Teaching
Courses Taught
Florida State University
EME6356: Learning & Web Analytics - This course addresses the collection and use of data for decision making and assessment in learning and human performance contexts. Students will get hands-on experience with small data sets and will learn how big data sets are collected and used. The course will explore the role that analytics plays in education and related fields, identify the types of questions that might be answered via both quantitative and qualitative analytics, and engage in analytic- related problem solving. This course will examine case studies and provide students with practice using a variety of tools and services that can help them collect and analyze learning and web data. There are no pre-requisites, and although data will be used prior experience with statistics or research design is not necessary.
EME5601: Introduction to Instructional Systems - The goal of this course is for you to develop adequate knowledge of the systematic approach to instructional design, the contexts of application of this approach, and the roles of professionals in this field to be able to adapt and apply the process in a flexible and innovative manner, especially to large-scale projects.
EME6665: Synthesis, Analysis, and Argumentation in Instructional Systems Research - This course covers tools, techniques, and procedures for finding, synthesizing, analyzing, and summarizing research related to past and ongoing relevant topics in Instructional Systems.
EDG6362: Instructional Systems Research Seminar - This course aims to heighten students’ awareness of the critical issues in instructional systems. It will examine how research methodologies have been used to study these issues, will explore how research programs and theories are progressively honed, and will help students begin to define programmatic areas of disciplined inquiry.
EDF5442: Inquiry and Measurement for Practitioners - This is a foundational course that addresses inquiry and measurement concepts at a level appropriate for Master’s students. Through this course you will learn concepts and acquire skills that will help you make data-based decisions related to learning and human performance.
EDF5492: Applied Research Methods in Learning Design & Performance Technology - This course is a survey of applied research methods commonly used to support problem-solving in learning design and performance technology contexts.
EME6357: Evaluation of Training & Instruction in Human Performance Technology - This course focuses on the evaluation of training and instruction through a systemic analysis of the organization sponsoring the training program. The course also provides the knowledge and skills for conducting an HPT-based evaluation of training systems. Students actively participate in discussions, presentations, synthesis of materials, and the writing of papers.
Michigan State University
CEP416: Teaching & Learning with Technology - Course topics include design thinking, universal design for learning, media & information literacy, professional learning networks, computational thinking, and play-based learning. Students develop plans for integrating technology in classroom. The semester-long project is to design a professional online portfolio.
CEP813: Electronic Assessment for Teaching & Learning - Course topics include foundational theories of assessment, formative assessment, feedback, and a critical examination of methods for assessment (e.g., portfolios, rubrics, surveys, tests, self-evaluations). Students develop an assessment design checklist to use in their own professional practice. The semester-long project is to plan a formative assessment design to implement in their own context.
CEP817: Learning Technology by Design - Course topics include design thinking, the design process (empathize, define, ideate, prototype, test), designing for learners, iterative design. and collaboration in design. Students discuss examples of good and bad designs from everyday life. The semester-long project is to work through one cycle of the design process to address a problem of practice from the student’s professional context.
CEP820: Teaching Students Online - Course topics include foundations for online learning, course management systems, various models of online course design, instructor-student communication, assessment, universal design for learning, and online classroom management. Students playfully explore Google Apps, course management systems, screencasting tools, and file management systems. The semester-long project is to design a curriculum for an online course module consisting of 3-5 interconnected lessons, which may include training sessions or non-traditional courses.
Teaching Philosophy
My teaching philosophy is shaped by two primary principles. These principles are related to networked learning, a self-directed and social approach to learning. My first role as an educator is to affirm and strengthen students’ agency. I invite them to co-create their learning experiences, help them self-reflect, and guide them toward asking better questions. Second, I strive to model, and invite students to practice, the principles of open science. By this, I mean that students learn “out in the open,” sharing both their processes and products to create opportunities for feedback.
I teach toward these principles through several strategies. First, I create a structured plan for my teaching, giving careful thought to overall course organization and flow. I weave a common thread through the course. That is, I offer variety in specific learning tasks but maintain consistency across modules to reduce cognitive load. Second, I assign students meaningful work. That is, I encourage students to connect assignments to real problems they face. For graduate students, this means applying course concepts to tackle thorny problems in their professional context; for undergraduates, this means anticipating their future work. At the start of each semester, I tell students that if they cannot figure out how an assignment will be useful to their professional context and practice, we will work together to adapt the assignment so that it will. Third, I emphasize formative assessment by giving feedback that is timely, thorough, incisive, and kind. I give feedback through various modalities, including video chats, emails, screencast recordings, and comments in documents. In addition to my instructor feedback, I facilitate multidirectional feedback in the form of self-reflection and peer review. Third, building on formative assessments, nearly all the assignments I give are iterative in nature. I design courses around a semester-long project, with regular assignments that help students progress incrementally toward their final product. I emphasize that this process is not linear, but cyclical and responsive to feedback. Students complete work, but then revisit and improve. Fourth, I invite students to practice social scholarship (see my 2019 work with Greenhow and Gleason, published in British Journal of Educational Technology) by tweeting questions and posting work publicly on a blog.
As a specific example, in a Master’s course called Learning Technology by Design, students develop a problem-of-practice project (i.e., their semester-long task) rooted in their own professional context. Students learn the theory and applications of design thinking by moving their problem-of-practice through one full cycle of a design process, which I draw from the Stanford d.school model: understand the audience, define the problem, ideate (i.e., brainstorm and incubate ideas), prototype, test, and iterate. At each stage, I give substantial, formative feedback through text comments on work documents. In addition, I assign students to “design teams,” where they reflect with teammates on course materials, ask questions, pitch their in-process problem-of-practice progress, and give peer feedback regularly through frequent, brief, asynchronous video posts on Flipgrid. Completed assignments take the form of typed documents, handwritten notes, sketches, and video—all of which are compiled into a design report at the end of the semester.
Student Feedback
I cannot tell you how much I appreciate how helpful and understanding you have been all semester. Your approach to teaching is heartwarming and gives me hope for higher education. I’m not sure if you plan on going into a faculty position somewhere after your PhD, but if you do, your students will be very rewarded by your style and knowledge. It is not always a guarantee to have a great instructor, but when you do, you remember their name and refer back to the work you did with them because the learning experience was memorable.
I believe our instructor, Bret, was one of the most supportive instructors I have ever had. He helped me really grasp formative assessments, a concept I wasn’t really familiar with, and provided me with extensive feedback. With Bret’s guidance, I felt like I was constantly improving.
Even though this was an online course, Bret was the best professor that I have had at MSU thus far. His class was extremely organized and easy to follow, he was very quick to respond to emails or any questions that I have. He returned grades quickly and always took time to give meaningful feedback for weekly assignments. He even commented on our discussion posts! I was so impressed with this course and this professor.
Bret was amazing and I am so happy to have had him as my instructor. This is my first semester of grad school and to know that my instructor was so cool, it gives me hope that my other instructors will be just as cool throughout my program. Bret, thank you for everything that you’ve done for me throughout the semester. I appreciate it all of your feedback that you gave and I am happy that you pushed me to go beyond my limit.
Bret was always understanding, easy to contact, fast to reply and concerned about student’s performance. I was really impressed with the way he reached out and communicated with me, I was able to ‘know’ my teacher without having to physically meet them. I think that would be really hard for me to do otherwise through an online class but Bret did a great job of that.
I primarily worked with Bret. He communicated so effectively. He provided clear constructive feedback, was always available when I had questions. He helped me learn based on where I was personally, and not assuming I would be an expert on design. I really felt like I came full circle with a lot of realizations about how this course content can be applied to my real life work.
I absolutely loved this course and the professors. This was probably my favorite course in the MAET program. It was wonderfully taught with design thinking in mind which lent itself well to the content being taught. I learn so much in this course. This course completely impacted my classroom teaching. I will be continuing on the project that I started in this course to hopefully make a lasting impact in my classroom. I could not say enough good things about this course. Fantastic setup, wonderful instruction, great feedback, all wonderful!
I did my MBA online with a few face-to-face classes. Looking through it all, this is the first online course that I really enjoyed. It was online, but hands on and engaging. The students were free to wander and experiment with topics. The tone was interesting and respectful. This is a practice I intend to emulate going forward with teaching online.
This was such a super useful course! I’m not sure how it could be done, but I think it should be either required, or somehow strongly recommended or marketed to other students. Or at least recommended to students with no previous formal teacher training. I can’t believe I almost didn’t take this course! That would have been a disaster…