personal life. Additionally, the experiential nature of PBL allows students toencounter challenges, problems, or conflicts like those they may face in the corporate world, allwithin the secure environment of the classroom. This experiential learning model enables themto solidify knowledge through real-world problem-solving. This sentiment is reflected in thestatement from interviewee 1: “The student connects the content given with a real problem that can be encountered in everyday life, which helps in the construction and retention of knowledge.” [interviewee 1] Also, in the statement of interviewee 5, there is: “The student himself will identify
Paper ID #42380The Effect of Ego Network Structure on Self-efficacy in Engineering StudentsDavid Myers, Rowan UniversityMatthew Currey, Rowan UniversityLuciano Miles Miletta, Rowan UniversityDarby Rose Riley, Rowan University Darby Riley is a doctoral student of engineering education at Rowan University. She has a special interest in issues of diversity and inclusion, especially as they relate to disability and accessibility of education. Her current research is focused on the adoption of pedagogy innovations by instructors, specifically the use of reflections and application of the entrepreneurial mindset. Her previous
reinforced skills including experimental design, developing experimental protocols,analyzing data, optimizing a process, and making decisions based on data on a 5-point scale fromstrongly agree (4) to strongly disagree (0).Qualitative Data AnalysisTo better understand the impact of the experiential learning activities, several free responsequestions were included in the surveys. In the survey after each simulated industry experience,students were asked to briefly reflect on the activity by sharing things like what they learnedfrom the activity, how this activity challenged them to think like an engineer in industry, or whatcould be improved about the activity. In addition, students were asked to identify the mainchallenges in the biopharmaceutical
. It represents a behavioral aspect of well-being and has beenrecognized as a significant predictor of various learning behaviors and achievement outcomes[11, 12]. According to Renshaw and Bolognino (2016) [6], academic efficacy encompasseselements of both cognitive and behavioral well-being. However, their analysis suggests that itpredominantly reflects behavioral well-being rather than cognitive well-being. This implies thatacademic efficacy is more closely associated with the persistent pursuit of goals anddetermination rather than solely cognitive abilities or beliefs about one's capabilities.3. METHODOLOGY3.1 Methods Both quantitative and qualitative data were collected concurrently for the concurrentmixed-methods study as
, M.S. Takriff, S.R.S. Abdullah, “Comparative study between open ended laboratory and traditional laboratory”, IEEE Global Engineering Education Conference (EDUCON), 2011.[18] K. Issen, “Open-Ended Design Problems”, Reflection in Engineering Education Workshop at University of Washington, 2017.[19] K.S. Cheruvelil, A.D. Palma-Dow, and K.A. Smith, “Strategies to promote effective student research teams in undergraduate biology labs”, The American Biology Teacher, vol. 82, no 1, pp. 18-27. https://doi.org/10.1525/abt.2020.82.1.18, 2020.[20] A.R. Emke, A.C. Butler, and D.P. Larsen, “Effects of team-based learning on short-term and long-term retention of factual knowledge”, Medical Teacher, vol. 38, pp. 306-311, 2016.[21] R. Ubell
influenceparticipants' responses. Third, the study included a mix of closed-ended and open-endedquestions, allowing participants to express their thoughts and experiences in their own words.However, despite these efforts, the possibility of response bias cannot be entirely eliminated,and the results should be interpreted with this limitation in mind.Finally, the rapidly evolving nature of AI technology presents another challenge. The study'sfindings are reflective of the current state of AI and may not remain relevant as newadvancements and shifts in the industry emerge.6.2 Future WorkTo build upon the findings of this study and address its limitations, future research couldexpand the scope to include a more diverse range of participants from various
experiences.Dr. Jennifer L. Cole, Northwestern University Jennifer L. Cole is the Assistant Chair in Chemical and Biological Engineering in the Robert R. McCormick School of Engineering and the Director of the Northwestern Center for Engineering Education Research at Northwestern University.Dr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor and Undergraduate Program Chair of Chemical Engineering at Rowan University. He earned his BS from Worcester Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has published two books, ”Fundamentals of Chemical Engineering Thermodynamics” with Donald Visco and ”Interpreting Diffuse Reflectance and Transmittance” with his father Donald
all of the course’s challengeproblems). The grades are indicative of the correctness of the calculated and inferred solution as well as thedescription of the process to reach the solution. Though the student grade is more of a representation of thecognitive domain, it is a good measure of the student engagement level and, when compared to grades inother assignments, reflects the impact of the gamified problem on their learning.In order to separate the assessment of the data (including coding of the reports) from the evaluation ofgrades, the authors split these responsibilities. MG, who was the instructor in the course, assessed all reportswith the rubric. RVG, who did not meet the students and therefore held no biases towards any of them
student-to-instructor interaction has a significantimpact on students’ learning and engagement [31]. Similarly, studies also show that student-to-instructor interactions help the student create a sense of belongingness in the online courses [32].Limitations, Implications, and Future WorkSimilar to other research studies, this study also comes with limitations. The sample recruited forthis study includes participants from one university at undergraduate level and is not representativeof the broader online engineering programs/community. Additionally, the undergraduate studentsrecruited were from only three engineering majors: information technology, software engineering,and graphic information technology, which does not reflect the experiences of
performers. These entities are abstractmission participants who can perform activities in the scenario. Fig. 4 focuses on motivation forthe articulated mission (shown in the diagram) from research lab directors. Given this mission orenterprise vision, drivers are used to define factors or rationale that drive the articulated mission.Each driver can then be mapped to one or more challenges which reflect issues that need to beresolved to address the driver. This dependency is expressed using the PresentedBy relationship.The challenges identified are used to motivate a set of opportunities expressed by theMotivatedBy dependency. These opportunities can be further traced to the capabilities of the SoIto achieve the proposed mission
other available courses listed under course sets that interest students provides theopportunity to further customize the degree plan.It is worth noting that changing a major can be a normal part of the college experience, as itmay reflect a student’s growth, self-discovery, and a deeper understanding of their academic andprofessional desires. To demonstrate the efficacy of our algorithm that works in this scenario,another example is considered for creating a transfer plan from the Associate of Arts program atPima Community College to the Biochemistry program at the University of Arizona. The structureof the degree requirement tree is provided in Figure 5, and the descriptions of the requirements arelisted in Table 4. The two-year to four-year
cold-water flow rate on hot-water outlet temperature.These results lead to a significant improvement (p-value = 0.034) for Q6R with a moderate effectsize (ES = 0.54). With improvement in all questions, overall, the DLM implementation wasbeneficial for the students as there is > 10% improvement with a medium effect size.4. Motivational OutcomeIn addition to pre- and post-test, we also conducted motivational survey. Participant consists of 75students from 3 different universities in the United States. The participant responses are shown inFig. 6 from a survey assessing the Shell & Tube Heat Exchanger DLM features listed in table 2.The plot reflects a predominantly positive evaluation of the modules' features. Notably, featuresfacilitating
Fig. 11. Additionally,the 6V to 4V transition was not smooth, unlike the test case with 20kHz PWM and 1kHz sampling frequency. Similar resultsare reflected in the Simulink simulation from Fig. 12. This phenomenon was anticipated from the duty cycle resolution issuethat 80kHz PWM frequency creates. OCR1A = 0 ∼ 99 1 ResolutionDutyCycle = = 1% (10) (99 − 0) + 1 Thus, the duty cycle cannot be expressed in a decimal form with 1% duty cycle
tasks, etc.). This349 is reflected in high ra ngs both pre- and post- Team Challenge for Criterion “C”. The most significant350 change between pre- and post- self-assessment was observed for Criterion “D” (pre- and post-challenge351 averages of 3.1 and 4, respec vely). Anecdotal observa ons and student feedback suggest that this352 learning approach is novel to the majority of students, and they feel most capable of addressing these353 challenges once they have been exposed to them and ac vely engaged in the process.354 Finally, before introducing the Team Challenges to students, significant me is devoted to introducing355 engineering problem-solving, which involves applying STEM concepts to prac cal applica ons. However,356
the first mechatronics course in Mechanical Engineering Technology(MET). The lab modules provided students with practical experience in using IoT technologiessuch as MQTT, ThingSpeak, and Simulink to design and control mechatronic systems. Themodules covered a range of topics, including motor control, feedback control, and systemmodeling and simulation. The course provided students with a strong foundation in thetheoretical concepts of mechatronics, which were then reinforced through the hands-on labmodules. The success of the course is reflected in the positive feedback from students, whoappreciated the practical skills gained through the lab modules. Moving forward, the course willevolve to meet the changing needs of students and industry
engaged experiences that involve guided practice,opportunities for collaboration, and reflection on applying course content through real-world application [13,14, 15]. Active learning allows for engaging with higher-orderthinking tasks, such as analyzing, synthesizing, and evaluating applied course content[15]. This practice of high-order thinking tasks occurs in formal and non-formal STEMeducation environments and can incorporate self-regulated learning, self-monitoring,and self-evaluation [13,14, 15, 16, 17]. Professional organizations value active learning experiences in engineeringdegree programs, as evidenced by ABET accreditation criteria and industryrepresentatives Prados, Peterson, and Luttuca, 2005 statements of there being a
. It is noted that students will also have background and foundational literature they will discuss in the intro that will not show up in the Matrix. c. Students will use the research question skills learned in class to identify metadata they will collect from the studied papers and compare across the matrix. d. Finally, students will write a reflection on the process that includes their search strategies, experiences, and next steps. e. Timeliness is important. After a week, you will have both half-credit for the assignment and less time to develop your paper, so please chat with me early if you’re falling behind on this.7. Lit Review: Paper a. Students must follow
who changemajors, and students who are veterans (e.g., [7], [27]). Other work has indicated the importanceof factors such as motivation and belongingness [5], [28]. While those factors are not connectedto a students’ academic record, they are an important reminder of what academic records can andcannot reflect about students. MIDFIELD leaders point to the value of qualitative research tofurther explore the quantitative findings [9]. Similarly, this paper represents the early quantitativestrand of a larger mixed-method project seeking to identify opportunities to support ECEstudents.The past few years have seen the engineering education research community grapple with thepotential contributions of educational data mining students’ academic
Mean St. Dev Mean St. Dev Non-Traditionally Underrepresented Students 3.510 0.426 29.30 3.797 Traditionally Underrepresented Students 3.236** 0.717 28.20 5.448 PMP-Eligible Students 3.161** 0.813 28.02 5.255 PMP Participants 3.343 0.546 28.46 5.782Significance reflects results of an independent samples t-test between non-TU students and TU studentsubpopulations. * p ≤ 0.05, ** p < .01, *** p < .005.Since RQ2 seeks to understand the relationship between participation in the PMP and studentacademic
specificconcentration area, and are expected to draw upon the concept foundations of the corecurriculum.ESIM PedagogyThere has been as much consideration of pedagogy as curriculum in the design of thisprogram. It is anticipated that the program participants will consist primarily ofpractitioners who will have little patience for overly theoretical material that does nothave readily apparent real-world application. The curriculum was designed to reflect thatassumed bias and the teaching methods must follow suit.Duening & Goss 9 March 2008American Society for Engineering Education Pacific Southwest DivisionAs such the ESIM program will specialize in a pedagogy that
, students in the Winter 2012 thought the instructor failed to give them timely feedback(Q4, Question 4), which was caused by serious issues with using Moodle. The universitylearning center was still troubleshooting issues with Moodle at that time, including problemswith students and instructors uploading and returning assignments. The Moodle optional surveywas given to determine how much Moodle affected students’ opinion of the ME 419 course.Some students in Winter 2012 also commented that the instructor needed to more clearly presentthe material by giving more lectures and teaching programming mechanics, which were not theobjectives of the course as outlined in the syllabus. Such comments reflect that some students donot enjoy active learning
minority students and the success of Math Jamin enhancing their academic performance are reflected in the increase in enrollment in transfer-level courses since the program was initiated. Although enrollments in STEM transfer-levelcourses have increased for all student groups and for all STEM areas, the rates of increase aresignificantly higher among minority students, especially for engineering, mathematics, andphysics where minority student enrollment has traditionally been lower due to inadequate highschool preparation in math.The success of Math Jam has prompted Cañada College to institutionalize the program. Beyondthe duration of the three-year Minority Science and Engineering Improvement Program grantthat funds the Math Jam, the College will
82 2016 ASEE Rocky Mountain Section ConferenceIn a traditional classroom, the content would be delivered as lecture material. The instructormust reflect on what and how the face-to-face instruction was conducted and determined if it canbe implemented for online delivery by leveraging available e-learning technologies. The videosshould also include demonstrations or simulations by visualizing and applying the abstract mathand engineering ideas to real-world problems. Video recordings on the use of engineering toolssuch as Matlab/Simulink, Labview/Multisim, PhET and Algodoo software, can serve asexamples to demonstrate key concepts found in a particular course and developed for this firstcourse. The video instruction
allowed for self-reflection and assessment. Overall,student feedback about the assignment was positive. In general, students reported that theythought the subject was well designed for the course, but additional information at the beginningof the term about the assignment’s overall goal and end-product would have been helpful.4.7. Global Security and Intelligence CourseIn this junior-level social science course with 29 students, the research process was fullyscaffolded. The course design paralleled that of the three phases of the research process: findingliterature, writing a review of the literature that compares alternative explanations, and thentaking a position and defending it using logic and evidence based on the literature. In order
the explainedcontent, giving the option to repeat the video and the quiz if the student so wishes. In terms of thepractical part, after the students watch the video and take the quiz, they are ready to put intopractice the knowledge acquired using the workstation, the applications and the correspondingpractice board for the course. To support the students in this practical part, step-by-step tutorials(figure 9) have been developed for each practice, which are fully illustrative and realistic, givingthe students the appropriate accompaniment so that the level of confusion is minimum whencreating a circuit. Similarly, to the explanatory videos for the practices, reflective questions(figure 10) have been developed that guide the students in the
. Near Infrared Spectrosc. 15(5): 307-315.Reeves, J. B., III, G. W. McCarty, et al. (2008). "Mid-infrared diffuse reflectance spectroscopic examination of charred pine wood, bark, cellulose, and lignin: implications for the quantitative determination of charcoal in soils." Appl. Spectrosc. 62(2): 182-189.Schiermeier, Q. (2006). "Putting the carbon back: The hundred billion ton challenge." Nature (London, U. K.) 442(7103): 620-623.Sombroek, W. G. (1966). "Amazon soils. A reconnaissance of the soils of the Brazilian Amazon region." Versl. Landbouwkd. Onderz. No. 672: 292 pp.Sterman, J. D. (2008). "Risk Communication on Climate: Mental Models and Mass Balance." Science (Washington, DC, U. S
women on the faculty and in Ph.D. graduates.Importantly, however, we do not find conclusive evidence that increasing the proportion ofwomen on the faculty at an institution has a direct relationship to the percentage of Ph.D.sgranted to women at that institution. Indeed, UC Irvine, Michigan and NMSU reflect cross-directional trends with respect to faculty and students. Specifically, Michigan performed Proceedings of the 2010 Midwest Section Conference of the American Society for Engineering Education 12 extremely well in women faculty, landing in the top spot of their peer group
/Psychology – Human beings are richly endowed intellectually but morally flawed. 5. Neuroscience – Humans possess consciousness and a capacity for intentionality and rational reflection. 6. Mathematics – Mathematical theories correspond with physical reality. 7. Logic – As abstract entities, the laws of logic are universal, invariant, and independent of human conventions. 8. Ethics – Moral absolutes seem intuitively authentic, and moral relativism is self-defeating. 9. Religion – Belief in the divine is a universal phenomenon and religious experience seems intuitively real and consistent with biblical revelation. 10
variety of ways including benefits forstudents and faculty in the program, the client companies, and the Institute as a whole. Similarbroad-based impacts have been noted with other programs.Since the start of the program, over 1570 internships have been offered to some 575 students.An internship is defined as a student working one academic quarter in the program, so onaverage, a student works 2.7 quarters in the program. Figure 2 shows the historical pattern of thenumber of internships offered by the program per quarter. The increase in student participationstarting in early 2005 reflects the expansion of the program to include client companies of allsizes through fee-based arrangements.Another measure of impact is the percentage of a graduating