] Kisselburgh, L., Hess, J., Zoltowski, C., Beever, J., and Brightman, A. (2016). Assessing a scaffolded, interactive, and reflective analysis framework for developing ethical reasoning in engineering students. In: American Society for Engineering Education Annual Conference. New Orleans, LA.[16] Douglas, K. and Purzer, Ş. (2015). Validity: Meaning and Relevancy in Assessment for Engineering Education Research. Journal of Engineering Education, 104(2), pp.108-118.[17] Bollen, K. (2014). Structural Equations with Latent Variables. New York, NY: John Wiley & Sons.[18] Gignac, G. (2009). Partial Confirmatory Factor Analysis: Described and Illustrated on the NEO–PI–R. Journal of Personality Assessment, 91(1), pp.40
instructor hadnever taught a course in “Cognition and language,” which was ranked fourth in terms ofusefulness be respondents. While far from definitive, such factors might support the idea that theperceived usefulness of a workshop reflects its connection to the focus of the related REUprogram vs. instructor familiarity with teaching the related topic.Prospects for Future ResearchWhile the ideas noted here are interesting in terms of a pilot study, more work needs to be doneto determine how effective such workshops are within the context of an REU program. 9Similarly, collecting and analyzing more data over longer periods of time is essential
limited amount of water, meaning it can be used in minimallyequipped instructional spaces. On account of the simple apparatus, parameters such as tubinglength and the elevation of the water reservoir are easily varied. This allows students to carry outsuch valuable exercises as calibrating their analytical models to experimental results on abaseline configuration, and then investigating how well the calibrated model can predict the flowwhen the geometry is modified. The paper includes a description that will allow others to easilyreproduce the apparatus, and also reflections on the utility of the exercise as an educational tool.IntroductionDeveloping an ability to use a combination of analytical and experimental tools to solvetechnical problems
juniors andseniors, provided they meet the prerequisite of Microprocessor Design.It should be noted that this paper exclusively addresses the IoT-based enhancements to theEmbedded Systems course, roughly lasting between one and two weeks towards the end of thequarter. In both instances, the IoT projects were designed to be in contrast with the main classproject in that the latter was designed and taught as a gradual development that involvedexperimentation, deliberation, reflection, and a close-to thorough study of its theoreticalunderpinnings from the field of computer architecture. The former, on the hand, were designedto be fast implementations where students would get a taste of quick deployment thatincorporates networking, signal processing
andbusy professionals targeted by the D.Tech. Beyond just a constructivist approach, the designteam was guided in particular by the valuable insights in the previously cited How PeopleLearn II. We were informed by Chp. 4 Processes that Support Learning which led to ourengaging candidates in collaborative knowledge building (e.g., by cohort construction of afield’s/process’ knowledge base using Wiki technology). We also incorporated self-regulation of learning as required by our mix of synchronous and asynchronous learningactivities. Then, to insure critical reflection, we installed frequent opportunities for self-assessment (of the quality of their information sources and subsequent analyses of theextracted material; of their writing and
acceptable.The civil engineering body of knowledge was updated in 2008 to reflect changes in theprofession and shortcomings in the first version [6]. The new CE-BOK2 was formulated firmlywithin a Bloom’s taxonomy framework [7], meaning that the expected knowledge (along withskills and attitudes) was prescribed in terms of a number of outcomes and corresponding levelsof achievement specific to civil engineering. Common pathways for fulfillment are also 2outlined, comprising of a bachelor’s degree, a master’s degree or equivalent, and pre-licensureexperience. The term “or equivalent” is described in CE-BOK2 as “approximately 30 semestercredits of
period of time [18]. Student-to-student engagementactivities in an online course can include collaborative tools such as discussion boards, groupprojects, wikis, blogs, journals and peer assessments etc.• Threaded DiscussionsThe online threaded discussion provides students an opportunity to participate in virtualconversations at any time and any location. It can help students synthesize knowledge intounderstanding of the weekly course learning objectives. Evidence showed threaded discussionsincreased the amount of time students spent on class objectives comparing to face-to-facediscussion as in an onsite class. And the students appreciated the extra time for reflection oncourse issues [4]. It was also reported that online threaded discussion
WayneBishop Jr., Head of Marketing at Omicron Electronics Corp, Wayne remarked “The [energy]industry is constantly impacted by emerging and disruptive technology. How you view thetechnology reflects on your organization’s approach: If it’s emerging, it’s because you’reproactive. If it’s disruptive, it’s because you’re reactive.” While ACE strives to understand andengage with our corporate partners and react to their needs in deep and meaningful ways, theorganization must be proactive in its approach to industry partnership by working from the sameside of the table as our corporate partners in navigating industry challenges on the horizon.ACE seeks out opportunities to better envision and shape the future of the industries with whichwe work. Members
. Interest in STEM and Achievement of Course GoalsIn addition to the word frequency analysis, students provided feedback on whether the labsequence increased, decreased, or did not change their interest the field of chemistry and alsotheir interest in pursuing research. While just under half (49%) of the students surveyed reportedan increased interest in the field of chemistry, over 60% reported an increased interest inresearch.In terms of achieving the content goals of the course, the water quality sequence aligned wellwith learning objectives for the course. Table 3 shows the correlation between the lab topics andlearning objectives from select lessons. This alignment was reflected in an 89% agreement fromstudents surveyed that the lab sequence
developsover time.AcknowledgementThis research is based upon work supported for the National Science Foundation (NSF) underaward EEC-1623125. Any opinions, findings, and conclusions or recommendations expressedare those of the author(s) and do not necessarily reflect the views of the NSF. 10References 1. Chachra, D., Kilgore, D., Loshbaugh, H., McCain, J., & Chen, H. (2008, June). Being and becoming: Gender and identity formation of engineering students. Paper presented at the meeting of the American Society for Engineering Education, Pittsburgh, PA. 2. Pierrakos, O., Beam, T.K., Constantz, J., Johri, A., & Anderson, R. (2009). On the
Model.Previous studies have demonstrated that engineering students have differing learning styles.According to Kolb each student’s learning style is divided into four distinct learning modes;accommodator, diverger, converger, and assimilator. 4 These learning styles are summarizedas:4,5,6Converger: person who is best at determining how to apply ideas to resolve a problem; oftenchoosing the engineering professionDiverger: someone with a strong imagination who can generate ideas, with a focus on people andrelationships; frequently found in managementAssimilator: describes those who observe, reflect, and effectively develop theory to logicallyexplain conditions and situations; common trait for scientists and mathematiciansAccommodator: person who thrives
teachers and students monitor progress.”When planning a formative assessment, Fisher & Frey [24] recommend starting by identifyingthe desired outcomes of the instruction session, adopting appropriate class activities to create anengaging lesson, and considering what evidence would be acceptable to demonstrateunderstanding. Class activities that may be considered are pre- and post-tests, various classroomassessment techniques (CATs) with active learning components (e.g., reflection, summaries,questions throughout the lessons, misconceptions checks, short responses, online games),teamwork, peer teaching, etc. CATs represent an excellent way to engage with the audience, andthey can be used at any point during a session to provide immediate
Students are not supported to analyze data or constructively as they design iteratively. reflect on failures. Designs are not improved. Students' collaborative work is supported and Students may work together in teams but are includes negotiating with team members not given support to do so. Students are encouraged to be creative, The design challenge is open-ended but brainstorm, and consider a multiplicity of development of multiple design ideas is not ideas and possible solutions. discussed or supported in the curriculum. Teacher guide supports engaging prior Teacher guide focuses on how to explain knowledge, prompting reflection, and content to students and the
/value. [Accessed: 13-Aug-2018].Appendix A – ONU Expanded KEEN Outcomes (3C’s only)1. Related to Curiosity a. Develop a propensity to ask MORE questions. b. Be able to formulate SALIENT questions. c. Question information that is given without sufficient justification. d. Collects feedback and data from many customers and customer segments. e. Recognize and explore knowledge gaps. f. Critically observes surroundings to recognize opportunity. g. View problems with an open mindset and explore opportunities with passion. h. Be able to self-reflect and evaluate preconceived ideas, thoughts, and accepted solutions. i. Explores multiple solution paths. j. Gathers data to
informal learning process. Researchsurrounding learning spaces in libraries has emphasized use of collaboration and flexible spaces,but these studies have been conducted to inform space design decisions rather than to assess theimpact of those design decisions [2]. This study aims to fill the gap by investigating theunintended benefits of a new flexible classroom through a post-occupancy space analysis.BackgroundThe way a space is designed is often reflected by its primary usage. Certain aspects of a learningspace, including formal spaces like classrooms and informal spaces like study rooms, includefeatures that indicate that a room should be used in a certain way. These features are oftenreferred to as affordances and define the intended purpose
the overarching framework for curricular design that thecommittee used, with some concrete examples of the results. Understanding that all educationaland institutional contexts are unique, the committee offers its reflections on this process as a casestudy for an anticipated growing phenomenon—the design and refinement of curricula ingraduate-level engineering education as a formal discipline (Walker et al., 2008).Program GoalsThe committee spent the first several meetings brainstorming, developing, and refining clearbroad descriptions of what students in the engineering education doctoral program would knowand be able to do at the time of graduation. Some of these were standard graduate level cognitivegoals, others were affective and
, Solutioncompletion and Solution accuracy. Each item in the revised PROCESS consists of four scalinglevels ranging from 0 to 3 with zero being the minimum attainable score for each item. Anyidentification regarding group identity was removed prior to scoring and replaced with a project-assigned ID number to maintain privacy and to mask group membership from raters. All students’solutions were scored using the PROCESS rubric after the semester. Thus, PROCESS scores donot reflect or have an effect on students’ course grades.Raters’ scores for a subset of student solutions were analyzed to determine how consistently ratersmeasured student problem solving ability. Traditional statistical (Cohen’s kappa) and itemresponse measures (Rasch many facet model) of inter
opportunities.Qualitative ResultsQualitative feedback from KickStarter participants collected in regular surveys during theprogram indicate that the KickStarter process is highly valuable in building strategic STEMeducation research capacity at the 24 participating 2-yr HSIs. Participants have also reportedimproved ability to achieve other federal grants. Examples of qualitative comments include:KickStarter has provided us with the infrastructure to develop a strong leadership team,evidence-based goals and a strategic action plan, and well-written proposals that reflect NSF'sambitions.Everyone at the college involved in STEM agrees about the goals in the STEM plan. Making thegoals more tangible and focused is helping us to anchor proposals in a way we
learning, project-based learning, inquiry-based learning, andchallenge-based learning.In the Control Systems course in the Electronic Systems Engineering Technology (ESET)program at Texas A& M University, students were introduced to the Maker Culture in class.Laboratories were re-structured to support students’ effort to work on course projects that theychose on their own. This had a positive impact on the motivation of the students. A Mini-MakerFaire was organized at the end of the semester where student did demo and presentation. Theproject evaluation was also changed to reflect the Maker Culture spirit: whether your designworks or not is not as important as what you learned in the process.Although the subject has been discussed by many
(includingcommunicating, persuading others, setting goals, and problem solving), and suggest that futureresearch also evaluate cognitive and affective outcomes, as these have been shown to beimportant in shaping behaviors (Kahle & Berman, 1979). Their review also indicated that mostprograms used approaches to program implementation that were convenient and inexpensive andsuggest that programs should include more practice, such as reflective activities, role-play, goalsetting, and games. Given that the majority of programs used self-report assessments, Reyes etal. also suggest that researchers consider best practices for program evaluation, in particular, toavoid endogeneity concerns within the evaluation data. Through their meta-analysis, theyidentified
of Science Categories assigned to each paper.In total, 94 separate Categories were present. Table 1 shows the results of all Web of ScienceCategories applied to at least 4% of papers (60 or more articles). A table with the rest of thecategory results can be found in Appendix A. In Web of Science, multiple Categories can beassigned to each journal or publication, so records will often have two to four Categoriesassigned to them. This is reflected in our results, as the sum of the papers in each categoryexceeds the number of papers examined (1408) and the summed percentages exceeds 100%. Table I Web of Science Categories applied to systematic reviews
reflect on their full rangeof projects. We conducted one focus group interview with three students from one team in energyengineering and six individual interviews with students from energy engineering, civil engineering,and computer engineering (Table 2). Since this is a work-in-progress, we reported our primaryfindings based on the group interview and six individual interviews. In our next step, for triangulationand enrich data with different aspects of students’ learning experiences in PBL, we planned to conductfocus group interviews firstly, and then invite same students from focus group interviews toparticipant in individual interviews.In the data analysis process, all interviews involved in this study were transcribed and reviewedcarefully
process [22].Kolb’s model draws heavily upon the concept of learning styles and several of the forgoingsuppositions have elements of learning style doctrine within them. According to Healey andJenkins [24], learning styles reflect a diversity of environmental considerations including thoseattributable to gender and cultural differences. Willingham, et al. [25] and others [26]–[28],however, contend that there are inherent problems with the learning styles theories and that theylack scientific rigor.Kolb’s model suggests that experiential learning can be characterized as a four-phase cyclicmodel. Under this model, learners (1) have an experience, (2) reflect on the experience, (3)conceptualize what they have experienced into a model or theory and
questions, three map to the environment. Gendered effects of performance in CS areinfluenced by the social environment, whereas programming experience in high school or undergraduateeducation beyond introductory CS is reflective of the opportunity that students have in their pre-collegeenvironment. We also take students’ grades in the linear algebra course to be reflective of theirenvironment, rather than their ability, because the programming assignment we study involved forming anAx = b matrix from a set of equations. Based on students’ difficulty with this concept in class, wehypothesized that having prior knowledge of linear algebra would be helpful on this programmingassignment. And therefore, students who had the opportunity to take advanced
the needto increase the number of URM graduate students, and also reflects the importance of includingour URM undergraduate students in the program. White Asian/PI Latinx Black 14 Number of Participants 12 10 8 6 4 2 0 2.5 (Sp'19
place whereall their needs will be met. Similarly, caregivers, such as physicians, nurses, therapists andmedical or biological researchers, find a place where their efforts to aid those in need of care arenot hampered by real-world limitations in time and resources.Figure 4: Caring IslandAnalysis of DataAs mentioned earlier, the literature reflects the difficulties in identifying reliable assessment toolsfor ethics education. [7, 8] A mixed methods approach has been employed to gather data aboutstudent self-assessment of course efficacy overall and of individual aspects of the course.Students answered survey questions, in addition to filling out freeform comments. Feedback wassolicited from former students in GESM 121: Science, Literature and
, findings, conclusions andrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe National Science Foundation.References[1] J. Roy, Engineering by the numbers. Engineering College Profiles & Statistics ASEE, 2019.[2] N. Dlodlo and R. N. Beyers, “The experience of girls in a fabrication engineering environment,” Gender Technol. Develop., vol. 13, no. 1, pp. 127-135, 2009.[3] APS Physics, Bachelor’s degrees earned by African Americans, by major. https://www.aps.org/programs/education/statistics/aamajors.cfm accessed Nov 24, 2019.[4] A. A. Bergerson, B. K. Hotchkins, and C. Furse, “Outreach and identity development: new perspectives on college student persistence,” J. College Stud. Retention, vol
springs and valves, not to mention water passages and holesfor fasteners.”“This project was my real first use of editable parameters in CATIA, which undoubtedly is goingto be useful. I also got a better sense of how to design things in such a way that they won't allbreak the second I change a little detail up in the design tree.”“I had a basic understanding of port flow characteristics, but had no idea about tapering thecross-sectional area towards the valve or how important the shape of the bottom edge of therunner meeting the valve seat was. Also, how the shape is ideally a D sort of shape and howoften car manufacturers throw that out of the window (looking at you, LS cathedral-portheads).”Student comments reflect improvements in student
helped them smoothly into the stage ofsenior project design. Exposing them to the powerful ARM MCUs challenged them with reading thousandsof pages of technical documents, but also trained them to grasp skills required by future industrialprojects. Students’ reflection on this effectiveness will be given later in Section IV.III. Efforts in Meeting Students’ Needs from Different DisciplinesStarting 2017, UWT launched the EE program, and TCES430 was offered to both CES and EE students as abig class. This brought new challenges to effective teaching due to (1) the large class size (2) diverseengineering backgrounds of the student group.Our efforts to ensure students’ learning outcomes include the following: (1) To maximize project-centered
and frameworks for engineering education need to support development of technicalaptitude and general (meta) competencies [25, 26], that is, those skill sets that enable students tocommunicate effectively, work in teams, operate in complex organizations, meet quality standards,and transfer task-specific skills to new challenges or tasks [27, 28]. Our proposed development ofadvanced UAS technical professionals will be grounded in Kolb’s [29] work, which provides amodel of experiential learning with four stages (i) Concrete Experience: the learner must be willingand actively involved in the experience; (ii) Reflective Observation: the learner must be able toreflect on the experience; (iii) Abstract Conceptualization: the learner must possess