One byproduct of thiscreative opportunity, however, is the challenge faced by instructors in identifying practicalinsights and principles to apply when considering and/or developing videos.In this paper, we aim to achieve two objectives: (1) summarize the research surrounding onlineeducational videos, and (2) provide a list of seven recommendations for creating educationalvideos high in pedagogical value. We are writing this paper primarily for instructors andinstructional designers, so we focus both objectives on creating online videos that then exist inthe context of a wider educational endeavor (e.g., an online or blended course). In the firstsection, we address the issue of the best design model for educational videos. In the
engineers thatcan lead to cost reductions and expediting product development in extremely complexengineering environments. The present study, pioneered by a large US aerospace companyworking with educators at 5 major engineering schools in the US, engineering educationresearchers, and practicing engineers, is a first step towards achieving this overall vision. In thispaper, we characterize how engineering students enrolled in a senior capstone course interact andperform on complex engineering tasks commonly seen in the aerospace industry. We describeour instrumentation methodology and the data architecture for an associated analytics platform.We use course clickstreams, social networking and collaborations as the basis for ourobservations.1
partof the intervention evaluated in this study are presented in table 1. Table 1 Instructional Scaffolds and Associated Teamwork Processes (adapted from Marks et al.15) Process Scaffolds Process Process Definition (cognitive tasks, social interactions, Dimensions tools and artifacts) Mission
, simulation can enhance a student’s problem solving skills,”2 (p. 1).Within engineering education, there is a constant effort to prepare students to enter theprofessional world. With the adoption of the ABET EC2000 criteria and the a-k programoutcomes, professional skills have moved to the forefront of the engineering curricula3. Industryadvisory committee members across the curriculum suggested a real need for students to developand maintain skills important to their specialized field of study, but can be integrated withspecific business elements such as, word processing, professional writing, and budgetarymanagement. Scachitti also highlighted this multidisciplinary challenge stating, “whetherstudents find employment in manufacturing, healthcare or
performance on specific course items using nonparametric analysiswith conservative Bonferroni adjustment for multiple tests. Across all courses involving1,945 students, course grades improved by 0.28 points on a 0-4 point scale (p-value <0.001), or 1/4 letter grade, from static to interactive textbook. More importantly, studentsin the lower quartile of the course improved by 0.38 points (p-value < 0.001), or 1/3 lettergrade. Exam scores improved by 13.6% (p-value < 0.001) and project scores by 7.4% (p-value < 0.001) from static to interactive textbooks. 98% of the students subscribed to theinteractive textbook and completed at least some activities on the interactive textbook.The average student completed 87% of the assigned activities in
provide valid mouth-shape-movement comparisonand real-time visual feedback.Computer-Vision-Aided Lip-Movement Correction SystemWe hypothesized that by using computer-vision technology to show the difference of the mouth-shape movements of the user and the standard mouth-shape movements, learners could discernthe differences, and work to improve their pronunciation. To approve the hypothesis, a prototypesystem was developed to test different ways of training and evaluate the effectiveness of themethod. Figure 1: The main interface of the systemThe system (Fig. 1) keeps a repository of practice words and their pronunciation videos. Sincethis system is a prototype to evaluate the proposed pronunciation training method, we
opportunity tolearn compared in-class discussions. We present a summary of the survey results, along with thetheoretical underpinnings of the approach and some details of the prototype implementation. Wealso present our design for the next set of experiments with the CONSIDER tool.1 IntroductionThe type of conflicts of opinions and the ensuing argumentation seen in the broader public spherewould make it difficult for one to imagine that any type of conflict could ever be collaborative, letalone a driver of effective learning. But researchers in learning sciences have been studying whatAndriessen 1 calls collaborative argumentation, which “can help students learn to think criticallyand independently about important issues and contested values
discusses the outreach efforts and the utilization of IR cameras by 5th grade elementary school students and their classroom teachers after our departure and the wild en- thusiasm that this approach has generated. A comparison of the different IR systems is also made.1 IntroductionIt is well known that student enthusiasm leads to increased interest and learning. The authors haveleveraged student enthusiasm to enhance learning in DSP courses for many years.1–7 Lately, wehave been using infrared (IR) cameras in our Energy for Society course at Boise State University,in an attempt to increase student enthusiasm and motivation to learn the course material. TheEnergy for Society course has been offered for three years now.What is IR
reflection by calculating individual pre and post reflection inspection performanceand by taking class average for undergraduate and graduate students. The results show that postreflection, inspection understanding and performance increases for both undergraduate andgraduate students.2. BackgroundThis section describes the fault-checklist based inspection technique and its steps along withvarious other fault detection techniques that are used to detect and report faults.Inspection, as described by Fagan12, is a systematic technique to examine a software artifact indetail. Evidence showed the benefits of inspection on artifacts developed at different phases of Figure 1. Fault types in the fault checklist formsoftware
. Page 26.1773.2INTRODUCTIONThroughout history there have been many attempts to provide an incentive to graduate fromcollege as fast as possible in order to optimize the different resources available to students.1 Whencompared, some of these incentives have been more effective than others.2 Undergraduate studentstake longer than expected to graduate with a 4-year undergraduate degree.Specifically at The University of Texas at El Paso (UTEP) students take longer than the nationalaverage3 to graduate4. Some of the factors for this delay are: social setting (commuter campus),low-income student population, cohort is not as homogeneously defined as in a residential campus,and the lack of available data to the operator or the agents. In some cases the
course of short (1-2 week) timescales. A sub-question of the study is to see whether and how KB is affected by perceived accountabilitystructures. The evidence for addressing these questions comes from the KB discourse itself. Asub-goal of the work is to continue the development of tools needed to analyze KB discourse.Learning EnvironmentData was collected from a four-credit, semester-long undergraduate Strength of Materials coursetaught in the spring of 2014 with fifteen students enrolled at Smith College. The majority ofstudents were sophomores majoring in engineering science. All but one student had priorexperience with Knowledge Building from the pre-requisite course at our institution.Knowledge Forum itself is an online asynchronous
this case, the novelty of theapproach compared to traditional methods is twofold: (1) the use of a computer game enables usto directly observe problem-solving process through action in the game and (2) because of thenaturally immersive game environment, we hope to see motivation and persistence in the face ofcomplex problems that might otherwise be difficult to achieve in a laboratory setting. As afeasibility study, we will present methods and data that we suggest should guide further researchbut should not be used to make specific claims. Before describing this exploratory study, webriefly review relevant literature of problems and problem-solving.Background on Problem Solving LiteratureOne characterizing difference between problems faced in
Paper ID #14764Mobile Devices and Lifelong Learning: The Students’ PerspectiveProf. Susan L. Miertschin, University of Houston (CoT) Susan L. Miertschin, M.Ed., M.S.I.S., is an Associate Professor teaching in the Computer Information Systems program at University of Houston. Her teaching interests are in the areas of (1) information systems applications development and the complementary nature of back-end developer and front-end developer skill sets and (2) managing IT services. Her research interests are program and student as- sessment, the impact of instructional technology on student learning, and the improvement of e
across campus. Not only are expenses incurred inhardware costs but also in manpower hours setting up and tearing down computing labs, installingsoftware and maintaining images.In [1], the authors provide excellent survey of the opportunities of using Cloud Computing ineducational environment. We also believe that the problems identified above can be solved byintegrating a private cloud computing environment into James Madison University’s educationalresources. This challenge became the topic of a senior capstone project at James Madison Uni-versity. Two students and their advisor proposed to address these issues by utilizing VMwarevSphere [2] and Horizon View software [3] suites. Horizon View is a cloud computing solutionthat provides access to
Computing for Engineers course at a privateinstitution in the southeast14. The course teaches engineering students how to learn theprogramming language, and MATLAB in a blended learning mode17-24. Table 1 shows acomparison of current blended learning and SLA-aBLe development. There are four topics (datatype, input and output, conditional statement, and loop) which were designed in summer 2015and implemented following the SLA approach in fall 2015. More helpful pictures, cartoons,tables, interactive tiered questions, and MATLAB programming were included in the newlearning materials, which were recorded at a slower speed of narration according to SLA14. Thefont of the learning materials was changed from an easy to read font, Calibri, to a hard-to
the seminar are freely available.Flow Free Background Flow Free is a puzzle game that runs on Android/iOS platforms. The game board is composedof a grid and colored dots, and the user has to connect the same colored dots together withoutoverlapping other lines, and using up ALL the free spaces in the board. This problem (shown inFigure 1) is similar to classic puzzles that involve connecting similar dots.1, 2 The problem also has relevance in the field of integrated circuit design. One of the designchallenges of building integrated circuits is connecting the components together. Researchers arecontinuously trying to find ways to connect modern devices in a given space with wires. The lengthof the wire must be minimized to reduce power
American Society for Engineering Education, 2016 Work In Progress – Content Independent Classroom Gamification Chris Cain1, Anne Anderson2, and Matthew E. Taylor1 1 School of Electrical Engineering and Computer Science, Washington State University 2 School of Design and Construction, Washington State UniversityAbstract This paper introduces Topic-INdependent Gamification Learning Environment (TINGLE), aframework designed to increase student motivation and engagement in the classroom through theuse of a game played outside the classroom. A 131-person study was implemented in aconstruction management course. Game statistics and survey responses were recorded to estimatethe effect
to be accessible via a computer, tablet, or smartphone. The currentlyworking prototype was developed using HTML5 with Javascript. While the prototype wasdesigned for multiple platforms, it was primarily implemented and tested for iPads for the studyreported in this paper.Appendix A presents a series of screenshots from the working prototype on a tablet, whichillustrates the steps in one of the activities. In the beginning, the user is presented with a briefscenario or context for the activities (Fig. A-1). Immediately following, the user is presentedwith the initial screen that introduces the technical communication problem (Fig. A-2) and thenasked to (1) identify a problematic segment of a text (Fig. A-3), and (2) select an
finiteelement method. One could make the case that this is part of the natural evolution of any newtool (as one no longer needs to be a mechanic to drive a car). On the other hand, users absolutelyneed to know enough to understand the consequences of their own modeling choices (e.g. howboundary conditions are applied, element selection, meshes size, etc.). Thus, the proliferation ofFEA software in industry (1) necessitates treatment of these tools at the undergraduate level and(2) suggests a balance be struck between the software and theory in these courses.This paper details the authors’ experience with a first course in finite element analysis within anundergraduate only engineering curriculum. In particular, the struggle to find the best
aidin introducing the users to various Abaqus special components and commands. Each example isselected to demonstrate the utility of a particular feature of the software in accomplishing a new task,a task which was not required in the previous examples. Developed tutorials essentially provide thedetails related to performing the following listed activities using the order indicated. (1) Creating a part (2) Creating a material (3) Defining and assigning section properties (4) Assembling the model (5) Creating an analysis step (6) Requesting data output (7) Applying boundary conditions (8) Applying loads (9) Meshing the model (10) Creating an analysis job (11) Checking the model (l2) Running an analysis job (13) Post processing.Even
advanced VR technology to bridge the STEM skillgap is the VOTE (Virtual reality based Online Technology and Engineering) platform with the AVML(Advanced Virtual Manufacturing Lab, [5, 6]) as the first VR module for teaching students the principlesof CNC milling & turning and providing them with VR training on these advanced machines (Figure 1). Figure.1: (LEFT) AVML; (RIGHT) VPL (Virtual Physics Lab, another VR module)The AVML includes advanced multimedia lectures delivered using near-photorealistic intelligent virtualtutors and hands-on training on near-realistic virtual CNC milling machines and lathes. Software modulesused in the AVML include: an object-oriented scene-graph engine for displaying and navigating in 3Denvironments (this
mathematical constructs in the question? Ifmath literacy is poor, how can students be effectively taught engineering concepts or berationally evaluated?Unfortunately, many engineering students are not highly-skilled in math literacy[1, 2]. Perhaps,this is because this skill is in the overlap between English and mathematics[3] and, as a result, isnot addressed as fully as is could be. Whatever the reason, the weakness is evident in the resultsof the Programme for International Student Assessment (PISA) assessments. The tests, scored ona 1000-point scale, assess 15-year-old students’ abilities. They have been held every three yearssince 2000, with the latest being in 2012. The 2012 test included over 500,000 students in 65countries or economies[4]. As
the Learning Sciences and Technologies at Virginia Tech. He holds degrees in Engineering Mechanics (BS, MS) and in Educational Psychology (MAEd, PhD). c American Society for Engineering Education, 2016 Leveraging Historical Ties between Cognitive Science and Computer Science to Guide Programming EducationCoding for everyoneIn the past few years, there has been increasing interest in encouraging more people, regardless ofbackground, to learn to program. In fact, President Obama recently made a statement calling onall children to have the opportunity to learn about computer science.1 Sites such as code.orgpromote CS education opportunities for all, citing statistics about STEM jobs
-book system provides not only common functions, but also features speed reading,intensive reading, main concept reading and professional knowledge database ofterminologies of embedded system. In additions, it offers various multimedia annotations andassistance learning functions. All students’ reading activities can be recorded in back-endlearning portfolio database of the e-book system. The information stored in students’ learningportfolios allows them to monitor their own reading progress, achievements and issues. Inthis study, we attempted to test the feasibility of the e-book system as well as to explorestudents learning behavior during the e-book-assisted reading. The following researchquestions were addressed in this study: (1) Do
used the highlight and track changes function to mark the paperwhile narrating the changes being made orally. When the video was done, the instructoruploaded it to a special section of the course site, where each student could only see his or herown work. The videos were also completed within one week of the assignment being submitted,and remained on the student’s particular area of the course site for the entire semester. Figure 1 isa ‘screen grab’ of what the videos looked like, although for FERPA reasons, the document beingshown in Figure 1 is not actual student work. Page 26.279.5Figure 1: Screen Capture Sample of Tegrity Feedback Video
’ packedschedules it would risk compliance with local and state-mandated curriculum. Technology can be used tospeed up this interdisciplinary learning but it needs training of teachers to teach content in pedagogicallyappropriate ways, thereby requiring a close integration of technology, pedagogy, and content as shown inFig. 1. Recently, a theoretical framework, namely technological pedagogical content knowledge(TPACK), has been developed by Mishra & Koehler36 to address challenges of T, P, and C integration.Practicing teachers have been offered professional development (PD) to help them deploy appropriatetechnologies in the classroom, stay up-to-date with emerging technologies, and assess efficacies ofdifferent pedagogical approaches.10, 33 But, due
the maximum moment along a shaft is important to identifythe critical point of the shaft for the maximum stress. However, many students have troubledrawing these diagrams. This animated FBD is intended to help student understand the processby showing the progression from one end of the shaft to the other end.FBD in a gear trainIn an earlier paper5, the author has given several examples on how to determine the direction ofgear forces of different types of gears. In this paper, the focus is on the process of drawing FBDsin a gear train. In Figure 1, a double reduction gear train is shown with the direction of rotationlabelled. An animated GIF is created to show the steps to create the FBD of the input gear, idlerpair (gears 3 and 4), and output
workforce can expect to participate in virtual teamswhose members collaborate through a variety of powerful Information Technology (IT) tools.Lipnack and Stamps call virtual teams “the peopleware for the 21st century”(1, p. 2). In response toglobalization and the need to be flexible and competitive, industry increasingly relies on virtualteams to bring together resources and expertise that are geographically distributed(2). It isestimated that 30 million US workers were engaged in virtual teams in 2000(3); today the numberis even higher. A 2012 survey by the Society for Human Resource Management indicated that 46percent of organizations use virtual teams(4). This significant professional trend provided thecontext for experimenting with virtual
0 1 2 3 4 5 6 7 8 9 10 11 12 Time (h) Figure 1. The remaining energy level of a smartphone is plotted over time when either of BLE and WiFi interfaces is turned on for scanning purposes. In case of WiFi, there are several weaknesses of WiFi signals over BLE signals. First, WiFiconsumes energy more quickly than BLE due to its scanning mechanism. Fig. 1 shows how fastthe remaining energy of a smartphone decreases as it continuously collects the beacon frames ofaccess points (APs) to obtain their RSS values. WiFi scanning spends 1.5 times more energythan BLE scanning, and nearly 2
, policies, teaching methods, and learningobjectives across the courses to facilitate students’ computational competencies and technicalcontent knowledge across the targeted course sequence.The revisions to the MatSE undergraduate curriculum were guided by two curriculum and coursereform aims: (1) integrating computational materials modeling in sophomore and junior-levelcore courses and (2) developing a capstone senior materials modeling elective. The integrationof computational materials with technical content took place in MSE 201, MSE 206, MSE 304,and MSE 406, each of which has 100+ students enrolled each semester. Together, these coursesspan three broad areas of materials science: mechanics, thermodynamics, and electronicproperties. The