Aggie Research Programs

Texas A&M University

Spring 2020 – Aggie Teachers: Analyzing Pre-Service Teachers’ Perceptions and Experiences

Project Leader: Karen McIntush
kgm91@tamu.edu
Teaching, Learning & Culture
Faculty Mentor:
Dr. Andy Kwok, Ph.D.
Meeting Times:
Thursdays 1:30-3pm (A 1 hour meeting time will be established during this timeframe based upon member needs.)
Team Size:
 4
Open Spots: 2
Special Opportunities:
  • Team members will have the chance to earn co-authorship on a paper(s) and/or presentation; possibly attend regional conference(s), gain experience with research and data analysis, support with academic writing, interact with faculty and other graduate student teams, and earn research credit (291 or 491).
  • Students who successfully complete the fall project work will be invited to reapply for following semesters.
Team Needs:
  • Participants must be accountable and self-motivated with a strong work ethic.
  • Participants should understand the value and necessity of detailed and accurate work as it contributes to the analysis of coding survey data.
  • Student researchers should have a strong work ethic, a research interest, be intrinsically motivated, and the ability to make reasoned decisions. All of these will contribute to a successful experience.
  • Weekly meetings will occur on Mondays at 3:00pm.
  • Participants need skills to meet virtually when face-to-face is not possible
  • No research experience required. Training will be provided as needed.
  • Interested students should email their resume and Fall schedule to the contact person.
  • In-person or virtual interviews are required.
Description:
Students participating in this project will learn qualitative and quantitative research skills. The research team will be working with data collected through surveys from current and past students in the educator preparation program at Texas A&M. Graduate students and a faculty member in the Department of Teaching, Learning and Culture will guide and direct this project. Student researchers will code data from the survey responses. Students will use Microsoft Excel, Google Sheets and word processing applications. Other graphic programs, like LucidCharts, may also be used. Students may also be asked to obtain scholarly articles pertinent to the data. Student researchers will have the opportunity to write up the findings from the data, participate in local and state conferences, and potentially write for publication.