The use of cell phones and tablets in education has been gaining interest, due to its interactive interfaces and mobility Mobile technology has enabled instructors to broaden the scope of their curriculum and increase student participation. In this presentation, we describe an interactive application for signal processing simulations on iOS and Android devices We also describe two laboratory exercises to introduce FFTs, convolution and filter design. The exercises and the proposed app have been evaluated by students of an undergraduate DSP course.

Project No.
817596
PI Name
Andreas Spanias
Institution
ASU



Abstract 1

The use of cell phones and tablets in education has been gaining interest, due to its interactive interfaces and mobility Mobile technology has enabled instructors to broaden the scope of their curriculum and increase student participation. In this presentation, we describe an interactive application for signal processing simulations on iOS and Android devices We also describe two laboratory exercises to introduce FFTs, convolution and filter design. The exercises and the proposed app have been evaluated by students of an undergraduate DSP course.

Presentation Type
Poster
Team
Andreas Spanias (ASU), Linda Hinnov (JHU), Raja Ayyanar (ASU), Antonia Papandreou-Suppappola (ASU), Cajetan Akujuobi (PVAMU)


Need

The project is on technology develpment that provides laboratory experiences to distance learners. The projeect enables students to perform laboratories anywere/anytime n their mobile devices.

Goals

The goal is to provide a mobile environment for DSP education. Other goals are: to raise interest in signal processing and its applications, to use the tools for training and outreach.

Key activities are education software development and assessment of tools and associated instructor and student activities.

Approach

a) development of software for mobile devices.
b) development of assessment tools.
c) development of online exercises.

The software was designed by the faculty team and implemented by the student RA team. All the methods have been assessed and results have been reported at ASEE and FIE conferences.

Outcomes

The study has found that out that the easy accessibility and maneuverability of handheld devices led to an increase in student interest. By incorporating mobile technologies into mathematics and applied mathematics courses, it has been shown that smartphones can broaden the scope and effectiveness of technical education in classrooms.

Broader Impacts

Tools have been extended to other areas such as geology, earth systems science, and bioinformatics. Tools have also been used for outreach to high schools and for recruitment. For dissemination, we published in conferences and journals, estbliished web pages, made tools available on Google Play and iTunes. Students at ASU using the software in the DSP class have been impacted the most.

Unexpected Challenges

The design and transition of all Java education software from desktops to tablets and mobile phones. The mobile software won the Premier award in 2012.

Citations

B. Santucci and A. Spanias, Java-DSP Functions for Power Amplifier Linearization Techniques, ASEE Computers in Education Journal, Full paper, 2014. Winner of the Harden-Simons Prize Award 2014

S. Mehta, A. Spanias, J.J. Thiagarajan, M.K. Banavar, K.N. Ramamurthy, R. Santucci, C. Pattichis, P. Spanias, H. Krishnamoorthi, モAn Integrated Graphical Environment for Web-based Learning,ヤ ASEE Computers in Education Journal, vol. 5, no. 1, Full paper, January-March 2014.

A. Spanias and V. Atti, モInteractive On-line Undergraduate Laboratories Using J-DSP,ヤ IEEE Trans. on Education Special Issue on Web-based Instruction, vol. 48, no. 4, pp. 735-749, Nov. 2005.

Curtis, Paul ; Banavar, Mahesh K. ; Zhang, Xue ; Spanias, Andreas ; Weber, Vitor, Signals and systems demonstrations for undergraduates using Android-based localization, Frontiers in Education Conference (FIE), 2014 IEEE
DOI: 10.1109/FIE.2014.7044095 , 2014

G. Kalyanasundaram, M. Banavar, A. Spanias, 'Audio modeling and loudness estimation with IJDSP mobile simulations,' 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5550 - 5554, Brisbane, April 2015.



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