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WORKSHOPS

Workshops will be held on Wednesday, October 22. 
 
Please check back for additional information!
 
Session 1 - 2-5 PM
 
1A Your Data Deserve Better than Pies and Bars: An R Graphics Workshop for the Timid
The workshop is designed for engineering educators interested in communicating quantitative data visually. The goal is to increase one's graphical repertoire by adopting design principles and practices of the data visualization community. 
Conventional displays (pie charts, bar graphs, and tables) are often ineffective for discovering and telling the stories in one's data. The "dot plot" is an effective alternative. Workshop participants learn to create dot plots and to explain their rationale. 
We'll actively use R and RStudio: open-source software for Windows, MacOS, or UNIX. No prior experience required---this workshop is for R beginners. Participants are invited to bring sample data from their own prior work, especially data they displayed in a pie chart, bar graph, or table. Student-tested tutorials are provided. 
On completing the workshop, participants should be able to describe the limitations of conventional graphs, cite principles underlying effective graphical communication, and use R to create dot plots.
 
1B Evaluability Assessment for Engineering Educators
Evaluability assessment is used to determine the readiness of programs for outcome evaluation. For engineering educators, obtaining meaningful outcomes for educational programs can be demanding and illusive. This workshop has critical importance for engineers as the expectation for real educational impact continues to increase.
In this workshop participants will learn the essential elements of evaluability assessment, the strengths and benefits of this approach, and how to immediately apply the strategy to important programs of interest and properly prepare them for outcome assessment. This includes programs preparing for accreditation as well as innovative educational projects funded externally. Key elements of evaluability assessment include the development of a program theory and logic model, obtaining feedback on the model from key stakeholders, and using the evaluability assessment to improve the program and make recommendations for outcome assessment. Case examples from actual engineering programs will be used to illustrate key features of evaluability assessment.
 
1C Training Student in Responsibility for Their Own Learning: True Student Centered Learning
Faculty often speak of students not taking responsibility: not reading assignments, missing homework, or not participating in lab assignments and still expect a good grade!  Simply put, more and more students are not taking responsibility for their own learning. But I don’t believe that the reason is because students don’t want to do so.  My question is “So, what are we (faculty) going to do about it?”  Usually the answer I get is “It’s their responsibility, they are in college!”  However, doing nothing does not produce change.
 
This workshop is about doing something different—providing faculty with proven tools that instill student responsibility for their own learning.  The workshop will focus on pragmatic and effective methods that create a clear and common understanding of what is meant by student responsibility for learning.  It will clarify both effective and ineffective behaviors of both students and faculty, and how to instill these skills. Specific active and experiential lessons will be presented in a highly animated format.
In our implementation of these methods, we have found benefits to both students (e.g., increased student engagement/learning and more effective teamwork) and faculty (e.g., increased coverage of material and a dramatic decrease in student complaints).
This workshop is for anyone who believes “I know students can do better, I just don’t know how to make it happen.”  Or for those who simply want to dramatically reduce student complaints or excuses in a positive way.
 
1D Using Community Engagement to Teach Engineering and Computing
Community engagement (service learning) is a way to equip tomorrow's leaders in engineering and computing while addressing needs within our communities today.  It is a growing pedagogy globally that is well-matched with calls for strong technical skills along with a broad set of professional and cultural skills that are beings demanded by industry and accreditation bodies.  It provides the kind of curricular efficiency to meet these broad set of attributes without adding times to graduation.  Community engagement has been used in many countries to provide service to their communities and enhance learning.  This workshop will guide faculty through an introduction to the pedagogy and engage them in active discussions about how engagement is perceived and exists within different countries' cultures.  Resources, partnerships and potential barriers will be discussed to provide strategies for successful implementation.  Successful models will be presented and discussed including the EPICS model from Purdue University.
 
 
Session 2 - 6-9 PM
 
2A Developing and Evaluating Active Learning Classroom Experiences with Tablet PCs and Slate Devices
In this hands-on tutorial faculty will receive an introduction to the use of Classroom Presenter, OneNote, Interactive Classroom, VText, VectorPad, LectureTools, and PDF Annotator. We will provide sufficient instruction for faculty to have a basic competency with the technology. Most importantly, we will show faculty various pedagogical practices that we have found helpful in using these technology tools in the classroom over the past seven years. Active learning exercises for various disciplines will be emphasized. Faculty will be tasked with developing short active learning exercises starting from the development of goals for the exercise, through the desired student interaction, and ending with the exercise assessment and improvement strategy. These active learning exercises will be targeted to students who are expected to be in the classroom as well as those who may be taking the course at extended campus locations. Exercises will be determined by the individual faculty member’s disciplinary interests.
 
2B Qualifying Qualitative Research Quality (The Q3 Project): An interactive discourse around research quality in interpretive approaches to engineering education research
This workshop is part of a project funded by the National Science Foundation (CAREER #1150668) to build capacity and social capital around the issue of research quality in qualitative or interpretive approaches to engineering education research (Qualifying Qualitative Research Quality - The Q3 Project).
The workshop will introduce participants to a theoretical framework for ensuring quality in interpretive research that was recently published in the Journal of Engineering Education (Walther, Sochacka, & Kellam, 2013). The framework will be offered as a lens and language for participants to actively explore conceptions and practices around qualitative research quality in the context of their own research projects.
The interactive session will: (i) provide participants with a foundational and at the same time practice-based understanding of issues related to research quality in interpretive engineering education inquiries and, (ii) foster an active and sustained discourse within the research community around this important issue.
 
2C Using and Disseminating a Taxonomy for Engineering Education Research
Engineering education research is a broad-based, rapidly-evolving, diverse, interdisciplinary, and international field. There is a clear need for a standardized terminology and organizational system – a set of keywords – to map the field and communicate research initiatives. Such a taxonomy could provide multiple benefits, including: better connections between research and researchers; more accessible research results; recognition for and identification of emerging research areas; a way to describe the diversity of engineering education research areas; and a common terminology with which researchers could frame their efforts. This workshop will allow attendees to use the taxonomy and assist in planning for its wide dissemination. Anyone interested is invited to attend - workshop fees will be covered through an NSF grant, so there is no charge to participate.
 
2D Simulink for Project-Based Learning using LEGO MINDSTORMS NXT
To address the growing need in curriculum and research for low-cost, easy to use hardware and software environments, Simulink now includes the capability to program low-cost hardware such as Arduino, Raspberry Pi, LEGO MINDSTORMS NXT, and other platforms.
The purpose of this workshop is to demonstrate how using Simulink to program low-cost hardware can enhance courses in signal processing, computer vision, communications, data acquisition, instrument control, embedded systems, and more, by easily going from theory to practice.
This workshop uses LEGO MINDSTORMS NXT as the target platform. Participants will develop and test robot control algorithms that access and use standard NXT sensors and actuators, and automatically generate code to program the robot. They will also gain hands-on experience with Simulink as a complete, industry standard environment for modeling, analysis, simulation, and embedded code generation.
 
2D (Continued) MATLAB & Simulink with Raspberry Pi - A hands- on workshop on hardware support
The workshop aims to address the growing need in curriculum and research for low-cost, easy to use hardware and software environments. Based upon on the widely used MATLAB & Simulink, the session describes the built-in support for prototyping, testing, and running Simulink models on Raspberry Pi.
Simulink includes the capability to program low-cost hardware such as Arduino, Raspberry Pi, LEGO MINDSTORMS NXT, and other platforms. This hands-on workshop is designed to be an introduction to Simulink’s hardware support capabilities. This session will allow participants to develop, simulate, and test custom algorithms and implement the code on an embedded system from within the Simulink environment.
Lab modules will include examples of video and image processing algorithms, from very simple video in/out handling to a more sophisticated processing such as object recognition and edge detection. The workshop will provide practical hands-on experience and by extension offer attendees an understanding of the potential for use in the classroom, research, and student projects.