the need for developing skills inCybersecurity. Though many Universities offer a master’s degree in Cybersecurity, it isimpractical to fill this huge demand for Cybersecurity through only graduate degree holders.After careful analysis, it has become evident that there is a gap in the curriculum as it relates totraining for Cybersecurity concepts in foundational computing courses for students. To be morespecific, there is relatively less focus on the infusion of Cybersecurity concepts in undergraduatecomputing courses and its impact on classroom practices. This paper serves to address this gapby providing an experience in infusing, teaching, and assessing Cybersecurity modules in variousundergraduate computing courses that immerse students in
ofcompetencies, even though they are not listed in the revised version[9].The NICE Framework was developed from some of the earlier attempts in the US to develop aminimum foundation that CSEC professionals graduating from an academic program shouldhave. An example here is the NSA Centers for Academic Excellence (CAE) in InformationSecurity that focused more on the theoretical aspects of CSEC and not much on the skills andabilities [10]. The next large-scale effort was more international and was spearheaded by theIEEE-CS and ACM and produced the Joint Task Force on Cybersecurity EducationCybersecurity Curriculum Guidelines for Post-Secondary Degree Programs in Cybersecurity(CSEC 2017). But here again, workforce development was not a large focus (if any
computer engineeringprogram at Utah Valley University (UVU) conclude their degree programs with a semestercapstone design experience. The intent is for students to utilize competencies developed in thefirst three years of the curriculum in the solution of an embedded design problem.Educational excellence requires exposing students to the current edge of research. To ensure thatstudent projects are along the same trajectory that the industry is moving, educators mustcontinually introduce emerging techniques, practices, and applications into the curriculum. Thefield of haptics is growing rapidly, and there is increasing interest in providingundergraduate students with a foundation in the area. It is crucial that the emerging field ofhaptics
coursetechniques to integrate these six skills into a more virtual learning experience using varioushands-on activities both individually and as a group. This paper shares techniques for faculty tobe more innovative as we live in the new "normal" with an increase in hybrid and online courses.Each activity is designed to not only cement a programming skill (or skills) but integrate EMskills with special attention to making connections between abstract programming concepts andthe real-world examples to help ground those concepts for all students and allow students tounleash their creativity. These techniques introduce (1) gamification, (2) students taking controlof their learning, and (3) encouragement of creativity which will hopefully spark their
standard undergraduate courses). Students who successfullycomplete this course are able to build computational solutions to problems using existing ideasand artifacts in an interdisciplinary domain, to work in a collaborative project setting, and topresent the result of their work both orally and in writing. It is largely the capstone project thatdistinguishes the coordinate major from a minor.This area of application of student’s studies in computer science is usually this student’s primarymajor. However, any subject in which a student has completed extensive course work (or obtainedequivalent experience) can serve as the area of application. If a student completes a capstoneproject in their primary major, CS capstone may form an integral part of
, 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
componentsidentified in this paper include curriculum, faculty, course, administration, research, advising,facilities, and support staff, and from the reviewed papers, the largest number of componentscovered in a single comprehensive CI plan was six. To highlight the disparity of coverage ofthese CI components within the contexts of academic computing programs, we use a literaturereview to present the documented interactions among components, frequency of interactions, andsharing of data between those components. Curriculum, faculty, and course CI are discussed themost and are the most tightly integrated either by being studied together or by sharing data. Incontrast, facilities, research, advising, and support staff are covered the least in the literature
database.IntroductionDatabase is a collection of data that organizations and businesses may use frequently. It is veryimportant that this date be valid and consistent as organizations and businesses’ life depends onthis data. To ensure the integrity and consistency of data in a database, the database designers needto consider many rules called business rules or constraints. This is done mainly by action assertionstraditionally implemented in procedural logic buried deeply within user’s application program ina form that is virtually unrecognizable, unmanageable, and inconsistent. This approach places aheavy burden on the programmer, who must know all the constraints that an action may violateand must include checks for each of these constraints. An omission
practice is an important skill for computing students to master; responding toreflection prompts can aid students in developing problem solving skills. However, there is limitedempirical evidence on the effectiveness of reflective practice in Data Structures courses, in whichcomputing students are honing problem-solving skills. To fill this gap, we evaluate theeffectiveness of assigning guided reflection prompts with programming assignments in anundergraduate Data Structures course in encouraging students to articulate their problem-solvingstrategies. 219 students completed two programming assignments and were asked to respond toreflection prompts after each. Students’ responses were (1) analyzed for word and sentence countas a measure of
]. Big Data growth has accelerated thedevelopment of new smart technologies that can support the unique demands of big data. Smarttechnologies such as MapReduce/Hadoop, Spark, NoSQL, data virtualization, data lake, cloudcomputing, Artificial Intelligence (AI), Natural Language Processing (NLP) and MachineLearning (ML) have an impact on our daily lives and will continue to be an integral part of ourfuture [3]. They have transformed the way we practice medicine, communicate, processinformation and make business decisions [1]. The use of smart technologies are evident in manydomains including retail, finance, medical, engineering, government, penal, social media andcomputing [1] , [3]. Together Big Data and new smart technologies have given rise to
; and an understanding of the complex societal, global, andprofessional contexts in which engineering is practiced” [4]. ABET’s accreditation standardsrecognize the fundamental importance of these skills, many of which are learning outcomestied to the humanities.Finally, this exercise introduces the story of Ada Lovelace as a female role model and founder ofcomputer science. Psychologist Penelope Lockwood’s suggests that women benefit fromoutstanding female role models more so than men, for whom the gender of the role modeldoes not have an impact [19]. We therefore suggest that using Ada Lovelace as an historicalrole model in engineering curriculum can help engineering and science students revise
“ innovative curriculum.”Choosing specific keywords with more semantic meanings can be a double-edged sword. It mighthurt publication’s visibility, as suggested by the STP framework, unless the exact and specificterms are used in the scholarly literature search by the pertinent audience. To investigate this issuein the future, an in-depth nuanced analysis will be necessary and helpful. One approach to furtherthis work is to generate semantic-based clustering keyword lists. We also believe that manuallycoding keywords list into groups with related themes will benefit the nuanced analysis to evaluatefurther and validate the research foci.As to the keywords extraction from the abstracts, similar semantic-based issues remain. The cur-rent results reported
; • Potentially violate academic integrity by using paid-resources or soliciting help from online forums; and • Simultaneously enroll in an online school or MOOC of the same curriculum while enrolled in a face-to-face class.The high tech classroom and taped lectures are no longer unique to the FC model. If notfacilitated by the instructor, students will structure their learning in an online environment.Instructors should provide these resources to all class models to ensure that students are usinghigh quality material and not paying for it out of pocket—a significant concern for universitieswith low-income students. For example, instructors can provide recordings of modeledexamples, so students do not feel
Paper ID #33383Broadening the Middle School Computational Thinking Interventions Be-yondBlock ProgrammingDr. Mohsen M. Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 30 years of which 20 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 20 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM
Networking Networking Women community since 2010, serving as mentor, fellowship co-chair, and workshop co-chair She was co-chair of the board of Networking Networking Women from 2016-2018.Prof. Alark Joshi, University of San Francisco Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco. He was a co-PI on the IDoCode project at Boise State University that provided teacher train- ing, curriculum development, and policy changes in the State Board of Education in the state of Idaho. Currently, he is a co-PI on the S-STEM proposal focused on engaging students in the local community to enable successful outcomes for them with respect to increased self-identity, better
Paper ID #34812Private Platform for Teaching Blockchain at the Undergraduate LevelDr. Emil H Salib, James Madison University Professor in the College of Integrated Science and Engineering at James Madison University. Current Teaching - Networking & Security, Introductory Programming and Cross Platform Mobile Application Development. Current Research - Private Cloud Computing, Private Cellular Networking & Security, Mobile IPv6 and Design for Motivation Curriculum. American c Society for Engineering Education, 2021 Private Platform for
well.Notably, innovation in HyFlex education is occurring in multiple areas. Leijon and Lundgren[22] have performed work on interconnecting between the physical course instruction locationand “virtual spaces” to focus in creating interaction opportunities between students and theinstructor. Keiper, et al. [23] have experimented with HyFlex integration of the pre-existingFlipGrid. Beatty [24] has proposed the use of HyFlex as a transitional approach to fully onlineinstruction. An urgent need for flexibility and transition capability was created by the COVID-19 pandemic [25], though many universities were moving towards offering partially or fullyonline programs prior to the pandemic.Several studies have assessed the HyFlex model, Kyei-Blankson [26