2016 REU Students
(June 06 - August 14, 2016)
the best eight out of fourty nine applicants

Megan Rose Cleary

Jehremy Sung Cho Felig

Rosamaria Diaz

Matthew Eric D'Angelo

Elyse Danielle Hill

Carlos Z Pereyra

Mikayla Renee Bilskie

Tyler Reed Milliken
Students' Origin

Activities in a Glimpse
On a typical day, students were either reading articles, having a discussion, or working on their research. At the end of the week, students were required to fill weekly reflection and attend the debriefing session. Some exceptions are listed bellow. Additionally, each Research Team has their own schedule.
Jun 06
Students' Check In and First Meeting
Filling up paper works and have a glimpse of the REU activities and research projects.
Campus and Office Tour
Andreas and Michael (graduate mentors) were there to help you getting familar with USU Logan-campus and office area.
Jun 07
First Research Group Meeting
Meeting of the research group to make plan for the rest of the weeks.
Seminar: Self-Regulated Learning: What is it?
Attend Dr. Lawanto's (faculty mentor) presentation and ask a lot of questions.
Jun 08
Seminar: A Brief Introduction to Qualitative Methods
Attend Dr. Goodridge's (faculty mentor) presentation and ask a lot of questions.
Jun 09
Everything about Institutional Review Board (IRB)
Institutional Review Board (IRB) online training and certification.
Jun 14
Seminar: Curriculum and Research: Developing an Educational Research Question
Attend Dr. Fang's (faculty mentor) presentation and ask a lot of questions.
Jun 17
Seminar: Educational Data Analysis with SPSS
Attend Dr. Fang's (faculty mentor) presentation and ask a lot of questions.
Jun 21
Seminar: Responsible Research
Attend Ben Call's (Graduate Mentor) presentation and ask a lot of questions.
Jul 07
Formative Assessment
Formative assessment with Dr. Lubke and Michael (graduate mentor).
Aug 04
Research Group Presentation
Tell me everything: your research approaches/results; what you learned.
Aug 05
Summative Assessment
Summative assessment with Dr. Lubke and Michael (graduate mentor).
REU Journey Map Presentation and Farewell Dinner
It is time to say good bye!
Aug 14
Final Research Report
Send your final report (word format) by email to your faculty mentor.
Mentors and Staff

Andreas Febrian
Graduate Mentor

Gang (Michael) Liu, PhD
Graduate Mentor

Ben Call
Graduate Mentor

Sarah Bell
Graduate Mentor

Kay Rose
Senior Staff Assistant (Retired)
Research Projects

#1 - Experience of Undergraduate Student in Engineering Education Research
Undergraduate research has received growing attention in recent years due to its positive impact in STEM (science, technology, engineering, and mathematics) education, such as increasing students' understanding, confidence, awareness, and interest of STEM subjects. To foster and promote undergraduate research, the National Science Foundation of the U.S. has established a Research Experiences for Undergraduates (REU) program. The REU Site program aims to motivate and retain talented undergraduates in STEM careers, particularly careers in teaching and STEM education research. This research will provide REU students authentic experience conducting engineering education research and a deeper understanding of undergraduate student's perception about education research. Sixteen undergraduate students from various institutions participated in the study. The goal of this research is to understand how student's understanding about education research change and what factor(s) that may contribute to that change. Qualitative data were collected from numerous sources such as participating students' self-report weekly reflection, pre- & post- survey, and pre- & post- focus group interviews. The project will involve transcribing, coding, and analyzing the qualitative data.
Researcher
- Megan Rose Cleary (Keene State College)
- Jehremy Sung Cho Felig (Montana State University Billings)
- Andreas Febrian (Graduate Mentor)
- Oenardi Lawanto, PhD (Faculty Mentor)
Activities
- Reading background literature
- Video transcribing
- Thematic coding
- Coding categorization
- Presenting research process and results

#2 - Self-Regulated Learning of Computer Science Students While Engaged in Programming Design
In this modern age, computers and smart devices are pervasive. It has been used to improve the quality of, for example, telecommunication, transportation, medical, and security services. Consequently, employers expect the next generation of workers to have some basic knowledge in applying these technological advancement to solve their problems. In other words, they are expected to have some computer science (CS) skills. Being aware of the importance of CS skills in the future, the states of Florida, Chicago, Utah, and California decided to incorporate CS-base courses in their respective K-12 curriculum through what commonly known as computational thinking. On the other hand, research in education have shown that students with better self-regulated learning (SRL) skills will excel in academic learning and problem solving compared to their counterparts. However, little has been known about students' SRL in programming design, one of the core activities in CS. This study aims to bridge that gap by assessing and describing CS students' SRL while they engaged in programming tasks. A qualitative case study will be conducted to three-to-four CS students which will be recruited from the CS department at Utah State University using the criterion sampling method. The participants will be asked to spend 2.5 hours to answer two programming questions, which will be audio and video recorded. Framed in Butler and Cartier's SRL model, the attribute, process, in-vivo, and pattern coding approaches will be applied to the transcribed data. Each participant will receive $25 and a personalized SRL profile as tokens of appreciation. A member checking activity will be conducted at the end of the data analysis process to validate research findings.
Researcher
- Rosamaria Diaz (California State Polytechnic University, Pomona)
- Matthew Eric D'Angelo (UMass Lowell)
- Andreas Febrian (Graduate Mentor)
- Oenardi Lawanto, PhD (Faculty Mentor)
Activities
- Reading background literature
- Refining data collection instrument
- Collecting data
- Video transcribing
- Thematic coding
- Coding categorization
- Presenting research process and results

#3 - Effects of Students' Self-regulation on Their Conceptual Understanding in Engineering Dynamics
The study aims to determine if there exists a correlation between undergraduate engineering students' self-regulated learning (SRL) and conceptual change in Engineering Dynamics. The project applies a qualitative research method to investigate the conceptual understanding among student participants, and a quantitative statistic data analysis to describe the most common misconceptions and the interaction between factors influenced the holistic performance of participants. The qualitative data is collected through interview, questionnaires, observation, and transcription coding analysis. Participants took part in pre- and posttests developed to address the most common misconceptions among undergraduate engineering students. This project aims to determine the correlation that might exist between SRL and conceptual change, which benefits first and second year curricular development of engineering disciplines.
Researcher
- Elyse Danielle Hill (University of Maryland, Baltimore County)
- Carlos Z Pereyra (California State University, Sacramento)
- Gang (Michael) Liu, PhD (Graduate Mentor)
- Ning Fang, PhD (Faculty Mentor)
Activities
- Reading background literature
- Thematic coding
- Coding categorization
- Presenting research process and results

#4 - Introducing Entrepreneurial Education to an Engineering Technical Writing Course through Student Consultants
This study aims to discover a correlation between the introduction of the NERCM (Needs, Experience, Resources, Customers, Model) entrepreneurial instruction delivered to sophomore and junior engineering students during a technical writing course. Instruction was delivered by student consultants from the Entrepreneurship Club to engineering students as an enhancement to existing technical writing curriculum. This study is a mixed method study utilizing quantitative and qualitative research methods to investigate entrepreneurial intent, mindset, and creativity. Descriptive statistics will be used to describe the population and collected data, while analysis for correlation will be conducted with multiple linear regression in SPSS. Qualitative analysis will also be conducted on post interview questions delivered to participants to provide preliminary data on the interventions reception and effectiveness. The study hopes to discover links that may exist between entrepreneurial interventions and entrepreneurial intent through minimal curriculum enhancements.
Researcher
- Mikayla Renee Bilskie (University of Florida)
- Tyler Reed Milliken (University of Tennessee)
- Ben Call (Graduate Mentor)
- Sarah Bell (Graduate Mentor)
- Wade Goodridge, PhD (Faculty Mentor)
Activities
- Reading background literature
- Creativity assessment analysis
- Quantitative data analysis
- Statistical tests for significance
- Outlier analysis
- Video transcribing
- Presenting research process and results
Testimonies

Megan Rose Cleary (Keene State College)
"...it [the meeting with professors] really provided an in depth discussion to our research and I learned different ways to categorize, or code, my data. "
Jehremy Sung Cho Felig (Montana State University Billings)
We need an understanding of how students can build knowledge most effectively. How does prior knowledge affect learning? What tools can be implemented in the classroom to increase productivity and curiosity? Answers to such questions lies within this research.


Rosamaria Diaz (California State Polytechnic University, Pomona)
"..I enjoy facilitating verbal protocol. It is great to listen to participant talk aloud as they are solving problems because you get insight on what they are thinking and what their mental processes are. I like learning about how differently people approach problems, but also going back and finding similarities in their approaches."
Matthew Eric D'Angelo (UMass Lowell)
I learned that I get different benefits from different kinds of work. Working with my partner on code combining taught me how to concede when convinced and how to stick up for what I strongly believe. This was all about compromise and teamwork, and involved keeping our motivation and spirits up. Meeting with my advisor, who knows more, and the other REU student, who had very different research experiences, was about hearing a lot of perspectives, and asking questions, getting answers and making decision. Working alone taught me how to use flexibility in my task descriptions to put my own spin on my work and do it in a way I believe makes meaningful results.

Elyse Danielle Hill (University of Maryland, Baltimore County)
"...I learned about conceptual understanding, conceptual change, and the integration of those into SRL. As I read the [research] articles, I gained a greater understanding of the way I personally organize knowledge in my mind (which agrees mostly with the knowledge-in-pieces view). In addition, reading these articles has helped me to identify and give vocabulary to experiences I've had in school that I've never had words to express before."

Carlos Z Pereyra (California State University, Sacramento)
First [valuable experience is] traveling to a place I've never been to, visiting MOAB and the Grand Tetons, and learning about SRL. My interest in becoming a better professor than my own professors has driven me to see how to incorporate SRL into instruction in the future.


Mikayla Renee Bilskie (University of Florida)
One of the valuable experiences I had from this REU program was learning the process of research including grading surveys, collaborating with my research partner, analyzing data, and presenting the information. I also feel that the experience of learning how to use a statistical program for data analysis and how to interpret the statistical results in terms of the research project will benefit me in my professional career after college. My favorite experience was having the opportunity to meet seven people from different parts of the country and getting to bond with them outside of the research project. I had a lot of fun exploring Utah and the surrounding states with such a diverse and great group of people.
Tyler Reed Milliken (University of Tennessee)
"I learned that as an engineer, I can become too comfortable with quantitative data and focus too much on numbers. I see that it can fun to stretch your thinking, and I hope this REU continues to allow me to focus on qualitative data."
