Revolutionizing Learning Assessment in the Age of AI: Insights from Papageno's Workshop
On January 8, 2026, a significant FD training workshop themed "Reconstructing Learning Assessment Methods in the AI Era" was conducted by Papageno, led by Yasumasa Tanaka, the CEO. This event was held at the International University of Health and Welfare Narita Campus and catered to around 30 nursing faculty members.
The rapid integration of generative AI in education poses new challenges. Students are increasingly using AI tools for tasks like report writing. This shift has rendered traditional assessment methods, focused on rote memorization and reproduction of knowledge, inadequate for truly measuring students' learning outcomes. As a result, there are growing calls within the nursing education community to revise these evaluation methods significantly. The workshop aimed to address this issue, fostering discussions among educators about suitable assessment strategies in the AI context and preparing specific improvement proposals for upcoming syllabus revisions.
The program unfolded over a 90-minute session consisting of lectures and group work:
Part 1: Opening (10 minutes)
The workshop began with a presentation that highlighted the challenges nursing educators face in assessing students in the age of AI, based on pre-training surveys.
Part 2: Lecture - The Nature of Assessment in an AI World (30 minutes)
A lecture illuminated the pivotal shifts in educational assessment amid AI proliferation. Key topics included redefining essential skills for assessment (such as knowledge application, critical thinking, metacognition, and problem-solving in real-world scenarios), principles of evaluation design focusing on process orientation, individualization, authenticity, and multi-faceted assessment. Practical methods of task design, considering collaborative efforts with AI, were also introduced.
Part 3: Group Work - Redesigning Assessment Methods (40 minutes)
Participants divided into mixed-specialty groups to discuss various aspects of assessment methods within their subjects. The dialogue focused on developing evaluation strategies that are less susceptible to AI influence and also effectively gauge true academic and clinical competences.
Part 4: Collective Sharing and Q&A (10 minutes)
Each group shared their findings and offered feedback on various case studies presented during the workshop.
One attendee remarked, "This workshop allowed us to reflect on our true mission as nursing educators - to cultivate professionals who can actively utilize their specialized nursing knowledge."
Another participant noted, "With AI becoming commonplace, the question of how to assess students was a pressing issue. This workshop served as a great opportunity to brainstorm ideas about revising syllabi and lesson plans, and I appreciated the collaborative discussions."
Following the workshop, the Narita Nursing School plans to revise its assessment methods in the next syllabus and organize a second round of training. Based on recent successes in nursing education training, Papageno aims to expand its offerings of AI-themed training in medical, welfare, and educational fields. Through initiatives like the "AI Welfare Hackathon" and the development of the AI support app, Papageno is committed to fostering an environment where professionals in interpersonal support can leverage AI effectively.
Even in the age of AI, the expertise of professionals like nurses and social workers remains paramount. The company is dedicated to exploring new support and educational methods that blend technology with humanity's strengths in collaboration with educational institutions and welfare providers.
Yasumasa Tanaka (CEO of Papageno)
Following his research on media and suicide at the Graduate School of Health Innovation at Kanagawa Prefectural University of Health and Welfare, Tanaka established Papageno in 2022. His mission is to implement "Recovery in Society" through various initiatives, including operating the employment continuation support B-type facility "Papageno Work & Recovery" and developing the AI support app "AI支援さん". He has extensive experience in promoting DX and AI usage in the welfare sector, as well as significant collaborations with government entities and organizations.
Papageno Inc. strives to create a society where everyone can feel that living was worthwhile. Through its business activities, it aims for the "implementation of recovery in society" by operating the B-type facility "Papageno Work & Recovery," which supports people with mental and developmental disorders, and developing the DX application "AI支援さん."
Background of the Workshop
The rapid integration of generative AI in education poses new challenges. Students are increasingly using AI tools for tasks like report writing. This shift has rendered traditional assessment methods, focused on rote memorization and reproduction of knowledge, inadequate for truly measuring students' learning outcomes. As a result, there are growing calls within the nursing education community to revise these evaluation methods significantly. The workshop aimed to address this issue, fostering discussions among educators about suitable assessment strategies in the AI context and preparing specific improvement proposals for upcoming syllabus revisions.
Workshop Program Overview
The program unfolded over a 90-minute session consisting of lectures and group work:
Part 1: Opening (10 minutes)
The workshop began with a presentation that highlighted the challenges nursing educators face in assessing students in the age of AI, based on pre-training surveys.
Part 2: Lecture - The Nature of Assessment in an AI World (30 minutes)
A lecture illuminated the pivotal shifts in educational assessment amid AI proliferation. Key topics included redefining essential skills for assessment (such as knowledge application, critical thinking, metacognition, and problem-solving in real-world scenarios), principles of evaluation design focusing on process orientation, individualization, authenticity, and multi-faceted assessment. Practical methods of task design, considering collaborative efforts with AI, were also introduced.
Part 3: Group Work - Redesigning Assessment Methods (40 minutes)
Participants divided into mixed-specialty groups to discuss various aspects of assessment methods within their subjects. The dialogue focused on developing evaluation strategies that are less susceptible to AI influence and also effectively gauge true academic and clinical competences.
Part 4: Collective Sharing and Q&A (10 minutes)
Each group shared their findings and offered feedback on various case studies presented during the workshop.
Workshop Details
- - Date and Time: January 8, 2026, from 14:40 to 16:10
- - Venue: International University of Health and Welfare Narita Campus
- - Target Audience: Approximately 30 faculty members from the Narita Nursing School
- - Theme: Reconstructing Learning Assessment Methods in the AI Era
- - Instructor: Yasumasa Tanaka, CEO of Papageno
Feedback from Participants
One attendee remarked, "This workshop allowed us to reflect on our true mission as nursing educators - to cultivate professionals who can actively utilize their specialized nursing knowledge."
Another participant noted, "With AI becoming commonplace, the question of how to assess students was a pressing issue. This workshop served as a great opportunity to brainstorm ideas about revising syllabi and lesson plans, and I appreciated the collaborative discussions."
Future Prospects
Following the workshop, the Narita Nursing School plans to revise its assessment methods in the next syllabus and organize a second round of training. Based on recent successes in nursing education training, Papageno aims to expand its offerings of AI-themed training in medical, welfare, and educational fields. Through initiatives like the "AI Welfare Hackathon" and the development of the AI support app, Papageno is committed to fostering an environment where professionals in interpersonal support can leverage AI effectively.
Even in the age of AI, the expertise of professionals like nurses and social workers remains paramount. The company is dedicated to exploring new support and educational methods that blend technology with humanity's strengths in collaboration with educational institutions and welfare providers.
Instructor Profile
Yasumasa Tanaka (CEO of Papageno)
Following his research on media and suicide at the Graduate School of Health Innovation at Kanagawa Prefectural University of Health and Welfare, Tanaka established Papageno in 2022. His mission is to implement "Recovery in Society" through various initiatives, including operating the employment continuation support B-type facility "Papageno Work & Recovery" and developing the AI support app "AI支援さん". He has extensive experience in promoting DX and AI usage in the welfare sector, as well as significant collaborations with government entities and organizations.
- - X: Yasumasa Tanaka on X
- - note: Yasumasa Tanaka on note
- - Book: "New Forms of Support for People with Disabilities Changed by Generative AI - Social Work 4.0"
About Papageno Inc.
Papageno Inc. strives to create a society where everyone can feel that living was worthwhile. Through its business activities, it aims for the "implementation of recovery in society" by operating the B-type facility "Papageno Work & Recovery," which supports people with mental and developmental disorders, and developing the DX application "AI支援さん."
- - Company Name: Papageno Inc.
- - Location: 1-13-1 Kamikokubo, Suginami-ku, Tokyo, 2nd Floor, Route Kamikokubo Building, Room A
- - Representative: CEO Yasumasa Tanaka
- - Business Description: Operating "Papageno Work & Recovery" B-type facility and developing AI support app, as well as providing DX support for enterprises.
- - Official Website: Papageno Official Site
- - Official YouTube: Papageno YouTube Channel
- - Papageno AI Welfare Research Institute: AI Welfare Research Institute
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