Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ashwin Satyanarayana, New York City College of Technology; Karen Goodlad, New York City College of Technology, CUNY; Jennifer Sears, New York City College of Technology, CUNY; Philip Kreniske, Columbia University, The HIV Center; Mery F. Diaz, New York City College of Technology; Sandra Cheng, New York City College of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

critical thinking activities. LCs first cameto our institution, City Tech, through a Title V Grant in 2000 and were adopted by the college in2005. The academic performance of students participating in LCs at City Tech reflects nationaltrends. When compared to the general population at the College, students in LC earn higherGPAs, have higher retention rates, and demonstrate greater satisfaction.In order to complement the community-building efforts within learning community classrooms,we, a cohort of faculty leaders and administrators of City Tech’s First Year LearningCommunities, a program offered through the college’s Office of First Year Programs, developed“Our Stories” digital writing project which extends the student’s network beyond the

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Saed Talib Amer, Khalifa University; Jaby Mohammed, Khalifa University of Science and Technology; Ali Bouabid, Khalifa University of Science and Technology

Tagged Divisions

Computers in Education

words, it is one noble practice that reflects on the society’s civility andsecurity. While it is easy to persuade people to follow the sustainability rules through guidelinesand laws, it is hard to have them believe it is the right thing to do. Some blame such fallacy onthe slow tangible consequences; i.e. if one cannot see and feel the consequences fast, all effortsare seen as waste of time [3]. Another reason to blame is the lack of clear and robust metrics toproperly measure and track sustainability which, in turn, reduces the adherence and motivation[4]. Other scholars blame the authorities for inadequate incentives to those who undertakesustainability initiatives [5]. Furthermore, following poor sustainability models lead manycompanies to

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Phyllis Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University; Christopher Archibald, Mississippi State University

Tagged Divisions

Computers in Education

writing and further clarifies and improves the understanding the source code from anoutside perspective. A second level of classification is still needed to further classify sufficientcomments into their own categories. These include conceptual, reflective, organizational andliteral comment types. This classification system is further documented in a previous work [3].2. Cleaning and Processing the DataThe data set for this investigation comes from six sections of an Introduction to Programmingcourse; two sections (section 05 and section 08) are writing-to-learn to program sections and theadditional four sections are taught using the traditional lab approach. The training set consists of761 comments with 30% randomly sampled out as the test data

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Raquel Landa, Tecnologico de Monterrey (ITESM); Lorena B. Martinez Elizalde, Tecnologico de Monterrey; Cristina Verónica Gonzalez Cordova, ITESM

Tagged Divisions

Computers in Education

being able to work in a context more similar to real life, collaborating actively with software developers to achieve a final product in common.● It was observed that, in most cases, the students of DASWMD developed music libraries much more extensive and varied than those requested (at least) by their teacher to assign a grade in the project. They showed greater interest in providing quality elements for the benefit of the final product than in obtaining a grade for it.● Students in general showed greater interest in performing in a better way since they reflected more commitment and felt part of a bigger project in which they were responsible for a greater job that would impact the peers of the other subjects.With regard to the

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald Erdei, University of South Carolina; Brantly Edward McCord, Purdue Polytechnic Institute; David M. Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

completeda questionnaire surveying their experiences with their current partner.During each laboratory meeting, the instructor would introduce the prescribed group assignment,then support the students as they completed the prescribed assignment. Attendance and tardinesswere recorded, as were observations made by the instructor during the course of the laboratory.After each laboratory meeting, the instructor would first reflect, then record their thoughts,impressions, and perspective on the laboratory they had just taught. As the laboratory instructorwas also the laboratory instructor for the subsequent course, Game Development II, observationswere continued for the first 4 weeks of the next class to explore the residual impact of thecollaborative

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yul Chu, University of Texas, Rio Grande Valley

Tagged Divisions

Computers in Education

results as an experience; and• Reflective observation consists of reviewing the simulation results and reflecting on how to design a cache memory with a new idea.Two steps for design-based learning:• Abstract conceptualization consists of designing a new idea by porting the code into the Simple Simulator to implement; and• Active experimentation consists of finalizing the design after analyzing the simulation results. Figure 1. Flowchart of Kolb Experiential Learning Cycles.Simulating conventional cache schemes for experience-basedlearning:The Simple Simulator’s purpose is to design and implement multi-core cache memory schemes for computer architecture labs forsenior- and/or graduate-level students. Figure 2 shows the majorsteps to

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

Computing?The future CS majors, technology makers, need to realize that the context in which technology isused must be reflected in the technology’s design - because of the ethical implications of its useand because understanding the consequences of such use helps improve the design. This insightwas included in Computing Curricula 1991 [4] and has been a part of CS Accreditation Boardcurriculum standards since 1987 [5, 6]. Thus, the social, ethical, and professional context of thetechnology was added to the core undergraduate curriculum as part of the natural evolution ofthe maturing CS discipline. However, in addition to the traditional computer ethics curriculum,which CS major students usually get exposed to during their coursework, in our

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

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

trol/intervention groups brokers ECJStarter Builds ECJ pipeline from Links BrokerEAInterface to Parson- classes evoparsons.ecj and sEvolutionState, main class of ECJ params configuration file pipeline PresetStarter Manually designed puzzles by Calls BrokerEAInterface once at start teacher Config Access to params configura- A factory for objects, creates them tion file through reflection by corresponding configurationadministration; the build-server bash script builds the EvoParsons jar, the evoparsons-server scriptis

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Osman Yasar, State University of New York, Brockport; Peter Veronesi, The College at Brockport; Jose Maliekal, The College at Brockport, SUNY; Leigh J. Little, SUNY Brockport; John W. Tillotson, Syracuse University

Tagged Divisions

Computers in Education

their classrooms. Teachers reflected on students’ developing a sense of autonomy and persistence as learners. “I can give them a question on a test pretty much for anything for the year and it's not like, "Well, this wasn't going to be on the test so this isn't fair" because they now expect that anything they've learned is fair game throughout the whole year, so that has been a huge help for me,” noted one respondent. Another teacher offered, “When I give them a test, I can put a spiral question on there and again it's not like, “Well, I'm not answering it because this wasn't on the review sheet.” And especially in math, I can give them a deeper level question where it's not a simple equation that they might have just

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

, including the positionand rotation of all devices, measuring tools, pen-strokes and buttons pressed. This deep-loggingis expected to be increasingly useful as a means for students and instructors to reflect on pastperformance, and potentially to automatically analyze real-time problem-solving behavior. Itcan also be used as an efficient way to watch a recorded lecture from an arbitrary viewingperspective, as was proposed in [13]. The whiteboard diagrams and writing could also be savedas artifacts of the analysis.5. Pilot StudyThough presented above as a sequential process, in truth, the hardware, user interface, andapplication were developed together, largely in parallel from an initial idea that collaboration anddrawing were important for real

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yamuna Rajasekhar, zyBooks; Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

randomization.Figure 2: (a) Student shown timing diagram for inputs s and r, then enters output q. (b) Student'ssubmission is incorrect; activity shows correct values for q and explains how an SR latch works.Often, the students are comfortable with how gates work due to covering combinational circuitsbefore this topic, but the introduction of a ​latch​ (or storage) is different, and takes some practicebefore the students can master the concept. The numbers in Table 2 clearly reflect this. Asshown, the first-time wrong percentage is 74% for level 1, but drops to 17% for level 2.Similarly, the gave up percentage is 3.92% for level one but reduces to 0.21% for level 2.Table 2: Metrics for both levels are shown, indicating students tended to require a few

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Krista M. Kecskemety, Ohio State University; Kadri Akinola Akanni Parris, Ohio State University; Nicholas Rees Sattele, Ohio State University

Tagged Divisions

Computers in Education

Autumn 2018, bothcontained the same question regarding the number of hours spent using the textbook. In Autumn2017, students were still using the paper textbook. However, students were asked the samequestion in Autumn 2018, after the implementation of the zyBooks e-bookAs seen in Table 3, student usage of the textbook increased by an average of roughly 30 minutesper week after the implementation of the use of the zyBooks e-book. Given the course averageremained relatively constant, as seen in Figure 4, even though students spent more time workingon their textbook, their grade did not reflect an obvious change. Table 3: Averages of Student Self-Reported Textbook Reading

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, University of Texas, Rio Grande Valley; Ala Qubbaj, University of Texas, Rio Grande Valley; Liyu Zhang, University of Texas Rio Grande Valley; Fitratullah Khan, The University of Texas Rio Grande Valley; Hansheng Lei

Tagged Divisions

Computers in Education

ersupdate.pdf. May (2012).[2]. Oblinger DG, Barone CA, Hawkins BL. (2001). Distributed education and its challenges: An overview. Washington, DC: American Council on Education[3]. A Stella, A Gnanam, “Quality assurance in distance education: The challenges to be addressed,” Higher education, 2004 – Springer[4]. Martha May Tevis, “Reflections on the Termination of Two Universities and the Creation of a New University,” Journal of Philosophy & History of Education, vol. 65, no. 1, 2015, pp. 109–122[5]. Bonwell, C., and Eison, J. Active Learning: Creating Excitement in the Classroom. ASHE- ERIC Higher Education Report 1, 1991.[6]. Quweider, MK and Khan, Fitra “Implementing a Challenge-based Approach to Teaching Computer

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Stephen W. Crown, University of Texas, Rio Grande Valley; Constantine Tarawneh, University of Texas Rio Grande Valley

Tagged Divisions

Computers in Education

coincidewith the thermodynamics course. The opportunity to see it applied in another course may havepiqued their interest. User's Survey (n = 92) 2 1.5 1 0.5 0 -0.5 -1 -1.5 -2 EASY-TO-USE HOMEWORK NOZZLES HANDOUT ENGINEERING Questions from user's perspective Excel LabView MatLab SciLab Web PageFigure 9: Survey results related to user experience (evaluation of other groups)The survey gave students the opportunity to add additional comments about the project. Arepresentative sample of the feedback is listed in Table 2. The comments reflect many of thesame results already

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Otto Borchert, Missouri Southern State University; Abigail Byram, Virginia Commonwealth University; Debra Mardell Duke, Virginia Commonwealth University; Alex David Radermacher, North Dakota State University; Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University

Tagged Divisions

Computers in Education

learning objects in other languages and development environments as we findmore collaborators.Another issue with the current version of SEP-CyLE is that students who are using thecollaborative learning engagement strategy aren’t actually collaborating. They are completingthe same problems individually and their group score reflects how many quiz questions eachperson gets right. One enhancement might be creating a system that would require them to workcollaboratively to solve a more complicated problem or to engage in other activities such asreviewing each other’s code.Another problem is the lack of an integrated IDE within SEP-CyLE. We would like to see theability to have students work on small code problems (or eventually entire

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shaya Wolf, University of Wyoming; Fiona P. Moss, University of Wyoming; Rasana Manandhar, University of Wyoming; Madison Cooley, University of Wyoming; Rafer Cooley, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, University of Wyoming

Tagged Divisions

Computers in Education

National Science Foundation (NSF) and National Security Agency(NSA) GenCyber Award #H98230-18-1-0095 (called GenCyber:COWPOKES); 2) The NSF NoyceGrant No 1339853 (called SWARMS); and 3) The US federal Math and Science Partnership grantunder No Child Left Behind (NCLB) (P.L.107F110, Title II, Part B) administered by the WyomingDepartment of Education MSP Grant No. 1601506MSPA2 (called RAMPED). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the NSF, the NSA, or the U.S. government.This work was completed with the help of students from the University of Wyoming through thedirection of the College of Engineering’s CEDAR (Cybersecurity EDucation

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

manager’s blog [20]reported US$3.98 per LoC for a traditional programming design team that he personally servedas the design architect and manager. Several other studies [19] report software development costsranging from $5-100 per LoC. Lines of Code written per student 2500 2000 1500 LoC 1000 500 0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 YearFigure 2: Average student output for a semester-long effort for 2007-2019Changes in the course’s design requirements are reflected in Figure 2. For example, the designrequirements changed only

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Leila Zahedi, Florida International University; Monique S Ross, Florida International University; Jasmine Skye Batten, Florida International University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

al., 2015). Yet, about 500,000computing positions remain vacant in the US ("The state of K-12 computer science", 2016), andmany nations need more computer scientists. Therefore, the underrepresentation of women incomputer science is an important topic that has begun to garner university program’s attention.This shortage of computer scientists has prompted the computing community and educationresearchers to be more reflective about current practices in order to try to attract and retain morestudents, especially women, to keep pace with industry demands. As such, researchers haveexplored various engagement strategies in the field of computer science. One of the strategies withincreased attention in the last two decades is the idea of

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hieu-Trung Le, George Mason University; Aditya Johri, George Mason University; Aqdas Malik, George Mason University

Tagged Divisions

Computers in Education