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Program
Program
2025 Virtual Conference
December 10th & 11th
9am - 1pm Pacific Time/ 12pm - 4pm Eastern Time
The PsychTERMS conference will bring together instructors of research methods and statistics in psychology for a virtual two-day interactive event. This conference is for instructors who:
teach or are planning to teach research methods or statistics to undergraduate students.
are new or seasoned instructors of undergraduate research methods or statistics.
want to learn more about novel, inclusive, and inspirational ways of teaching research methods and statistics.
have well tested or evidence-based activities, assignments, or policies for effective teaching of research methods and statistics to share.
support students' critical thinking about research methods and statistics across the psychology curriculum, including in content courses.
Invited Speakers
Invited Speakers
Dr. Tricia Bertram Gallant
UC San Diego
The Opposite of Cheating: Teaching for Integrity in the Age of AI
Are Generative Artificial Intelligence (GenAI) tools a threat to academic integrity or an opportunity for us to evolve teaching, learning and assessment? The answer is both, of course! In this session, we’ll focus on understanding the threats and opportunities and then identifying the options that faculty have for minimizing the threat and amplifying the opportunities. In thinking about one thing we can do next week, next term and next year, participants will leave the session empowered to craft their GenAI and AI policy while creating a culture of integrity within their classes.
About the Speaker:
Dr. Bertram Gallant is an internationally known expert on integrity and ethics in education. She is the director of the Academic Integrity Office and the Triton Testing Center at UC San Diego. She has consulted with or presented at high schools, colleges, universities and professional associations throughout the U.S. and around the world. She is a prolific writer of journal articles, book chapters, and books. Her latest book is "The Opposite of Cheating: Teaching for Integrity in the Age of AI" (University of Oklahoma Press, 2025). Her previous books include "Academic Integrity in the Twenty-First Century" (Jossey-Bass, 2008), "Cheating in School" (Wiley-Blackwell, 2009), "Creating the Ethical Academy" (Routledge, 2011), and "Cheating Academic Integrity: Lessons Learned from 30 Years of Research" (Wiley, 2022).
Dr. Amanda Woodward
University of Minnesota
Large Classrooms, Statistics, and R (Oh My!): Strategies for Teaching Statistics Effectively in Large Undergraduate Courses
Introductory statistics courses are a critical part of the psychology undergraduate curriculum. They prepare students to both understand psychological research and to critically consumers of information. Introductory statistics courses offer opportunities for students to develop statistical literacy skills, research skills, and software experiences that can prepare students for a variety of careers. Despite the value of learning statistics, not all students are excited to take part in the class. In fact, some students may be anxious about taking the class and others may plan to engage minimally to trudge through a course requirement. This can lead students to disengage from the course at the outset or to withdraw when the material becomes more complicated. In this talk, I will discuss ways to engage students in a large introductory classroom and activities that keep students engaged while learning. These include ways to foster connection, methods of asking questions, and group work in class. I will also discuss student perceptions of the class and relationships to learning.
About the Speaker:
Dr. Woodward is an Assistant Teaching Professor at the University of Minnesota Twin Cities. She received her PhD from the University of Maryland in 2020. Her developmental research focuses on social inclusion and exclusion. In her current role, she teaches large undergraduate courses in statistics and advanced research methods, including courses on Open Science and R programming. Since she started, almost 3,000 students have taken one of her methods or statistics courses at the University of Minnesota. She also works with undergraduate students to conduct Scholarship of Teaching and Learning projects focusing on factors related to how students learn statistics. Her pedagogical research has been published in the Scholarship of Teaching and Learning and Psychology Learning & Teaching. Her work has also been featured in popular education blogs like E-xcellence and the Society for the Teaching of Psychology: “This is how I teach”. Outside of her teaching role, Amanda is an active member of the Society of Teaching Psychology and is working to promote Open Science resources with Project FORRT.
Schedule-at-a-glance
Schedule-at-a-glance
Sponsored by:
APA's all-digital courseware that immerses students and personalizes learning
—now available for Research Methods and Statistics courses.
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