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

engineering) 2. Developing and using models 3. Planning and carrying out investigations 4. Analyzing and interpreting data 5. Using mathematics and computational thinking 6. Constructing explanations (for science) and designing solutions (for engineering) 7. Engaging in argument from evidence 8. Obtaining, evaluating, and communicating informationThere are many similarities between the practices of scientists and engineers – e.g., both includeusing computational tools to test scientific theories and predict outcomes of engineering designs.While new technologies and pedagogies now afford us many opportunities to cultivate students’S&E habits of mind,4,5,18 developing novel approaches to integrate

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tim Foutz P.E., University of Georgia; ChanMin Kim, Penn State University; Tugba Boz, University of Georgia; Cory Gleasman, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

only some students. One step toward achieving this objectiveis the development of a prototype course available to undergraduates enrolled in educationprograms. During the first phase of our current project, the research team developed thisprototype course, called the CALC course herein. This course is based on our initial ideas of howcollective argumentation can be used to teach students how to code. This course was offered topracticing teachers during the 2018 spring semester, and the aim was to determine how theseteachers would use collective argumentation to learn how to code and what lesson plans theywould develop to teach their students how to code. This paper discusses the initial phase of thecourse and the knowledge, either existing or

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nina Schiffeler, IMA - RWTH Aachen University; Valerie Stehling, RWTH Aachen University; Frank Hees, Cybernetics Lab IMA & IfU; Ingrid Isenhardt

Tagged Divisions

Computers in Education

whenthe presentation and, thus, end of the role-play approach. The non-AR team uses the verbalcommunication (e.g. in the introductory round and first planning phase) particularly duringthe conception phase of the shared apartment’s model in order to discuss who takes whichtask in order to meet all the requirements given. The AR team, in opposition, does not useverbal communication for conceptualising their model of the shared apartment, butimmediately takes the tablets with the AR app into usage.When comparing the timestamps creating different phases of the collaboration, it is identifiedfrom the given data that the process divides into three phases for both teams that, however,differ in their length and contents: the first phase for the non-AR

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

collaborative learning) enabled. Another sectionwas given access to the website with all of these features disabled. In the other two sections, onlygamification and only social interaction were enabled, respectively.The sequence of LOs assigned throughout these sections were: Hand Tracing Sequential Code,Pair Programming, Statement Coverage, Hand Tracing Method Calls, Debugging, ProgrammingCoding Standards, Introduction to Software Testing - 1, 2, and 3, Introduction to UML, and CS1Unit Testing-1. This sequence was designed to align the LO with the material covered in class atthe time. About half of these LOs were directly related to course material, so SEP-CyLEintegrated well into the curriculum. In future semesters, we plan to develop more LOs to

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

. However, due to alack of emphasis on Computer Science, current instructors are not adequately equipped to teach suchcourses. Creating engaging lesson plans requires a comprehensive understanding of Computer Sciencetopics. Crucial to the success of legislative efforts like SF29, training K-12 teachers to understand theseconcepts and teach them effectively necessitates appropriate outreach from experienced institutions. Given the widespread use of technology, students have a basic understanding of Computer Science,but need refined programming skills to leverage this technology in their future professions. Waitingfor higher education to expose students to these concepts inhibits their potential and stunts theiracademic growth. Our summer outreach

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, New York City College of Technology; Andy Zhang, New York City College of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Computers in Education

courses of introduction level and application level. One of theprojects named RescueBot in this course can be found in Figure 7. As an unmanned vehicle,RescueBot was designed to clear the obstruction on the road. It was equipped with a gyroscope,three ultrasonic sensors, pneumatic transmission system, and pneumatic breaker. The technique ofpath management was employed to realize self-driving in which the path was planned and 126th ASEE Annual Conference and Exposition Tampa, Florida, USA, June 15 - 19, 2019 Zhang, Z., Zhang, A., Zhang, M., Esche, S. K.optimized by dealing with a straight path, circle path, and the combination of the two types ofpaths 43

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sanish Rai, West Virginia University Institute of Technology; Thomas Keith Carter; Bimarsh Sharma

Tagged Divisions

Computers in Education

convention.CONCLUSIONIn this work, NetLogo, a multi-agent based programming language was used to build a buildingenvironment and simulate occupants. A basic spatial-temporal model has been developed whereinstructors and students can interact with each other by moving around the environment space. Theinstructors and students can be added and remove from the system, and the number of occupantscan be monitored using plots in real time. In the future, we plan to expand the model in variousother applications where there is continuous agent interaction.AcknowledgementThis work used the Extreme Science and Engineering Discovery Environment (XSEDE), which issupported by National Science Foundation grant number ACI-1548562. We would like to thankXSEDE Empower program for

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

W. Davis Harbour, Louisiana Tech University; Stan Cronk, Louisiana Tech University; Nishant Shakya, Louisiana Tech University

Tagged Divisions

Computers in Education

on this project has included the creation of the server with the database and thewebserver, and the simultaneous transmission of data from four Arduino/ESP8266 module pairs.Work continues on fine tuning the database and on expanding the number and type of graphicalobjects that can be used to display the data from the database. It is our intention to introduce thisproject into one or more sections of our ENGR 122 courses in the upcoming spring quarter thatruns from March 12, 2019 through May 24, 2019. We have identified a place in the curriculumfor this course that we believe will be suitable and that occurs just after the midpoint of thequarter. There are several mechanisms that we plan to use to assess the outcomes of this project.Since one

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

planned, students in the Fall 2018 course offering completed laboratory assignmentsindependently during the first 8 weeks of course. The last 8 weeks of the course, studentscompleted laboratory assignments in pairs. Once pairing began, each week students were pairedrandomly with a new partner at the beginning of class; as before, students were never paired withthe same partner twice. Students continued to be responsible for completing individualassignments outside of the computer laboratory; however, they now had group assignmentswhich could only be completed during class and with a partner as well. Upon completion of eachweek’s group assignment, students completed a questionnaire surveying their experiences withtheir current partner.As in the

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education

, 2015, 1-8.[18] Lee, G. C. & Wu, J. C. Debug it: A debugging practicing system. Computers & Education,Elsevier, 1999, 32, 165-179.[19] Sirkiä, T. & Sorva, J. Exploring programming misconceptions: an analysis of studentmistakes in visual program simulation exercises. Proceedings of the 12th Koli CallingInternational Conference on Computing Education Research, 2012, 19-28.[20] Ebrahimi, A. Novice programmer errors: Language constructs and plan composition.International Journal of Human Computer Studies, London; San Diego: Academic Press, c1994-,1994, 41, 457-480.[21] Spohrer, J. C. & Soloway, E. Novice mistakes: Are the folk wisdoms correct?Communications of the ACM, ACM, 1986, 29, 624-632.[22] zyBooks. https://www.zybooks.com

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

areintroduced to a timer functional block that can be used in ladder logic to count inputs over a setlength of time.Instructor-Identified Advantages of the PLC-Arduino Combined Cornerstone ProjectAssessments related to the PLC implementation from student perspective(s) are not applicablesince there is no basis for student comparison to the course experience when PLCs were notutilized. In other words, course iterations in which Arduino was solely used and both Arduinoand PLCs used, respectively, were experienced by completely different cohorts. Previous studentsurveys administered upon conclusion of the course have been focused primarily on criticalthinking and teamwork development. For future course iterations, administrators plan to includestudent

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

study the grades more in depth. While the overall gradedistribution was not impacted, a future study plans to look at rubric level detail for eachassignment and exam question to see if there are any differences within specific learningobjectives that are being assessed. Additionally, course improvements as to how zyBooks isimplemented into the course will be made and assessed.References 1. Öhrn, M.A.K., van Oostrom, J.H., and van Meurs, W.L. “A comparison of Traditional Textbook and Interactive Computer Learning of Neuromuscular Block” International Anesthesia Research Society, 84: 657-661, 1997 2. Edgcomb, A.D., Vahid, F., “Effectiveness of Online Textbooks vs. Interactive web- Native Content” ASEE Conference &

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

states,” Educational Technology, vol. 47, pp. 19-22, 2007.[29] K. R. Koedinger and J. R. Anderson, J.R., “Reifying implicit planning in geometry: Guidelines formodel-based intelligent tutoring system design,” In Computers as Cognitive Tools, Hillsdale, NJ: Erlbaum,1993.[30] K. Moses, “Examining the Effects of Using a Mobile Digital Assistive Tutor for Circuit Analysis onStudents’ Academic Achievement, Problem-Solving and Self-Efficacy,” PhD Thesis, Northern IllinoisUniversity, 2019.[31] D. K. May, “Mathematics self-efficacy and anxiety questionnaire,” PhD Thesis, University of Georgia,2009.[32] S. Glynn and D. K. May, “A Mathematics Self-Efficacy Questionnaire for College Students,”University of Georgia.[33] A. Bandura, G. V. Caprara et al

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

, we describe future research plans, which includeusing unsupervised machine learning techniques to move beyond basic binary classification.1. IntroductionIn this paper, we explore the process for training two supervised machine learning classificationalgorithms to classify student code comments as sufficient or insufficient using MultinomialNaive Bayes Classifier and a Random Forest Classifier. We are classifying comments fromstudent lab submissions as part of a larger NSF funded writing-to-learn to program project inwhich we are developing a framework for allowing students to self-monitor and self-assess theirown metacognition [1,2]. Students are provided with an Integrated Development Environment(IDE) that allows the students to use

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

students in ourcourse. Through these case studies, we would also like to provide a compelling example of howtightly bound the ethical choices are to the design and implementation decisions of a mobileapplication that is developed for social good.5.1 Combating obesity in young adolescentsObesity has become a major public health issue in most countries around the world. In addition,adolescent obesity is increasing at an alarming rate all over the world. Many attempts have beenmade to address this issue that ranges from doing exercise to following a diet plan to playinggames. While the existence of the above works indicates the past and ongoing efforts to combatadolescent obesity, they are clearly not enough since it is still rising. Researchers

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Florian Schmidt, TU Berlin; Franz-Josef Schmitt, Technische Universität Berlin; Laura Boeger, TU Berlin; Arno Wilhelm-Weidner, Technische Universitaet Berlin; Nicole Torjus

Tagged Divisions

Computers in Education

teasers are suitable to transfer theinformation of the experiments as their main aim is to support the idea of student centeredprojects rather than helping the students to understand such topics in detail. For such deepunderstanding of other groups’ projects there is basically no need in the OPLChem as eachstudent group has to conduct their own newly defined project but it turned out that there is astrong need for qualitative best practice examples and ideas at the beginning of the semester tohelp the students quickly define their own project topics [11], [14].In the OPLChem the students conduct their own projects and plan their own experiments in theframework of RBL. The topics are often related to contemporary research topics in ecology

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University Northwest; Emily Hixon, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

six groups of4 (approximately) members each. The instructor meets with each team individually and discusses theirquestions and explains to them how specific questions can be clarified and improved. Although, theentire activity from start to finish is carefully monitored by the instructor with continuous feedbackand grading of team-performance, independent team work and individual responsibility are alsoemphasized. This activity can be replicated in other CGT courses as well other disciplines. The resultssuggest that it can be an effective means to strengthen CG course pedagogy. This approach willfacilitate assessment of tactile learning methods in CGT course curriculum and help with a continuous‘Course Improvement Plan’. Ultimately this

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chirantan Mahipal, University of Illinois, Urbana-Champaign; Lawrence Angrave, University of Illinois at Urbana-Champaign; Yuren Xie, University of Illinois at Urbana-Champaign; Biswadeep Chatterjee, University of Illinois, Urbana-Champaign ; Hongyu Wang, University of Illinois, Urbana-Champaign; Zhengru Qian, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

: physically active students reviewingmaterials on a treadmill, or a parent multitasking with a carried baby sending a text message, forexample. These are examples of the application of principles of Universal Design for Learning(UDL), which due to space limitations we do not discuss further. See ​[13]​ for an introduction and[14]​ for a more recent accessibility-oriented discussion. Voice control of ClassTranscribe,discussed below, is planned for later 2019.During a live lecture, there is no option to replay recently missed information. A disengagedstudent, upon hearing an interesting phrase or completing a technology-based distraction ormental break, will attempt to re-engage and reconnect with the current lecture content andcontext. The attempt to

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

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

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

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

, toincrease consumer engagement and motivation, tackling the tasks that computers find difficult andhard to plan and predict. Gamified elements in this research were points and leaderboards. Resultsshowed that the test participants found the interface interesting and easy to use. To increase therecycling rates, Berengueres et al. (2013) introduced a recycle emoticon bin which usesgamification elements to motivate participants. Rewarding gamified elements used in this projectincluded: emoticons and sounds; when users dropped PET bottles in the bin, they heard a coinsound and a happy face on the screen for one second. Research results showed that by using thegamification elements, collection rates increased by three times and users preferred to be

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Tian Tian, University of Central Florida; Shadi Sheikhfaal, University of Central Florida; Wendy Howard, University of Central Florida

Tagged Divisions

Computers in Education

technology nowadays,writing on a Tablet with a quality stylus could feel akin to their paper-and-pen counterpart. Formost problem-based STEM content, high quality screencast videos perceived as most useful bystudents depended not only on thorough planning of the recorded content, but upon careful post-editing with callouts. Of course, any awkward pauses, misspoken words, or other unwantedportions should be removed to craft a focused video that uses students’ time efficiently andsustains their retention. Furthermore, it is important to stress that rich annotations created byinstructors during pre- and post-editing can help grab students’ attention, significantly enhancevideo quality, result in deep impact, and make it a more fun experience. As shown