Even as mobile devices have become increasingly powerful and popular among learners
and instructors alike, research involving their comprehensive integration into educational …

The global higher education sector has been greatly affected by the COVID-19 pandemic,
and the mode of delivery has transformed into a blended learning mode of delivery or fully …

This work in progress paper describes software that enables online machine learning
experiments in an undergraduate DSP course. This software operates in HTML5 and …

An Android-based eModule app has been designed and developed for science, technology,
engineering, and mathematics (STEM) education. The eModule consists of:(1) an Android …

This paper describes the use of a space usage determination algorithm for teaching signal
processing and machine learning concepts to undergraduate electrical engineering and …

Arizona State University (ASU) established an NSF Research Experiences for
Undergraduates (REU) site to embed students in research projects related to integrated …

We present a DSP simulation environment that will enable students to perform laboratory
exercises using Android mobile devices and tablets. Due to the pervasive nature of the …

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 …

This project aims to contribute to education research using mobile apps to demonstrate how
signals and systems concepts are used in sensor network localization. An educational …

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 …