Conference Session

Computing and Information Technology Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Cheryl Lynn Resch, University of Florida; Christina Gardner McCune, University of Florida ; Amanpreet Kapoor, University of Florida

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Computing and Information Technology

received his M.S. in Computer Science from the University of Florida in 2016 and a B. Tech. in Computer Science & Engineering from Jaypee University of Engineering and Technology, India in 2015. American c Society for Engineering Education, 2021 Reflection and Transformational Learning in a Data Structures and Algorithms ClassAbstractReflective practice is the process of using one’s beliefs and prior experiences to analyze a problem;it is making meaning from experience. The process starts with noticing and naming the problem,continues to analyzing the problem, and finishes with forming new beliefs in order to solve theproblem. Reflective

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Irini Spyridakis, University of Washington

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Diversity

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Computing and Information Technology

) communicating effectively, (4) recognizing ethical andprofessional responsibilities and considering the impact of engineering solutions, (5) functioningon a team in an inclusive environment, (6) analyzing and interpreting data, and (7) acquiring andapplying new knowledge [10].This paper describes the course module activities that help students succeed in completing theresearch report, the components of the research report, and grading checklists used by studentsfor creating successful deliverables and by instructors for grading guidance. This paper alsodescribes the assessment of students’ reports and student feedback in a reflection assignment.The paper ends with a discussion and conclusions.The Cross-Cultural Design Module and Cross-Cultural UI

Conference Session

Computing and Information Technology Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Stephany Coffman-Wolph, Ohio Northern University

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Diversity

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Computing and Information Technology

Work-in-Progress: Engaging First-Year Students in Programming 1 During COVID-19AbstractDuring the Fall 2020 semester, it became even more important than before to engage students inthe “classroom” whether that be in-person, online, or a hybrid model. This paper will introducevarious entrepreneurial mindset (EM) techniques to engage students that could be adapted to anyengineering course. All the techniques have suggestions for adapting to a fully online course aswell as working for an in-person or hybrid class. The first activity presented will be name signswith badges that will promote (1) setting, evaluating, and achieving goals, (2) self-reflection, (3)considering a problem from multiple viewpoints, and (4

Conference Session

Computing and Information Technology Division Technical Session 5

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mohsen M. Dorodchi, University of North Carolina at Charlotte; Alexandria Benedict, University of North Carolina at Charlotte; Audrey Rorrer; David K. Pugalee, University of North Carolina at Charlotte; Lijuan Cao, University of North Carolina Charlotte

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Diversity

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Computing and Information Technology

into the school curriculum necessitates changes in policyincluding addressing significant issues around infrastructure, and providing teachers the resourcesthat develop a cogent understanding of computational thinking as well as relevant and appropriateexemplars of age appropriate cases [6]. Such focus would promote core concepts essential toeffective computational thinking development such as designing solutions to problems throughabstraction, automation, algorithmic thinking, data collection and data analysis; implementingdesigns; testing and debugging; modeling, running simulations, conducting systems analysis;reflecting on processes and communicating ideas; recognizing abstraction and moving betweenlevels; innovation, exploration and

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Abdullah Azzouni, Oregon State University; Jennifer Parham-Mocello, Oregon State University

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Computing and Information Technology

GRAM model to continuously improve faculty pedagogyin their own discipline by integrating their own expertise into the institution’s pedagogical goals[28]. Another proposal is for teachers to simply reflect on their experience in the class andidentify areas for improvement [33]. Zahraee et al. adds more structure to this approach byasking faculty members to set their own goals and then reflect on their performance meetingthose goals over the last year [6].Three more situation-specific professional development aspects of faculty CI are also addressed:accreditation, quality management, and curriculum design [24]. Faculty’s training to effectivelyperform and complete accreditation-related tasks and activities is relevant for those programsthat

Conference Session

Computing and Information Technology Division Technical Session 8

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Afsaneh Minaie, Utah Valley University; Justin Limb; Reza Sanati-Mehrizy, Utah Valley University

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Computing and Information Technology

alsoincludes a push-button to manually open and close the mandibles. The transmitter includes fourother momentary push-button switches that are used for various functions: • Yellow - alternating among operational modes (auto, manual walk, and manual head), and acknowledging messages the robot sends to the LCD • Green – sends a command to the robot to perform a dance • Blue – sends a command to the robot to go into pre-attack mode by crouching down and opening mandibles as a warning to the intruder of a potential attack • Red – sends a command to the robot to go into full attack mode by leaping forward towards the intruder to bite (body changes red to reflect

Conference Session

Computing and Information Technology Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ida B. Ngambeki, Purdue University, West Lafayette; Marcus Rogers, Purdue University, West Lafayette; Sienna Jasmine Bates, Purdue University, West Lafayette; Megan Celeste Piper

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Diversity

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Computing and Information Technology

Conference Session

Computing and Information Technology Division Technical Session 8

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Zhijiang Dong, Middle Tennessee State University; Joshua Lee Phillips, Middle Tennessee State University; Eric Oslund, Middle Tennessee State University; Chrisila Pettey, Middle Tennessee State University; Catherine E. Brawner, Research Triangle Educational Consultants

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Diversity

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Computing and Information Technology

(UndergraduateResearch Experience and Creative Activity) program to work on an extension to the summerresearch project during the academic year. Four participants from summer 2020 received a teamURECA grant ($4000) to continue working on an extension of their summer project for the2020-2021 academic year. While these post-summer activities were encouraging, they wereperformed by non-scholars and therefore may not be reflective of the potential positive impact ofthe summer research program on S-STEM scholars.4.3 Conference AttendanceSending college students, especially underrepresented students, to attend a professionalconference like the Grace Hopper Celebration of Women in Computing and the Richard TapiaCelebration of Diversity in Computing has become more and

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Peng Li, East Carolina University

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Diversity

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Computing and Information Technology

, no. 1 (2009): 4-10.[4] P. Li, "Virtual lab approaches for information and computer technology education," In OnlineLearning for STEM Subjects: International Examples of Technologies and Pedagogies in Use,M. Childs and R. Soetanto, Ed. Routledge, 2017, pp. 112-126.[5] K. M. Ala-Mutka, “A survey of automated assessment approaches for programmingassignments,” Computer Science Education, 15(2), pp. 83-102, 2005.[6] D. Kumar, "REFLECTIONS Tools from the education industry," ACM Inroads 9, no. 3, pp.22-24, 2018.[7] P. Li and L. Toderick, ”An Automatic Grading and Feedback System for E-Learning inInformation Technology Education,” Proceedings of 2015 ASEE Annual Conference &Exposition, Seattle, Washington. 10.18260/p.23518.[8] E. F. Gehringer

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Michael Porter, Alabama A&M University; Ralph (Phil) Bording, Alabama A&M University; Yujian Fu P.E., Alabama A&M University

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Computing and Information Technology

regarding the project is shown in Table III below. Table III. Project Evaluation Regarding The Learning Objectives O1. Master the fundamental concepts of OO design and syntax of (four) UML models The classes are identified with correct attributes, and operations and defined in correct UML notations. The class model was developed with correct relations. All states were properly defined and captured the key observable transitions. Sequence of functions were identified in the proper use cases and reflected in the related scenarios. Control flow was modeled with correct activities and execution sequences are captured in the activity diagram. O2. Understand and implement the modeling skills with the instructions. Each element as well as

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jia Zhu, Florida International University; Leila Zahedi, Florida International University; Monique S. Ross, Florida International University

Tagged Divisions

Computing and Information Technology

with the extracted strategic directions to determine whether there is a mismatchbetween CSER’s research foci and the strategic directions with the academic publications. Theauthors of the papers often selected the publication keywords based on their work knowledge,mainly using generic terms as they reflect a rough overview of a scientific discipline or representpopular themes [3]. To investigate whether the keywords chosen by authors align with the topicsrepresented through the paper abstracts, we explored the NLP technique named Term Frequency-Inverse Document Frequency (tf-idf).Tf-idf [45] is a method that identifies important terms by the product of two statistics, term fre-quency and inverse document frequency. It is intended to reflect

Conference Session

Computing and Information Technology Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ben Ralph Bernard, North Dakota State University; Jeremy Straub, North Dakota State University

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Computing and Information Technology

response withintwenty-four hours. Students who choose the asynchronous online learning model may feeldisconnected from the campus environment and thus may particularly appreciate a quickresponse from their instructor.Learning ObjectivesKey learning objectives for the HyFlex version of CSCI 159: Computer Science ProblemSolving were for students to learn how the field of Computer Science applies quantitativereasoning to analyze data, create algorithms, and solve challenging problems.The course was divided into four modules. Students first learned the fundamentals ofinformation systems and network infrastructure with assigned readings and facilitated discussionboard reflections on their use and impact [21]. Learners defined and described

Conference Session

Computing and Information Technology Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Stephanie J. Lunn, Florida International University; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A. Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University

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Diversity

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Computing and Information Technology

, job candidates find them “subjective, arbitrary,unnecessarily stressful, non-inclusive –and at times– demeaning to their sense of self-worth andself-efficacy” [25]. Furthermore, candidates expressed concerns about the amount of timepreparation required, and the inherent bias that may give those with more free time an advantage.Others commented that the types of questions asked, and knowledge of data structures expectedto be known extemporaneously is not reflective of the tasks actually encountered in a computingposition.While these findings indeed revealed major concerns, the research did not consider the nuancesthat may arise from individual differences [11, 25]. On HackerRank, 95% of users were male, andthere was no information about the

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Bonnie Achee, Southeastern Louisiana University

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Diversity

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Computing and Information Technology

. videos, virtual tours, websites) were offered surrounding that themeand awarded badges for participation/viewing, thus adding another element of gamification.Numerous questions in the CTF reflected the content offered. The CTF opened each day uponthe completion of the synchronous component and remained open until midnight. Figure 2 Sample Capture The Flag (CTF) CluesSynchronous DeliveryThe focus of the synchronous portion of the camp was to immerse the students in a “real world”simulation of a cyber crime there by introducing the concept of cyber security and developingthe skills of research and analysis, critical thinking, teamwork and written and oralcommunication which are

Conference Session

Computing and Information Technology Division Technical Session 8

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Stephanie J. Lunn, Florida International University; Monique S. Ross, Florida International University

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Diversity

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Computing and Information Technology

, rather than having to immediately solvein a more “public” fashion. Also, candidates may prefer explaining problems with a pencil on thepaper or on a computer using an integrated development environment. Next, they suggested usingproblems actually encountered at the company, since many puzzles are not reflective of real-worldsituations. Such tasks are seen as giving an unfair advantage to candidates just out of school.Finally, they propose problem solving “as colleagues, not as examiners” a recommendation whichhighlights that rather than an intense interrogation the process should be balanced, and shouldinvolve working together to solve issues, and that this could even be accomplished with other“potential teammates.”In addition to the two

Conference Session

Computing and Information Technology Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Geraghty Anne Ellis, Georgia Institute of Technology; Nicholas Mulka, Georgia Institute of Technology; Amit Shashikant Jariwala, Georgia Institute of Technology

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Diversity

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Computing and Information Technology

. Additionally,because each platform implements rapid development methodologies differently, there can beinconsistencies and some expected feature sets do not always come out-of-the-box (OOTB) [11].RAD is most prevalently used in commercial applications because projects are “schedule intenseand require amalgamate set of team members” [9]. These requirements are the same for capstonedesign courses [2], [3] and research-centric projects. Further research suggests that whenpresented with the same set of independent software variables to examine, student developers’analysis is statistically similar to that of professional industry developers [12], indicating thatstudent behavior is reflective of developer behavior in industry. These parallelisms suggest

Conference Session

Computing and Information Technology Division Technical Session 6

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sami N. Rollins, University of San Francisco; Alark Joshi, University of San Francisco; Xornam Apedoe, University of San Francisco; Sophie Engle, University of San Francisco; Matthew Malensek; Gian Bruno, University of San Francisco

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Diversity

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Computing and Information Technology

detailed exploration of student perceptions of the questionsacross the two instruments. We will continue to administer both instruments annually tounderstand students’ long-term trajectories and identify which factors have the greatest impact ondevelopment of identity. By better understanding identity development, we can work to improvepersistence in computing programs.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.1833718. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References [1] G. Kena, L. Musu-Gillette, J. Robinson, X. Wang, A. Rathbun, J

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Leslie Harvey III, University of Florida; Ashish Aggarwal, University of Florida

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Computing and Information Technology

ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’18. New York, NY, USA: Association for Computing Machinery, 2018, p. 922–927. [Online]. Available: https://doi.org/10.1145/3159450.3159585 [9] D. Horton, M. Craig, J. Campbell, P. Gries, and D. Zingaro, “Comparing outcomes in inverted and traditional cs1,” in Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education, ser. ITiCSE ’14. New York, NY, USA: Association for Computing Machinery, 2014, p. 261–266. [Online]. Available: https: //doi.org/10.1145/2591708.2591752[10] M. N. Giannakos, J. Krogstie, and N. Chrisochoides, “Reviewing the flipped classroom research: Reflections for computer science education,” in

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Alberto Cureg Cruz, California State University, Bakersfield; Antonio-Angel L. Medel, California State University Bakersfield; Anthony Chistoper Bianchi, California State University, Bakersfield; Vincent Wong On, California State University, Bakersfield; Melissa Danforth, California State University, Bakersfield

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Computing and Information Technology

’ Satisfaction and Academic Performance (GPA)? The Case of a Mid-Sized Public University,” Int. J. Bus. Adm., vol. 5, no. 2, pp. 1–10, 2014.[12] R. Darolia, “Working (and studying) day and night: Heterogeneous effects of working on the academic performance of full-time and part-time students,” Econ. Educ. Rev., vol. 38, pp. 38–50, 2014.[13] M. E. Canabal, “College student degree of participation in the labor force: Determinants and relationship to school performance.,” Coll. Stud. J., vol. 32, no. 4, pp. 597–605, 1998.[14] M. N. Giannakos, J. Krogstie, and N. Chrisochoides, “Reviewing the flipped classroom research: Reflections for computer science education,” Proc. - CSERC 2014 Comput. Sci. Educ. Res. Conf., pp

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Elizabeth Milonas, New York City College of Technology; Duo Li, Shenyang City University; Qiping Zhang, Long Island University

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Computing and Information Technology

thinking, data modeling, communication, reproducibility and ethics [11]. In a similar study [13], researchers monitored trends across Europe in order to assess thedemands for particular Data Science skills and expertise. They [13] used automated tools for theextraction of Data Science job posts as well as interviews with Data Science practitioners. Thegoal of the study [13] was to find the best practices for designing Data Science curriculum whichinclude; industry aligned, use of industry standard tools, use of real data, transferable skill set,and concise learning goals. The best practices for delivery of Data Science Curriculum includemultimodality, multi-platform, reusable, cutting-edge quality, reflective and quantified, andhands-on. In