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Embedding Android signal processing apps in a high school math class — An RET project

Published on Oct 1, 2014
· DOI :10.1109/FIE.2014.7044266
Mahesh K. Banavar12
Estimated H-index: 12
(ASU: Arizona State University),
Deepta Rajan4
Estimated H-index: 4
(ASU: Arizona State University)
+ 4 AuthorsAndreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
Abstract
The objective of this project is to develop and design mobile content for introducing engineering technology to high school students. More specifically, we intend to work on a sequence of modules that will establish connections between high school mathematics and physics to modern technologies associated with smart phones, iPods and other high-tech products. The participants of the project will use the previously developed AJDSP (for Android devices) and iJDSP (for iPhones and iPads) apps to facilitate this process. Additionally, modules have been developed that have been embedded in math classes. Anticipated benefits of the project include creating positive attitudes towards STEM areas that will help recruit high school students and minorities in engineering, math and science fields. After an initial pilot study and assessments at CDS High School, these activities will be disseminated to other high schools. In order to obtain feedback from high school students and teachers, we will hold workshops and collect assessment results. These results will also provide us assessments about the effectiveness of the project, and allow us to make modifications to the project as necessary. The project is part of TUES Phase 3 and I/UCRC RET activities.
  • References (13)
  • Citations (5)
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References13
Newest
Published on Oct 1, 2013
Deepta Rajan4
Estimated H-index: 4
(ASU: Arizona State University),
Andreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
+ 2 AuthorsPhotini Spanias3
Estimated H-index: 3
(ASU: Arizona State University)
The recent sensing capabilities of mobile devices along with their interactivity and popularity in the student community can be used to create a unique learning environment in engineering education. Android Java-DSP (AJDSP) is a mobile educational application that interfaces with sensors and enables simulation and visualization of signal processing concepts. In this paper, we present the work done towards building non-invasive physiological signal monitoring tools in AJDSP through hardware inter...
11 Citations Source Cite
Published on Aug 1, 2013
Deepta Rajan4
Estimated H-index: 4
(ASU: Arizona State University),
Girish Kalyanasundaram1
Estimated H-index: 1
(ASU: Arizona State University)
+ 2 AuthorsAndreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
By exploiting the interactivity and processing power of mobile technologies, an immersive learning experience can be created. iJDSP and AJDSP are mobile graphical programming applications for simulation and visualization of signal processing concepts, developed to complement instruction to students from the STEM fields. In this paper, the enhanced sensing capabilities of modern mobile devices have been explored by developing DSP tools that allow interfaces to on-board and external sensors. An im...
3 Citations Source Cite
Published on Oct 1, 2012
Suhas Ranganath7
Estimated H-index: 7
(ASU: Arizona State University),
Jayaraman J. Thiagarajan10
Estimated H-index: 10
(ASU: Arizona State University)
+ 3 AuthorsAndreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
In this paper, we present a graphical-programming application to support signal processing education on the Android operating system. This application features a simulation environment and a palette of DSP functions, which will allow students to perform laboratories using Android smartphones and tablets. In order to demonstrate the application of the software in a classroom setting, a number of laboratories which incorporate the proposed functionalities have been developed. A set of assessments ...
7 Citations Source Cite
Published on Mar 1, 2012 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Jinru Liu3
Estimated H-index: 3
(ASU: Arizona State University),
Shuang Hu5
Estimated H-index: 5
(ASU: Arizona State University)
+ 4 AuthorsAndreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
The use of mobile devices and tablets in engineering education has been gaining lot of interest, due to its interactive capabilities and its ability to stimulate student interest. On the other hand, this technology can also enable instructors to broaden the scope of their curriculum and increase student participation. In this paper, we describe an interactive application to perform signal processing simulations on iOS devices such as the iPhone and the iPad. Furthermore, we describe two laborato...
20 Citations Source Cite
Published on Oct 1, 2011
Jinru Liu3
Estimated H-index: 3
(ASU: Arizona State University),
Andreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
+ 4 AuthorsXue Zhang6
Estimated H-index: 6
(ASU: Arizona State University)
Handheld devices are increasingly finding more applications in STEM education. In this paper, we present the design of an interactive signal processing simulation software operating on both the iPhone OS (iOS) and Android platforms. This object-oriented application is called i-JDSP and is conceptually based on the award-winning Java-DSP (J-DSP) simulation environment. The i-JDSP app offers a user-friendly visual programming interface and provides users with a compelling multi-touch programming e...
7 Citations Source Cite
Published on Jan 1, 2011
Jinru Liu3
Estimated H-index: 3
(ASU: Arizona State University),
Jayaraman J. Thiagarajan10
Estimated H-index: 10
(ASU: Arizona State University)
+ 3 AuthorsMahesh K. Banavar12
Estimated H-index: 12
(ASU: Arizona State University)
11 Citations
Published on Sep 1, 2010in IEEE Communications Magazine 9.27
Nicholas D. LaneMicrosoft38
Estimated H-index: 38
(Dartmouth College),
Emiliano Miluzzo21
Estimated H-index: 21
(Dartmouth College)
+ 3 AuthorsAndrew Campbellyx64
Estimated H-index: 64
(Dartmouth College)
Mobile phones or smartphones are rapidly becoming the central computer and communication device in people's lives. Application delivery channels such as the Apple AppStore are transforming mobile phones into App Phones, capable of downloading a myriad of applications in an instant. Importantly, today's smartphones are programmable and come with a growing set of cheap powerful embedded sensors, such as an accelerometer, digital compass, gyroscope, GPS, microphone, and camera, which are enabling t...
1,451 Citations Source Cite
Published on May 1, 2009in IEEE Transactions on Education 1.60
Homin Kwon7
Estimated H-index: 7
(ASU: Arizona State University),
Visar Berisha11
Estimated H-index: 11
(ASU: Arizona State University)
+ 1 AuthorsAndreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
Distributed wireless sensor networks (WSNs) are being proposed for various applications including defense, security, and smart stages. The introduction of hardware wireless sensors in a signal processing education setting can serve as a paradigm for data acquisition, collaborative signal processing, or simply as a platform for obtaining, processing, and analyzing real-life real-time data. In this paper, a software interface that enables the Java-digital signal processing (J-DSP) visual programmi...
15 Citations Source Cite
Published on Nov 1, 2005in IEEE Transactions on Education 1.60
Andreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University),
Venkatraman Atti9
Estimated H-index: 9
(ASU: Arizona State University)
An interactive Web-based simulation tool called Java-DSP (J-DSP) for use in digital signal processing (DSP)-related electrical engineering courses is described. J-DSP is an object-oriented simulation environment that enables students and distance learners to perform online signal processing simulations, visualize Web-based interactive demos, and perform computer laboratories from remote locations. J-DSP is accompanied by a series of hands-on laboratory exercises that complement classroom and tex...
72 Citations Source Cite
Published on May 31, 2005in Journal of Computer Assisted Learning 1.86
Jeremy Roschelle33
Estimated H-index: 33
(SRI: SRI International),
Mike Sharples41
Estimated H-index: 41
(University of Birmingham),
Tak-Wai Chan26
Estimated H-index: 26
(NCU: National Central University)
35 Citations Source Cite
Cited By5
Newest
Published on Oct 1, 2016
Andreas Spanias1
Estimated H-index: 1
(Clarkson University),
Mahesh K. Banavar12
Estimated H-index: 12
(Clarkson University)
+ 2 AuthorsYongpeng Zhang (PV: Prairie View A&M University)
Traditional STEM education models in electrical engineering and computer science rely on structured classes, laboratories, and textbooks to transfer key concepts. Even though this process meets most of the ABET objectives, it does not respond well to current workforce needs that require widely accessible programs that will provide a large pool of graduates with STEM backgrounds, analytical and programming skills, critical thinking, and leadership abilities. In this work in progress paper, we des...
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Published on May 1, 2016
Ivan Kastelan8
Estimated H-index: 8
(University of Novi Sad Faculty of Technical Sciences),
Miodrag Temerinac6
Estimated H-index: 6
(University of Novi Sad Faculty of Technical Sciences)
Tremendous progress in semiconductor technology enabled broad proliferation of computer-based solutions in almost all fields, from medical instrumentation up to spacecraft technology. This development opened the question about a new engineering profile being able to act in research and development of embedded systems. In this paper a contribution to the structuring of undergraduate embedded engineering education is given. The curriculum is largely based on the results of the FP7 project “Embedde...
1 Citations Source Cite
Published on Jan 1, 2016
Ivan Kastelan8
Estimated H-index: 8
(University of Novi Sad),
Nikola Teslic12
Estimated H-index: 12
,
Miodrag Temerinac6
Estimated H-index: 6
(University of Novi Sad)
Tremendous progress in semiconductor technology enabled broad proliferation of computer-based solutions in almost all fields, from medical instrumentation up to spacecraft technology. This development opened the question about a new engineering profile being able to act in research and development of embedded systems. Critical parts of this curriculum are the learning platform, embedded software education, methodologies and tools in education, evaluation procedure, recognition of profile potenti...
1 Citations Source Cite
Published on Oct 1, 2015
Andreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University),
Paul Curtis2
Estimated H-index: 2
(ASU: Arizona State University)
+ 1 AuthorsMahesh K. Banavar12
Estimated H-index: 12
(Clarkson University)
Signal processing algorithms, software, and hardware are being used in several fields including non-engineering areas such as arts and media. Students in these fields and particularly in the new Digital Culture major at Arizona State University (ASU) use signal processing tools in several of their projects and artistic endeavors. Yet the blind use of these DSP tools in other disciplines, without understanding their properties has been a long-standing problem. In fact, the broader issue is the di...
2 Citations Source Cite
Published on Aug 1, 2015
Andreas Spanias25
Estimated H-index: 25
(ASU: Arizona State University)
Signal processing algorithms and DSP chips are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. Applications of digital signal processing (DSP) in engineering include electrical, mechanical, chemical, industrial and biomedical systems. Applications in other areas include entertainment, financial, health, computing, manufacturing, to name a few. At ASU we developed an elective course for an undergraduate program called Digital Culture that inclu...
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