Download: Justin Olmanson CV

Multi-Agent Systems for Learning

Justin Olmanson’s research interests / work is focused on how AI, particularly generative AI, can be used to engage each human’s full communicative and sense-making repertoires within the learning process.

Specifically, via multi-agent systems, aiming to ensure that AI:

• harnesses human diversity;
• enables transformative learning;
• is applied across multiple scales; and
• is strategically employed across the taxonomy of scaffolding for learning.

Olmanson’s interests in collaborative technical development are wider, with a lab / skill set that includes: design-based research, server-side development, APIs, web application prototype development (python, JavaScript, full stack, SQL, MongoDB, Neo4j, Pinecone).

An associate professor of learning technologies at UNL, Olmanson leads the Innovative Learning Technologies program in the College of Education and Human Sciences. He is a member of the faculty senate and its Information Technology subcommittee, an advisory board member for UNL's Center for Transformative Teaching, and a member of the Center for Intelligent Health Care at UNMC, and in these roles, he leverages his experience in emerging digital technologies, learning and curriculum theory, design-based research, and strategic initiatives to support the University of Nebraska System, UNL, the college, and the department of Teaching, Learning, and Teacher Education. He founded the educational software and consulting company, B Street Systems, and co-founded the nano-bioscience company, B Street Biological Systems, serving as Chief Technology and Chief Experience Officer.

Olmanson designs and develops educational experiences that support students in engaging with new and challenging learning practices, including computational and mathematical problem solving, language and literacies development, as well as transdisciplinary knowledge construction. His work integrates technical innovation in AI with insights on curriculum, learning theory, and pedagogy. His research group actively investigates multi-agent systems applied to education and healthcare. As part of this mission, his group also develops frameworks for human-agent interaction in learning.

Olmanson’s research has been featured at venues such as AERA, NORA, EdTechX, CALL, and ACM's SigDoc. He has co-designed and developed CipherLand, Distributed Biography, FunWritr, InfoWriter, Chinese Character Helper, iPLA Alex-TA, Advising Helper, Giuseppe Creative Coding Bot, and Blood Antigen Tutor. He completed postdoctoral and graduate work at the University of Illinois Urbana Champaign (postdoc), the University of Texas Austin (PhD), Harvard University (MEd), and the University of Houston (MEd).

Prospective Collaborators, Graduate Students, and Funding

Olmanson's lab welcomes collaborators both within and beyond UNL. Inspired by the LevelsIO approach, many of the lab’s initiatives are realized via rapid, self-contained development. In the evolving field of AI and learning technologies, prioritizing agility and efficiency is advantageous for exploratory prototyping. By completing demos and betas in-house within the time it typically takes to write and secure a grant, the lab stays current and independent. As a result, financial support for graduate student collaborators is less common and is prioritized for ILT PhD students with strong web application design, software development, LLM, API, and machine learning expertise.

Courses

TEAC 259: Technology Integration in K-12 Classrooms and Speech Language Pathology Clinical Settings

• Designed as a heterogeneous learning experience (readings, discussion, projects, evaluation and reflection).

• Offered most semesters
   

TEAC 859: Designing Learning Experiences

• Designed as a heterogeneous learning experience (readings, discussion, final design project, and reflection).

• Offered Fall semesters
   

TEAC 880M: Technology Supported Assessment and Learning Analytics

• Designed as a heterogeneous learning experience (readings, discussion, final design project, and reflection).

• Offered odd Summer semesters
   

TEAC 882B: Advanced Web Design and Databases

• Designed as a heterogeneous learning experience (JavaScript, SQL, MongoDB, Neo4j, Pinecone, GitHub, VS Code, final design project).

• Offered even Spring semesters
   

TEAC 882D: Artificial Intelligence and APIs in the Design of Learning Experiences 

• Designed as a heterogeneous learning experience (Python, LLMs, APIs, PyTorch, GitHub, VS Code, final design project).

• Offered odd Spring semesters
   

TEAC 960: Doctoral Seminar: Education, Technology, and Change 

• Designed as a heterogeneous learning experience (readings, discussion, final project, and reflection).

• Offered even Fall semesters (last taught Spring 2020)
   

TEAC 995A: Doctoral Seminar: How to Be a PhD Student

• Designed as an acculturating learning experience (readings, discussion, faculty interactions, literature review, and reflection).

• Offered yearly, taught by Olmanson every 5 years
   

“I don’t think you can be a good innovator if you don’t know how to make the stuff you’re designing.” -Walter Isaacson 2023

Innovative Learning Technologies Programs

Certificates, Specializations, and Degrees: MA | EdD | PhD

Course Offerings and Frequency | Design Pathway | Classroom Technology Integration Pathway