It has been well established that for adult learning to occur, motivation and reflection must be present[19]. To achieve intrinsic motivation, the learner must have a sense of autonomy, competence, and afeeling of belonging [20]. Educators play a multifaceted role in promoting those needs by activelyfacilitating inclusive and engaging learning experience while tailoring their approach to meet the diverseneeds of adult learning, thereby promoting autonomy and competence[21]. When learners collaborate ona PBL assignment, intrinsic motivation can either be enhanced or disturbed. The determinant factors ofintrinsic motivation level in this case are self-evaluation, attitude of the learning about education, and theimportance of goals [19]. When
of mechanical engineering at Cal Poly, which he joined in 2008. Prior to that he was on the faculty at Rowan University.Jonathan D. Stolk, Franklin W. Olin College of Engineering Page 22.1334.1 c American Society for Engineering Education, 2011 Student Lifelong Learning Outcomes For Different Learning EnvironmentsAbstractCalls for educational reform emphasize the need for students to develop a capacity for lifelonglearning. Lifelong learners may be characterized as curious, motivated, reflective, analytical,persistent, flexible, and
member’s pre-existing social capital. The cultivation of these relationships in L&L is also reflected inthe culture of the space, as described by participant 5 . ”[L&L] is kind of a very open, inclusive culture. It’s very similar to the ESED culture. [...] Everyone seems to like, get along. They’re happy to see one another and talk.” - Participant 5Participant 5 describes the culture of L&L as inclusive and open. Their statement shows how social capital is facilitated throughL&L, as it promotes an environment where individuals feel welcomed while they join together to discuss education research.L&L provides a semi-formal space to develop graduate student relationships. The semi-formal register of the space is intendedto
countries. his student underscores a motivation for a more equitable world due to the perceived harmTcaused by their high-income country, particularly in terms of the environmental degradation that will affect low-resource communities.I n summary, while the motivations varied among students, this study identified all students at one point expressing a motivation for social justice, often using vocabularies such as justice and equality. While this exploration was not exhaustive in capturing the entirety of students' experiences, we found that students reflected on a spectrum of emotions. These include a sense of solidarity with marginalized populations they once lived with, drawing inspiration from the resilience and
valuable guidance forfuture educational strategies and policies.keywords: curricular complexity, causal inference, student success, graduation rates, educationaldata mining1 IntroductionCurriculum complexity, an intrinsic characteristic of educational programs, has increasingly be-come a focal point of academic research due to its presumed impact on student performance. Thearchitecture of a curriculum – encompassing the breadth and depth of content, the sequencingof subjects, and the interplay of various pedagogical approaches – directly influences the learningenvironment. This influence is often reflected in key educational outcomes such as student engage-ment, comprehension, retention, and graduation rates. The complexity of a curriculum
launch speed is 6.1 km/s, how fast is it moving at the peak of its trajectory? - Problem from one of the authors’ first year engineering student’s Physics homework [1]If your background is engineering, you are also likely to have seen problems like the one abovein classes that you have taken.If you are unsettled by problems that engineering studentsencounter that lack any reflection on the inherent moral implications, such as the one above, weencourage you to read on as we relate our efforts to contribute to the struggle for social justice inengineering. If you are not troubled with problems like the one above, then you may not findvalue in reading any further. Then again, perhaps you could benefit from learning aboutSolidarity
organize the divisionsare not exclusive. The reflect differences in emphasis rather than the existence of separateknowledge domains.1 The number of divisions vs. constituent committees and interest groups seems to fluctuate based on the context inwhich the list is generated (ASEE website vs. PEER). By some counts, there are 55 divisions. In any case, theproportion of “Engineering and. . .” divisions remains essentially the same. 2 This paper focuses on four “Engineering and. . .”divisions that explicitly connectengineering with expertise that is relevant to engineers but not typically required in engineeringeducation
experience. The implementation outcomes suggest that theproposed Pedagogical Model can be suitable for involving students in self-directed learning andcreativity processes and promoting effective inquiry and use of strategies for development ofstudents’ metacognitive skills in creative thinking and self-directed learning. Futureimprovement on the implementation of the proposed Pedagogical Model is also discussed. Page 14.1229.2IntroductionMetacognition is often simply defined as "thinking about thinking", and refers to the awarenessof and reflection upon how one learn knowledge and how one use information to achieve a goal,and the ability to judge
- cation with specific emphasis on innovative pedagogical and curricular practices at the intersection with the issues of gender and diversity. With the goal of improving learning opportunities for all students and equipping faculty with the knowledge and skills necessary to create such opportunities, Dr. Zastavker’s re- cent work involves questions pertaining to students’ motivational attitudes and their learning journeys in a variety of educational environments. One of the founding faculty at Olin College, Dr. Zastavker has been engaged in development and implementation of project-based experiences in fields ranging from science to engineering and design to social sciences (e.g., Critical Reflective Writing; Teaching and
-level electrical and computer engineering course. The primary source ofdata was 21 transcribed audio recordings of design meetings and is supplemented withinterviews, reflections, and course artifacts. Thematic analysis revealed 10 themes that representconnections and disconnections between the process used and a common five-stage designthinking process (empathize, define, ideate, prototype, and test). These themes demonstrate someof the opportunities and challenges related to design thinking within an engineering coursedesign setting. In particular, they suggest that engineering course design is a relevant context fordesign thinking, but one to which design thinking methods do not always naturally translated.Future work should focus on better
implement the SSDS and illustrate the findings when usingthis survey pre- and post- course with students who participated in WPSI across threeuniversities during the Fall of 2014. Results from these components are triangulated withstudents’ end-of-semester written reflections and participating instructors’ course experiences.This qualitative component allowed us to consider how WPSI might be improved in future Page 26.508.3iterations, as well as broader implications of the SSDS and WPSI for engineering educationcourses and curriculum.For anonymity, throughout this paper we will refer to course offerings as Course 1, 2, and 3. Thisframing puts the
on a four-stage cycle shown in Figure 1 that, while it can beentered into at any stage, is explained as follows. Concrete Experience (Facts) Active Reflective Experimentation Observation (Futures) (Feelings) Abstract Conceptualization (Findings) FIGURE 1. KOLB’S CYCLE OF EXPERIENTIAL LEARNING.First
graduate skills highlight a number of deficiencies in the preparation ofstudents for professional careers. Among the most commonly noted gaps between expectations andactual skills are • the ability to understand software systems as different than single-user programs; 6,51 • the ability to visualize different perspectives or views on a software system; 10,11 • the ability to think critically and reflectively; 31,38 • systems analysis and design skills; 6,31,51 and • problem-solving and investigative skills. 6,10,11,31 As more and more of our world becomes dependent upon computer-based systems, futuresoftware developers and designers must develop effective decision-making skills and strategies inaddition to the technical knowledge they
critiques, however, the choice of selected challenges is narrowlytechnological; reflects some of the committee members’ own research or institutionalinterests; and places little emphasis on simple, low-tech solutions and problems ofequity and social justice.21,22,23 Moreover, it does not seem to represent “people’s” ownviews on what engineering challenges compromise their ability to “thrive” and howengineers can help address these challenges.In her discussion of the Grand Challenges, Cech aptly evokes the “god trick,” a termcoined by science and technology studies scholar Donna Haraway.11 The “god trick”refers to the mythic ability of officially sanctioned technical experts to see “everythingfrom nowhere” – that is, from a position of complete
examination.Research questionAs presented in the literature review, the use of alternative assessment is limited because it isdifficult to design and implement an instrument that will ensure that the results of the assessmentwill reflect in an objective way what the students know about the assessed topic. It is commonknowledge that written exams prepared following the protocols are valid and reliable. In thisresearch, a procedure to produce a self-directed final project assessment will be tested and thegrade of the projects produced following the procedure will be compared with the products ofother conventional assessment tools used previously in this course. These tools have beendesigned following the scope and sequence of the course and tested by external
classesAbstractIn this evidence-based practice paper, we report on peer oral exams, a cross between oral examsand peer assessment, as implemented in a high-enrollment undergraduate computerprogramming course for engineers. The idea was to leverage the educational andimplementational advantages of both evidence-based approaches simultaneously. Oral exams,for instance, have been argued to promote conceptual understanding, self-reflection,communication competency, and professional identity formation in students – but theirdeployment in large classes is resource-demanding and nontrivial, stifling their broader adoption.Peer assessment, on the other hand, is highly scalable and affords students many potentialeducational benefits of its own, including the
participated in the aforementionedsummer program are granted a degree of autonomy in how they approach teamwork in theircourses and chose to implement the equitable teaming tools from the Summer 2022 workshop tovarious degrees in their classes in the Fall 2022 semester. The full list of available teaming toolsincluded: 1) pre-readings related to the importance of diversity on teams, 2) individual assetmaps encouraging students to explore how their own backgrounds could be valuable and appliedin the course, 3) team asset charts designed to facilitate a breakdown of work for teamassignments in a way that draws upon the diverse backgrounds of all team members, and 4) teamprocessing documents guiding students through reflective questions regarding their
teammembers’ expertise as well as their high level of social perceptiveness, resulting in an increase ofparticipation and a decrease in biases amongst team members [4]. Women working in teams alsodemonstrate higher interactive and co-operative work styles that improve a team’s overallprocesses and management skills. Garcia et al. [5]and Ostergaard et al. [6] found an increase indiverse knowledge and perspectives that originated from different career paths due to thecomposition of gender-diverse teams.Some studies also consider that diversity could create discomfort in teams because social identitypredicts that the difference in knowledge, and experience can make communication difficult andincrease competitiveness [6]. This may be reflected in
, I feel it is valuable to disclose my position as an author, including the identities I hold,the privileges I am afforded, and the perspective I bring to understanding engineering researchculture. I am a Black, cisgender man, and a Ph.D. student studying engineering education. I amalso a recipient of a stipend from the National Science Foundation (NSF), so I am a directbeneficiary of the engineering research “culture,” or system as it stands. This work-in-progresspaper is directly tied to my own experience and the experiences of colleagues that are alsoengaging in engineering research culture. Through rich conversations and reflection about thespaces in which engineering researchers operate, I began to question the underlying valuesystems
that welcomes any studentto use it for project work, studying, collaborating, or meeting with fellow students. It is staffedmostly by student interns; between 8 and 12 students each semester get experience in a workatmosphere that resembles a small prototype shop. They maintain and troubleshoot equipment,work with “clients”, enforce safety, run workshops, develop equipment expertise, and assist withthe long-term development of the lab mission and goal fulfillment.Need for Change in Engineering Design GraphicsEngineering Design Graphics has many concepts that can be dry and discourage freshmanengineering students from persisting when taught with a theoretical focus. This is reflected inthe historically high attrition rate observed for this
arevaluable resource, it is seldom that more than a fraction of the existing knowledge in a field isput into writing” (p. 141). Hence, this research will attempt seek information about what studentsare learning as it relates to the SLOs and attempt to categorize the perspectives of what studentsare learning during an internship within Bloom’s taxonomy.Students were asked within the student learning management system to reflect on several guidedquestions as they relate to the SLOs. The following list of questions were used to identify thedata as it related to the SLOs as identified within eight different modules. Each of the specificquestions are specific to Bloom’s taxonomy and follow a sequence of deeper learning as thestudents progress through
instructional decision making in a middle school informalengineering summer program; this research is intended to highlight ways in which middle schooleducators in informal science institutions and classroom settings might facilitate engineeringknowledge, skills, and practices. This is in response to recent advances in precollege science,technology, engineering, and mathematics (STEM) education. The evolving engineeringeducation landscape has necessitated new ways of teaching and learning that reflect rapidtechnological advances in the global economy. The Next Generation Science Standards (NGSS)have ushered in an era of STEM integration in K-12 science in the U.S. [1]. These standards,based upon A Framework for K-12 Science Education [2], proposed a
of the lesson’s content structure were found to clarify the topic? - What aspects of the lesson needed improvement to bolster learners’ understanding? - The overall assessment of the asynchronous instruction in the video lesson? Step 3: All reviewers individually reflected on the effectiveness of the designed video lesson, provided feedback in the form of a voice thread, and posted comments. Step 4: All reviewers had an open discussion about the components of an effective instructional lesson. Step 5: One reviewer from the reviewers' team was assigned to recap feedback to all classroom students.Table 2Demographic identity of reviewer teams -- graduate students No
, discuss thecomponents of a design object created by the model, and highlight assumptions the model carriesfor design objects. Next, we compare the models, their assumptions, and their components.Finally, we explore implications from this comparison for teaching, selecting models to guideinstructional design, and learning in the form of reflective questions for instructors.Model 1: Engineering DesignFor the “traditional” engineering design lens, we draw upon the influential engineering designmodel from Dym (see, [9]). Objects designed through this model are intended to meet severalcriteria within the scope of a set of constraints. Object are intended to perform some functionswithin this space, addressing both criteria and constraints. These
their prior knowledge,motivate themselves, plan, and set learning goals (forethought, planning, and activation phase).Then they continuously monitor their progress towards their goals (monitoring phase) and adapttheir learning strategies to meet these goals (control phase). At the end of the specified task,learners evaluate their performance and consider how to approach a similar task in the future(reflection and reaction phase). The phases of SLR can be applied to four areas of regulation:cognition/metacognition, motivation/affect, behavior, and the learning context in which studentsare situated. Error! Reference source not found. organizes this framework into four stages andareas of regulation. SRL is relevant in the MEB context where
participation in engineering have almostexclusively focused on the barriers Black and Brown students face in engineering education [3],[4]. Similarly, other research efforts have primarily focused on instructors’ evidence-basedteaching strategies at Predominately White Institutions (PWI). Some of the change strategiesinclude diffusing and implementing curriculum and pedagogy; creating faculty learningcommunities that promote reflection among instructors; and developing an organizational culturethat supports new knowledge [5]. While these change strategies are instrumental, within theircontext, there is a need to understand how to institutionalize change wherein equity is at thecenter and results in disrupting the status quo regarding who gets to be an
theoretically by Thinking as Argument (TaA)[5]. The third interview will explore their personal narrative, and the fourth interview (or sometype of interaction) will be designed based on how the project evolves and what we learnbetween now and then. As of the 2021-2022 academic year, we are in Year 2 of the study, andthis paper describes our emerging insights based on completing data collection for the first twointerviews, consistent reflection and discussion within the research team, and some preliminaryanalysis.MethodsRecruitment and SelectionWe recruited the participants for this study primarily using a crowd sourcing approach. We sentan email to the listservs for campus affinity groups with concentrations of students with identitiesthat are
with reading and writing HCD research papers.Our research goals were to identify challenges of integrating aspects of HCD in STEM educationand identify HCD-related learning opportunities afforded by the project topic of 3D printedprosthetics. We reflect on this capstone in order to understand best practices for integrating HCDtopics with STEM education, particularly for engineering and computer science students. Weanalyzed data collected while running the course to understand which HCD topics lendthemselves well to the project topic, the extent to which students drew on prior HCD knowledgefrom previous courses, and what kind of guidance was most effective.The contributions of this paper are 1) the design of a semi-structured capstone course
. Carlson Award, the 2020 TEES Faculty Fellows Award, and the 2011 Charles H. Barclay, Jr. '45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, reflected in her publications,research, teaching, service, and mentoring. She has also been recently appointed as the Speaker-Elect of the FacultySenate. More at http://srl.tamu.edu and http://ieei.tamu.edu. © American Society for Engineering Education, 2022 Powered by www.slayte.com Assessing Engineering Sketching Skills on Object Assembly Tasks
represent the culminating experience for engineering students, and as such takeon a central role in every engineering curriculum. In addition to introducing a range of learningobjectives that vary from institution to institution, they very often constitute a core element of theABET accreditation effort [1]. They also offer an important bridge to industry, with implicationsranging from student hiring, to strengthening departmental bonds with participating industry [2],[3]. Capstone courses are also becoming increasingly multidisciplinary to reflect the nature ofthe profession, however this progression remains difficult due to differing timing and assessmentand evaluation requirements of the different disciplines [4].The typical learning objectives