]. Reflectioninvolves thinking back about something that happened. Reflection is a natural part of learning,and it can be directed towards academic tasks, like solving problems.More recently, Kamp [6] outlined the importance of a focus on learning-based learning, that is,learning in which students take the initiative and have full autonomy in the learning process. Theconcept of learning-based learning developed due to the datedness of classic teaching methods(i.e., a focus on education as a series of steps and concepts to build upon and master), in a worldwhere the internet allows for access to unparalleled amounts of information about a relativelyinfinite number of topics [6]. Kamp [6] states that for students to succeed, the way they learnmust become
no additional credit beyond full mastery of anobjective. Hence, an objective that is mastered early in the semester might not draw the student’sfull attention on a module assessment later in the semester. That would lower their MAperformance as measured in this study (but it would not impact their grade in the course). Table 6. Average GPA outcomes. The average grades of students in each course over the semesters represented in the study segregated by gender and by whether or not the students did at least one self- assessment during the semester. All Men Women Course All w/SA w/o-SA All w/SA w/o-SA All
information needed to solve the homework directly from theinstructor”, marked with an orange vector in the right and lower part of the graph, indicate thatstudents consider that it would be better to get less information from the teacher, as occur in anexpository master class. Notice that the shift from 3s and 4s “Watch the instructor demonstratehow to solve problems” has the same direction as “k” but did not result with significantdifference; meaning that students are open to less of these passive actions. Whereas the shift from3a to 4a “Listen to the instructor lecture during class”, moves in the opposite desire direction, itcould be interpreted as students having difficulty abandoning the passive learning method ofbeing told. That is, students
cloud based qualitative andmixed method data analysis tool [19]. The next step was to code the transcript inductively; theco-authors first individually coded the transcript. After the individual coding was complete, theteam discussed the individual code books and agreed on a final master code book (See AppendixB).ResultsIn this paper, when referencing students, we talk about what teachers shared about their students’experiences. We acknowledge that we do not share findings associated with the students’perspectives themselves, but rather focus on the students’ experiences from the teachers’perspectives. Future work will include student focus group data. Additionally, we define “newteachers” as instructors who are teaching the curriculum for the
Paper ID #37856Contributions of interdisciplinary learning toward AE graduates’success: An industry perspectiveZiyi Wang, Penn State University Ziyi Wang is a Ph.D. student and graduate research assistant in the Architectural Engineering Department at Penn State. Ziyi received her Master of Science in Construction Management from the University of Florida. Her research interests include automation in construction, machine learning, engineering education and constructability. Her email address is zbw5207@psu.edu.Dr. Robert M. Leicht, Pennsylvania State University Robert M. Leicht is an assistant professor and graduate of the
. This is due to two unique factors:(1) ECE students have inherently self-selected—and thus, already anticipated—a curriculum thatexpects them to master electronic and digital devices and environments, and (2) many hands-on,active-learning laboratory activities in ECE involve measurements with instruments nowavailable in miniaturized, mobile, low-cost realizations. Therefore, in the new normal,combinations of online, face-to-face, asynchronous, and synchronous instruction can elevatestudent learning by: ● Using online tech to deliver basic knowledge content (instead of live lectures), freeing up more instructor time to provide personalized coaching with individual students. ● Transferring low-value-added, time-consuming tasks (e.g
2022 in a special topics class focused on ergonomics andbiomechanics. This course offering had 9 students and students from bs, ms and phd programs.Instance A2 is a course offered by the same educator as A1. This was a course on inclusive andaccessible design taught in winter of 2023 to 37 masters students. Instance E1 was taught by asecond educator, was taught in autumn of 2022, and had a student enrollment of eight doctoralstudents. The course for this instance was a doctoral seminar for students just starting theirdegree. Instance E2 was taught by the second educator, was in a capstone design course forundergraduate students, and had 74 students enrolled. While these courses are quite different interms of subject matter and scale, all of
Assistant Professor in the department of Engineering Technology at Austin Peay State University, TN, USA. He has a cumulative Industry, Research and Teaching experiences of over 10 years. His research interests lie at interface of Manufacturing and Material Science, pedagogy and Industry 4.0Prof. Ravi C. Manimaran, Austin Peay State University Ravi C Manimaran is Professor and Chair of the Department of Engineering Technology, Austin Peay State University, Clarksville, Tennessee. His education includes two Master of Science degrees in Elec- trical and Computer Engineering and Electronics and Control Engineering. He has been actively involved in higher education leadership in various capacities as a Dean, Department Chair, PI
Paper ID #37815Developing Post-pandemic Learning Community on an Urban CommuterCampusProf. Lily R. Liang, University of the District of Columbia Dr. Lily R. Liang is a Professor of Computer Science and the Director of the Master of Science in Com- puter Science Program at the University of the District of Columbia. Her research areas include computer science education, cybersecurity, artificial intelligence, and digital image processing. She has mentored dozens of graduate and undergraduate students in research and K-12 outreach activities. She is a fellow of the Center for the Advancement of STEM Leadership program (CASL
manager training, and partner development. These business achievements are reflected in his aca- demic activities through the designing of lectures and mobility programs with practical implementation perspectives. Ishizaki has been actively presenting and publishing his academic achievements at interna- tional conferences in the Asia Pacific region and North America such as APAIE, WERA, and NAFSA. He earned a Master of Business Administration majoring in international business at the University of Southern California in the United States of America, and a Bachelor in Law at Hitotsubashi University in Japan.Dr. Sumito Nagasawa, Shibaura Institute of Technology Dr. Sumito Nagasawa received Ph.D. in Engineering from the
Paper ID #37545Analysis of gaps in the training of engineers in relation tointernational standards: The case of industrial engineering students inChile.Mr. Ruben Vega-Valenzuela, Universidad Andres Bello, Santiago, Chile Master in Industrial Engineering from the Andr´es Bello University, Public Administrator from the Uni- versity of Chile. He has three diplomas in the areas of operations management, project management and managerial management. Likewise, he has certifications in ontological coaching and comprehensive facilitation of learning processes. He currently works as academic secretary and tenured professor at Uni
-medium size companies and multi-national enterprises such as global strategy planning, cross-border business entry, middle manager training, and partner development. These business achievements are reflected in his aca- demic activities through the designing of lectures and mobility programs with practical implementation perspectives. Ishizaki has been actively presenting and publishing his academic achievements at interna- tional conferences in the Asia Pacific region and North America such as APAIE, WERA, and NAFSA. He earned a Master of Business Administration majoring in international business at the University of Southern California in the United States of America, and a Bachelor in Law at Hitotsubashi University
. One instructor reported that he had initially allowedfor full replacement, but then a non-negligible number of students did not show up for the initialexam, defeating the purpose of offering second-chance tests.The policies included the aforementioned “90-10” and “one-third two-thirds” policies and asimple average (“50-50”), among others. The instructors provided a range of explanations fortheir choice of grading policies. The instructor that used a simple average ran second-chanceexams that used the same problems but with different numbers than the first-chance exam; less“come back potential” on the second exam was in line with the lower effort of mastering thespecific questions that one had already seen. Another instructor said they were
instance, it is assumed that students learn debugging by havingexperience with debugging [13]. However, a study by Whalley and colleagues revealed thatstudents’ reflections on their experiences with debugging tend to be negative [14]. In this study,students expressed that exploring strategies such as print statements frequently will make themmiss the program’s general idea, forcing them not to follow a methodological approach [14].Although debugging is a challenging task, it is also an essential skill that students must master toacquire other computational thinking skills [15]. Consequently, exploration of students’debugging skills is essential to develop teaching and learning strategies that fully explode theiralready-in-place preferences and
modeled for the students by the facultybecause it is difficult to do so without guidance or confirmation that immediate success isuncommon. 2. It is often difficult for students to break down a large goal or a long-term goal (such as succeeding at a mastery experience) into smaller steps or short-term goals. This is especially true in first-year courses or courses with large projects, and faculty should help students with this task.Goals are necessary for attaining the experiences that students need to build on to master a topicand build self-efficacy. However, being able to set solid attainable goals is a rare skill, especiallyfor first-year college students. Students may need help from faculty to set goals, and remindersabout
] Tierney, W. G., Corwin, Z. B., & Colyar, J. E. (2005). (Eds.). Preparing for college: Nine elements of effective outreach. Albany, NY: State University of New York Press.[10] Ceja, M. (2006). Understanding the role of parents and siblings as information sources in the college choice process of Chicana students. The Journal of College Student Development, 47(1), 87-104.[11] Asera, R. (1990). The mathematics workshop: A description. Professional Development Program, 1(3), 1–16.[12] Conciatore, J. (1990, February 1). From flunking to mastering calculus. Black Issues in Higher Education, pp. 5–6.[13] Fullilove, R. E., & Treisman, P. U. (1990). Mathematics achievement among African American undergraduates at the
success as a touring hip-hop musician and activist.Bethany Maureen Leonardi, Bethany Leonardi has had a passion for research from the moment she entered university. She obtained her Bachelor of Science in Forensic Science from Arizona State University where she contributed to her first published research project. She then achieved her Master of Arts in Library and Information Science from the University of Arizona. While completing her MLIS, she contributed to a research project concerning locating Native American research in engineering databases. During this time she realized that she had an interest and a talent for coding which she is currently pursuing independently. ©American Society for
accreditation work with highquality; the experts who actually participate in the accreditation are mainly in-serviceteachers and academic administrators of HEIs, while the proportion of personnel fromenterprise and industry associations is very small; a considerable number of expertshave difficulty in mastering the concepts, principles and criteria of programaccreditation. Thirdly, from the perspective of technology, at present, most programs’accreditation has always been in a relatively isolated status and has not beeneffectively connected with the engineer registration system. This directly leads to thelack of training of students’ engineering awareness in the actual training process inHEIs. The phenomenon of valuing theory and neglecting practice
Civil Engineering from Karnatak University (1985), Master of Technology (M. Tech.) degree in AJames Jack Glusing ©American Society for Engineering Education, 2023 WIP: Integrating Engineering Design Projects into Early Curricular Courses at a Hispanic-serving InstitutionIntroductionThis Work in Progress paper will describe the recent activities of a continuing NSF sponsoredproject at the College of Engineering at Texas A&M University-Kingsville (TAMUK) that iscentered on increasing the rates of student retention and persistence. Emphasis during theproject has especially been placed on minority students as well as others typicallyunderrepresented in STEM related fields. An important
Paper ID #37831Design and Evaluation of an Academic Integrity Module for ComputerScience StudentsDr. Debarati Basu, Embry Riddle Aeronautical University Dr. Debarati Basu is an Assistant Professor in the Engineering Fundamentals Department in the College of Engineering at the Embry-Riddle Aeronautical University at the Daytona Beach campus. She earned her Ph.D. in Engineering Education from Virginia Tech (VT). She received her bachelor’s and masters in Computer Science and Engineering. Her research is at the intersection of Engineering Education (EE) and Computing Education Research (CER) to advance personalized learning
Paper ID #38551Board 310: Impact of Student/Team Characteristics on Design ProjectOutcomes in Senior Design CoursesMr. Hrushikesh Godbole, Rochester Institute of Technology Hrushi Godbole holds an undergraduate degree in Production Engineering and a masters degree in In- dustrial and Systems Engineering. He is currently a graduate student at Rochester Institute of Technol- ogy pursuing a PhD in Mechanical and Industrial Engineering. Prior to starting the PhD program, he has gained five years of industry experience developing new products in the smart lighting industry per- forming various roles including product management
participants were as follows: all identified asLatiné/x/a/o, 12 self-identified men, 9 self-identified women, and 1 gender nonbinary individual.There were 15 individuals that identified as first-generation (FG) and most (n=20) participantshad a Masters’ degree or higher. More than half of the participants (n=12) had five or less yearsof teaching experience. We did not collect any demographic information for the deans thatparticipated. The structure of the conference was to invite guest speakers that have done extensiveresearch in the fields of HSIs and contingent faculty to present on their current research to informthe participants, contextualize their experiences, and to serve as a launching point for deeperreflexion of their own
” of the ST offering highlighted the difference between the learning offerings. Theitems in this category include, “Course”, “Degree”, “Minor” and “Certificate”. Certificate refersto a cluster of courses from an institution to indicate that learners have taken the appropriatematerial related to a specific field of knowledge. Minor indicates a more significant degree ofspecialization.Programs were more specifically branched into “Levels”, namely “Ph.D.”, “Masters”, and“Bachelors”. This was done since some of the courses offered were tailored towards a certaincategory of students from a specific department. The “Education Institute” is relatively clear tounderstand. Each data point was retrieved from a specific post-secondary institution in
since δ = β × 𝑞, if δ is not0, 𝑞 is definitely not 0, where β and 𝑞 are elements in Equation (6). Values that are close to 0 inthe delta matrix (smaller than 0.1) will be forced to be 0 and everything else to be 1 as shown in 𝐾Equations (7) and (8). The 𝐽 × 2 binary matrix will be collapsed into a 𝐽 × 𝐾 binary matrix bygrouping up the latent attributes that are required to master the item 𝐽.Let α ∈ {0, 1}, 1 ≤ 𝑘 ≤ 𝐾, and δ𝑗𝑖 = α𝑖𝐾... α𝑖1 be the binary representation index of ith elementin the jth row of the delta matrix. δ𝑗𝑖 will be transformed to have a value of 1 if it is greater thanthe threshold and 0 otherwise. 𝐾
alone, the contribution to the overall coursegrade from homework should be no more than 10%-15%. Student perception of high self-determinacy with regards to their homework grade often provides sufficient rapport boosts withthe instructor to permit more stringent grading on exams.The initial submission consists of completed problems and a coversheet. The coversheet helpsstudents strategize and reflect on their learning by asking a few metacognitive questions derivedfrom standard classroom assessment techniques [19]. Additionally, the coversheet provides apunch list to help students (and instructors) evaluate whether their submissions are truly “goodfaith efforts” [15]. For mechanics courses like Statics and Dynamics, mastering the problem
Paper ID #38673Teamwork Assessment in Construction Undergraduate CoursesDr. Behnam Shadravan, Florida A&M University Dr. Behnam Shadravan is an Associate Professor in the Division of Engineering Technology under the School of Architecture and Engineering Technology (SAET) at Florida Agricultural & Mechanical Uni- versity (FAMU). He serves as the Program Area Coordinator for the Construction Engineering Tech- nology program. He earned his Bachelor’s and Master of Science in Civil Engineering from the Sharif University of Technology and a Ph.D. from the University of Ottawa, Canada. His background includes