,foliage), and navigation processes (i.e. changing user viewpoint and maneuvering around site);and bringing all of these elements together into a working system prototype. The students wereprovided with mentorship from two faculty members of the San Francisco State University, onefrom Computer Science department and the other one from Civil/Structural Engineeringdepartment), along with feedback from the SEAONC DES committee to advance their work.This support system provided them the necessary technical support while providing expertise inthe context of the application.3. ResultsNote: The following reflects the experience of the student participants reported as co-authors tothis paper.Pre-Assessment: Reflecting on the computer science curriculum
reported their confidence in each answer both pre- and post-comicon a 1-4 Likert scale. In all cases, average student confidence increased with the second time they answeredthe ConcepTest questions as presented in Table 6, which would again reflect the general self-reportedimprovement in confidence as measured in the additional survey questions. The greatest confidence bothpre- and post-comic were expressed by students who answered correctly pre-comic and then stayed withtheir same correct answer. The lowest confidence were expressed by students who were incorrect pre-comic and changed their answer to another incorrect option.Table 6. Average student reported confidence in their ConcepTest answers from pre-comic to post-comic,for each combination
1understanding (or the lack thereof) of a science concept, using a rubric to identify strengths andweaknesses in one's persuasive essay, writing reflective journal entries, and so on” .So, what is self-assessment? Two key definitions of self-assessment that guided this study werethose of Brown and Harris [5] and Panadero et. al [6]. Brown and Harris [5] defined self-assessment as a “descriptive and evaluative act carried out by the student concerning his or herown work and academic abilities”. Panadero et. al [6] went a step further to include themechanisms and techniques involved in performing the self-assessment work. They defined self-assessment as a “wide variety of mechanisms and techniques through which students describe(i.e., assess) and possibly
currentchapter.While several studies reported the effectiveness of the concept map as a cognitive learning tool,the effective interpretation of the concept map is one of the key factors. Because of the big sizeof the concept map in general, interpretation of each of the components and their interconnectionby learners is not always very smooth and reduces the efficacy of using the map. This issue isreported in literature and the term “map-shock” is used to portray its harshness [19, 20]. Map-shock is the reflection of a student’s reaction to the gigantic and complex nature of a conceptmap, especially if the map is an entire course-wide presentation. To avoid this complexity, and tomake the concept map easily recognizable, this study used the shape of a tree to
engineering and art designpractices. Others have reported and discussed the challenges inherent with teachinginterdisciplinary design.5,6 Though instructors who primarily teach in general education coursesmay be familiar with these challenges, the inclusion of co-teaching with an instructor out ofone’s discipline makes this a unique course design to provide general background to non-engineering and art students while continuing to emphasize the art and engineering designintersection.The general education capstone course is a culminating course, which requires students to workin an interdisciplinary theme on a project. Reflection, writing, and presentations are requiredlearning objective areas in the general education capstone course, though each
4 knowledge task Relevance Applying theoretical knowledge 4 Self-control and self- Encouraging students to reflect on their learning 4 reflection and behavior Epistemological Teaching students to identify complexity and 3 understanding uncertainty related to domain-specific knowledge Teaching for understanding Helping students develop interconnected 7 knowledge and apply to tasks Supporting learning for Understanding what concepts and information is 4 understanding needed to solve
thesetechnologies. The two columns of data reflect participant group preferences. Thus, the first row(under Autonomous Robots) in Table 2, “Programming”, was among the top five selections for34% of the manufacturers and 52% of the college faculty.The plan for the data analysis was to address the five questions summarized in Table 3. The orderof the questions in the table does reflect the analysis progression through the aggregated data.Thus, the first order of events was to determine the popular skill selections for manufacturers andeducators. Once those selection percentages were reviewed, the degree of popularity by groupwas explored. After reviewing aggregated responses, the fourteen skills were grouped based ondifferences between the manufacturers’ and
multimodal approach. Each student first answeredthe questionnaire questions. These questions were targeted to get students' individual opinionsabout challenges they experience in their STEM courses, strategies to stay focused in theircourses, and steps students take to mitigate these challenges. Later, we divided these studentsinto seven focus groups comprising five groups of four students and two groups of five students.In the focus groups, students collectively reflected on their learning challenges and strategies thatworked for them. Also, students suggested the factors that influenced their decision on theirfuture in a STEM career. The students' focus group discussion were video recorded. Further, theresearchers wrote the reflection memos to
Work-in-Progress: Engaging First-Year Students in Programming 1 During COVID-19AbstractDuring the Fall 2020 semester, it became even more important than before to engage students inthe “classroom” whether that be in-person, online, or a hybrid model. This paper will introducevarious entrepreneurial mindset (EM) techniques to engage students that could be adapted to anyengineering course. All the techniques have suggestions for adapting to a fully online course aswell as working for an in-person or hybrid class. The first activity presented will be name signswith badges that will promote (1) setting, evaluating, and achieving goals, (2) self-reflection, (3)considering a problem from multiple viewpoints, and (4
rankhigher on the spectrum then they did originally. By the end of the semester both the first-yearME 110 and senior ME 465 students also increased the number of steps they had in their processand the maps went into more detail of steps using that common language previously mentioned.ConclusionsFrom the research and the data collected during that time a few conclusions can be drawn. Thefirst is that students entering the mechanical engineering department as a freshman compared towhen they prepare to leave the school after graduation their knowledge of the design process hasgrown to reflect what they have learned over their education. Another conclusion is that it isimportant to teach the steps to the design process to the students as first year
most usefulgains connected to their careers.Assessment and Evaluation Student outcomes were evaluated by analyzing results of the Undergraduate ResearchStudent Self-Assessment (URSSA) survey. As part of this program, we administered the URSSAsurvey at the end of the first semester (UIUC IRB #21284) [9]. This scale developed byUniversity of Colorado Boulder evaluates skills-based student outcomes of undergraduateresearch experiences to identify students' perceptions of gains from engaging in research. Whilethe survey response was positive, due to the small size of the current cohort (n=6 students), wechose to use the survey as a reflection tool for program organizers (faculty and staff). See belowfor reflections on the pilot program
Iowa State University. Her research interests include learning and teaching an- alytics, dashboards, online learning, self-regulation, student engagement, and reflective practices. Her current work aims to examine how instructors’ teaching strategies and methodologies may be informed and improved by interpreting data visualizations (i.e., dashboards) in both in-class and online environ- ments.Dr. Evrim Baran, Iowa State University Evrim Baran is an associate professor of educational technology in the School of Education and Human Computer Interaction at Iowa State University. She conducts research at the intersection of technology in teacher education, human-computer interaction, and learning sciences. Her research
. Dating back to the 1960s, researchershave explored the theoretical characterization of intercultural competence and the effectivenessof varying classroom practices [24]. More recently, various researchers have explored theefficacy of CEL and research immersion experiences. Research shows that teachers learn tonavigate complex, intercultural encounters through challenging CEL experiences promoting,“reflective, critical and ethical practices” [25].Since international engineering CEL has the potential benefit to both increase interculturalawareness, while also demonstrating engineering as a career that helps humanity, engagingteachers in this type of experience may prepare them to encourage and inspire their students,particularly females and other
variables to create four composite variablesthat are scored on a percentile scale. The normed percentile scales make these variables ideal forsmall sample sizes as in the present case. The four composite variables are defined as follows in theLIWC Manual [6]: • Analytic Thinking - A high number reflects formal, logical, and hierarchical thinking; lower numbers reflect more informal, personal, here-and-now, and narrative thinking. • Clout - A high number suggests that the author is speaking from the perspective of high expertise and is confident; low Clout numbers suggest a more tentative, humble, even anxious style. • Authentic - A higher number is associated with a more honest, personal, and disclosing text
educational technology tools in STEM classrooms in the pastfew decades. Previous studies have discussed the impact of design, development, and use ofeducational technology tools on creating an interactive learning environment for students.However, in the realm of user experience, limited studies explored the context of technology andstudents’ experiences while interacting with educational technology tools, such as students’perceived ease of use. Accordingly, this work in progress study explores reflections of students’experience while interacting with the most commonly used education technology tools inpostsecondary classrooms. For this study, we recruited thirty undergraduate STEM students fromtwo midwestern educational institutes. Our primary
body. Over thepast twenty years or so, we have tried in the Department of Mechanical Engineering at MichiganState University (MSU) to delve into areas that are normally not on the radar of the mechanicalengineering student. Those areas are “extras” in the teaching of students and if we take the timeto question our students on what they have been asked to do outside of the technical pursuits, Ibelieve that we will find that their perceptions of life in the real world will far exceed fluids andcontrols. The purpose of this paper is to look at all the things that have been experimented withover the years at MSU and in future papers prepare documentation that reflects the reactions ofthe students to these “extras.”Within this paper will be a
. As this is a work in progress, future consideration willinclude CAD drawing, prototyping, and testing. The authors will discuss how the researchproject focused on each component of experiential learning: 1) experiencing, 2) reflection and 3)application. This work will also discuss the preliminary findings of a questionnaire used to guidethe student’s direction during the initial portion of the application phase.IntroductionInnovating new energy harvesting techniques that do not rely on fossil fuels is a critical steptowards expanding sustainable infrastructure and fighting the effects of climate change. The YaleProgram for Climate Change Communication (YPCCC) conducted a survey with Climate Nexusand the George Mason University Center for
this program is a work in progress, only preliminary data from the first two cohorts areavailable for program evaluation. Current evaluation efforts were based on participantreflections, pre- and post-program Local Systemic Change (LSC)11 surveys, participation inacademic year follow-up activities, as well as data collection and reflection during the follow-upacademic year. These sources were aggregated to describe the impact of the participants’summer experiences for primary investigators leading the program, materials and manufacturingresearchers, in addition to the NSF funding agency. The evidence collected regarding the nineobjectives based on the three research topics are listed in Table 1 including progress andrecommendations for the
• Based on interests • Sense of belonging • Locally applicable • Growth mindset PERIODIC/ REOCCURRING Community Involvement Survey of Classroom • Local Community Organizations Climate (e.g. City Council)Figure 1. Framework for series of classroom interventions.Authentic Project (Relevancy)• On the first day of class, an authentic project is assigned to pique student interest and demonstrate the applicability of the course. Students are asked to reflect on their
creating betterinter-corporation collaborations.The common assignment was graded by both professors who taught the two foundationalcourses. The reason for doing it was to understand and eliminate potential bias that an instructorcould have towards his/her students. Results of our first round of this intradisciplinaryassessment are presented in the next section.ResultsStudents work of the common assignment was graded by both professors for all five of thecriteria (i.e., Curiosity, Initiative, Independence, Transfer and Reflection). Each student wasgraded on a scale of 1-4 on each of the five criteria.Figure 2 shows the average grades of all 24 students enrolled in the Database Fundamentalscourse. We see that professor who taught the course (i.e
anengaging platform. In order to present students and teachers perception about this newmethodology, Kahoot system is presented in five different approaches: Introduction of anew concept or topic; Reinforcement of knowledge; Encouragement of reflection andpeer-led discussion; Connection of classrooms and Challenge for learners to make theirown Kahoot quizzes. Some of these purposes presented were studied in Physics I andChemistry courses for freshman students and Physics II course for sophomore students inan Engineering School.IntroductionImmediate feedback enhances students’ learning. For students, it’s a chance to go furtherby breaking misconceptions and changing learning routes. For teachers, it’s a practicalopportunity to feel the “temperature
differential effects of the instructors’ approaches.BackgroundCourse description. The course examined for this study is taught through a combination ofmethods, including directed readings, classroom discussions, activities, reflective writing, andpresentations by guest speakers. Students in both sections learn about self-management, values,centralized and decentralized organizational structures, the leadership vs. management debate,implicit bias, women in leadership, and creating a culture of participative decision-making.Guest speakers from a range of industries and levels of experience present to both sections andhave lunch with students. The students’ learning culminates in a team project.Instructor A’s section emphasizes class discussion
) educational programs and careers [1]. This underrepresentation is reflected in the normsand culture existing in STEM fields. The perception of a white-men dominated environment canoften result in unfair stereotypes and biases imposed on women and people of color. These studentscan face assumptions of inferiority and be considered as part of the STEM field only as part of arequirement or quota [2],[3],[4]. Group based project learning is a common tool used in the engineering classroom topromote the acquisition and development of skills that prepare students for engineering careersrequiring significant collaborative effort. Working in groups and collaborating towards acommon goal allows students to develop their communication, leadership
appreciate what an engineering degree, and engineering itself,entail. Students drawn to engineering because of high school success in math and science shouldleave first year informed about the other skills they will need if they are to thrive as engineers.Our first year must also prepare students for second-year specialization, both technically and inregards to the choice of department. Departments expect a certain level of readiness innumerical literacy, ability to use software tools, presentation and interpretation of data ingraphical form, and ability to critically reflect on the reasonableness of results. To achieve thesegoals, an engineering practice and preparation half-course called “Thinking Like an Engineer”(TLE) has been developed. The
program administratorshave determined those to be the courses students struggle with most in their first year in STEMat Rice [12]. Further, as not all topics can be covered in six weeks, individual topics within eachsubject area have been selected to ensure students are taught material on which underpreparedstudents at Rice have historically performed poorly compared to the rest of the class.Summer courses in RESP are taught by university professors, who cover the same content duringRESP that is taught in their classrooms during the regular semester. RESP students receivegrades for their work that reflect the same grading standards as regular fall and spring semesterclasses, though these grades do not count as part of the student's official
triggeringdifferent thinking in students to enhance his or her creative thinking. The proposedmodel can thus identify level of creativity and assist both teachers and students.IntroductionIn a highly competitive global market, industries urgently need talented people whocan innovate and engage in self-design. To meet the needs of industry and cultivatetalented workers, engineering education courses in most schools focus on developingstudents’ abilities to collect, analyze, interpret, and apply detailed information, as wellas to create, reflect, and adapt to change. Therefore, engineering education programsshould give importance to how they can equip students with adequate innovationskills.In creativity education, the interpretation and opinions of the
Variability in Instruction of Introductory Chemical Engineering Course: Does it Affect Our Students?AbstractEngineers are commonly described as problem solvers. Arguably, the best problem solversconsist of the most versatile information-gatherers and processors. Learning styles describe howindividuals gather and process information. The Felder-Silverman learning styles model consistsof eight learning styles dimensions, with two opposing preferences in each dimension(active/reflective, sensing/intuitive, visual/verbal, sequential/global) that categorize individualsbased on how they best process, perceive, receive, and understand information. It is important tonote that these descriptions of learning styles are preferences, and
role in a creative design-driven business environment. However, manymanufacturing SMEs that produce technologically complex products have insufficient humanresources and skills to cover the breadth of competencies needed. Opportunities forimprovement are often limited or seen to be too expensive, such as enhancement of their in-house design capacity through external resources in the form of design services, tertiaryinstitutions, or by cross-industry knowledge sharing.This paper describes an innovative educational program, which is aimed at the developmentof talent pathways for engineering students that reflect the skill requirements of design drivenmanufacturers. Concurrently, a professional development framework for design practitionersfrom
and the angle of inclination was measured using a protractor. 3) Measure the direct and diffuse solar radiation as discussed earlier in the afternoon. Again, the open-circuit voltage of the solar panel was measured with the multimeter and utilized to examine the amount of direct and diffuse solar radiation. 4) Measure the amount of solar radiation reflected from the ground. Again, the open-circuit voltage was utilized to study how much solar radiation is reflected from the ground. 5) Hook up the electric motor on the car and operate the car on solar power.After the afternoon tasks were completed, the teachers reconvened and discussed their resultsand how the content could be integrated into their middle school
• Business plan rehearsal (part 2) • Business models12 • Conceptual business model review • Feedback on business plans13 • Business plan preparation • Business plan competition14 • Business plan presentation to class • Formal design and business reviews • Business plan competition15 • Reflection on course and learning • Reflection on course and learning • Course and team reviews • Course and team reviews Page 12.679.5Course Goals and Learning OutcomesThe overall goal of the course is to prepare students for the professional challenges they will facein entrepreneurial