Journal article · TSSCI
Development and validation of a learning-engagement scale for high-school AI courses
International Journal on Digital Learning Technology 16(2), 51–78, 2024
About
Hsuan-Ming Tseng
Science-education PhD. Teaching AI since 2019, and shipping AI products for real.
I study why people choose to learn and adopt new technology, then put that into courses, teacher communities, and products that actually ship.
- 2023
- PhD, Science Education
NCUE - 2019—
- Teaching AI since 2019
schools, universities, teachers, industry - 2+1
- journal papers (one TSSCI)
+ best-paper award - 4+
- shipped products
iOS / Android / Web
01 / Evidence
Three things you can check.
No testimonials. Only things you can open and verify.
Popular-science book
AI Made Simple (原來 AI 這麼簡單！)
Business Weekly Publications, April 2021, co-author. ISBN 9789865482350
Measured learning outcomes · NTU MeDA Lab AI-in-medicine camp · winter 2021
62.7186.90
pre-test meanpost-test mean
learning achievement, out of 100
N = 315 matched pairs | t = −33.5 | p < .001
Also rose significantly: motivation, cognitive, emotional and behavioural engagement, perceived usefulness
Note: N = 319 respondents, paired-samples t-test; single-camp pre/post design without a control group.
02 / What I do
Teach, research, build. Same person.
Teach
AI talks, teacher training, semester courses. From a school-wide first lesson on AI to coaching teachers through their own AI lesson plans.
Representative case：Taichung Girls' Senior High School elective on AI and data science, two semesters, formally commissioned by the school
Research
Why do students choose to learn AI? Building reliable scales that turn acceptance into something measurable and improvable.
Representative case：Doctoral thesis: an acceptance model for AI courses among high-school students
Build
One person plus three AIs, shipping Flutter apps, AI agents and websites, and putting generative AI to work in the hosiery industry.
Representative case：PEAKSTW (iOS + Android), SockMap knitting-pattern tool (ITRI)
03 / Where
Places I have taught.
High schools, universities, teacher communities, industry and foundations. Full track record and topics on the speaking page.
04 / Education
Degrees and professional training.
National Changhua University of Education, Graduate Institute of Science Education · PhD
Focus: AI in education. Thesis: an acceptance model for AI courses among high-school students
Soochow University, Department of Business Mathematics · BSc
Foundations in mathematical modelling, statistics and data analysis; minor in computer science.
Taiwan AI Academy, Taichung · Technical Leadership Program, 3rd cohort
Capstone project, a virtual try-on system, took first place in the cohort competition.
05 / Experience
Across research, teacher training, management and engineering.
DrNoGreasy Studio · Founder
AI products, curriculum development and teaching. Flutter apps, AI agents, web systems and industrial AI adoption.
Mind Hub Co., Ltd. · CTO
Technical lead for the MOEA SBIR project on generative-AI hosiery design; ITRI knowledge-base assistant (RAG).
International Youth Innovation & Future Education Association · Chair
Youth innovation and future-education initiatives.
AI4kids · Manager, Teacher Training & Curriculum Development
Designed a K-12 AI curriculum, ran teacher training and school partnerships; co-developed and recorded a six-volume AI textbook series and co-authored Volume 1 (Machine Learning).
NCUE · Teaching and research assistant
STEM course and lesson design; data collection, analysis and writing for Prof. Hsiao-Lin Tuan's MOST project (108-2511-H-018-004-MY3).
06 / Publications
Verifiable research output.
Starting from measurement: what drives high-school students to engage with and accept AI courses.
Development and validation of a learning-engagement scale for high-school AI courses
International Journal on Digital Learning Technology 16(2), 51–78, 2024
Development and validation of an acceptance scale for high-school AI courses
Journal of Technology and Human Resource Education 9(3/4), 92–118, 2023
AI Made Simple
Business Weekly Publications, 2021, co-author. ISBN 9789865482350
Edge Computing for Everyone
Chwa Publishing, sole author.
Six-volume K-12 AI textbook series (ML / DL / NLP / big data / AIoT / edge computing)
Chwa Publishing, 32 chapters. Co-author of Volume 1 (Machine Learning); co-developed and recorded the teaching videos for the whole series.
07 / Off the podium
Off the podium
I have walked Taiwan's 240 rail stations, climb its 100 peaks, and build products as one person with three AIs. None of it is a credential, but it explains why everything I make starts with the question: does it actually help?
How one person works with three AIs → · App Store rejections, ten times over →
08 / Collaborate
Need someone who understands research and can also ship?
For talks, teacher training and curriculum work, use the request form on the speaking page. Go to the request form →
For anything else, email: drnogreasy@gmail.com · GitHub ↗ · ORCID ↗