Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals

Source publication / research team or educational organization described in paper

UK, United Kingdom

Researchers, educators, instructors, or facilitators as described in the source publication

• Higher education
• Professional / adult learning

Course implementation or course design

Not specified in extracted text

ly be- came one of the platform’s highest-enrolling courses, attract- ing about 50 students per quarterly course run. To date, more than 200 students have completed the course, and more than 90 percent have rate; es, attract- ing about 50 students per quarterly course run. To date, more than 200 students have completed the course, and more than 90 percent have rated their experience ‘good’ or ‘excellent’. This paper repor; ts. This course launched in July 2023 and has been a success—to date, more than 200 students have completed the course, and more than 90 percent have rated their experience ‘good’ or ‘excellent’. The central idea

Assessment / tutoring analytics

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

Higher education, Adult / workforce

Mixed or not explicitly specified; infer from target learner group and intervention design.

Varies by intervention; not specified unless the paper explicitly describes prerequisites.

• Document the AI education intervention, course, tool, or resource described in the source publication.
• Extract the learner context, AI role, pedagogy, outcomes, and constraints for AAB registry comparison.
• Human–Computer Interaction for AI Systems Design is an eight-week short online course aimed at professional stu- dents.

• Support AAB comparison across AI literacy, AI education, teacher training, higher education, and workforce contexts.
• Capture evidence maturity, transferability, and limitations rather than treating the publication as product endorsement.

• Not an AAB endorsement of the tool, curriculum, provider, or result.
• Not a direct replication record unless the source paper reports implementation details sufficient for replication.

Assessment / tutoring analytics

Not specified in extracted text

• Evaluator

• Primary interaction pattern inferred from publication: Curriculum / course design, Learning tool / resource design, Assessment support.
• AI capability focus: Assessment / tutoring analytics.

• Apply standard AAB safeguards: privacy, transparency, human oversight, and documentation of limitations.

• Review the publication’s reported context, learner group, AI tool or curriculum, implementation process, and outcome evidence.
• Map the case to AAB registry fields for comparison across educational levels and AI capability types.
• Use the source publication and PDF for any manual verification before public registry release.

• Human educators/researchers remain responsible for instructional design, supervision, interpretation, and ethical safeguards.
• AI systems or AI concepts provide the learning object, support tool, evaluator, simulator, or automation context depending on the paper.

• Instructional / curriculum-based learning
• Registry extraction emphasizes explicit learning goals, observed outcomes, constraints, and safety limitations.

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

• Case classified under: Published curriculum / implementation paper.
• Pedagogical pattern: Instructional / curriculum-based learning.
• Any additional adaptations should be verified against the full paper before public-facing publication.

• Engagement evidence should be interpreted according to the source paper’s reported method and sample.
• This course launched in July 2023 amidst a massive increase in interest in AI and its applications, and quickly be- came one of the platform’s highest-enrolling courses, attract- ing about 50 students per quarterly course run.

• This course launched in July 2023 amidst a massive increase in interest in AI and its applications, and quickly be- came one of the platform’s highest-enrolling courses, attract- ing about 50 students per quarterly course run.

Human–Computer Interaction for AI Systems Design is an eight-week short online course aimed at professional stu- dents. It is part of an online course platform called Cambridge Advance Online, which is a joint effort between Cambridge University Press & Assessment and the University of Cam- bridge.

• Apply standard AAB safeguards: privacy, transparency, human oversight, and documentation of limitations.

• Activity documentation

• Can be used as an AAB evidence record for cross-case comparison, standards drafting, and evidence-maturity mapping.
• Supports identification of recurring patterns in AI literacy, AI education implementation, teacher preparation, assessment, and responsible AI learning.

• Engagement / motivation
• Assessment / feedback quality
• Curriculum / course design
• Learning tool / resource design
• Assessment support
• Assessment / tutoring analytics

• Completed

Higher education, Adult / workforce

Higher education, Professional / adult learning

Assessment / tutoring analytics

Instructional / curriculum-based learning

Low to Medium

Medium

Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals

• Per Ola Kristensson
• Emily Patterson

Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39 No. 28, EAAI-25

2025

10.1609/aaai.v39i28.35173

https://ojs.aaai.org/index.php/AAAI/article/view/35173

https://ojs.aaai.org/index.php/AAAI/article/view/35173/37328

010_Human-Computer Interaction for AI Systems Design_ Reflections on an Online Course on Human-AI Interaction for Professionals.pdf

8

Human–Computer Interaction for AI Systems Design is an eight-week short online course aimed at professional stu- dents. It is part of an online course platform called Cambridge Advance Online, which is a joint effort between Cambridge University Press & Assessment and the University of Cam- bridge. This course launched in July 2023 amidst a massive increase in interest in AI and its applications, and quickly be- came one of the platform’s highest-enrolling courses, attract- ing about 50 students per quarterly course run. To date, more than 200 students have completed the course, and more than 90 percent have rated their experience ‘good’ or ‘excellent’. This paper reports on our experiences in designing and teach- ing this course.

• Higher education
• Professional / adult learning

• The paper provides limited implementation detail in the extracted abstract; additional manual review may be needed for local replication.

Not specified in extracted text unless noted in duration field.

Requires educators/researchers/facilitators with sufficient AI literacy and pedagogy knowledge for the target learners.

Infrastructure depends on AI tool type, learner devices, data access, and institutional policy context.

High

• duration

This entry was automatically extracted from the PDF text and manifest metadata. Fields should be manually verified before public registry publication, especially group size, location, duration, and outcome claims.