questions were based upon Tinto’s (1987, 2010)work and divided into two areas: drivers and barriers to university: preferences andexpectations of study [15, 16]. The questions were built around “Agreement Likert Scales” andpresented in a matrix fashion.The findings of the study are presented in tabular format utilising descriptive statistics basedupon percentages. The reason for this is reflective of the research philosophy that underpinsthe project; it is important that the findings and outputs are fully accessible to a range ofcolleagues including non-academic support staff. 2.2 SamplingTwo different cohorts were sampled, the first comprising 150 students on a ‘GeneralEngineering Foundation Programme’ at pre-undergraduate level, the
collecting student background and demographic characteristics. First, themountainboard project survey was created by the instructor and consisted of 10 questions. Onquestions one and two students self-reported on their overall satisfaction with the industrysupplied CAD guide and the team project by selecting a response on a five-point Likert scale(where 5 = extremely dissatisfied, 4 = somewhat dissatisfied, 3 = neither satisfied nordissatisfied, 2 = somewhat satisfied, and 1 = extremely satisfied) that best reflected theirperception (see Table 2). For questions three-eight and based on completing the mountainboardstudent guide, students self-reported on their skill development in the areas of CAD modeling,assembly, analysis, drawing, toolbox, and
students’understanding of the diverse uses of iteration within design. Recommendations for futureresearch directions are presented in the paper along with implications for design educators whowish to further develop their students’ understanding of iteration.MotivationExplorations of the experiences of novice and experienced designers have demonstrated criticaldifferences in their approaches to solving design problems1–3. Some examples of the differencesoccur during problem framing, research phases, idea generation, trade-offs analysis, decision-making, and reflection on design experiences3. For example, as part of problem framing,experienced designers hold off on making decisions until they have had time to diverge andunderstand the challenge in a more
6- Failure Rate of 1st Year Students in GEE 103Failure reflects students that do not pass in assignments and who have frequent absencesfrom class. The lack of commitment in such a survey class shows general lack of effortsince the performance criteria is relatively low.discussion and future studyThe development of a Pre-Engineering program at the University of Maine began in 2014 togive academically under-prepared students interested in engineering an opportunity to enterengineering study through another entry point. Many of these students don’t have theacademic skill set to satisfy the entry requirements to enter the College of Engineering butmeet the general requirements for admission to the University of Maine. These students areaccepted
widely disseminated to educational institutions with limitedresources.Many analytical techniques can be implemented with imaging and optical detection devices suchas smartphones, low-cost digital cameras and USB ‘microscopes’, desktop scanners, andmodified CD players. For example, the CCD camera of a smartphone can be used as an opticaldetector in absorption, reflection, scattering, and fluorescence measurements, albeit for somemethods requiring also an optical source (e.g., and LED) and optical filters. Color cameras candiscriminate wavelengths, thus allowing spectroscopic measurements. These pervasivetechnologies are highly familiar and accessible to students, and offer additional features such asconnectivity, data processing and archiving
foreign students is diverse,thus, insight around these needs is a starting point for developing communication programs thatsuccessfully provide value.Literature ReviewFew studies specifically examine the communication needs of graduate engineering students oridentify resources and training efforts that address these needs. Nonetheless, academics andpractitioners alike seem to agree that engineering graduate students are faced withcommunication challenges reflective of the complexity of the material that they mustdisseminate, and thus would benefit from supportive efforts to hone their skills.Many guides and textbooks are available to help teach the international student population inU.S. universities in general, but less is specifically geared to
student engagementsurvey also asked students to reflect on what they learned in the course, and asked them to reflecton how the course could be improved.Skills assessmentStudent performance was evaluated through a pre and post exam in mathematics, several quizzesand a final exam in the course, and through assignments and presentations. In addition, studentsself-evaluated themselves at the beginning and end of the course on a list of skills that werecovered. Students rated their confidence in each skill on a 4-point scale at the beginning and endof the course. The average score for skills in each category is shown in Figure 1 for both the2017 and 2018 cohort of students. At the beginning of the course, students felt the mostconfident in chemistry
. Hence, the key components of this review focus onlearning and pedagogy based on Computational Thinking. We develop a synthesis of suggestionsand explanations to answer the proposed questions based on literature from recent research incomputational thinking. As for the instructional implication, based on our initial analysis wepropose that a constructionism-based problem-solving active learning environment, withinformation processing, scaffolding and reflection activities, could be designed to enhancelearning through computational thinking.IntroductionIn recent years, Computational Thinking research has bloomed. Computational thinking is a 21stcentury way of problem-solving and is also a competency that has enduring outcomes given weare in the
support were also used to help students engage more deeply with course materials.Content was managed by a separate instructor who coordinated with the face-to-face instructor to ensurealignment of activities and learning outcomes. Weekly, students were required to post and respond toquestions on the online discussion board, which required them to demonstrate conceptual mastery oftopics (rather than procedural problem solving). In addition, students completed weekly journalsubmissions, which required critical reflection of course preparation, performance, and application to civilengineering. Twice per week the instructor was available for tutoring sessions via an online platform.Sample discussion board questions and journal prompts are provided in
to reflect on three areas of learning. Theirresponses are presented as case studies.IntroductionEngineering schools with predominantly undergraduate enrollments traditionally emphasizeresearch opportunities for upper level undergraduates working in conjunction with facultymembers. At such institutions, the level of faculty research is often congruent with what a highlymotivated rising senior can contribute to in a meaningful way. Consequently, accommodation isoften made through offering independent study courses taken during the academic year for credit,or focused summer research stints of variable length, or even a combination of the two, to enablethese experiences for students, especially those who may be thinking of going to graduate
possible actions, then chooses to act in a particular way.Their choice determines what they pay attention to following the action. To make sense of theresults of their action, at least the ones they paid attention to, they develop mental representationsor perspectives of the result of the action. There are many possible perspectives that can bedeveloped based on the actor’s attention and interests. Regardless of how they interpret theresults of their own actions, they leave the field of action with new knowledge which informsfuture intentions, thus starting the cycle again. Thus in Macmurray’s system one’s interactionwith, or coupling to, the world is defined iteratively through action that is reflectively informedby knowledge gained through one’s
learner actively engages in the process of sense-making and knowledgeconstruction [4]. Carefully selected content knowledge [5] and reciprocal interactions with others(i.e., instructor, peers)[6, 7] will mediate and facilitate learning. This perspective challenges thetraditional view of teaching and learning that portrays a learner as a passive individual simplyreceiving the knowledge provided by an authority figure. Experiential learning, a concept andpedagogical practice inspired by Constructivist learning theory also upholds the learner’s activerole and focuses on “learning through reflection on doing” [8]. Experiential learning isrepresented as a cycle of four stages, a) Concrete experience, b) Reflective observation of the newexperience, c
on socio-technical student perceptions on socio-technical design activities and projects.project-based learning activities Open-coding and comparison of Post- activity reflection on implementingdescribed in Table 2 and sustainability in design projects.ongoing assessment of student Analysis of pre and post-survey : open- ended questions to students before and
course was analyzedto reduce or eliminate extraneous elements that had crept in over the years to the two individualcourses, but had not been pruned appropriately during the merge of the two courses into one.This paper discusses modifications made to both lecture and laboratory section, but the focus ison the improvements made to the laboratory section. The methodology steps (shown in figure 1)for the course improvement are: a) Conduct course post mortem though the review of the course evaluations and instructor self-reflection. Identify specific areas of focus that are actionable, realistic, and include potentially impactful changes. b) Review the current lecture topics and laboratory projects and identify those that are
]. MBTI is the most widely used personality assessment tooland has been validated by many researchers [22] [23]. Even so, some psychologists havecriticized the instrument for the lack of convincing validity [24] [25]. The framework proposes using these instruments along with a reflective instrument basedon self-assessment and peer validation. As a part of the reflective instrument, faculty memberswrite around 15 activities they are good at, and around 15 activities they really enjoy. Then, theyselect colleagues who know them the best and seek their suggestions. The frameworkrecommends selecting at least a few colleagues, whose views are incompatible with their views.The faculty members then update the lists based on colleagues’ feedbacks
plans, learning activities, assessments, and teaching. The program has been delivered each semester since Fall 2015. This paper will present an assessment of the impact of the program on course development and delivery. Mentor and instructor assessments and reflections from 2.5 years of the program are analyzed to identify effective program elements and areas for improvement. Ideas were compiled and used to design a transition of the program to a semi‐autonomous course‐development and delivery‐mentoring platform that will be available online. Introduction The United Nations (UN) introduced the Sustainable Development Goals (SDGs) in 2015 as the framework for the 2030 Agenda for Sustainable Development. The 17 SDGs build on the Millennium
the United States Department of Education. Dr. Jamil’s research focuses on the measurement of teacher effectiveness and psychosocial functioning, as well as the design and implementation of professional development interventions that support teacher-student interactions, as well as teacher reflection, wellbeing, and effective practice across content areas. Dr. Jamil has significant expertise in teacher assessment and the use of assessment data from teachers and students as the basis of teacher coaching, program evaluation, and instructional planning.Dr. Karen A High, Clemson University Dr. Karen High holds an academic appointment in the Engineering Science and Education department and joint appointments in the
which the university will: become an anchorinstitution, demonstrate engaged scholarship, practice changemaking, advance access andinclusion, demonstrate care for our common home, and integrate our liberal arts education.In addition, the University Core curriculum recently underwent an overhaul with a new CoreCurriculum in place in Fall 2017. One significant outcome of the new Core reflects theUniversity’s commitment to Diversity, Inclusion and Social Justice (DISJ). Whereas studentspreviously were required to take a single Diversity course, the new Core requires students to taketwo Diversity, Inclusion, and Social Justice (DISJ) courses recognizing a developmental modelof achieving these outcomes. In addition, the DISJ designation is now based
Data Analytics: Final Project: Final MATLAB5: to define a Study the data Research & Project & How to use function to allow types in Development: Reflections MATLAB as a input to it when it MATLAB; how Final Project: on the sophisticated initiates its to produce Presentation & Camp: calculator, create execution and heterogeneous Report Writing: Individual plots. output from it collections of Teams will presentations when it is done. data via structs prepare a Power and reports. Matrices and and cells. Point Operators
capstone courses. • To provide a mechanism that requires students to work on keeping their portfolios up-to- date.The second innovation of the new curriculum is the portfolio requirement, in which the studentdemonstrates that he or she has attained the student learning outcomes (SLOs) of the program.For their portfolios, students are required to: ● Showcase their strongest work from a variety of classes, both in and outside of their major. ● Discuss the thought and effort that went into creating the work shown. ● Include written reflections that discuss the challenges faced, strengths and weaknesses, and what was learned from creating the work.Pedagogical advantages of portfolios have been discussed in the literature. The
anomalous sentences, novel metaphors, and conventional metaphors compared withliteral sentences. These findings were one of the first to contribute to a growing body of evidencesuggesting that the retrieval of stored conceptual knowledge about conventional and novelmetaphorical expressions involves greater cognitive effort (as reflected by more negative-goingN400 amplitudes) compared with literal sentences, yet not as much as compared with anomaloussentences (for similar findings, see [18, 22-24]).In most psycholinguistic experiments that explore phrase or sentence comprehension,participants are asked to make judgments about whether or not a word–pair or a sentence makessense. Coming back to our previous example, when presented with a sentence “the
political systems, which is combined with logistical issues and a lackof political learning across disciplines. Voting is not the only measure of student civicengagement, but it is fundamental and, now, can be objectively measured as a basis for lookingat civic engagement in higher education.This is reflected in the document A Crucible Moment (2012), issued by a National Task Force onCivic Learning and Democratic Engagement and containing a call to action warning that the stateof U.S. democracy was declining, and colleges and universities were failing to embraceeducating for democracy as an educational priority. Others have warned that higher education’scivic purpose has yet to be realized (Saltmarsh and Hartley, 2011). Part of the problem
theoretical ideas, (2) reflect important real-life problems, (3)give visual and acoustic sensation, (4) have a suitable timescale, (5) be nonhazardous, (6) beinexpensive, and (7) be easy to understand and use. With today’s technological advances,designing a laboratory course that addresses all of these constraints is more feasible than ever.However, many existing laboratory courses and off the shelf modules violate one or more ofthese constraints, and therefore fail to deliver an optimal lab experience.There are two opposing routes to take when designing an undergraduate controls laboratory: usecommercial off the shelf (COTS) hardware and accompanying software, or design the hardwareand use or design open source software. There are many advantages to
different views of SRL, in general SRLtheorists “view students as metacognitively, motivationally, and behaviorally active participantsin their own learning process” [5]. Thus, we can summarize most major SRL theories with thegeneralized framework of SRL, shown in Figure 1. Performance Phase Self-Control Self-Observation Forethought Phase Self-Reflection Phase Task Analysis Self-Judgment Self-Motivation Beliefs Self-Reaction Figure 1 Phases and Sub
their part of speech.We will be focusing on the Uber Index (Figure 3) developed by 5 that highlights certain featuresof communication of an individual as a reflection of lexical diversity. Lexical diversity can beseen as measure for how varied the structure of speech is and this category of assessment hassignificant research history within the field of linguistics. This indicator reflects lexical diversityby relating the total number of lexical words used (T) in a text sample with the number of uniquelexical words used (N). Figure 3: Uber Index 5.This index was chosen for analysis because the Uber Index is seen as as a better representation oflexical diversity for texts of varying length than other similarly
response to self-reported vulnerabilities and concerns of engineeringstudents. This paper presents data from practical efforts to identify and mitigate anxiety amongengineering students. A group of twenty-seven engineering and engineering technology studentswho were part of a scholarship program was asked to submit journal entries in which theyreflected on their fears and anxieties related to their participation in their degree program.Prominent themes which emerged from student reflection included time management and itseffects on academics and social activities, the likelihood of degree completion and success inengineering-specific coursework (e.g. senior capstone projects), and aspects of life followinggraduation such as handling accumulated
reported byrespondents was 7.63 discussions per term.Instructors were asked to indicate if the following occurred in their course: Students are asked to read/view material related to an upcoming class section (80.3% said yes, rubric value = 0). Students are asked to read/view material related to an upcoming class section AND to complete assignments or quizzes on the material shortly before class or at beginning of class. (47.5% said yes, rubric value =2). Students asked to complete reflective activity at end of class (briefly answering questions, reflecting on lecture and/or their learning, etc.). (36.1% said yes, rubric value = 1). Students give presentations (verbal or poster). (63.9% said
more deeply affect the level of agraduate’s workplace engagement and therefore productivity and overall well-being. While it isapparent how important experiential learning can be to the future success and well-being ofstudents, it is more difficult to measure all of the activities that can be labeled as experientiallearning and to define what constitutes a meaningful experiential learning opportunity.This paper will examine the results of a survey, given at Purdue University, used to measure theundergraduate engineering population’s involvement in experiential learning. The survey wasdistributed to 7712 undergraduate students. The results reflect that students are participating in awide variety of activities that could be considered
project's energy efficiency strategy, requiring daylighting in allperimeter occupied zones, glare mitigation strategies, automatic, continuous dimming, andcommissioning. Advanced controls strategies are also considered. This collaborativeenvironment was realized through coupled daylight and energy simulation, using simulatingrepresentative spaces in the Sensor Placement Optimization Tool (SPOT), a Radiance basedsoftware. Several design variations were considered and an optimum set was settled upon.A light louver system was added to the daylight glazing to bounce the light up the ceiling andeven deeper into the building's interior. Further, light reflectances were chosen for the interiorsurfaces. When coupled with low partition heights, this
discuss both whatthey thought would happen and what actually happened. Instructors can additionally lead aclassroom discussion to process any of their misconceptions about the expected materialbehavior and their observations of what actually happened in the simulation. By clearlyarticulating and capturing on paper what their initial concepts or misconceptions are, and thendiscussing the actual results in comparison with their initial ideas, students’ are more likely torecognize any previous misconceptions as incorrect understandings.Students need to be engaged in and monitor their own learning process, referred to as meta-cognition. Pre-lab and lab reports provide an opportunity to encourage student reflection on theirown learning. A section