,PBL is open-ended and contextualized, and student learning is driven by the problem itself.Research shows that compared to traditional lecture-based instruction, PBL improves students’understanding and retention of ideas, critical thinking and problem-solving skills, motivation andlearning engagement, and the ability to adapt learning to new situations – skills deemed criticalto lifelong learning9 - 15.With PBL, students learn the process of learning in addition to course content by engaging in asystematic and reflective process that begins with problem analysis, whereby small teams ofstudents work collaboratively to dissect a problem, identifying what is known, what needs to belearned, situational constraints that might apply, and other
experience at a level at which they are capable with supportstructure provided by instructional staff that students may apply and reflect upon with theirteammates and classmates. The layers and learning activities that exist within a term-lengthproject-based learning environment also present adequate opportunities to address learningobjectives at many levels5. Scaffolding does not have to be comprised solely of direct instructorinteraction; in the cornerstone laboratory, scaffolding may take the form of texts, handouts,guides, diagrams, slides, notes, kitted equipment, a controlled work or laboratory environment,prepared data collection tools and equipment, prescribed, limited analysis tools and approaches,an introductory setting with instructor
, offered by the history department.Overall, this program thus allows for thirty weeks of instruction in engineering ethics. Thisallowance provides the opportunity to develop a curriculum with a breadth of topics and a depthof analysis that are often missing in other schools’ curricula. Almost no topic in the growingliterature on engineering ethics is left unaddressed. Among the advantages of this arrangementis the availability of ample time for introduction and discussion of case studies, both micro-levelcases focusing on individual moral dilemmas, and macro-level cases that focus and reflect onthe social and ecological impact of technology. The breadth of topics and depth of analysisprovided are consistent with the “conventional criteria
answers." This statement reflects the idea that data science involves more than just numerical analysis; it requires an integration of subject matter expertise to ensure meaningful interpretations. • Another perspective offered was, "Data is in sensors and economics in chemical engineering; data science is interpreting these values and creating a story." This view emphasizes the narrative aspect of data science, where data from diverse sources is synthesized into coherent stories that inform decision-making processes.Unsure What Data/Data Science IsA segment of the participants expressed uncertainty about the precise definitions of data and datascience, reflecting a perception of these concepts as
will detail our methodology, present our findings, and discuss the benefitsand limitations of integrating ChatGPT into qualitative analysis for engineering educationresearch.MethodsTo gather qualitative data, our team devised a semi-structured interview protocol comprisingfour segments: introduction and warm-up, engineering identity, teamwork, and conclusion.When time permitted, we asked the interviewees to reflect upon stories of practicing engineers,which were compiled from publicly accessible accounts of the day-to-day experiences ofpracticing engineers. This interview framework and other relevant aspects of our research designreceived approval from our institution’s Institutional Review Board.Throughout the RIEF project, we conducted a
be attributed to the fact that GradTrack’s main focus and mission is the preparation ofstudents for graduate school, particularly with their applications. This theme also emergedfrequently in student reflections as one of the most helpful aspects of the program. One studentreflecting on this said: “I also found all of the resources, examples, and a timeline of when to accomplish certaingraduate school application tasks to be rewarding and allowed me to prepare my applications as best as I could have.”Another student remarked: “I found completing my application documents and getting them reviewed to be the most valuable part about my GradTrack mentorship experience.”Further, within the
disposition towards command line programming, which wasalso reflected in their initial struggle to adjust to using a command line tool. On the other hand,the OOP students showed a better performance and disposition towards command lineprogramming, but this could have been influenced by acquired experiences both prior andexternal with using such tools.1. IntroductionDeveloping ways to effectively teach early computer science (CS) majors how to program hasbeen an important topic of interest for some time. When addressing student learning in earlyprogramming courses, there have been a variety of elements researched and observed, notableones being: 1) the type of paradigms that are ideal for introducing students to programming [1],[2], [3], [4], 2) the
an accessible and reliable assessmentsystem for assessing conceptual STEM understanding for colleges and universities that aligns withSTEM curriculum and uses Artificial Intelligence (AI) based assessment methods. Table 1: Operational Definition of Terms Term Operational Definition Example(s) Proficiency The proficiency of a person reflects the probability • Percentage correct on of answering test items correctly. The higher the static exams. individual’s proficiency, the higher the probability • Theta estimate on CATs. of a correct response. Different fields refer to proficiency as ability, latent trait, theta. Content
unpack tensions, historicalcontext, and practice of a liberal engineering education. Engineers have long positionedthemselves as “problem-solvers” uniquely situated to use technical knowledge to proposesolutions to complex problems. Recent work has identified the need to better integratenontechnical knowledge into engineering education as a way of reflecting the complex social andpolitical landscapes that structure engineering practice (Reddy, Kleine, Parsons, & Nieusma2023). Here we explore using a framework for “engineering as conflict” as a compelling practiceof sociotechnical integration at the undergraduate level. Here, conflict refers to the practice orprocess of disagreement, difference of opinion, or tensions.From the perspective of
parallel study of this project, we aim to further investigate the findings from thisstudy by examining engineering doctoral students’ perceptions on their preparedness to teach varybased on their demographic characteristics, prior teaching experiences and trainings, etc. [16]. Inanother study, we analyze engineering doctoral students’ expectations, reflections, and concernsregarding their future in academia [17].Theoretical FrameworkThe survey instrument developed is grounded in the self-efficacy and self-perception theory. Theself-efficacy theory provides a framework to act as a predictor of how individuals may perform inthe future based on their confidence in their ability in a certain task or domain [18]. According toBandura [19], [20], a
3outcomes. Moreover, antecedents and interpersonal outcomes may differ across contexts,resulting in different ways empathy might be observed and different facets that might be mostcritical to empathy’s manifestation. Thus, for the next stop on our tour of empathy models, weexplore Smeenk, Sturm, and Eggen’s [16] Empathic Formation Compass.Smeenk, Sturm, and Eggen’s Empathic Formation CompassSmeenk and colleagues [16] developed their empathic formation compass through a focus onproviding a model that addresses empathy as a construct and process, supports reflection ondesign action, and focuses on designers’ roles and design decisions. The empathic formationcompass integrates several empathy and design models to create a more robust sense of
& Viable Business Models, Multicultural, and Social Consciousness. This e-portfolio includes but is not limited to undergraduate research, projects, and high-impact experiences that can be leveraged to pursue future academic and professional careers. ombining e-portfolios with an interdisciplinary approach to education scenarios allows us toCperform the analysis of our cohort's growth in varied ways. Previous cohorts were tasked with the performance of a pre-and post-program survey as well as a traditional reflection essay[2]. Extrapolating on that idea and the engineers' inherent drive for innovation, in this 2023 cohort we elevated the research design by adding concept maps to assess student
-evaluation, andactive involvement in learning processes contribute to student's academic experiences andoutcomes. Each construct has been carefully chosen and defined to capture the multifacetednature of student engagement in first-year engineering courses. Building on the theoreticalframeworks we discussed earlier, it's important to note how each construct within our instrumentis aligned with specific dimensions of student engagement in first-year engineering courses.Constructive EngagementCourse Knowledge, reflecting the dimension of constructive engagement, is grounded in theconstructive aspect of Chi's ICAP theory [10]. Michelene Chi's ICAP framework categorizesstudent cognitive engagement into four distinct levels based on their interaction
sustainability inrelation to engineering. The reviewed literature revealed many options, and changes weremade to the inaugural curriculum design as the module evolved over a four-year period. Thisongoing development is described as action research. McNiff promotes the action researchmethod for use by individual educators to improve their own practice in teaching as a regularcycle of self-reflection and course appraisal.17 Consequently, the stages of action researchcycle – observation, review, plan and activate – involved lecturer observation and reflection,coupled with a combination informal feedback, and the more formal formative andsummative student appraisal.Project GoalThe project goal was to design and assess a curriculum relevant to an
differ from experts not only by the amount ofknowledge, but in how the knowledge is organized and utilized. This development includeshelping students progress in their epistemological assumptions, described by King and Kitcheneras being three primary phases:13 ● Pre-reflective thinking: do not acknowledge or perceive that knowledge is uncertain. Do not understand that some real problems have no absolutely correct answer. ● Quasi-reflective thinking: recognize that some problems are ill structured and that some issues are problematic. Do not understand how evidence leads to conclusions - have difficulty drawing reasoned conclusions ● Reflective thinking - knowledge must be actively constructed and understood in relation to
all majors defined as ‘non-S.M.E.’ (including those who enter as‘undecided’) is modest (6.2%)” and “ Engineering gains 13.1 percent of switchers from thecomputer and technical fields.” As the book title reflects the emphasis on the broad group of allSTEM majors, it also does not provide a detailed accounting of multiple entry paths toengineering. However, when the focus switches to the dynamics of entry and exit to and from anengineering program, the numbers of those who switch to engineering from the sciences orelsewhere requires consideration, as will be discussed later.An exception to the practice of assuming that migration into an engineering major is negligible isnoted by Donaldson and Sheppard6, who found a 25% rate of inward migration
Metallurgical Engineering from Michigan Technological University and he holds a Ph.D. in Educational Psychology from the University of MinnesotaJennifer A Turns, University of Washington Jennifer Turns is an Associate Professor in the Department of Human Centered Design and Engineering at the University of Washington. She is interested in all aspects of engineering education, including how to support engineering students in reflecting on experience, how to help engineering educators make effective teaching decisions, and the application of ideas from complexity science to the challenges of engineering education.Ken Yasuhara, University of Washington Ken Yasuhara is a research scientist at the University of Washington’s
, lesson plans, and reflections.6 During this phase, we focused onidentifying indicators of concepts and categories that fit the data. Repeatedly appearing Page 22.551.3categories, concepts, and events helped us construct themes based on the events leading up to theteachers‟ attempts in implementing engineering design-based learning tasks. The viability of theconstruction of themes was then tested against other relevant data sets (e.g. field notes fromclassroom observations and other supporting documents). To ensure trustworthiness of the data,we informally conducted member checks with each teacher by sharing analytic notes frominterviews
American Society for Engineering Education, 2011 Collecting Programmatic Assessment Data with No “Extra” Effort: Consolidated Evaluation Rubrics for Chemical Plant DesignAbstractIn order to gain accreditation, engineering programs must define goals and objectives,assess whether their graduates are meeting these objectives, and “close the loop” by usingthe assessment data to inform continuous improvement of the program. In ABET’sjargon, program “objectives” describe capabilities that graduates are expected to possess,e.g., “Graduates of the Chemical Engineering program at Rowan University will be ableto….” Thus, the true success of the program in meeting its objectives is reflected in thefirst few years of graduates’ careers. Practically
Beck was built aroundthe University of Chicago’s outstanding graduate research programs in the sciences. The Centerfor Imaging Science was organized around research programs that reflected the interests ofgroups of faculty members from the traditional departments of physics and astronomy,chemistry, mathematics, radiology and computer science. Faculty from the art department andpsychology department also participated in the research projects, as did scientists from ArgonneNational Laboratory. Missing from this research-focused effort was a formal curriculumdesigned to teach, in a unified way, the underlying science and technology. The most comprehensive effort to forge a complete program in Imaging Science wasundertaken by the Rochester
combining internal and external operations derived from the individual’s neurobiology,personality, and development and reflected in learner behavior. Learning style also representsboth inherited characteristics and environmental influences.Dunn 29 described learning style as “... the way each learner begins to concentrate, process, andretain new and difficult information” (p. 224) She noted that this interaction occurs differently foreveryone. Dunn also highlighted that “To identify and assess a person’s learning style it isimportant to examine each individual’s multidimensional characteristics in order to determinewhat will most likely trigger each student’s concentration, maintain it, respond to his or hernatural processing style, and cause long
significantly higher than the control group on assessment items. The student-centered reflective questions indicated also some weaknesses and associated potential actions toimprove the GIS based module. Based on these findings a series of changes to the current tasksin the GIS laboratory were planned.KEYWORDSTransportation Education and Training, Traffic Safety, Crash Data, Geographic InformationSystemsIntroductionThe education and practice of transportation engineering has evolved over the past severaldecades. The task of transportation education, as stated by an Institute of TransportationEngineers (ITE) Committee1, is not only “to train students in how to do various activitiesassociated with current practice”, but also “to provide students with the
reflective environment. One indelibleaspect of web learning is the opportunity for learners to collaborate during problem solving andactively be involved in their learning. However, Ravert and Evans2 showed that expecting Page 15.12.4students at earlier stages of development to learn from courses based on principles ofnegotiation, shared construction, and peer-to-peer learning could be problematic. Therefore, iftools employed in teaching and learning or instructional design run contrary to students‟epistemic beliefs, it would lead to frustration and distress. Students may require greaterscaffolding with aspects of online teaching mostly those who see
reflection. The morning sessionsfocus on deepened content, taught by engineering faculty modeling pedagogical “best practices”.This was followed by teachers going through the section of the curriculum that paralleled thecontent lesson, including hands-on activities and the online module. In the afternoon sessions,the teachers applied their new found technical and pedagogical knowledge as they taught thecurriculum to students enrolled in the Upward Bound program. While teaching, the teacherswere videotaped and observed. After the lesson each day, the teachers reviewed videotapes andhighlighted what went well and what needed improvement. Together, the teachers and PDfacilitators provided constructive criticism on how to improve the delivery of the
Development, Assessment and Implementation of Program Educational Objectives and Program Outcomes of BSEE Program Satinderpaul Singh Devgan Professor and Head, Electrical and Computer Engineering Tennessee State UniversityAbstractSystematic development of program educational objectives and program outcomes andtheir assessment for continuous improvement in program effectiveness requires relevantconsideration of constituent needs or requirements and program mission. The assessmentcriteria should reflect program aspirations and should be reflected in assessment tools.This paper describes successful development of program educational objectives andprogram outcomes
learning in the classroom with real-world experiences in thecommunity. Studying abroad provides students with opportunities to learn how to navigatedifferent cultures, work with diverse peers, and gain new perspectives and global awareness. TheMercer on Mission (MOM) program at Mercer University in Macon, GA bridges service-learning with short-term, faculty-led study abroad opportunities to provide transformativeexperiences for students through academic instruction, cultural immersion, applied research,meaningful service, and personal reflection. In this study, the MOM program was evaluated forits impact on student participants. Program evaluation included a holistic assessment of theprogram. Research goals included evaluation of effectiveness in
, the Collaborative Lounge for Understanding Society and Technology through Educational Research (CLUSTER), is a dynamic in- terdisciplinary team that brings together professors, graduate, and undergraduate students from engineer- ing, art, educational psychology, and social work in the context of fundamental educational research. Dr. Walther’s research program spans interpretive research methodologies in engineering education, the pro- fessional formation of engineers, the role of empathy and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces. ©American Society for Engineering Education, 2023
Page 24.880.1 c American Society for Engineering Education, 2014 Making a First-year Impression: Engineering Projects that Affect and ConnectIntroductionAfter years of having passed through multiple assessments, iterations, and updates of the coreGeneral Engineering courses in the first-year program at Northeastern University (NU), severalengineering professors wondered the following, “With our engineering courses so full ofactivities, topics, and projects, how can we identify which of those elements have the greatestimpact on our students?” It was time for a more detailed reflection on all that had been put inplace in the first-year courses in order to identify which
Accreditation Board forEngineering and Technology (ABET) professional skills7, 8. Page 24.974.3Review of LiteratureWhat is PBL? Jonassen6, in his handbook on designing problem-solving learning environments, definesPBL as an instructional strategy characterized by: focusing on authentic, ill-structured problems;being student centered; allowing for self-directed learning by the students; and requiring regularself-reflection, where students monitor and adjust their learning. PBL has its foundations insituated learning, which is known for active learning, social mediation, meaningful learning,purposeful participation in communities of practice, and
industrial systems.A specific Humanitarian Engineering program is hosted at Penn State (HESE).29 Their programincorporates a Social Entrepreneurship factor with the Humanitarian Engineering. They haveintentionally established their program to perform international community projects. The courses Page 24.1034.9pertinent to the design aspect of engineering education are: (a) Social Entrepreneurship, (b)Projects in Humanitarian Engineering, (c) Design for Developing Communities, (d) HESE Fieldexperience and (e) HESE Reflection and research dissemination. While these are the maincornerstones for the programs, there are options for additional minors