; ) & ∗ ∗ + , & − . // ! . /// 0 + & ∋ &1 ( 2 3 ∋ &1 ( ( , 3 &1 ( ( &1 ( 3 . + & ∋ & ∋ &1 ( 3 3 4 ∋ 3 3 & ! ! &1 ( 3
which the studentmatriculates or transfers. The director of the program and the CS Review Committee will selectall students admitted into the program.The major is open to incoming freshmen, transfer students with less than 36 Baylor credit hoursafter previous school credits have transferred, current Baylor students with less than 36 v credithours at time of application, or current students in good standing transferring from the BaylorUniversity Scholars Program. Acceptances are made on a rolling basis, and letters of admissionare sent in the month following receipt of a complete application.Criteria for AdmissionIn order of priority, the following are the five criteria for admission into Computer ScienceFellows: 1. Because of the great
for assessing chemistry teaching and learning in over 100two- and four-year institutions.1 The National Science Foundation funded this project for fiveyears (1995-2000) as part of two, linked consortium, “ChemLinks” and “ModularChem.” TheSALG instrument was modified to meet the needs of this course. This instrument uses the Likertscale where 1 was “very little” to 5 “the most.” Based on the students’ responses from 2007, theuse of Tablet PCs has improved the teaching/learning process close to above average (3.82 out of5.00) in the CS 360 “Object Oriented Analysis and Design” course.The SALG (Student Assessment of Learning Gains) instrument was used to collect compellingevidence and determine the effectiveness of the course.In a survey given
AC 2010-417: AN EVALUATION OF THE USE OF A COMMERCIAL GAMEENGINE FOR THE DEVELOPMENT OF EDUCATIONAL SOFTWAREHussain Alafaireet, Missouri University of Science and TechnologyJennifer Leopold, Missouri University of Science and Technology Page 15.148.1© American Society for Engineering Education, 2010 Page 15.148.2 ! ∀# !∃ % #! % &&!∋ % (∋) ∋ )!∗&% % (% #% ! #∋ % ! ∀%+ ,∀− % ∀!&% .#∋ .%, ∋ ( ..∋#!% /&∀ % 0+ ∀ (. % #! % %!. ∋ ( ∋ %− % #!∗) .%, &(! . ) %) )∀) %#! %− ∋!∗ 0, − #% ( ∋ %+ ) . ∋!% % ∋%! ∀ ∀∗ &∋% . % #!%) #! %− . %∀ !! ∀% (1
Using Inexpensive Hardware and Software Tools to Teach Software Defined Radio Abstract Signal processing topics such as software defined radio are more easily taught by using demonstra- tions and laboratory experiences that pique the students’ interest. This paper describes a new, inexpensive software defined radio educational platform based upon M ATLAB and the Texas Instruments C6713 dig- ital signal processing starter kit. We describe the various hardware and software issues and discuss how such a platform can be used in the classroom.1 INTRODUCTIONSoftware defined radio (SDR) is a topic that is becoming
curricula of web communication competency in order todevelop students’ knowledge of integrating information (Bereiter, 2002)1. The United Nation(U.N.) has promoted the Power Users of Technology project to transform web communicationcompetency into one of the key technology indicators for every country in the twenty-firstcentury (Dai, 2008) 4. This study specifically focused on using the triangular international academia-industrycollaboration model, which targets the academic field, industrial field, and internationalcertification field to analyze, compare, and evaluate Taiwanese university students’ performance,based on an international standard platform. In the academic field, university education should teach students not only basic
English asan example of learning activities. Podcasting shares multiple features and characteristics with mobile learning. Learningthrough podcasting is one of the newest methodologies for the next generation’s learning (Chen,2009) 1. “Podcast is comprised of either audio or video MP3/MP4 recordings that can bedownloaded directly to the desktop computer as well as to various mobile devices. It usessubscription feeds with Really Simple Syndication notification which automatically informs thesubscriber as and when new material is available” (Harris and Park, 2008) 7. Video or audiopodcasts can be a useful tool to supplement practical exercises such as business simulations (Lonn,2009) 11. There are some podcasting Web sites that deal with
needs 1-6. VLEs are used as supplements incourses or in the engineering curriculum as a whole to improve students’ understanding offundamental concepts, and increase student interest and performance.MatLab Marina, developed by the first author at Armstrong Atlantic State University(Armstrong) is a framework of virtual learning modules dedicated to the improvement of studentlearning of programming concepts using MATLAB. Currently the VLE consists of ten learningmodules with a total of 56 multimedia tutorials. Each learning module consists of a set ofmultimedia tutorials that present a balanced, dual approach to algorithm development andprogramming using MATLAB. A pilot study (Fall 2011 and Spring 2012) showed that thesetutorials have been used
and otherMatLab toolboxes students have used in previous courses and will use in the initial analyticaland numerical activities proposed in this study. Page 23.1396.4 Course Hardware:The MCU board proposed for this study is a Dragon 12 Plus 230 (Figure 1) runningCodeWarrior31 with a 16 bit, 24 MHz CPU, 256K Flash EEPROM, 12K RAM, serialcommunication, 10 bit A/D, timer channels, pulse width modulation (PWM), and discrete andinterrupt I/O. Input devices include eight dip switches, 4 momentary switches, [16 key] keypad,IR proximity sensor and photoresistor. Output devices include 2 16-digit LCDs, single-rowLEDs, 4-7 segment LEDs and a Piezo
-level class, with twenty-eight survey responses, highlights of the surveyinclude the following: Constrained-response: the questions asked in this category are shown in Table 1. A quarter of the students who responded indicated they did not watch any of the recorded videos at all, leading to an average of only 2.74 videos (out of the thirty available videos) watched by each student. One reason for their failure to do so could be that the instructor stopped sending out weekly reminders that the videos were available for them to watch after the third week of instruction. For those who did watch, about 55% of the students watched the lecture videos in their entirety, while the rest watched only part(s) of the videos. None
student learning. Preliminary results are presented. This work is ongoing.IntroductionA recent report on Challenges and Opportunities in Hydrologic Sciences by the NationalAcademy of Sciences states that the solution to the complex water-related challenges facingsociety today begins with education.1 The realization of the need to educate people about watersustainability is not new. At least as far back as 1974, there was a realization that water qualitywas difficult for people to describe.2 Around the same time, various indices of water quality weredeveloped to help quantify water quality in a way that could be more easily understood.3 Morerecently, Covitt, Gunckel and Anderson assessed students’ understanding of water quantity andquality
MATLAB user function file. Page 24.889.5Project GoalsSome goals of the project are: Goal 1: Students will gain some background in FEA applied to vibration problems. Goal 2: Students will gain some understanding of the relationship between the mode shapes calculated in an undamped modal analysis and the steady-state response when a lightly-damped structure is excited at or near one of its natural frequencies. Goal 3: Students will gain some understanding of the convergence of FEA results to those obtained from partial differential equation solutions for beams as the finite element mesh density is increased
benefits of MOOC data is that studentnetworks and discussion therein are digitally stored and readily available for datamining/statistical analysis. The proposed methodology employs robust natural languageprocessing techniques and data mining algorithms to quantify temporal changes in studentsentiments relating to course topics and instructor clarity. Researchers aim to determine whethertextual content (e.g., quality VS quantity of student forum discussions) expressed throughMOOCs can serve as leading indicators of student performance in MOOCs. A case studyinvolving the Introduction to Art: Concepts and Techniques offered by Penn State Universitythrough the Coursera platform, is used to validate the proposed methodology.1. IntroductionThe advent
and laboratory settings to teachvarious topics [1][3], including photovoltaic cells [2] and C-programming [8], demonstrating theversatility and robustness of this platform. This article describes how the Arduino board is beingused successfully at Rochester Institute of Technology, in the Electrical Engineering program(RIT-EE) to implement dc-motor control in laboratories related to control signals, feedback loops, Page 24.955.2and transfer functions. II. Hardware The Arduino Mega 2560 was selected as the Arduino board of choice, as it is among the morepowerful of the Arduino models yet still maintains a reasonable $50 price tag, and is one
PollEverywhere and its impact on engagement. Thepurpose of the present study is to address this gap in the literature.III. MethodsDuring the fall semester of 2013, a pilot study was conducted in an introductory computingcourse for non-computer science majors. The purpose of this study is to investigate the influenceof PollEverywhere on student attendance and engagement with the course material in anintroductory computer science large lecture classroom (n = 291).PollEverywhere was used on a weekly basis within the lecture portion of the course. Examples ofthe polling questions include: (a) “What was the first product you purchased online?”[Open-ended], (b) “What year was the first email sent?” [Multiple choice], (c) “On a scale of 1 to 5 –how am I
duringinitial field testing is quite positive indicating that it is an effective tool for integratedlearning of computing and STEM subjects.1 Introduction Page 24.1058.2Since it was first mandated in 2004, Algebra has been a requirement for graduation fromhigh school in the state of California.1 Without passing Algebra students are not able tomove onto higher mathematics classes which form the basis of a career within the STEMfields. A study by the California Dropout Research Project2 found that students within theLos Angeles Unified School District who passed Algebra 1 by their freshman year of highschool were twice as likely to graduate with rates of 70
classroom use.1 IntroductionDigital signal processing (DSP) is now considered one of the “must know” topics by most employers ofnew electrical and computer engineering (ECE) graduates. While DSP may be taught in various ways, it isgenerally agreed by engineering educators that a solid understanding of many fundamental DSP topics ismore fully realized when students are required to implement selected DSP algorithms in real-time (typicallyin C).1 While non-real-time (i.e., off-line) algorithm implementations with tools such as MATLAB orLabVIEW are easier to include in courses, and require more modest hardware and software, experiencehas shown there is significant benefit for students to including real-time DSP in the curriculum.The best approach
worksheets wereselected from noticeably challenging problems students encountered in the past. Before thestudents are given the worksheets, a tutorial is distributed to familiarize the students with theoverall structure of the worksheets. The tutorial explains the notation used throughout theworksheets, proper methods to input data, utilization of the hint buttons, and how to read thefeedback provided when checking their answers. A portion of the tutorial is shown in Figure 1.In this example, the problem statement has already been introduced, and the use of bold facedletters for vectors has been explained. Figure 1. Portion of the overview Maple tutorial worksheet.Level zero, shown in Figure 2, consists of relatively simple
Page 24.1088.3learning activities and make evidence-backed pedagogical decisions. However, a review ofliterature also suggests that social learning analytics has not been performed on onlineengineering communities supported by off-the-shelf online discussion forums software. Thisresearch therefore serves to uncover the basic elements of social structures in an onlineengineering community.Research Setting and Data CollectionThis study examines an open online engineering community, All About Circuits, that is cateredtowards learners of electrical engineering topics such as circuits, electronics, microprocessorsand programming (see Figure 1). This community is primarily supported by an online text-baseddiscussion forum that facilitates voluntary
provided. In the Page 24.1106.2“Similar” scenario, three similar practice problems were provided. In the “Related” scenario, 1three related practice problems were provided. In the “Mixed” scenario, the first problem had asimilar, the second a related, and the third no practice problem.The effectiveness of types of practice problems (Similar and Related) and the scenarios (None,Similar, Related, and Mixed) was evaluated using (1) student scores on problems, (2) surveyquestions completed by students after finishing each series of four questions, and (3) a surveyadministered to the students at the end
student undergraduate engineering team discussions.There were four specific research questions. 1. How does communication modality affect total student participation? 2. How does communication modality affect the distribution of student participation? 3. How does communication modality affect participation of women, specifically? 4. How does communication modality affect participation of non-native-speakers of English, specifically? Page 24.1154.4MethodSite, Participants, and Project ContextSite. The study was conducted in the College of Engineering at a large, Midwestern University.The particular program
,the course gets started with three one hour lectures, with examples, on the basics ofArduino programming. These three lectures can be broken down as follows:1.) Getting Started with Arduino - Outlines basics of Arduino hardware, software, and robotics programming2.) Arduino Programming Language - Details sketch structure, programming syntax notes, and pin functionality3.) Starting Arduino Examples - Demonstrates integrated analog and digital writing and reading examplesTeams of two are formed, which stay together for both the lab exercises and the project.These can be self-formed by the students or assigned as they would be in industry.Beginning week 2, each week of classes for the next 8 weeks consists of two one
strategies.Conceptual Framework and Literature ReviewLattuca and Stark (2009)4 developed The Academic Plan Model to illuminate the influences oncurricular design and ultimately students’ educational outcomes (see Figure 1). Intended toinform research and practice in higher education, the model builds on foundational works5,6,7 andincorporates a thorough consideration of factors influencing curricular activities at the course,program, and institutional levels. The model is heuristic in nature; rather than specifying auniversal set of factors that will operate in all postsecondary settings and circumstances, itprovides examples of potentially relevant factors to alert researchers to the kinds of influencesthat might be salient for the faculty and curriculum
, when we successfully adopted a CPLD in the labcomponent of our introductory logic circuits course, see [1] for details. Our main focus was thatthe laboratory work must retain a hands-on experience. This was made possible with the CPLDadapter module that we designed, which allows for the use of a breadboard. Our second focuswas that our students quickly learn to use the Computer-Aided Design (CAD) tools, which wasmade possible with the tutorial [2] that we authored.We are convinced that the lab component of such an introductory course must be tangible,demonstrating the connection between digital and analog concepts. We believe that students mustbe aware that logic signals are represented with physically measurable quantities. Our mainconcerns
understand the impact of hardware for real-time performance; 2.3 To analyze the scheduling feasibility of a set of independent tasks and derive schedules; 2.4 To understand resource policies and system services for inter tasks communication and synchronization; Figure 1. The course is designed 2.5 To understand the challenges and applications of based on three core components. performance analysis techniques; Page 24.1307.4 2.6 To understand real-time issues on
engineering context in lattercourses. The three principles deemed critical for successful programming in engineeringcontexts3,4 are 1. Student Engagement: Engaging students’ current knowledge to construct new knowledge 2. Knowledge Transfer: Students ability to transfer early programming skills to new contexts, applications and environments 3. Self-directed learning: Students assuming control of their learning in programming to adapt to the rapidly evolving demands of computational techniques in engineering Therefore, Systems and Controls courses are ideal to investigate effective ways to address allthree areas of the DBER study and simultaneously augment students’ ability to use programmingas a tool in upper-level
found MIT AppInventor to be very accessible and quickly learned how to develop their own apps. MIT AppInventor can allow students without any background in information technology to see computingconcepts in a context that is of great interest to them.INTRODUCTIONThe trend of declining student interest in computer-related fields [1-3], combined with increaseddemand from the industry, challenges instructors to come up with new methodologies to attractstudents. Furthermore, with the diffusion of information technologies into almost all disciplinesof study, introductory computer courses need to have new approaches that can motivate studentsfrom all majors to feel comfortable with the computing concepts and tools.Emergencies often occur with little
the response as well as to establish metrics used in assigning a grade. The qualitative feedback is aimed at helping student teams improve the quality of their solutions. The mathematical model dimension encompasses the assessment of (1) the quality of the Page 24.1338.5solution in terms of how well it addresses the complexity of the problem and accounts for all data provided, and (2) the use of rationales to support the solution method. The root of this dimension is assessing how good the procedure is at
-world problems which are best solved by teams ofrobots which are able to communicate, share resources and coordinate tasks. Applications, suchas search and rescue, exploration, mapping, reconnaissance, and remote data collection may allbenefit from robot teams or swarms, which rely on multi-robot communication technology. Forexample, researchers have proposed a robot swarm solution to effectively contain oil spills in theocean.1 The robots, equipped with skimmers, use GPS and radio communication technology tocoordinate operations. Once the spill is contained by the robot team, a ship can pump the oil intocontainers for removal and storage. In another research effort, the coordination of a ground robotand a micro aerial robot is leveraged in
heuristic evaluationare shown to provide a baseline of potential human factors issues related to user interaction withthe CareerWISE website and to suggest some preliminary design recommendations.MethodsParticipantsFive expert raters conducted a heuristic evaluation of the CareerWISE website. The raters wereall female graduate students with a background in human factors and previous experience withthe foundations of the heuristic evaluation methodology.Materials and ProcedureThe procedure for this study followed the guidelines and heuristics (shown in Table 1)established by Nielsen11,12 for evaluating user interfaces. When completing a heuristicevaluation, it’s important to have the raters carry out tasks that are most common for typicalusers to do