Archives for January 2020

Promoting STEM to Middle School Girls through Coding and Fashion

Barbara L. Stewart

Professor, Human Development and Consumer Science
University of Houston
bstewart@uh.edu

Carole Goodson

Professor, Technology
University of Houston
cgoodson@uh.edu

Susan L. Miertschin

Associate Professor, Teaching, Computer Information Systems
University of Houston
smiertsch@uh.edu

Susan L. Schroeder

Lecturer, Program Manager
University of Houston
SSchroeder@uh.edu

Misha Chakraborty

Adjunct Professor
University of Houston
Prairie View A&M University

Marcella Norwood

Associate Professor, Program Coordinator, Global Retailing M. S.
University of Houston

Abstract—Informal education approaches such as science camps have been used to promote interest in STEM fields for pre- college students. This paper presents the evaluation of outcomes of a computing outreach initiative targeting middle school aged girls from populations currently underrepresented in STEM. A fashion and retail themed code camp was offered free of charge through a grant from the Texas Workforce Commission and was assessed to be highly successful with respect to student and parent satisfaction. Assessment for changes in attitudes toward STEM and coding also showed positive changes. Read the full article here “Promoting STEM to Middle School Girls through Coding and Fashion”

Innovative VR-Based Research to Develop Intuitive Human Computer Interaction

Magesh, Chandramouli Computer

Graphics Technology
Purdue University Northwest,
Hammond, USA
magesh@pnw.edu

Abstract— This paper explains the design of a prototype desktop and augmented Virtual Reality (VR) framework as a medium to deliver instructional materials to the students in an introductory computer animation course. To be of use to other instructors or researchers interested in implementing a similar framework like this, the paper provides information on the hardware, software, and the concept inventory components of this framework. This framework was developed as part of a Teaching Innovation Grant at a Midwestern University to propose some cost-effective and innovative instructional frameworks to engage and stimulate students. This paper is an extended version of the paper presented at the CoED division of the ASEE conference and it presents VR modules and assessments with some modified techniques to the earlier version presented at the annual conference. This paper also shows the relevance of the methods used in the context of other STEM curriculum in addition to graphics and modeling courses. Read the full article here “Innovative VR-Based Research to Develop Intuitive Human Computer Interaction”

A Pattern Recognition Framework for Embedded Systems

Frank Vahid

Tony Givargis

Roman Lysecky

Abstract— Embedded systems often implement behavior for common application domains, such as the control systems domain or the signal processing domain. An increasingly common domain is pattern recognition, such as determining which kind of fruit is passing on a conveyor belt. Embedded system students and designers typically are not experts in such domains and could benefit from simpler platforms to help them gain insight into the problem of pattern recognition and help them develop such algorithms rapidly. Generic frameworks, such as PID (proportional- integral-derivative) for control, or FIR (finite impulse response) for signal filtering, empower non-expert embedded system designers to quickly build robust systems in those domains. We introduce a generic pattern recognition framework, useful for education as well as for various real systems. The framework divides the task into three phases: feature extraction, classification, and actuation (FCA). We provide template code (in C) that a student or designer can modify for their own specific application. Read the full article here “A Pattern Recognition Framework for Embedded Systems”

Project-Based Courses for B.Tech. Program of Robotics in Mechanical Engineering Technology

Zhou Zhang

Department of Mechanical Engineering Technology
New York City College of Technology, CUNY
Brooklyn, New York, USA zhzhang@citytech.cuny.edu

Andy S. Zhang

Department of Mechanical Engineering Technology
New York City College of Technology, CUNY
Brooklyn, New York, USA azhang@citytech.cuny.edu

Mingshao Zhang

Department of Mechanical and Industrial Engineering
Southern Illinois University Edwardsville
Edwardsville, Illinois, USA mzhang@siue.edu

Sven Esche

Department of Mechanical Engineering
Stevens Institute of Technology Hoboken, New Jersey, USA sesche@stevens.edu

Abstract— Robotics program at many Colleges has continued to become more and more popular. However, the students of the Bachelor of Technology (B.Tech.) program of robotics in the Mechanical Engineering Technology (MET) are facing three difficulties: (1) Weak fundamental knowledge related electrical engineering (EE), computer science (CS) and information technology (IT); (2) Difficulty in understanding the advanced concepts and theories of robotics; (3) Limited robotics class hours. Therefore, devising a series of appropriate robotics classes for the MET program is desirable. Read the full article here “Project-Based Courses for B.Tech. Program of Robotics in Mechanical Engineering Technology”

Improving Student Success by Being Automatically Personal

Mark A. Palmer

Formerly IME Department
Kettering University
Currently Flushing, MI
MarkAPalmer@att.net

Abstract – This paper describes the development and use of “automatically-personal e-mail” routines allowing one to send interpretive e-mails to one’s class based on clicking a command in an Excel grade book. The macros are included in a template file which are available under the Attribution-NonCommercial-ShareAlike 4.0 International Creative Commons License. Nudges, in the form of light-touch directed-feedback have been shown to be effective in engaging students, but they are often time consuming for faculty. The author has found that he can send detailed performance updates to students automatically through macros in a well defined Excel Gradebook. This increases student engagement as they see it as a way of demonstrating caring. Using an Engineering Materials Course as an example, the author demonstrates the steps necessary to send 6 such nudges throughout an 11 week term. Sample commented coding and examples of the messages sent to students are provided as examples. Read the full article here “Improving Student Success by Being Automatically Personal”