., analyzing the effects of a curriculum revision and assuming no courses aretransfer-friendly. To address this gap in the literature, we adapt the curriculum complexityframework to capture challenges vertical engineering transfer students may encounter in theirpathway to a four-year degree. IntroductionSuppose we wanted to quantify how much more accessible a curriculum becomes whenremoving a prerequisite to a particular course. How would we do it? We could wait a few yearsto calculate the typical metrics related to retention, observing the flow of students through thatportion of the curriculum. On the other hand, a method drawn from graph theory does not requireus to wait. In fact, all we need is the plan of
-structuredengineering tasks for collaborative problem solving.Collaborative problem-solving processes in ill-structured tasksGe and Land [9], [10] defined four problem-solving processes necessary for effectively solvingan ill-structured task in groups: exploring the problem (P1), planning solutions (P2), attemptingto solve (P3), and evaluating the solution and considering alternatives (P4). Researchers arguethat these processes are associated with better learning outcomes; thus, it is important forstudents to engage in all four as they solve this type of task [11], [12]. Our previous workdebuted a literature-based framework that outlines and defines these processes within the contextof undergraduate engineering group work as demonstrated through verbal
Award for Women in Engineering Education in 2016. Dr. Davis received a B.S. degree in Computer Science from Loyola University, New Orleans in 1985 and an M.S. and Ph.D. in Computer Science from the University of Louisiana, Lafayette in 1987 and 1990, respectively. American c Society for Engineering Education, 2021 Examining the Efficacy of Exam Wrappers in a Computer Science CourseAbstract (Evidence-based Practice)An exam wrapper is a guided reflection activity that students undertake following an exam.Students are typically asked to reflect on their preparation, performance, and plans for preparingfor the next exam. The
programand reflects on the applicability of the activity in a wide range of engineering courses. Second, itdescribes a qualitative study to answer the research question, to what extent is the YTU activityeffective in terms of student engagement and connection to the course objective? Data wascollected from two groups of students who participated in this creativity course and completedtwo peer teaching activities. Each student taught a 15-minute lesson to a group of peers,submitted a detailed lesson plan, and wrote self- and peer-assessments after class. These lessonsincluded both content sharing (i.e., presentation about the topic) as well as an activity and a finalassessment tool to ensure that their peers had met the student-defined learning
formative analysis.As a work in progress,, we are seeking feedback from researchers who have experience withlarge-scale, multi-year implementations, especially in the context of making revisions to researchdesign. We chose design-based methods to construct our tools and plan our implementation,having selected them for their applicability in situations where plans may need to be revisedbased on formative iterations of reflection [1]. Now that we find ourselves with the need to makechanges, we are uncertain how to effectively integrate new research questions, collect andanalyze data, and communicate findings in ways that: (1) maintain consistent attention toestablished throughlines while; (2) integrating adaptations to the original research design
planned interventions was puton hold indefinitely.Introduction/BackgroundSeveral definitions and descriptions of the term “troubleshooting” have been presented inliterature. An example of this is in [1], which defined troubleshooting as a common form ofproblem solving that requires an individual to diagnose faulty systems and take direct, correctiveaction to eliminate any faults in order to return the systems to their normal states. Another is in[2], which described troubleshooting as a task that deals with problem-solving skills that arespecific to a domain such as computer programming, engineering, biology, medicine, orpsychology. Furthermore, the author described the task of troubleshooting as locating theproblem or malfunction in a system
activities, iv) Family Caféevents, and v) Summer workshop for STEM teachers.i) NASA-STEM content developmentThe NASA STEM contents were first identified based on the existing lesson plans adopted inparticipating schools in Broward and Palm Beach Counties in Florida. Then, the NASA STEMcontents were embedded into the NGSSS based on the lesson plans and instructional calendar.The methodology adopted for NASA-STEM content development is shown in Figure 1. Thevarious steps were: i) Review and analyze the existing curriculum followed by the schools andwork closely with the STEM teachers to identify available time-slots to introduce NASA-STEMcontent to their existing lesson plans; ii) Download the NASA’s STEM content for Grades 6, 8,11-12 from the NASA
Design and the Arts at Arizona State University. Alrajhi also serves as a teaching assistant in the College of Architecture and Planning at King Saud University, Saudi Arabia. In 2015, he received a Bachelor’s degree in Architecture (BArch) from Qassim University, Saudi Arabia. Pursuing his long-term goals, Alrajhi obtained a full scholarship to continue graduate studies in the United States. He earned a Master’s degree in Architecture (MArch) from Arizona State University in 2020. Generally, Alrajhi’s ar- eas of interest are architectural education, learning environments, design thinking, and curriculum design.Dr. Brian Carl Nelson, Arizona State University Brian C. Nelson is a professor of educational technology with
(IPSCAI) program has been proposed [20],[21]. The program is basedon the Super Collaborative Graduate School Program but focusing on local UICs. Duringdoctoral study, students are employed and paid by participating companies. The governmentplanned to provide financial support to participating universities and companies. Although theprogram is still in the planning stage, it is expected to stimulate local business development.Japan has established programs for high-level talent training and is tracking the impact of theseprograms to improve the prospects for young researchers. In addition, the Japan NationalInstitute of Science and Technology Policy (NISTP) has established the Japan GraduatesDatabase (JGRAD) [22]. By tracking PhD human resources
Paper ID #32288Instrumentation for Evaluating Design-learning and Instruction WithinCourses and Across ProgramsSteven Santana, Harvey Mudd College American c Society for Engineering Education, 2021 Instrumentation for evaluating design learning and instruction within courses and across programsIntroductionThis work-in-progress (WIP) paper communicates the initial planning and design ofinstrumentation, deployed through action research, to assess students’ growth in designlearning and their belonging and identity in engineering. The ultimate goal of the datagenerated through this
Pontificia Universidad Cat´olica de Chile. Jorge holds a PhD in Computer Science from the University of Toronto in Canada and a Master’s Degree in Engineering Sciences from Pontificia Universidad Cat´olica de Chile. His research focuses on areas of automated rea- soning in Artificial Intelligence; specifically, automated planning, search and knowledge representation. Currently his research focuses on understanding how machine learning techniques can be applied to the intelligent decision-making process, on the applicability of AI techniques for enhancing emotional health in Engineering Education. He is also an assistant researcher at the Millennium Institute for Foundational Research on Data
and how towrite a scientific paper. However, the idea behind the final project is always to give the studentsan experience of developing a full software application by collaborating with stakeholders andfollowing appropriate methods for requirements analysis, design, implementation, qualityassurance and project planning. In the course projects or project based courses where students aregiven a project and asked to implement a complete software system by analyzing therequirements and designing the system using UML and object oriented methods. Students get theopportunity to learn how to write documentations, test cases, and to validate their work withstakeholders. Such senior level course projects provide students with the experience ofteam
, &Azevedo, 2007). Pintrich (2000) provides an overview of the common themes of models of self-regulation, where models can be organized along two dimensions: (1) phases of regulation, which includeforethought (planning or activation); monitoring; control; and reaction (reflection); and (2) areas ofregulation, which include cognition; motivation; behavior; and context.4.3 Proposed model to study faculty adaptability as self-regulationOur revised self-regulation model in adaptability is shown in Figure 2 below. It is inspired by the cyclicalmodel proposed by Zimmerman (2000); however, it is modified to include a willingness aspect for eachphase of the cycle. A similar modification has already been proposed by Zimmerman & Moylan (2009)who
categories were assessed using hours per week, such ascommunity hours, supervised hours, and special access hours. It also included focus and plans toexpand, a unique look at a makerspace's growth.Compared to existing literature, the goal of the proposed novel taxonomy is not to be used as adirect, objective ranking system. However, the proposed dimensions and categories would leadto the creation of a well-defined vocabulary to help identify the commonality and differencesacross various makerspaces. For example, research focusing on a makerspaces' contributions inthe development of leadership qualities, aspects of the culture category would likely be weightedhigher than others. A different research effort, such as the impact on local
, or study. Role identities are contextually specific and as such, we haveformulated questions for engineering, science, or computer science consistent with previouswork in mathematics, science, and engineering [1], [13], [14]. Students will choose the field ofstudy most relevant to them to answer these questions, as ERC's are interdisciplinary and mayinvolve students from across STEM solving engineering programs. Third, items measuringstudent pathways and sustained interest were developed for this study from The ERC EvaluationConsortium's Multi Engineering Research Center Instrument Inventory [30] to assess thestudent's willingness to continue their STEM paths, such as the pursuit of additional degrees andwhich career plans they might
dataanalysis and results, the discussion of the results and conclusions and future work.Related workIn the field of Education, ICTs have enjoyed a sustained increase in their implementation andusage in areas as diverse as evaluation, planning, teaching, and educational management. Furtheranalysis into these facts, made by Llorente and Marín [7], have led them to state that the rate ofstudent learnings, regardless of their educational level, is mediated by the use Information andCommunication Technologies, which in recent times have undergone a continuous process ofevolution and growth.Present reality is that most students, particularly those subject to this study, are digital natives.According to Delgado [8], a digital native can be understood as
use in multiple contexts (c.f., Rodell, 2013; Colquitt etal., 2019). The original instrument uses four subscales, procedural, distributive, interpersonal, andinformational justice. However, Colquitt and Roddell (2015) suggest a two-factor solution that collapsesinterpersonal and informational into distributed and procedural is also acceptable. In our survey,students responded to the derivative instrument for three different contexts: (1) Courses they had takenin previous semesters, (2) Their capstone course, and (3) Their TechCom course. We plan a moreextensive reporting of the instruments’ development and validity in future work that is not possible in aWIP.In addition to the grading justice and fairness instrument, we asked two additional
enrollment [19]. Therefore, the need for and potential of the S-STEMProgram at Kennesaw State University are enormous.Program expectations for students include progression items (target GPA, course enrollment andstatus), connective activities (faculty mentors, advisors, industry partners, outreach), and optionalactivities (living learning community, career services events, undergraduate research, studentorganizations, tutoring). Achievement of these expectations is driven through the mentor/menteerelationship where both provide and accept feedback, and advice and resources are activelysolicited and provided to encourage students’ responsibility for their learning. The first year ofthe project primarily focused on planning, marketing, and recruitment
University of Technology (Tehran Polytechnic), and the BSc degree in Computer Engineering from Qazvin Azad University. He has over 11 years of experience in manufacturing industry. He has worked as a Process Quality Manager, Planning & Quality Systems Manager, Production Planning & Control Manager, and Material Control Supervisor at MAPNA and NeyrePerse industrial groups. His research interests include Intelligent Mechatronic Sys- tems, Medical Robotics, Companion Robots, Brain-Controlled Robots, Computer Vision, 3D Scene Re- construction, and Machine Vision. His current research is focused on designing and implementation of the gesture and mind-controlled robotic systems. His research has been published in peer
itemdevelopment and implementation were generated (see Table 2) that were incorporated asmeasures to facilitate student access to the assessment instrument and mitigate perceivedchallenges in the method employed.Table 2: Guidelines and implementation plans based on TDT feedback Guideline Description Implementation Plan Assessment implementation Assessment would be offered Maximize student access to protocols would promote in a variety of media, assessment materials multiple methods of student including as a pen-and-paper participation test and as digital items
roles at least once. We usedGoogle Drive folders to organize the drafts, feedback, and response templates for each student’sdraft, which also permitted students to complete these reviews outside of class time. Studentswere assigned to complete their team reviews over the course of a one weekend, and at thebeginning of class the following week, the compiled SDR response was provided to each teammember.Student’s were asked to reflect upon the compiled SDR feedback. As part of the reflection,students were instructed to create a short, informal revision plan for their specification report.The revision plan was a brief bulleted list that ensured students read and understood the feedbackprovided to them, but also provided a way for students to turn
the impact of cooperative learning during the Spring2020 semester by studying team retrospectives written by students enrolled in a system analysisand design course.The pedagogical foundation for the system analysis and design course was cooperative learning.The course required students to work in teams to develop a software prototype. The project wasdivided into four milestones and each team was required to submit a team retrospective detailingoverall planning, task allocation, group processes, and strategies for improvement. The first twomilestones were completed during face-to-face instruction, while teams met online for the lasttwo milestones due to the shift to online instruction. To investigate team effectiveness, a rubricbased on the
however, WEdoes not imply “writing intensive.” Certified WE courses are not meant to be “writing classes;”instead, writing should be one of several instructional focuses, as required by the new WEinitiative.Since this new initiative is taking effect in Fall 2021, the WE Committee has not established thefinal assessment criteria. The plan is to have each program submit an assessment processregarding the WE related learning outcomes.Literature Review:Writing is an important skill that all engineers should have. Its importance is reflected in ABETaccreditation criterion 3 for student outcomes, “an ability to communicate effectively with arange of audiences.”Wheeler and McDonald [1] stated that writing is a useful tool in engineering if developed
professionalism is a broad topic, it often includescommunication, project management, and teamwork, in relation to engineering projects asessential ingredients for project execution. Communication, in particular, is often sufficientlyintegrated within first and second-year engineering courses as oral and technical writingcomponents in preparation for the capstone experience [3]. In fact, communication was and stillis part of the Accreditation Board for Engineering and Technology (ABET) review criteria.Recently, ABET introduced a new set of criteria that included, “an ability to function effectivelyon a team whose members together provide leadership, create a collaborative and inclusiveenvironment, establish goals, plan tasks, and meet objectives” [4
,time, classroom/curriculum, instructor’s disposition, and networking/community. Infrastructureand culture refer to what is emphasized by an instructor’s institution, including evaluations,research emphasis, and institution policies. Knowledge of effective teaching practices speaks tothe instructor’s access to material about effective teaching practices or support offered in order touse these best practices. Student experience can refer to how students react to active learning,how responsive or attentive the students are, or the rapport built between the instructors andstudents. Time denotes the amount of time it would take an instructor to learn about bestpractices as well as the amount of time required to restructure and plan for a course
: Self-Efficacy for Advanced Manufacturing Competencies. The competencies that wereincluded in this scale, as well as the Implicit Theories of Advanced Manufacturing CompetenciesScale, stemmed from prior grant-related work of industry professionals (described in the followingsection).Current Progress on Research StudyBecause of the COVID-19 pandemic, some of the research tasks were delayed as the researchersinvolved had to focus on helping faculty at their respective institutions shift to remote teaching.The development plan was refined at the program launch and again after the impact of COVID-19to readjust the timeline and working parameters (i.e., working fully-remotely). We are on track toaccomplish all goals by the end of the project.As of
similarly shown that a good strategy toimprove performance in STEM classrooms would be to help reduce students’ anxiety levels,particularly during examinations [16], or to change assessment methods to lower anxietyalternatives [17, 18].However, circumstances can ruin even the best laid plans as has been the case during theinternational COVID-19 pandemic. During this time, particularly in the spring of 2020, continuityin instruction has been heavily impacted along with many other areas of life. Universities wereforced to quickly shift from in-person to remote instructional modes with limited planning orpreparation. This forced a departure from the traditional in-person lecture and examinationformats that continued into the next school year, and
Student in Electrical and Computer Engineering at North Dakota State University. Her research interests are innovation-based-learning, educational data mining, and K-12 Out- reach. She works for the NDSU College of Engineering as the K-12 Outreach Coordinator where she plans and organizes outreach activities and camps for students in the Fargo-Moorhead area.Ryan Striker P.E., North Dakota State University Ryan Striker is a life-long learner. Ryan has over a decade of professional experience designing embed- ded electronic hardware for industrial, military, medical, and automotive applications. Ryan is currently pursuing a PhD in Electrical and Computer Engineering at North Dakota State University. He previously earned
in problem setting and developing a plan for problem solving. In this study, weexplored the potential for an explicated ‘engineering problem typology’ (EPT) to serve as aninstructional scaffold for engaging students in ill-structured problem. Toward understanding theimpact of EPT training we conducted pre-/post-EPT problem solving sessions. Six student pairswere analyzed and evidenced change that we argue as positive. All pairs demonstrated a shift intheir problem-solving discussion from pre to post as represented by EPT discourse patterns. Thisincludes explicit identification of the problem type, specifically referencing process stages, and inmost cases, discussions aligned with EPT frameworks. The observed change in discourse