implementation platforms; iii) sharpening students’abilities to design and implement complex systems using these tools; iv) provide students withskills that can help them long-life learners and successful professionals.The organization of this paper is as follows. Section 2 provides brief descriptions of the least-mean-square (LMS) algorithm and the Recursive Least Squares (RLS) algorithm. A listing of themost-used variations of LMS and the RLS algorithms is also provided along with briefstatements of their advantages and disadvantages. Section 3 provides a list of resources availableto our students and details our plan to introduce adaptive filtering concepts and implementationsto our undergraduate students. Section 4 provides the details of an active
. Industryrepresentatives will be consulted throughout the process to ensure that the planned changes areconsistent with what students will be expected to know upon commencing their careers.Future research questions will include generalizing the results obtained here to other areas ofElectrical and Computer Engineering, as well as other engineering disciplines. Does providing abroader experience early in a student’s career lead to increased learning, interest, and retention?If so, how can we develop these broad curricula while maintaining the depth that is expected ofengineering graduates?More research questions will also arise when the community aspect of these courses isconsidered. What is the appropriate mix of inverted learning courses and traditional lecture
approachcan offer stable and reliable instruction well beyond the COVID-19 crisis.IntroductionSince March 2020, the COVID-19 pandemic has affected all facets of life and has become a majordisruption to higher education worldwide. Many institutions have opted to cancel in-personclasses, including labs, and have mandated a pivot to online instruction to help control the spreadof the virus. Researchers have studied online education for decades and research shows thateffective online learning results from a planned instructional design using a systematic model fordevelopment [1]. Research also showed that educators who are new to online instruction reportchallenges related to increased workload, the usage of new technologies, and organizing theircourses
courses using the more traditional grading structure.Results show the policies of infinite resubmissions, flexible submission deadlines, andcompetency-based grading were overwhelmingly successful, as determined by student feedbackand faculty observation. The new model requires dedicated time on behalf of the instructor, interms of planning and grading, but the results indicate it is worthwhile. With some revision, thetime could be kept to a minimum while maximizing student engagement and growth.It is worth mentioning that these courses were all taught during the COVID-19 pandemic of 2020and were done with synchronous, virtual methods. The courses did not need physical space, andonline videos are available even during in-person semesters. That
5, we present some of the results, in the form of ideas forprogram improvement, obtained by using this approach over the last two years in our program. InSection 6, we summarize our work and consider future plans.2. BackgroundFrom the earliest days of EC, one of the key questions that programs have struggled with is findingsuitable ways to meet EC’s requirements regarding suitable assessment processes and documentedimprovements based on the results of the assessment of their outcomes. Evidence for this may be Page 14.493.4seen in the many papers in ASEE and FIE Annual Conferences, indeed in the number of sessions atthese conferences
howconfusion and disequilibrium can be a vital component of deep learning. He notes that whenstudents enter a state of disequilibrium accessed through reproduction (Bandura,1977), twochoices are available. The first being to work the new information into the extant plan ormethodology. The second choice is to accommodate the new knowledge by replacing the oldwith the new. Cognitively, order is restored and a balance is returned, allowing information to beprocessed into students’ long-term memory (Atkinson & Shiffrin, 1971). Choudhury and Hargis(2017) explore how formative assessment can identify real time student misconceptions duringBandura’s (1974) reproduction phase. Research has shown that Student Response Systems (SRS)can increase engagement
Paper ID #21119Mr. Jun Xu, University of Central Florida Jun Xu is pursuing the PhD degree in Computer Science from the Department of Computer Science at the University of Central Florida. He received his MS degree in Electrical Engineering from Beijing University of Posts and Telecommunications, China. His research interests include mobility models, agent path planning, and machine learning techniques applied to both large-scale autonomous and learning analytics systems. c American Society for Engineering Education, 2018 Automated Formation of Peer Learning Cohorts using Computer-Based Assessment Data: A Double-Blind Study within a Software Engineering Course Ronald F. DeMara1
MIT.3Mr. DeWitt requests more effort should be madeteaching concepts to young students. Mr. DeWitt’s realization came when he noticed his studentsmissed key concepts although they were attending well planned lectures and completing assignedbook reading. To remedy this, he engaged students with a different style of teaching that madethe subject less intimidating and more fun. American astrophysicist Neil deGrasse Tyson mentions a similar problem during a speechgiven to the American Association of Physics Teachers.4He also highlighted the significance ofeducators relating to their students during lecture. For example, teachers can engage the studentsby making references about pop culture and relating it to the lecture. Much like what
arerelatively difficult teaching goals. This paper proposes that it may be possible toaccomplish these goals by combining the use of traditional lectures with active andcollaborative learning and with the Socratic Method of directive questioning/reasoning,in which the instructor poses a problem and asks a series of directive, probing questions,to help students follow a particular approach to solving the problem.The directed questions contain useful information to assist students in (a) understandingthe problem, (b) devising a plan to solve the problem, (c) carrying out the plan, and,finally, (d) reviewing/extending the problem. In the last step [step (d)], students areencouraged to reflect and look back at the implications of the problem solution, what
those four lab exercises. We also detail the survey results and analyze the implicationsof those results. The experience presented in this paper is valuable for our faculty members tomove more lab exercises into the cloud. We believe our experience is also valuable to othereducators who plan to use cloud computing services such as Amazon EC2 in their computerscience and engineering courses. The link to our complete lab manuals and instructions is listedat the end of the bibliographic section.1. IntroductionThere is no doubt that cloud computing has become a reality. People talk about it, spend moneyon it, and gain substantial benefit from it. In response to this significant trend in computing, ourcolleges encourage faculty members to use cloud
lives tooptimally handle and limit necessary responsibilities. That is, although capable of doing goodwork in short bursts, it‟s difficult to get them to focus, persevere, innovate, and endure over thelong run, further reducing both quantity and quality of the research. Many just do not considerthe research position a “real” job since it is only part-time within the university, is indirectlyrelated to their formal course education, and is not micromanaged. This allows some torationalize and excuse their tardiness, absenteeism, minimal planning, procrastination (verycommon), and less-than-maximum effort.Related to this is an overall decrease in true intellectualism and scholarly mindset. Very fewmodern students, including research assistants
audience in the service course. Sincere and detailed answers toopen-ended questions are similar in depth and value to what can be collected (at a muchhigher cost) in focus groups. The frequency of surveys and prompt availability of theirresults render this feedback formative: some of the necessary changes can be readilyimplemented during the semester.An additional value of the student feedback involves continuity of the learners’experience: at the end of every semester we ask students enrolled in the course to provideadvice to the students who plan to take this course in the future, and we convey their(wisest) advice to new students as part of the course syllabus.In order to provide incentives to students and collect feedback representative of the
a continuous assessment tool for the teacher.However, also some teaching outcomes related to generic skills were planned as built-in features;for instance, promotion of the students’ academic literacy practices and information retrievalskills are among the learning objectives of the course [8]. In this paper, academic literacy refersto social, cultural and contextual practices associated with academic study (e.g., practices ofacademic writing), and the student’s ability to apply these literacy practices (e.g., reading andwriting of scientific papers) [9,10,11]. Based on the principles of situated learning [12], thetargeted generic skills are best trained in the appropriate social and material context, in this case,on the course.Most of the
to be inadequate for the students and so the number ofcomponents was increased for the fall semesters. The fall students still felt that they neededadditional hardware, and so we added a few more inductors and capacitors and plan to use thecomponent list in Table III for all future online labs. The op-amp was also changed for one thatis more compatible with the lower maximum voltage capability of the AD2 power supplies. The Pre-Lab Survey - Before the labs began in the fall, all students were asked about theirpreferences for the location of their labs and about the expected outcomes if they were to take thelabs online or on-site. They were also asked about their preferences for partners. Students wereable to self-select either online or on
most of the skills listed above are satisfied, either directly or indirectly, through ABETcriteria, some are emphasized more than others. Bloom’s taxonomy of educational objectives(1956) is widely used in curriculum design to plan learning experiences and prepare evaluationtools [6]. The original taxonomy was organized into three domains: Cognitive, Affective, andPsychomotor, although only the cognitive domain was developed initially, followed by work onthe affective domain by [7]. The cognitive domain includes objectives which deal with the recallor recognition of knowledge and the development of intellectual abilities and skills. The affectivedomain includes objectives which describe changes in interest, attitudes, and values, and
far have been focused on encouraging mathematicalthinking at the junior year, but we plan to extend our work to the freshman and sophomore yearsas well. Our approach has been to dissect and rearrange the calculus sequence into small modulesand to deliver each module at the right time, as the math becomes necessary to develop intuition inan ECE LSM. Our hope is that this approach makes the connection between mathematics and ECEmore evident and compels our students to view mathematics as a powerful tool for deeper learningin ECE.ACKNOWLEDGEMENTThis work is supported by the NSF, IUSE/Professional Formation of Engineers: RevolutionizingEngineering Departments (RED), Grant EEC-1519438. Any opinions expressed in this paper arethose of the authors
, Page 12.472.4computer architectures, and database management systems (DBMSs). The members of the IABfeel that any student who plans a career in IT should understand the essentials of all these areas.During the fifth through eight semesters, students can get more depth in any of these areas byenrolling in the many elective courses offered.Considerations for the Software Development CoursesThe purpose of this smorgasbord of course experiences is to give the student an early, yet fairlycomplete, overview of the curriculum areas offered by CIT. In addition, at the end of eachcourse, students acquire a new, immediately-marketable skill. This exposure not only increasestheir employability for summer internships or full-time jobs, but also should
an article, 1 pointfor distributing it, 2 points for their questions, 2 points for the summary and 3 points for leadingthe discussion. Given that there were more weeks in the semester than students in the class, theinstructor initially planned on leading the discussions herself during the remaining weeks. Afterthe students signed up during the first week of class, the extra weeks occurred late in thesemester. As the semester progressed, several students expressed a desire to lead an additional“Fabulous Friday” as a way to earn extra credit for the course or to improve their performanceover their first “Fabulous Friday”. Students were given the opportunity to do another “FabulousFriday” for up to five extra credit points. For the two students
AC 2008-1661: A STRUCTURED ASSESSMENT FRAMEWORK FOR TEAMWORKSuk Kim Chin, Australian Catholic University Suk Kim Chin is a Lecturer in the Institute of Business and Informatics in the Australian Catholic University, Sydney. She graduated from the University of Technology (Sydney, NSW) with a PhD in Telecommunications Engineering and a Graduate Certificate in Higher Education Teaching and Learning in 2003. Her research interests include multicast technology, enterprise resource planning, and developing effective teaching models in engineering education. Page 13.111.1© American Society for Engineering
enables the Page 13.943.2instructor to custom design and individualize instruction and learner to “plan, execute, andmanage” his or her learning experience at the rate, place, and time of the learner’s choice.Folkestad and De Miranda11 have used multimedia through screen-capture to teach students howto use CAD software. They reported that students were unsatisfied with this instructional tooldue to its fast pace and the need to switch back and forth from the recorded lecture to the CADsoftware. In paper12 a new instructional tool was developed and the problems encountered inreference11 were solved by having a variable pace (slow, medium, fast
Overview Lesson Planning: A microcontroller must be connected to external devices to be able to do any useful This module starts the work. A typical embedded application would have the microcontroller receiving student using the I/O information (inputting) from an input device, modifying or making decisions based capabilities of the on the information and the task at hand, and outputting some control action or microcontroller. It does information to an output device. not use interrupts. Learning Objectives This module will help you learn about the parallel input
; a higher performing microcontroller with more flash memory may be warranted in the future;• need to incorporate accelerometer in future labs; how to best use this device for maze navigation is still under investigation;• our new robot includes capability to include more sensors; one planned sensor is the so-called “whisker” sensor that detects when the robot has made contact with an obstacle; so doing will hopefully help in maze navigation.Bibliography1. “Atmel 8-bit AVR Microcontroller with 32 Kbytes In-System Programmable Flash Datasheet”, revision 7674D–AVR–08/08, August 2008, available at Internet URL http://www.atmel.com/dyn/resources/prod_documents/doc7674.pdf .2. Internet URL: http://www.trincoll.edu
Page 14.794.8exposure to and practice with event-driven programming and design patterns, but also includinga significant software engineering design-build-test experience.The course being replaced, Advanced Programming, covered advanced programming conceptsincluding polymorphism, dynamic dispatching, and concurrency. It also provided, at theindividual student level, an initial opportunity for open-ended project work, requiring the fullsoftware development experience of identifying and articulating requirements, designing asolution to meet those requirements, designing an appropriate test plan, implementing thesolution from scratch, and validating its correctness using the test plan.The original course and also the new intracourse that replaced
output correct?Following the requirements analysis and the internal consistency check, the specificationprocedure may start, that deals with the information needed for creating the architectural con-cept as well as determining the required components to meet the system functionality. Thespecification does not explain how the embedded system works, but it explain what theembedded system does.Describing how the embedded system integrates the functionality described in therequirements analysis is very important in choosing architecture of the embedded system. Thearchitectural concept is a plan on the overall structure of the embedded system for the designof the components that put the architecture in order. Such a design follows two modulardesign
andcommunicate to any external prototype/other communicating instruments, which willhelp both the educators to develop any new lesson plans/projects and students to explorethese tools to learn electrical, programming, or other engineering concepts. The authors strongly believe that the future of NXT looks very promising and theuse of the LEGO MINDSTORMS NXT brick is an effective way to introduce and teachthe concepts of any engineering field, certainly not restricted to electronic sensor circuitsand sensor applications but in areas such as robotics, logical programming, traditionalconcepts of mechanics, and much more. The authors strongly believe by incorporatingthese LEGO NXT kits into our freshmen engineering courses, we can promote
New Brunswick, Canada, in 1974. He received his Ph.D. in electrical engineering from the University of Saskatchewan, Canada, in 1979. He has been a Professor with the Electrical and Computer Engineering Department at the Universidad del Turabo since 1996. He served as Professor and Chairman of the Electrical Engineering Department at the University of North Dakota, Grand Forks, from 1989 to 1996. From 1980 to 1989 he worked as a reliability and interconnection planning specialist at Manitoba Hydro, Canada. He pioneered research in the area of probabilistic assessment of power system transient stability and consulted to several utilities and government agencies and published over 40
think ofelectricity only in terms of equations and analysis techniques.” A more thorough evaluation ofthe safety module is planned for the 2006 Field Session. It is our intention to present a moredetailed assessment after the electrical safety course becomes well established and sufficient datais available.ConclusionsWhile it is premature to determine if the course objectives have been met, or to suggestimprovements for future classes based on the available assessment data, some conclusions aboutthe Electrical Safety Module can still be drawn. The module addresses the concern expressed bymany in industry that young engineers have very little understanding of what is required tomanage the risks in electrically hazardous environments. As a result
be downloaded. The fourth most common topic was to expand the use of this technique inthe current and other courses. The fifth and sixth most common comment was dealing with thelimitations of using multiple choice quizzing. Currently we are using the same quiz for follow-up attempts because our current learning management system can only handle randomizedquizzing for very simple cases. The seventh most common comment topic involved the timingand frequency of online quizzes. Overall, these comments were quite positive and will behelpful in the planning of future implementations of online quizzing.ConclusionsBefore trying to address the fourth SOTL question in Table 1, which deals with facultyworkload, approximate answers are needed to the
and interact with, such asrobotic pets, tennis ball launchers, and even a martial arts robot. Quite often students wanted tobuild their own automatic NerfTM launcher, or they provided ideas and feedback to improve therobot during a question and answer session. They had several great ideas: make it mobile withwheels or treads, make it able to track multiple targets, and make it able to identify non-targets.This provided opportunity for the group to interact with the students and help them plan and discusshow such upgrades could be implemented.ConclusionsIt is typically uncommon for primary and secondary students to experience understandable engi-neering projects and meet engineers, particularly young engineers with whom they can relate
). IEEE.2. Gary, J., Mires Peter, W., Howie, R. M., Harden, G.A. (1998). A 'Topical' Approach to Planned Teaching and Using a Topic-Based Study Guide. Medical Teacher, 20(5), pp.438- 441.3. Bonwell, C.; Eison, J. 1991. Active Learning: Creating Excitement in the Classroom. AEHE- ERIC Higher Education Report No. 1. Washington, D.C.: Jossey-Bass. ISBN 1-878380-08-7.4. Bergmann, Jonathan and Sams, Aaron. (2012). Flip Your Classroom: Reach Every Student in Every Class Every Day. International Society for Technology in Education.5. Hitt, J., & Boettner, D., & Suhr, S., & Dillon, J. (2009, June), Project Based Teaching of Engineering Design Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. https