Structures throughObjects, 7th Edition.Table 1. Cyber Security Modules with Lessons and Chapters to Cover Modules. Chapter to Module#. Implementation Approach Cover Module Lesson(s) Ch. 2. Java 4.1 Secure Variable Understanding how to write secure variable declarations is Fundamentals Declarations critical to producing overall secure code. Ch. 2. Java 1 Integer Errors Introduced with arithmetic operations. Students must be made Fundamentals familiar with how integer/floating-point division is handled. Ch. 3. Decision 5.1 Secure Division Similar to type conversion, while dividing by zero is primarily Structures a topic to be addressed
Credentialing toRaise the Bar—subsequently renamed the Task Committee on Credentialing (TCC). The TCCwas charged to “Develop a plan identifying how ASCE can best utilize an internal credentialingprogram to validate fulfillment of the Civil Engineering Body of Knowledge (CEBOK),including a timeline for implementation, an estimated budget, and a marketing plan to promote acredentialing program(s) to members and owners [3][6].”The TCC began its work in July 2018. Also starting in July 2018 but working independently ofthe TCC, the authors of this paper supported the TCC’s work by (1) analyzing the credentialingsystem used in the medical profession and (2) using this model as the basis for a proposed civilengineering credentialing system. A draft of the
they prioritize their competing career goals? What are some actions that the candidate(s) can take to negotiate for a better offer? 4 Please share your experience or suggestions on how to achieve work-life balance. What are some strategies to achieve equal partnership at home when you are in a dual- career relationship? How should one entice, encourage, or even “train” a partner to become an equal partner at home? From your personal experience, can you offer any tips on starting/expanding a family in regard to the tenure clock? 5 In general, what is the climate that one may expect to experience from colleagues when in a dual-career relationship? More often than not, the partner hire is perceived by colleagues as
potentially sensitive nature of the interview subject, as most participants were stillactively involved with the D3EM program. This ensured participants' privacy, while allowingthem to freely express their viewpoints. The interviews lasted between 10 to 40 minutes inlength. A similar protocol has been repeated annually since 2017; focused questions about careerpreparation were added in 2019. Interview protocol questions are listed below. 1. Currently, what are your career plans for after completing your PhD? 2. How do you think your D3EM training is preparing you for that career path? 3. When you were not on D3EM funding, were you completing a research assistantship or other funding? Did that experience(s) provide
mentioned areas that allowed opportunities to be inclusive. Inside theclassroom, there were opportunities to create an inclusive environment by how the educatorsinteracted with students and how they conducted themselves when students were present andteaching was in action. Finally, educators also talked about what things they thought about orconsidered (mindsets), similar to Integrity of practice, in that educators had a reason for theirpractices [4] when doing any preparation or working with students. Practices are found in Table1 with the following codes: ● CS- Inside Classroom- with Students ● CE- Inside Classroom- by Educators ● OC- Outside the Classroom ● IP- Integrity
administered. Each survey took approximately 15 minutes tocomplete. Validated constructs were used when possible. Specifically, the “teamwork andcollaboration skills” and “intent to persist” constructs demonstrated good internal consistencywhen previously validated in middle school samples, with Cronbach’s alphas of 0.88 and 0.86,respectively [7], [21]. Table 1 provides further information on the subscales used in the pre-postsurvey.Table 1: Pre-Post Survey Subscales Number Subscale Source of Items Example Item(s) Response Format “How confident do you feel designing a prototype 4
eighth grade, ANSEP student datacompared to national student data.*Nord, C., Roey, S., Perkins, R., Lyons, M., Lemanski, N., Brown, J., and Schuknecht, J. (2011). The Nation’sReport Card: America’s High School Graduates (NCES 2011-462). U.S. Department of Education, National Centerfor Education Statistics. Washington, DC: U.S. Government Printing Office.On the first day of the Middle School Academy, each student assembles a top-end computer andloads the operating system and Microsoft Office software. Students then use the computers onvarious tasks related to the daily classes they take for the remainder of the Academy. Studentsattend classes that include problem solving, research, and communication skills incorporatedwith biology, chemistry
University in 2008. While in the School of Engineering Education, he works as a Graduate Research Assistant in the X-Roads Research Group and has an interest in cross-disciplinary practice and engineering identity development.Dr. Robin Adams, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University. Her research is concentrated in three interconnecting areas: cross-disciplinary thinking, acting, and be- ing; design cognition and learning; and theories of change in linking engineering education research and practice. Page 23.89.1
teams.The program is structured with student-led divisions, each with 8-20 students, a faculty orindustry mentor, and a graduate teaching assistant (TA). Each division has one or more not-for-profit agency/ies (such as a museum, government service, charity, etc.) as a communitypartner(s). The students work with their community partner(s) to identify, develop, and deliverprojects that meet the community partner’s needs. Examples of such community needs includedesigning assistive technology for people with disabilities, developing database software forhuman services agencies, and developing engaging science-educational technology forelementary students. Additional projects can be seen athttps://engineering.purdue.edu/EPICS/Projects/Teams.Assessment
instructor:1 S: ((At the same time)) Different, different angles. 162 S: A protractor sitting here. With a string with a weight on it. So as you tip it it'll that'll tell you3 what degree you're tipping it.4 T: I like that. That's nice.5 S: So that tells you what degree so we can figure that out. In this example, the students chose a catapult as their ballistic device, and are explaining how they will measure the angle of trajectory. The mathematics concept central to this discussion is how to measure angles from the vertical. The explicit integration of this concept is how the students hang a weighted string off of
necessary to make onefurther point about the practice of change that is often overlooked and that is the role ofthose in power. Very often those with the power authorise an individual(s) to makechanges but do not subsequently give them the support they need. The respondents tochange need to see that those with power support the change wholeheartedly and providethe resources for it to be brought about.20Toward curriculum changeIn general, therefore, curriculum change is more likely to be internalised when it is seen Page 15.1.6to be plausible, and planned to take place in small steps that are seen to be naturaldevelopments, one following from the other
out how this case study and other existing research impacted recruitment policies forundergraduate and community college students. Also, interviewing community collegeprofessors, administrators, and program coordinators to determine the qualities for a successfulundergraduate or community college student in the summer experience would be beneficial.Bibliography1 Community College Fact Sheet. (American Association of Community of College, 2012).2 National Science Foundation. Science and Engineering Indicators. (National Science Board, National Science Foundation, Arlington, VA, 2008).3 Goldrick-Rab, S. Challenges and Opportunities for Improving Community College Student Success. Review of Educational Research 80, 437
93.8% 37.5% 12.5% 62.5% 6.3% 12.5% 12.5%facultyGraduate 56.3% 6.3% 12.5% 0.0% 6.3% 0.0% 0.0%AssistantsUndergraduate 12.5% 25.0% 50.0% 0.0% 6.3% 6.3% 12.5%AssistantsOther persons 12.5% 31.3% 18.8% 6.3% 6.3% 0.0% 0.0%III. Programs directed by a responsible faculty member(s) in addition to regular teaching orresearch dutiesFull-time 52.9% 35.3% 0.0% 58.8% 11.8% 5.9% 29.4%facultyGraduate 23.5% 0.0% 5.9% 0.0% 11.8% 0.0% 0.0%AssistantsUndergraduate 5.9
learning from that failure; 2. Work as a teamto fundamentally understand a problem and why the problem occurred (The goal is to understandnot only technically why it occurred but why the technical errors were not discovered andcorrected.); 3. Engage in critical thinking and analysis to identify what technical error(s)occurred and to try to determine what system error(s) existed that allowed the technical error togo undetected, and finally, logically analyze the case to determine what personal errors weremade by the people involved in the case; 4. Increase student awareness of the roles andresponsibilities of working in the Engineering Profession; and 5. Use the elements of criticalthinking to create a defensible, logical position on the question
AC 2012-3787: EFFECTIVE ACTIVE LEARNING APPROACHES TO TEACH-ING SOFTWARE VERIFICATIONDr. Sushil Acharya, Robert Morris University Sushil Acharya, D.Eng., Associate Professor of software engineering, joined Robert Morris University in the spring of 2005 after serving 15 years in the Software Industry. With U.S. Airways, Acharya was responsible for creating a data warehouse and using advance data mining tools for performance improve- ment. With i2 Technologies, he worked on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand), he was the Product Manager of three energy software products (MEDEE- S/ENV, EFOM/ENV and DBA-VOID), which are in use in 26 Asian and seven European countries by
: 10.17226/25568.[2] T. Weiston-Serdan and B. Sánchez, Critical Mentoring: A Practical Guide, 1st ed. New York: Routledge, 2023. doi: 10.4324/9781003443872.[3] C. N. Baker, “Under-represented college students and extracurricular involvement: the effects of various student organizations on academic performance,” Soc Psychol Educ, vol. 11, no. 3, pp. 273–298, Aug. 2008, doi: 10.1007/s11218-007-9050-y.[4] H. Arksey and L. O’Malley, “Scoping studies: towards a methodological framework,” International Journal of Social Research Methodology, vol. 8, no. 1, pp. 19–32, Feb. 2005, doi: 10.1080/1364557032000119616.[5] K. Fernandez, A. G. Buhler, and S. M. Rivera-Jimenez, “Methods for Conducting a Scoping Literature Review on Institutional
Performance in the First Two Years of Engineering,” in 2016 ASEE Annual Conference & Exposition Proceedings, New Orleans, Louisiana: ASEE Conferences, Jun. 2016, p. 26884. doi: 10.18260/p.26884.[8] J. A. Leydens, J. C. Lucena, and D. M. Riley, “Engineering Education and Social Justice,” in Oxford Research Encyclopedia of Education, Oxford University Press, 2022. doi: 10.1093/acrefore/9780190264093.013.1772.[9] B. Christe, “The Importance of Faculty-Student Connections in STEM Disciplines: A Literature Review,” vol. 14, no. 3, 2013.[10] J. J. Park, Y. K. Kim, C. Salazar, and S. Hayes, “Student–Faculty Interaction and Discrimination from Faculty in STEM: The Link with Retention,” Res High Educ, vol. 61, no. 3, pp
widely used approach in qualitative research, was used in this study toidentify, analyze, and report patterns within data [26]. As described by Braun and Clarke [26],“[a] theme captures something important about the data in relation to the research question andrepresents some level of patterned response or meaning within the data set” (p. 82).Data coding: ATLAS.ti was the platform used for this study to generate, and organize the codes.After verbatim transcription, the data was systematically coded. In particular, we identified partsof the texts where participants referred to particular events and stories related to ethics andequity. Then, we developed codes for each identified story to capture the main issue(s) that wereraised. This was done by
importance, but did not studythe actual use of these collections or services. For example, while 69% of faculty in their studyindicated that library databases were important or very important, there was no correspondingassessment of these faculty members' actual use of library databases.A multi-institution interview study organized by Ithaka S+R of civil and environmentalengineering faculty found that researchers preferred to use Google and Google Scholar for arange of information needs including finding datasets, gray literature, and scholarly articles(Cooper et al., 2019). Similarly, in an interview-based study with early career life sciences andengineering faculty at a single institution, researchers found that faculty in their study
provides two questions: the initial concept-based question and a follow-up questionasking the students to reason ‘Why?’. Here, students can choose more than one response as wellas type their own if none of the options provided make sense for them. The logic for theformative assessment in the CALM is shown in Figure 1, as discussed previously [3].STUDENT-TOOL INTERACTIONS FROM A CONCEPTUALLY CHALLENGING CALM Figure 1. The formative assessment logic in the CALM. Solid green arrows show a sample student path. Dashed grey arrows show other possible paths.CMR assessment, or sometimes called “two-tier” multiple-choice instrument [23], was firstintroduced by Tamir in 1970’s [24]. Wilcox and Pollock [25], studied a comparison
teaching methodologies. Anotherlimitation was the inaccessibility of some articles that appeared promising for full-text screeningafter passing the abstract screening phase, due to the lack of access to the publishing journals andwebsites.AcknowledgmentThis project was supported by the Provost’s Summer Undergraduate Research and CreativeActivities (UReCA) Fellowship. Its contents, including findings, conclusions, opinions, andrecommendations, are solely attributed to the author(s) and do not necessarily represent the viewsof the Provost’s OfficeReferences 1. Allen, I. E., & Seaman, J. (2016). Online report card: Tracking online education in the
section provides anoverview of the intellectual foundations and bodies of scholarship that can be used to developeach of the characteristics for SFEN.1. Recognition of the fundamental embeddedness of the enterprise and the mutual shaping of the enterprise and its contexts. In his landmark work The Social Foundations of Education (1934), George S. Counts articulated the initial definition of SFED cited earlier in this paper: “the cultural phenomena—institutions, processes, practices, beliefs, values, and ways of knowing—that underlie any set of educational practices” [1]. All of these factors are of interest and have been extensively studied for engineering education and practice.2. Expansiveness of scope. According to Tozer and Butts
Paper ID #41801Meritocracy and Colorblindness: The Perpetuation of Whiteness in EngineeringEducation Through False NarrativesDr. R. Jamaal Downey, University of San DiegoDr. Joel Alejandro Mejia, The University of Texas at San Antonio Dr. Joel Alejandro (Alex) Mejia is an associate professor with joint appointment in the Department of Bicultural-Bilingual Studies and the Department of Biomedical and Chemical Engineering at The University of Texas at San Antonio. Dr. Mejiaˆa C™s work examDr. Diana A. Chen, University of San Diego Diana A. Chen, PhD is an Associate Professor and one of the founding faculty members of Integrated
as tensions between student and staff, as well as betweenpolicy and pedagogy [15]. In this practice paper, we incorporate the findings of studies [10] [11][12] [13] [14] [15] into the careful design and implementation of the SIG program, whichleverage the ample resources in the Inno Wing. We also adopt the SaP method in SIGs andestablish clear governance structure, finance principles, and development programs.The Student-initiated Interest Group (SIG) programGovernance structureThe SIG program adopts a Student as Partners (SaP) approach, which begins with consultationservice aimed at assisting developing teams in uniting the commitment of five parties: studentleader(s), student teammates, academic advisor(s), technical advisor(s), and host
,students must be enrolled in the section that meets over the entirety of the semester.This course originated as a seven-week course, focused on providing students who had earned anexperiential learning grant the opportunity to use that experience to consider their personalleadership development and speak about their experience(s) externally. The course was extendedto the full semester, with additional topics added, in order to meet the professionalismrequirement for four majors. The first seven weeks of the course give students the opportunity toreflect on their experiences through a leadership lens and prepare to tell their story. The full termcourse provides students additional opportunities to build mentorship relationships, look at
, 2018.[2] D. Clark and R. Talbert, Grading for Growth: A Guide to Alternative Grading Practices That Promote Authentic Learning and Student Engagement in Higher Education, 1st ed., vol. 1. London: Routledge, 2023. doi: 10.4324/9781003445043.[3] R. Butler, “Task-involving and ego-involving properties of evaluation: Effects of different feedback conditions on motivational perceptions, interest, and performance,” J. Educ. Psychol., vol. 79, no. 4, pp. 474–482, 1987, doi: 10.1037/0022-0663.79.4.474.[4] R. Lynch and J. Hennessy, “Learning to earn? The role of performance grades in higher education,” Stud. High. Educ., vol. 42, no. 9, pp. 1750–1763, Sep. 2017, doi: 10.1080/03075079.2015.1124850.[5] S. D. Blum, A. Kohn, and T