underlying Well-being and developmental programsand addresses the theories in relation to teachers. Author Theoretical Background Relevance To Teachers & Year Diener, Diener’s Subjective Well-being explores Teachers’ Subjective Well-being has 1984 the perception of the individual about been shown to influence their view on his/her life. It reflects the positive and work and their overall satisfaction with limiting emotional reactions to one’s life [27]. It has been predominantly noted satisfaction with life [26]. This theory by that teachers with decreased levels of Diener shows Well-being as an outcome
activities into LMS in anorganized manner. Online teaching can be classified into synchronous and asynchronous formats. Adifferent approach is required while integrating active learning in both the formats. Student learning andperformance can improve by integrating Active Learning and Metacognition (ALM) strategically throughstructured activities. The author [13] offered thermodynamics course online in synchronous format andimplemented ALM using two-part activity. The first activity is Explained Examples where students pair upand discuss given example problem. Students will then watch the instructor work through the exampleproblem and then write a reflection paper on their observations. This experience will help students gainknowledge in the subject
learning activities to promote students’ deep learning.Cognitive psychology literature shows that students do not necessarily learn concepts deeply bysolving problems, unless they monitor their thinking and decision-making process before andduring problem solving, and reflect on the process after will help to conditionalize theirknowledge, i.e., when to use what knowledge to solve the problem.In this paper, we present a study on a multidimensional approach to enhancing students'reasoning skills by integrating a variety of explanatory learning activities, namely oral exams,written guidance prompts for homework which asks students to justify their problem-solvingprocess, and video assignment in which students perform group-explanation on
circle modeldemonstrated that peer-to-peer tutoring resulted in improved written communication thatdemonstrated higher-level critical thinking outcomes from students further along in theirprogram of study written communication [7]. However, the writing circle approach requires ahigh level of commitment, time, and money for the training and its continued use. Eachapproach, regardless of the academic year of the students, had a positive result, with some of theparticipating students reflecting that the process helped them to become better writers by seeingthe work of others [6] [7].Collaborative ApproachesA collaborative approach that comes from forming a collaborative relationship between STEMinstructors and writing center staff can result in
employers, and posting must be done cautiously and withethical consideration. Students are asked in an assignment to highlight the four ways to use socialmedia professionally: minimize their profiles, create the presence wanted, make it private andGoogle themselves. The students are asked to reflect on what their digital footprint says aboutthem and list the steps to take to change or enhance their professional profile.Papers and Industry CodesIn my higher level course, papers are assigned that address ethical practices and situations.Additionally, professional codes of ethics are studied to inform students and familiarize themwith the codes, emphasizing that industry does require and expect ethical behavior. The codesare studied and also applied
reflects the feedback-based nature of designin the industry. The industry cycle for a project involves evaluation of an initial design byexperienced engineers. Adjustments, improvements, and corrections are made in several rounds asneeded in order to achieve the desired outcome. This approach is not typically emulated inundergraduate courses. Students often only have one evaluation of their work, and are often notprovided the opportunity to iteratively improve their work. The Valid Assessment of Learning inUndergraduate Education (VALUE) rubrics were followed for designing the project. The specificindicators in the VALUE rubric that the project assignment addresses include: creative thinking,inquiry and analysis, integrative learning, and team
to those published on the TeachEngineering Digital Library(https://www.teachengineering.org/). One of the modules – Surface Tension in Water has beenpresented twice to different community partners. Evidence of engagement in our service-learningactivities can be found on our website (https://publish.illinois.edu/service-learning/).As we reflected on the experience of expanding our service-learning effort, one importantstakeholder that has been absent so far is K–12 educators. Although we have partnered with severallocal schools, direct contact has always been with the administrators. In order to produce STEMmodules that fit the needs of K–12 students in their classrooms, we believe it is of paramountimportance to
outside of their field (µ=8.62, σ=1.52) than the graduate program control group (µ=8.00,σ=1.89). On the other hand, ethics class alumni rated “academic freedom and free speech” (µ=8.31,σ=1.68) slightly lower than the graduate program (µ=8.57, σ=1.64). The ethics class alumni alsovalued listening to professionals within their field (µ=8.37, σ=1.60) slightly less than the controlgroup (µ=8.57, σ=1.40). However, neither of these differences were of statistical significance(p>0.05). Figure 3: Importance of Various Parameters on one’s Ability to Act EthicallyDiscussionAlumni of the ethics class had different priorities for their professional careers and lives asengineers and scientists (Figures 1 and 2). This may partly reflect a self
mind map was created as shown in Appendix A.Two very important points should be made about the mind map as presented here. First, a mindmap is simply a way to organize ideas, concepts, techniques, etc. It should not be considered aone-size-fits-all final objective document. It should be considered a living document wherein thecontents can be expanded, techniques can be moved to other levels or removed altogether, etc.For example, there are no set rules on the amount of time spent on a Rank Order and how deepof a learning impact it may have on the students. The author has witnessed a Rank Order withonly five items to rank by each individual student for a total class time of about 8 minutesincluding reflection. Also witnessed is a Rank Order
unnecessary work which is pain to do and he (the instructor) grades strenuously.”“As it is now, this course is a waste of time and does little to aid future engineers.”“For a one credit seminar class, your (the instructor’s) grading on the homework/quizzes washarsher than most students felt it should have been.”“You (the instructor) have minimal experience at a company…”Apparently, this course failed to achieve its goals and objectives and needed significant changes.Upon reflection, the author found that the students’ critiques had mainly focused on three aspects:(1) the coursework was excessive for a one credit seminar class; (2) the grading was too harsh; (3)the instructor (author) did not have the experience and credibility to some contents such
inaccurate or may nothave been appropriately maintained by the appropriate institutional office. As CurricularAnalytics is applied more broadly, reflecting on current practices and considering how thisframework can be expanded to capture more nuanced curricular representations is valuable. Research AimThis paper recounts the obstacles encountered during the data collection process for alongitudinal multi-institution project employing Curricular Analytics and offers the dataconventions we developed to overcome those obstacles. We outline these procedures not onlyfor transparency, but also to assist other researchers and practitioners who want to use theCurricular Analytics framework at scale. Given the lack of
Community” First- Year Engineering Experience Conference, Michigan State University, August 2022.10. C. B. Zoltowski, and W.C. Oakes, “Learning by Doing: Reflections of the EPICS Program”, Special Issue: University Engr. Programs That Impact Communities: Critical Analyses and Reflection, International Journal for Service-Learning in Engineering, 2014, pp. 1-32.AppendixIBE Curriculum Requirements Integrated Business & Engineering Courses Business Core Courses (37 Credits) Engineering Courses (6 credits) Introductory Accounting (MGMT 20000) General Chemistry (CHM 11500) Accounting I (MGMT 20100) Analytical Geometry & Calc I (MA 16500) Microeconomics (ECON 25100
the problem that has been proposed to them. In theMDC course, the instructors have the students spend 4 weeks at the beginning of the projectidentifying the problem and root causes before beginning work on possible solutions. Thisprocess was emphasized for students to reflect and modify their problem identification as theygain knowledge progressing through the design process. The instructors reinforced thisrelationship between their performance and knowledge gained through revisions to past writtenreports that were used to build on their project. Retrieval practice helps students to monitor their learning by encouraging them to retrieve priorknowledge [30 – 46]. The MDC instructional team implemented this practice by giving writtenfeedback to
is important for ensuring that interventions are adequately designed to supporttheir teaching development. This study used semi-structured interviews to investigate challengesand support structures that early-career engineering faculty experience during their initialtransition into the classroom. The outcome of this study will help faculty personally reflect ontheir teaching experiences and support the design of appropriate professional developmentactivities addressing actual challenges that early-career engineering faculty face.PositionalityThe primary author of this paper is an international graduate student in an engineering educationprogram who aligns with a social-constructivist perspective, which centers his understanding ofthe
reasons for significant changes One speculation for these changes in overall student performance is that they reflect going fromthree exams per semester to four. This leads to less content per mid-course exam. But when it comes to afinal exam when students are required to illustrate overall knowledge of the course material, they werenot able to retain and show comprehensive knowledge, resulting in a dip on their final exam. In addition, logistics of having students take online exams while still allowing for grading ofhandwritten work, required allowing students an extra 15-30 minutes upon completion of their exam toscan their handwritten work and upload it to Blackboard for partial credit grading. Extra time allotted tosubmit exam
populations.As the institution being studied, the junior-level MSE lab courses have robust computational modelingand simulation curricular content. Our findings therefore suggest a strong positive impact that frequentuse of simulation tools in MSE courses can have on students’ attitudes toward these tools in the contextof engineering work. However, because we did not directly measure students’ actual competency, butonly their self-efficacy, it is not clear whether their lack of confidence with these tools accurately reflectsa low level of proficiency or whether it reflects a greater level of appreciation of the complexity of thesetools, which novices would not appreciate. It would be valuable for a future study to examine therelationship between actual
structure [3]. During the laboratories, students have the opportunity torevise their understanding of the material learned in lecture and interact with robots, observingthe real-world application of the abstract concepts covered in the homework assignment.Students are actively reviewing the same topic, which can increase their performance in the class[1]. Additionally, based on the taxonomy introduced in [4], the hands-on laboratories canactively engage students who are physically handling the robots and reflecting on the conceptslearned in lecture. In other words, lecture is generally regarded as a passive learning activitywhereas the “labture” format can be regarded as active, constructive, or interactive, depending onthe activities designed by
1 450 Required and reflections laboratory work Yes, Lecture topic: introduced lab exercises to encourage integration ECE 343 Electronics laboratory course 3&4 100 Elective of experiences across related courses to explore new solution spaces of an
of fourteen undergraduate College of Engineering and College of Sciences and Arts students’ answers to Q1: What do you think are 3-5 hard things about searching? And Q2: Which ones are cognitively complex? (star) Why? To create this study’s task diagram shown in Fig. 1, we first systematically workedthrough the answers to Q1 and sorted the data into categories. Although the words used todescribe the challenging aspects of search differed slightly among participants, the top-levelcategories reflect the common themes as analyzed by the author. Following best practices for thistechnique, we made multiple passes through the data in case new insights popped out [6]. Wethen placed the final categories at the top level of the
the 1,656 paths leaving engineering via Industrial, 45.7% of them terminated inSeries 52 Business (Table 5). While Business was also the overall most common non-engineering destination for transfer paths which started within engineering (19.6% of suchpaths), the list of the next highest frequency destinations (Computer Science, 12.7%; PhysicalSciences 7.4%; General Studies, 6.9%; Biomedical / Biological, 6.6%; Social Sciences 6.2%;Engineering Technologies, 6.2%) is not reflected when considering only Industrial.Table 5. Non-engineering Destinations for IE Origin (n=1,656) CIP Series Origin Percent 52 Business 45.7 15 Engineering Technologies 7.8 45
on their form as there is a large pool of random examquestions for each topic (around 30 versions of each question). Exam Reflection Form Topic: What steps I took to solve the problem: What I misunderstood and what I should have done: Notes: Figure 5: Exam reflection tool used by students when going over incorrect exam questions.As an example, Figure 6 shows a fill-in-the-blank question on non-strict parameter passing; passby need.In order to prevent unnecessary re-attempts to achieve a perfect score on questions where thestudent has already achieved a score of 90% or higher, all such scores are converted to 100%credit. The difference between a 90% score and 100% typically comes down to typos rather thana lack of understanding. This
, actually, because I think we started leaning a lot more on like coding and stuff.So, I think that would help in what I’m trying to do after the degree.”The other student who felt prepared as a result of the impact of the pandemic claimed that theydeveloped better in terms of personal growth and organization. They reflected that the transitionto online instruction led them to spend more time on the internet and allowed them to learn fromonline resources and gain better computer skills. The student believed that these skills wouldprove to be useful in the industry, saying: I was able to actually learn how to work on my own during this time and I was able to actually learn how to get stuff on my own.... So, it’s helped me in that way
fluidmechanics concepts. Participants were provided with a worksheet to guide them during theexperiment. The worksheet contained steps for the participants to perform during the experiment.The worksheet allowed the participants to think and reflect on the concepts being taught.Afterward, each participant was given a post-test to examine how much they had learned duringthe instruction. They were then required to respond to the motivational/engagement survey.Participants received links to the online motivational survey administered via Qualtrics© at theend of the LCDLMs sessions. The survey prompts asked participants to reflect on their LCDLM-facilitated instructions and report how well they believed experiencing LCDLMs instructionhelped them to engage in
numerous educators and academics, but resultsabout its impact on learning have been mixed, partly because of a dearth of data [11]. Forcomprehensive, long-term learning, Kolb created a four-step model learning cycle. The steps areknown as active experimentation, reflecting observation, abstract conceptualization, and concreteexperience (doing) (using the ECP approach) as shown in Figure 2. It is anticipated that studentswill retain more information after taking courses that follow all these procedures [12, 13].Students directed through the learning cycle are also exposed to more excellent educationalopportunities and chances for individual thought and self-discovery.Fig.2 Kolb’s Learning Theory3 Methodology3.1 The Use of Experimentation and
biweekly) basis, attending sponsor-student team meetings, reaching out tosponsors for feedback). Working in collaboration, the co-instructors refreshed the coursestructure to address two reoccurring themes observed in previous cohorts: (1) students strugglingto adopt a “post-academic” mindset; and (2) students not perceiving design documentation asintegral to the design process.The course was restructured to reflect a semi-imaginary consulting engineering firm, “MountainTop Engineering”, where the instructors acted as the firm’s CEOs, the students acted as thefirm’s engineering associates, and the firm’s customers were external industry or non-profitsponsors. (Note: all design projects were funded by external industry or non-profit sponsors.)While
practice has not yet been evaluated to see if it is making any changes, it can bemeasured by comparing the reflection surveys taken after finishing this course in the previousyears and after infusing NACE competencies into the course syllabus in the Fall semester of2023. The future study can use the findings of the reflection survey to discuss the success of thispractice. This study introduces a process and challenges through which professors andinstructors can evaluate and modify their course outcomes to help prepare students for theircareers.ReferencesBiggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347–364. https://doi.org/10.1007/BF00138871/METRICSFick, J., & Jones, J. W. (2018). LEED® LabTM
side. Madeline K. Biomedical Engineering StudentAnother UVA biomedical engineering student shared during a class discussion that she mustdisconnect herself from her feelings when injecting toxic nerve agents, used for militaryresearch, into rats.The split in identity expressed by these students reflects a larger cultural schism that begancenturies ago:As Franco notes: “René Descartes’s (1596–1650) description of animals as “machine-like” was heavily criticized by many of his contemporaries, but nevertheless provided scientists a way to justify what would now be considered extremely gruesome experiments in a time when anesthesia, for humans and animals alike, was not available.” [4] (p. 241)Descartes’s
EngineeringFundamentals, and might be reflective of the more restricted focus of such degree programs. Assuch, there are several disparities between industry expectations and educational programs.Considering the industry expectations as a baseline, this enables the identification of broad wayscurrent programs might adjust their curriculum to better prepare future technicians or engineersto enter the workforce, or to help current workers upskill for new positions in emergingautomation, robotics, and mechatronics fields as efficiently as possible. This study has several limitations that should be recognized. For instance, the sample ofindustry professionals is limited in many ways and does not encompass the entire range ofprofessions within the field of
other measurements [20].The existence of group-level effects on individual behaviors is a long-accepted phenomenon inpsychology [4]. Prewett et al. [1] define team personality composition as “a team-level index ofthe personality traits within the team, reflecting the strength (or elevation) of a given trait withinthe team and/or the heterogeneity of a trait within a team”. The study states the primary reason forcreating team-level indices of personality as relating personality characteristics to team-levelcriteria without inappropriately crossing levels of analysis.Personality traits are believed to be critical attributes in team composition research. Teampersonality composition refers to the configuration and aggregation of personality traits
future to be adaptable, “T-shaped” professionals who are able to apply their knowledgeacross a broad range of subjects [1-5]. This “T-shape” refers to a deep content knowledge orexpertise (the vertical of the “T”) and the ability to apply this theory across a broad range ofcontexts (the horizontal of the “T”).Within the learning science literature, the concept of Adaptive Expertise (AE) has been definedas “the ability to apply, adapt, and otherwise stretch knowledge” such that an individual caneffectively apply their expertise in new contexts [6]. Adaptive Expertise differs from routineexpertise, which defines someone who is able to operate productively within a given field [7], inthat AE reflects the ability to apply one’s expertise more