations 3%For the upcoming immersive study, Razer Hydra controllers will be used, and this should greatlyimprove the movement and interaction controls. Other negative comments included theinformation icons being hard to find or confusing. Future plans to address this includeeliminating some of the icons and having students directly interact with scene objects. Very fewstudents

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Myrtede Christie Alfred, Clemson University; Morris Branchell Lee III; David M. Neyens, Clemson University; Anand K. Gramopadhye, Clemson University

Tagged Divisions

Computers in Education

, I guess ... Part of the thought process that came in was when I had that one light bulb that didn't work, um, and I needed to make sure that, uh, it could; but everything other than that was very step by step, and very methodical. Um, I didn't really do a lot of trial and error until I came up with an error, and then I had to try to fix it.”Participants in the physical condition, however, described a more structured approach usingphrases such as “being organized,” “following instructions,” and “planning.” Participants in thecomputer environments appeared more comfortable with a less structured approach makingstatements such as “…and then if I didn't, then, you know if it didn't work then I would just haveto play around

Conference Session

Technical Session 2: Embedded Systems

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Ryan A. Taylor, University of Alabama

Tagged Divisions

Computers in Education

processshortcomings, increase software quality, and aid in development planning [11], [19]. Studentconfidence can be increased by comparing their metrics to those published in the literature.Furthermore, the instructor gains insight from collecting metrics on the students’ softwareprocess. The instructor can observe the improvement in individual and class abilities, as well asacquire indicators of the relative complexity of homework and design assignments. Manysoftware measures in IEEE Std. 982.1 are obtained very naturally during the developmentprocess described in the previous section [3]. Throughout the design activities and the inspectionprocess, students are asked to record: Defects -- identified by author, design task, defect type, and severity

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Zhiyi Li; Stephen H. Edwards, Virginia Tech

Tagged Divisions

Computers in Education

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

a lot about what it takes to make anonline course successful. Among key lessons learned were that required synchronous onlinemeetings help keep students engaged and on track, an online chat forum (especially with a TApresent) enables a level of student engagement usually not found in in-person classes, and qualityonline interactive content is highly effective (more so than videos). Readers interested in a shortdemo video of how we run our online course can refer to [17] (full video [18]). In the pastseveral years, we have assisted several other universities to create new online courses modeledafter our course, in some cases simply cloning our entire course for an instructor to step into andteach at their school. We plan to continually

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kenneth Reid, Virginia Tech; Max Mikel-Stites, Virginia Tech

Tagged Divisions

Computers in Education

,process, or system. 1. Develop a plan of study for your undergraduate career 2. Articulate holistic issues that impact engineering solutions 3. Solve problems using systematic engineering approaches and tools 4. Model an engineering system 5. Synthesize information from several sources 6. Communicate information effectively 7. Contribute effectively to an engineering teamThe second course is a project-based course. Student teams are formed, and each section has a specifiedproject. Student teams progress through an engineering design process to design and prototype a deviceaccording to their section. Foundations of Engineering (2) (ENGE 1216) course objectives are as follows:Foundations of Engineering (2): As a

Conference Session

Instrumentation and Laboratory Systems

Collection

2007 Annual Conference & Exposition

Authors

Jon Sticklen, Michigan State University; Daina Briedis, Michigan State University; Mark Urban-Lurain, Michigan State University; Timothy Hinds, Michigan State University

Tagged Divisions

Computers in Education

spite of effective projects funded byNSF, its partner agencies, industry and postsecondary institutions, challenges remain in creatingand institutionalizing reform initiatives to enhance learning outcomes in science, technology, Page 12.1587.6engineering, and mathematics (STEM) fields.There are several reasons for this apparent lack of adaptation. An experience to attempt change atMIT is instructive. The MIT Department of Aeronautics and Astronautics incorporated activelearning strategies and assessment tools into their Unified Engineering course after a two-yearstrategic planning process that involved all faculty in the department.7 As they

Conference Session

Computer Tools for Education

Collection

2007 Annual Conference & Exposition

Authors

Vinod Lohani, Virginia Tech; Ricky Castles, Virginia Tech; Jenny Lo, Virginia Tech; Odis Griffin, Virginia Tech

Tagged Divisions

Computers in Education

paper describes integration of Tablet PCs into a required first semester freshman yearengineering course called EngE 1024, "Engineering Exploration." Assessment results from in-class clicker-based responses and online course exit surveys are presented to assess theeffectiveness of Tablet PC-based instruction. Problems encountered and plans for futureenhancements are also briefly discussed. A summary table showing Tablet PC related instructionactivities in various other academic programs is also presented.2. EngE 1024, Engineering Exploration – BackgroundEngineering freshmen at COE are required to pass two freshman engineering courses duringtheir 1-year long freshman engineering (also called General Engineering (GE)) program. Thefirst course is

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Man Wang, Michigan Technological University; Jun Tao, Michigan Technological University; Chaoli Wang, Michigan Technological University; Ching-Kuang Shene, Michigan Technological University; Seung Hyun Kim, Michigan Technological University

Tagged Divisions

Computers in Education

FlowVisual, along with tutorialand evaluation materials online at http://www.cs.mtu.edu/~chaoliw/2dflowvis.html. This willprovide other instructors with a useful teaching aid, allowing them to revise their curricula andteaching practices. Due to its simplicity of operation, we plan to further develop a tablet versionof this tool for use at museums, science centers and similar institutions to develop exhibits inscience and engineering.AcknowledgementsThis work was supported in part by the Dave House Family Foundation and the U.S. NationalScience Foundation through grants IIS-1017935, DUE-1105047, and CNS-1229297. The 2Dflow data used in this work are slices extracted from a 3D hurricane simulation data set. Wethank all students who participated in

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Dan Cernusca, Missouri University of Science & Technology; Clayton E Price, Missouri University of Science and Technology

Tagged Divisions

Computers in Education

Education, Office of Planning, Evaluation, and Policy Development. “Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies”, Washington, D.C., 2009 Page 23.268.1320. Wood, R.E. “Task Complexity: Definition of the Construct”, Organizational Behavior and Human Decision Processes, 37, 1986, pp. 60-82.21. Cernusca, D. and Carroll, D. “Integrating Online Instructional Tools in a Large Engineering Course: An Exploratory Study”. The 2008 ASEE Midwest Section Annual Meeting, Session 202 – Novel Classroom Practices - Online, Tulsa: OK.22. Boston, W.E