focus of this presentation.MethodIn order to maintain consistency with the on-campus version of the electrical systems course, thesame syllabus, calendar and lab manual were used. The only changes made were thosenecessary in order to deliver the course online. The on-campus course met 4 times per weekincluding three 50-minute lectures and one 150-minute lab. The online version of the course hadthe video version of the same lectures delivered by using partial lecture notes. There were 3 Page 26.1464.4midterms, 2 lab practical exams, 8 labs, 10 quizzes, 10 homework assignments and a final exam.Students were required to successfully complete all of
content delivery, store assignments, sendannouncements, create discussion forums, and manage grades. BB is the official LMSof the institution and is used by instructors to upload the course materials (e.g.lecture slides, lecture and lab videos for the distance learner, syllabus, etc.), conductquizzes, and communicate with the students. Students used it to download andsubmit their assignments, complete the quizzes, access course materials, and seetheir grades.In this paper, section 2 is a literature review of online and face-to-face class Page 26.182.2comparisons. We describe our study in section 3 where we elaborate on the dataand methods used. Section 4
be based on unproctored quizzes(one per week) and an unproctored Final Exam. Although numerous online proctoring servicesare available, they require participants to pay an additional fee and it was decided to forego thisextra feature for the first offering of the MOOC. Additional information about the course can befound in the course syllabus in Appendix A.The lead author was given two units of release time (from a 12-unit teaching load) to develop theMOOC website and recruit participants during Winter Quarter 2014. During the enrollmentperiod, which began on January 20, 2014, participants were able to self-enroll in the coursethrough CourseSites and were recruited through various means including:• A story about the MOOC was featured on the
time management are course calendars and having all the course requirements spelled out at the beginning of the course (as in a syllabus document, perhaps). There were no course features that the students were queried about that were little used that were also perceived as very beneficial to time management.Using the same techniques, a Benefit Factor was determined for four course policies todetermine their perceived benefit to time management. Results are presented in Table 6. Page 24.372.10Table 6: Course Policies Ranked by BenefitReview of the summarized course policies data reveals the following. The policy perceived to
improving online education. Although using videolectures is not a new concept, Rose [3] showed that even when offering online videos forstudents to watch, instructors should find a way to make the content personalized. Rose indicatedthat online courses still required instructor influence for students to be engaged in a class. Fromthis work, various online courses had their instructors create videos for students to watch. Eventhough these videos covered the 'usual' course topics like providing explanations of courseassignments, syllabus requirements, discussing weekly topics, review for exams, and providinganswers to student questions, the personalization had a positive impact on students.2.3 Hybrid learningAnother way to run a class is a hybrid
-CyLE focuses on deploying reusable learning objectsand learning and engagement strategies to teach software engineering skills and techniques tostudents. However, since LMS’s are an integral part of most university communities, SEP-CyLEdoes support the export of student scores to a CSV file, so that instructors can load thatinformation into an organization-wide LMS. Building Learning Tools Interoperability (LTI – forintegration between SEP-CyLE and organization-wide LMS’s) is in progress.Other large efforts have been undertaken to develop entire courses for software testing andsoftware engineering. Websites like KhanAcademy and Codecademy provide completeprogramming tutorials. Massively Open Online Course websites like Udacity and
mod- eling on both organismal and population scales, biological physics, and agent-based modeling. He grad- uated with degrees in applied mathematics and physics & astronomy from the University of Rochester. c American Society for Engineering Education, 2020 “Keep your eyes on your own paper" - academic dishonesty in the era of online homework assistanceIntroduction:Nearly every engineering program has an introductory programming course or a course in which theyintroduce computer programming. A large mid-Atlantic university includes MATLAB programming intheir Introduction to Engineering course sequence as is typical [1]. In these courses, programs are
. Eachbehavior requires an appropriate sensor to trigger the activation of the behavior, a component tocontrol what the robot should do based on the sensor data, and computing the appropriatecommands for the left and right wheel motors for robot actions.Analysis of Student FeedbackThe mobile robotics course was first taught with these three enhancements in fall semester of2010. At the end of this semester, a voluntary survey instrument was administered to gatheranonymous feedback using Survey Monkey, a free online survey provider. A link to the surveywas emailed to students during the last two weeks of the semester by the department secretary.To provide motivation to complete the survey, bonus points were awarded to all students basedon the percentage
on HRI design as it applies to mobilerobotics. This presentation will summarize the course format, learning objectives as well as thedetails of the assignments necessary to meet those objectives. These assignments includedweekly readings, discussions, quizzes, labs and projects. A big part of this course involved theimplementation of the HRI concepts on an actual robot platform. The Arduino robot wasselected due to the large online community and access to sample code to help students get startedon assignments9. The labs included creating a robot dancer, music machine, touch free robotracer, robot conga line, Braitenberg vehicles, and robot remote control. The first phase of thefinal project involved the creation of an urban search and rescue
final exam after the 10th week, with each exam being half multiplechoice and half coding questions. For all sections, each week has (1) the same required onlinereading with auto-graded short question activities, (2) online small auto-graded codinghomework activities, and (3) 5-7 small/medium programming assignment activities requiringabout 3 hours. All 3 items are provided via a single C++ zyBook [17], configured to have onechapter per week.2.2. Data collectionFor this work, we focus on data from three sources. First, we analyzed student grades fromweekly reading activities, challenge activities, and programming assignments, from both themidterm and final exam, and from the overall course grade. Second, we collected data fromsurveys given to
2-4 week iteration in a team’s software development process. Most agiledevelopment processes utilize sprints to develop software.2 All materials used in this course in the Fall 2019 semester can be found here:https://classnotes.ecs.baylor.edu/wiki/CSI_2334_Fry_Fall_2019 (username: CSI2334F19, password:FrySteudelASEE2020). This includes the CSI 2334 Course syllabus, the CSI 2334 Course calendar, and the CSI 2334Fall 2019 Project (among other items).The CompSys course is primarily focused around low-level design, architecture, and code. Thisproject plays into the goals of the course by mimicking the research and design process of smallagile teams in the software engineering industry while also developing the low-level computingskills of the
grade becomes an individual component in the stu-dent’s overall course grade and an adjustment factor is determined from it. The individualadjustment factor is used as a multiplier in each student’s group project grade to dispense creditfairly among team members. All materials used in this course in the Spring 2019 semester can be found here:https://classnotes.ecs.baylor.edu/wiki/CSI 2334 Fry Spring 2019, (username: CSI2334S19, pass-word: FryMansiKuldaASEE2020). This includes the CSI 2334 Course syllabus, the CSI 2334Course calendar, and the CSI 2334 Spring 2019 Project (among other items).3 Students’ approach to the problem The students’ approach to the problem had three phases. The first entailed a preliminary ex-ploration of the
objectives. Section 3describes the practice-oriented methodologies in details focusing on several selectedsample projects. Section 4 presents student assessment methodology, the assessmentfindings, and selected course evaluations. Finally, concluding remarks along withdirections for future improvements are presented in Section 5.2. Course Outcome and ObjectivesData mining is an elective Computer Science course taken by juniors and seniors inComputer Science at Northern Arizona University (NAU). The overall course outcome isoutlined in the syllabus as “Successful completion of this course will provide a studentwith the necessary skills to design basic data mining algorithms to solve a variety of real-world applications.” In Fall 2010, we offered this
continue to contribute to the field of Physics and Astronomy Education Research. Rebecca received her BS in Physics from Purdue University and her MS and PhD in Physics and As- tronomy from the University of Nebraska – Lincoln where she specialized in Physics and Astronomy Education Research. c American Society for Engineering Education, 2017 Connecting students’ homework to their participation in a course-based social networkAbstractThis paper presents a comparison between students’ efforts on homework (problem setsdelivered and completed online using WebAssign) and their participation on a course-focusedsocial media site. The social media platform, CourseNetworking (CN
SyllabiAbstractThe course syllabus is a tool for teaching and a kind of contract with the students and theaccreditation bodies. Our experience with accreditations at the institutional or program level, bynational, regional, and state accrediting bodies indicates that a common cause for findings/concernsby these agencies is the syllabus. Different accreditation agencies will require your program’s syllabiin different formats, making it critical to keep these diverse formats in synch with each other. Alsoimportant is that information on your syllabi and the school’s catalog and website is in synch. Thesyllabus could also support your ABET accreditation goals by being an ideal place to state the skillsstudents are expected to acquire. These skills are phrased
thepapers growing longer and increasingly more complicated as the semester progresses. As aresult, grading of the students work takes a considerable amount of the instructor’s time. TheLearner Manager for the project was the instructor of record for this course and was responsiblefor all of the content including: announcements, the syllabus, assignments, grading rubrics,exams, lectures and discussion prompts. The course was delivered online. All the lectures were created using Camtasia which is ascreen recording software providing visuals of Power Point slides and the lecturer’s face andaudio recording of the lecture. This allowed the Learner Manager to deliver all of the courselectures across the multiple sections. Word versions of the
Participation Activity / Submission Effort 0 Online Course Logistics: Syllabus, Policies, Background, Instructor Profiles 2 hours BLUESHIFT Pedagogy: Digitized Course Walkthrough, EPC Procedures, Study Set on SI 1 F2F 4 hours units, Schedule EPC Quiz Appointment using website 2 F2F Modularization Planning: EPC Experience, BLUESHIFT paper, Immersive QUIZ IN EPC 6 hours Exemplar Vignettes and Score Clarification: Vlogger Paper [18], read Peer Review, EPC 3 Online
introduction to programming with C++. Theimplemented strategy blended pre-recorded online lectures and homework assignments, with oneweekly optional face-to-face meeting. The same instructor taught both the blended instructionand the traditional face-to-face lecture. The focus of this study was twofold: a) determinepotential negative impact of the blended format, and b) identify the major predictors of finalperformance in this course. A one-way ANOVA analysis indicated no statistically significantdifferences in final course score between the control and the treatment groups. The analysis of aproposed path analysis model showed that self-efficacy, perceived engagement and perceiveddifficulty are significant predictors of students’ final performance in
-warningsystem to allow faculty to notify students who may be at risk of failing a particular course19.Also, data have been used to understand differences across students in online learning strategiesto allow course designers to build a more personalized experience for different subgroups oflearners20,21. With an increase in the number of available data sources, colleges and universitieshave a great opportunity to explore how data can shape, enhance, and direct learning at all levels.Despite the need to investigate multiple categories of data from different areas of studentlearning, learning analtyics projects have relied heavily on learning management systems tocapture student learning processes. For example, Macfadyen and Dawson (2012)22 did a
Mathematics, and a BS degree in Mechanical Engineering. He is also a Registered Mechanical Engineer in California, and a Designated Engineering Representative (DER) for the FAA. He resides in California with his wife and three children. c American Society for Engineering Education, 2016 Scaling-up a MOOC at a state university in a cost-effective mannerAbstractEducation in the world is changing rapidly. Online course offerings are increasing at anexponential rate as universities attempt to meet the needs of a diverse global community oflearners. Amidst this potpourri of online courses, massive open online courses (MOOCs) areemerging as an alternative way to educate a multifarious group of learners worldwide
Computer Engineering. c American Society for Engineering Education, 2020 Lessons Learned Using Slack in Engineering Education: An Innovation Based Learning ApproachAbstractIn Fall 2019, we taught a Cardiovascular Engineering course using a blended approach: a mixbetween online instruction and face-to-face environment. This course is an interdisciplinaryInnovation Based Learning (IBL) class that combines both undergraduate, graduate students,face-to-face and distance education students from different institutions. To foster studentcollaboration, we decided to use Slack for both instructor-to-student and student-to-studentcommunication. This paper explores the impact of Slack on the
/) andMicrosoft SharePoint (office.microsoft.com/en-us/microsoft-sharepoint-workspace-2010-FX101825648.aspx) can be used for sharing documents and asynchronous messaging. Morerecently, engineering faculty have experimented with courses that involve multi-institutions andinclude groups of students from different sites and locations10. These multi-institutional projectsallow students to learn new types of communication skills and, more importantly, software toolsthat support the sharing of information. Students enrolled in these courses must learn how to usevarious online tools to build teams, exchange information, and work on projects together11.While there are many examples of online tools and management software to support studentprojects, there are
modules, links,and assignments carried internet-based components. The self-directed learning modulesimplemented in the capstone senior design course required students to reach the ASME’swebsite to read online material.4,5 Some universities and programs developed virtuallearning environments to deliver the online resources to their students, which will in thelong run help the students to develop self learning skills. 6 The components ofinformation technology have been widely used in engineering education.7 As thetechnological advancements are used as an active component of lifelong learning, theconcept of lifelong learning transformed from being taking some courses after graduationto a learning concept that encompasses the entire career. 8The
focuses on a qualitative analysis of articles in the engineering educationliterature drawn from The Journal of Engineering Education spanning the past 10 years. Fourbroad criteria guided the selection and analyses of the articles: (1) Content: What major types of content for cyberlearning environments are being created focused particularly on engineering education? For example, the NSF identifies various categories of content for cyberlearning environments such as interactive online courses, intelligent tutors, virtual and remote laboratories, and serious games. (2) Pedagogy: How are these cyberlearning environments being incorporated in the classroom to promote learning? For example, several educators have reported
. Specifically, the participating teachers learned Scratchprogramming through our online course named “Introduction to Scratch.” The online courseconsists of four units. Each unit furtherconsists of four video tutorials. In each videotutorial, PowerPoint slides, programmingdemonstrations, and exercises together withsolutions are offered to the teachers. Theonline course was delivered using GoogleCourse Builder, which is a free software.Figure 3 shows a snapshot of one of thevideo tutorials. Figure 3: A snapshot of our online course.In Phase 3, middle school and high school teachers applied Scratch programming in their classes.After completing the online course in Phase 2, each teacher was expected to
the course instructor, eachaddressing a specific detail in using a single concept such as loops (Fig.1). For each program, thestudents were given a few minutes to write down their responses, with the course instructor andteaching assistants walking around the class and helping those who were struggling with theproblem. Figure 1. Example of a "programming without computer" problem. Students were required to write down the output of this program as an in-class exercise in less than 5 minutes.The same approach was also incorporated in short quizzes in the beginning of each session. Foreach quiz, a free game-based online learning platform (http://kahoot.com) was used to displaythree multiple-choice questions on the screen for all students
engineeringundergraduates and some secondary science education majors. Traditionally these three courseshave a combined enrollment of approximately 100 students. During the last offering, theeducation students constituted 4% of the enrollment.As stated in the course syllabus: the overall goal of the course is for the student to learn thefundamentals of structured computer programming, the design process, and creative thinking. Inorder to accomplish this goal students create autonomous robots with LEGO bricks and acomputer program called ROBOLAB. By the end of this course students should be able to: writeROBOLAB programs that contain structures, variables, and multi-tasking; explain the designprocess in their own words; and describe several creative thinking
department of computer science at University of Illinois at Urbana-Champaign (UIUC). His interests include (but are not limited to) joyful teaching, empirically-sound educational research, campus and online courses, computer science, engag- ing underrepresented students, improving accessibility and creating novel methods to create, adapt and enhance learning opportunities and learning communities.Mr. Yuren Xie, University of Illinois at Urbana-Champaign I am a senior Computer Science and Statistics and Mathematics student studying at the University of Illinois at Urbana-Champaign. I really appreciate that I can live in a world where science and technology have been being used to make the world better, and it is my honor
microcontrol concepts and programmable logic controllers (PLCs). Both microcontrollers and PLCsare used throughout industry to control machinery and processes.To develop a course syllabus, the course director investigated a number of textbooks on thesetwo topics and selected two of them: one based on the Atmel microcontroller and the other PLCs. Page 14.528.17≠ Fundamentals of Programmable Logic Controllers, Sensors, and Communications, J. Stenerson, 3rd edition, Pearson/Prentice Hall, 2004.≠ Atmel AVR Primer: Programming and Interfacing, S.F. Barrett and D. J. Pack, Morgan & Claypool Publishers, 2008.A course syllabus and outline was
, and fellow classmates while inclass, and (c) submit the completed in-class problems in the next class. The steps (a), (b) and (c)would then be repeated for the next class.The first class of the spring 2016 semester involved a discussion of the course syllabus andexpectations. The pre-class videos/readings, pre-class online assignment and in-class problemsfor the second class were on standard dimensions and units, dimensional homogeneity andgeneral/restricted homogeneous equations. Neither the first nor the second class activities wererelated to stresses in fluids.The VR trial spanned the pre-class and in-class activities for the third class of the semester; pre-class activities involved watching two videos, reading textbook sections and