styles.Diversity and Teamwork:Embracing differences in personality (Myer-Briggs) and learning styles (Global vs. Sequential;Intuitive vs. Sensing, Active vs. Reflective; Verbal vs. Visual). Decision trees and methods formentoring. Group communication and conflict management tools. Development of a plan ofaction (formulation, negotiation, fulfillment, and review). Project lifecycles and rhythm ofaction for teamwork.K-12 outreach: Levels of learning (Bloom’s taxonomy). Teaching methodologies in the K-12domain and the public sector (societal service). The heart of the leadership module is centered upon the 8-step design process (Figure 1).The concept is presented in lecture as a standard format for the engineering design process. Oneweek of lecture is
students atvarying levels of math competency. At the University of Wisconsin-Platteville, many studentsbegin in the pre-engineering program if they enter college with a perceived low level of mathcompetency reflected by poor performance in the math placement test. Consequently, they endup spending several semesters taking remedial math courses before beginning the calculussequence and getting accepted in the engineering program. In an effort to understand and servestudents better, the effect of math competency on their success in engineering science coursesand possible retention in the program is being studied through a survey. The results of thissurvey are expected to provide us with a better insight into the math preparedness of our highschool
course learningoutcomes) rather than direct measures (e.g., work produced by students evaluated against criteriathat reflect the learning outcomes). While beyond the scope of the present study, examiningdirect evidence of students’ learning and development in this course context would be a usefulnext step. Our future work also seeks to understand how students identify their own and others’strengths and their conceptions of the design process. Individual student interviews along withanalysis of student free responses around design and project management will be used to furtherinvestigate these questions. In the present study, researchers hoped for a higher survey responserate to allow for group comparisons across various identities (i.e., race
(mechanical, civil, aero/astro, for example) so eventhough many of the students are chronologically second year students they experience “firstyear” dynamics.A “large class” is usually defined by the institution offering the class. For example, in a stateuniversity a “large class” could be 300 to 500 students, while in a smaller, private institution itcould be 30 to 50 students. Certainly, classroom dynamics will be different between the 500students and 50 student classroom if only reflected in the size of the classroom space. Theimportant point is that Introduction to Solid Mechanics or Statics will be one of the largerclassroom experiences for entry-level engineering students at the location where they areenrolled. In this research, classroom sizes
reflections thatthe desired outcome of being able to integrate the course threads and skills as shown in thetheoretical framework were also achieved.Cornerstone students also reported similar positive outcomes for learning in the new coursecompared to students in the traditional courses, and even reported how they couldn’t imagine thecourses not integrated. In teaching evaluations, the reported scores for each instructor wereslightly lower, but not significantly different than the teaching evaluation scores received on theseparate courses. Since this was the first time with the new curriculum, this result is notsurprising. Comments were reviewed carefully in order to improve both courses for the nextyear. One prevalent comment was the desire for more
completion.Engaging learners in the very notion of asking them to evaluate work of their peers for thepossibility of uncovering abnormalities or inconsistencies(2) creates a reflective atmosphere.During this evaluation process, there is a period of reflection that takes place, which supports anatural dialogue(2); hence, extending the power for learning. This process naturally allowslearners to rely upon their previous knowledge of the subject and compare data presented toeither confirm incorrectness or to create a new understanding of the topic in which to investigateand support. Therefore, Active Learning helps students to “scaffold the zone of proximaldevelopment for individual construction of knowledge and to facilitate effective learning,”(2)(p.889). It
attended the lectures, tutorials andlaboratory sessions of several engineering courses. He also enrolled in two university coursesin order to learn social-sciences research methods. The teacher’s focus was on the peerassessment, problem-solving and feedback used in lectures and tutorials to promote effectivelearning and encourage students to take responsibility for their own learning. Models(conceptual frameworks) were then constructed to reflect the actions of students and theinteractions students have with their lecturers and tutors. The result was a comprehensiveview of what is expected of first-year engineering students from a high school teacher’sperspective. This view, together with the data on which it was founded, is outlined in
beappropriately answered in 2+ sentences, with the average being about 2-3. An example of aLevel 3 prompt is “What was the best part of your weekend?” While this prompt could result insimilar answers, responses may reflect the respondent’s personal interests and activities theyenjoy.Finally, Level 4 prompts are the most personal and require the highest level of thought for therespondent. This level challenges respondents to think the most critically about their experiences,interests, and feelings. These prompts could be appropriately answered in 2+ sentences, with theaverage around 3-4. An example of a Level 4 prompt is “What are you grateful for?” Thisrequires the respondent to assess themselves through deeper thought not required by the otherlevels
course element and the transformation will be described in detail.When the course was first offered online during Spring 2020, the instructional team made theirbest efforts to adapt the course to remote teaching. Reflection on and analysis of instructor andstudent experiences informed a systematic transformation of the course during summer 2020,with the goal of maintaining all learning objectives from the original in-person course. When thecourse was then offered again through remote instruction during Fall 2020, the transformationwas implemented as follows:Lectures: Lectures are designed to create the foundation of the course and the PBL courseteaching approach, as they introduce a wide range of topics on the fundamental principles of
Pre-recorded video: Welcome by Dean1:15 PM Pre-recorded video: Welcome montage of staff, students, faculty and alumni1:25 PM Pre-recorded video: 3 current students share their stories of what helped them feel a sense of community and belonging1:35 PM Break into small groups to engage in self-reflection and facilitated discussions around the following themes: ● Their personal strengths and their mentors who have impacted their lives; ● Envisioning what an inclusive community would look like and how they can build on their assets to contribute meaningfully to create a
reflect high hopes and some ambitionand excitement. Those that feel most positively report holding regular meetings with theinstructors in their trio. Most instructors indicated that their students seemed incrediblycomfortable with their classmates, which indicates that the integrated classes are contributing tomore connectedness among those enrolled. Of 14 instructors (7 from English, 4 fromCommunication, and 3 from Technology) who responded to the final journal prompts, 10instructors indicated that teaching an integrated course like this one was pedagogically sound andrewarding in some fashion, either for themselves or for their students. These 10 instructors (5from English, 3 from Technology, and 2 from Communication) all expressed willingness
confidence or self-efficacy.This study focuses on students enrolled in first-year project-based engineering courses at a largepublic university in the Midwestern United States. A mixed-methods approach was used for datacollection and analysis. Pre- and post-course surveys were administered to collect informationabout student demographics and personalities and to measure the students’ engineeringconfidence and self-efficacy. Students were also asked to record the amount of time they spenteach week on different tasks (e.g., project management, using CAD software, communication,and working on written reports) in an Activity Log. Post-course interviews were conducted toallow students to reflect about their team experiences during the semester.Our
engineering profession and (b) to project the core value of the college thatengineering faculty really care about the early engineering students--to be the friendly “face” ofthe faculty and of the profession to their students.Our college data reflect national trends in that our most significant attrition is from the earlyengineering students. Our “leavers” fit into the same two categories as described in theliterature11: those who perform well academically, but choose to leave; and students who fall justshort of the academic admissions threshold. The target of the Connector Faculty portion of thiswork is to address both groups of students through better interactions with faculty mentors.While the goal is not an “at all costs” rescue of each and every
relationship, most have never thematized it for themselves, that is, theyhave not reflected on the phenomenon as an intellectual activity. A consequence of thislack of reflection on the activity they all already practice is that when they are confrontedwith unfamiliar situations, they are easily confused. An objective of the course is to trainstudents to perform better in situations in which they are unfamiliar with the content ofthe reasoning operations. EXAMPLEWe then introduce inductive and deductive argument forms, help students recognize,analyze, and evaluate arguments. We find that one of the most difficult things for most ofour students to grasp is the logical difference between deductive and inductive reasoningforms. Many students, even after
confirming student preference foractive, engaged learning experiences. All teams were able to complete a product in time (mostlythrough a large push right up until the deadline). Additionally, students documented andcommunicated their experiences through a written final report and presentation. Bothrequirements allow students to reflect on the project, making activity, and better understandwhere there was room for improvement. Unsurprisingly, the largest point of reflection is toavoid procrastination.In the surveys, students reported exploring more than one engineering discipline during theproject with exposure to Civil, Mechanical, and Electrical being the most common majorsreported. The students found communicating with their group members as one
´erieur D’Ing´enieurs en G´enie Electrique) at Rouen, France in 2009, and his B.S. in Systems of Telecommunication at Polytechnic University of Madrid at Madrid, Spain in 2006. Ar´ıstides’ research interests include the role of empathy and reflection in learning in engineering education and practice contexts, and professional development in global environments.Amanda Johnston, Purdue University-Main Campus, West Lafayette (College of Engineering) Amanda Johnston is a PhD candidate in engineering education at Purdue University.Prof. Tamara J Moore, Purdue University-Main Campus, West Lafayette (College of Engineering) Tamara J. Moore, Ph.D., is a Professor in the School of Engineering Education and Interim Executive
.” “EduGuide helped me to learn how to concentrate.” “More positive about things and better relationships.” “I learned how to keep encouraging myself and others like my friend especially my family.” “It has helped me personally with relationships with family and friends as well as improvement on my school work.” “It helped me stay on track.” “It helped me to reflect on what I have overcome. It has also motivated me to keep trying and help others along the way.” “(It) helps keep a positive mindset.” “I have been more conscious on what I want to do, on what I do and what I don't do. This has helped me improve in my personal and professional aspects.” “I feel like I have gotten a bit more motivated especially
minimum standard Raise Program Standing in matriculation standards/expectations process Establish std. processes Improve communications Support Course options E102/E102 and E201 Maintain connections E122 Intentional reflection E144/E145 Active advising Proactive intervention Early identification
, were conducted intwo sections of a freshman engineering course at a large southwestern university in the UnitedStates. Evaluation data were collected regarding student knowledge gains and attitudes. Both theoverall gain in technical knowledge and positive attitudes toward the field of biogeotechnicalengineering were reflected in participant responses. With the advent and development of thisnew field, this work represents a pioneering effort in the biogeotechnical engineering educationspace. Looking ahead, the study could contribute toward longitudinal research in understandingthe best practices of interdisciplinary approaches to developing engineering instruction.IntroductionThis study is situated in the context of an interdisciplinary
significant difference PRE-STEP toPOST-STEP, qualitative data from this question indicate clear decision making in the reason toleave engineering, and finally, patterns from our study reflect others work in this area. Question: Rank the top ONE (1) to THREE (3) of the following influences on your decision to change your major from engineering to something else. 24.00% Uncertain of future career options 20.00% Initially majored in engineering due to parental 17.00% pressure and later decided it wasn't for me
with LEGO Mindstorms software and Excel. Thesoftware allowed the teams to program the robots, collect the data, plot a graph and come upwith a hypothesis about the time the robot would require to traverse an arbitrary distancespecified by the faculty and/or an undergraduate student leader. The teams who did the mostaccurate predictions won prizes. After the competition ended time was allotted to reflect on theexercise and the lessons learned.In the last part of the orientation, students watched some highlights from videos related to robotapplications previously collected by the faculty and the undergraduate students planning theorientation. A magazine article15 related to humans and robots interaction was provided as areading. Freshman engaged
provided them in the online videos. In addition,there was time for live student presentation and group discussions with a Q & A on thepresentations. Groups would meet not only on their own out of class to complete a courseassignment, but additionally in-class to apply the concepts they learned in the online modules.For example, groups would spend time on plan reading exercises and the instructor was able tospend time providing feedback to each group.4.3 Data gathering and analysis. Data was gathered through a reflective journal kept by theinstructor and a survey administered quarter into the semester and towards the end (AppendixA). 4.3.a Instructor notes: Given the new approach to teaching the instructor kept weeklynotes about the
,yet, it is clear the model is applicable among many disciplines. Part 1 of the model specifies thefive-core components of interdisciplinary collaboration: 1) interdependence, 2) newly createdprofessional activities, 3) flexibility, 4) collective ownership of goals, and 5) reflection on theprocess [17]. Part 2 outlines the influences on interdisciplinary collaboration: professional role,structural characteristics, personal characteristics, and a history of collaboration [17]. Figure 1describes Bronstein’s [17] model and serves as the framework for the remainder of this paper. Professional Role Structural Characterisics - Holding values and ethics specific to each - Manageable
Wind by William Kamkwamba and Bryan Mealer, about a boy inMalawi who built a windmill to power his community. In 2017, the book selection was TheImmortal Life of Henrietta Lacks by Rebecca Skloot, which focuses on ethics and issues of classand race within science.During the fall semester, students participate in a 1.5-hour discussion session led by two upper-level College of Engineering students. These discussions focus on important themes in the bookand how these relate to engineering and the experiences of a first-year student. The sharedexperience is intended to encourage community-building and promote a sense of belongingamong the students. This discussion also prompts reflection about what it means to be anengineer, including the
institution, in a student’s decision toremain there. However, culture and student perspective should also be valued and considered.Institutions that are more agile in doing this may be more successful at maximizing retention andsuccess for wider numbers of students, with a range of backgrounds related to race, ethnicity,socioeconomic status, environment, and/or the intersectionality of these and others. For example,students from backgrounds that reflect first-generation college attendance can also face a rangeof similar (though not identical) challenges. While there can be various approaches to enhancingretention for students of all backgrounds, first-semester GPA may help better predict andencourage graduation for students [11-13].STRIDE: A Cohort
-year engineering students was acquired through open-ended surveys.As shown in Table 4, surveys were given to participants in Cohorts A and B at the end of thefirst-year of engineering study and at the start of the second-year of engineering study (to allowstudents time to reflect on their major discernment process and determine the certainty of theirmajor selections). In these Table 4. Open-Ended Student Feedback Opportunitiessurveys, the main questionasked participants to reflect Offered to Offered to Student Feedback Opportunitieson their first-year of Cohort A Cohort Bengineering
]. Similarly,the faculty of the pilot sections prepared a pre and post survey that all students taking EASC1107would be asked to complete. IRB approval was obtained, and students were asked to consentbefore completing surveys. The surveys had students create an anonymous identifier by whichwe were able to match their pre and post surveys while retaining student anonymity. Due to thechallenges of having all students complete the pre/post survey, as well as one faculty member notpassing out the post survey in time, the analysis is presented for 3 sections of makerspacecourses with 22 paired responses, and two sections of the traditional course model reflecting 25paired responses.The pre survey was passed out in the middle of the semester, just prior to
of LearningStyles (ILS). This model categorizes a student’s learning style preference based on fourdimensions: sensing versus intuitive, visual versus verbal, active versus reflective, and sequentialversus global. For learning programming content, the two most important scales are the visualversus verbal scale and the sensing versus intuitive scale.Numerous studies have looked at the learning styles preferences of engineering students [6-8]and have shown that the preferences are consistent across populations [9]. These studies havefound that engineering students tend to prefer more visual and sensing ways of learning.However, most programming languages taught in introductory courses are text-based, whichproduces a mismatch between the
to together develop a sharedunderstanding of and solution for an ill-structured problem.4 Teachers are redefined as coacheshelping students work toward a set of possible open-ended solutions, and students take someownership of their own learning through reflection. Typically, students learn about team skills inaddition to the course content. Engeström5 identified three stages characteristic of collaborativelearning. In his view, for learning to be truly collaborative, students must (a) work towards ashared problem definition, (b) cooperate to solve the problem, and (c) then engage in reflectivecommunication, reconceptualizing the process. Similarly, Johnson et al.6 argue that there arefive basic elements critical for cooperative work to be
) covers the entire four years. This reflects two meanings. On the Page 22.346.7one hand, the importance of FEHPs has been continually manifested and emphasized, as it is notonly the first stage of the entire honors program, but it also takes the responsibility of gettinghonors students well motivated and prepared for future engineering study and work. The majordifference in first-year programs between Uni-US and Uni-CN (actually between mostuniversities in the United States and China) is that in the United States, there is at least aone-year period in which students take “general education” courses. However, there is no similargeneral education in