Evidence of understanding
A polished product does not prove understanding. Assessment should examine explanation, transfer, revision, and independent performance.
Biology educator · Academic leader · Builder
Education that asks us to think for ourselves.
I’m Daiju Hoshino, a biology instructor and department chair at Tarrant County College Northwest. I work on assessment, support faculty, and build practical tools for the problems I encounter in academic life.
Tarrant County College NorthwestBiology Department ChairSTEM Division AI AmbassadorDallas–Fort Worth, Texas
01Work in practice
A recurring problem.
A reason to build.
Vibe coding · A growing LinkedIn series
Do You Have the Vibe?
When exam-scoring software became unavailable, I built a browser tool to read the answer sheets. It grew into a system for individual student reports.
This series follows that work and the other tools I build for assessment, scheduling, and academic life. The problems, the constraints, and what I learned along the way.
Read the series
From answer sheets to individual feedbackScreenshots use fictional demonstration data. Read the stories for the design decisions and limitations.
02About & philosophy
Education should be rigorous and humane at the same time.
Learners differ. Recognizing those differences means offering real support while remaining honest about what students can explain and do independently.
The useful questions begin with context. Which students? At what developmental stage? Under what conditions? A method that strengthens one learner may give another a better immediate result without building the same understanding.
The goal is to use technology in ways that expand thinking while keeping the learner responsible for it.
Research in context
New research matters. So do its methods, limitations, population, and the difference between correlation and causation.
Meaningful routes
People begin from different biological, cultural, and educational places. Equity requires real support and honesty about what each path costs.
What this means for assessment in the AI era
Generative AI can produce a plausible answer, essay, presentation, or report. Students still need to question, verify, explain, revise, and apply what they understand. Assessment should make those actions part of the evidence.
Prompt
Record the exact question or search strategy.
Find
Gather explanations, claims, and possible evidence.
Verify
Check consequential claims against credible sources.
Deepen
Explain what changed in your own understanding.
03Leadership & contribution
Creating the conditions for good work.
Across department and institutional roles, I have worked on enrollment stewardship, faculty support, scheduling, student outcome analysis, and shared governance. The numbers matter because of what sits behind them. Access. Learning. Colleagues equipped to serve students well.
2,008 to 2,886 students across a four-year period of department leadership.
92 to 138 sections while rebuilding instructional capacity.
Invited, external, and institutional presentations on teaching and educational practice.
Recognition spanning both staff and faculty service.
“Your leadership helps move us all forward with greater clarity and intention.”
Zarina Blankenbaker, Ph.D. · President, TCC Northwest
04Writing & ideas
Different topics.
A habit of questioning.
I write where biology, education, society, and AI meet. I try to make assumptions explicit, look carefully at the evidence, and work out what it means for actual people.
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Browse all selected writingWhen AI Sounds Smart and Sounds Nice
How fluency, kindness, and agreement can hide weak judgment, and how educators can prompt for honesty.
AI Detection Is Unreliable. Here Are Three Better Paths
A practical case for verifying process, measuring independent performance, and designing assessment that makes thinking visible.
The Invisible Weights of Meritocracy
A biology informed reflection on human difference, effort, opportunity, and meaningful excellence.
“Workslop” Does Not Start at Work
Why higher education must examine the reasoning beneath a polished result.
Try the idea
Where could GenAI help your work?
The opportunity grows where your knowledge of AI reaches into the part of your work you can clearly explain. Move both sliders and watch which one changes the opening.
The percentages illustrate the overlap in this model. They do not measure productivity or predict outcomes.
The opportunity
0% of everything I do
Hard to explain
99% of everything I do
05Speaking & service
Ideas to bring back to your own work.
I speak with educators about assessment, responsible GenAI use, and building practical tools. My sessions connect the larger questions in education with decisions people can make in their own classrooms and departments.
Selected presentations
2026
- Warning Sign: When AI Sounds Smart and Sounds Nice TCC Summer Lunch and Learn
- What Higher Education Must Protect in the Age of Generative AI TCC Summer Lunch and Learn
- Human by Design: Teaching for Adaptability, Creativity, and Connection TCC Learning Symposium
- Scantron Reimagined: Data-Driven Insights for Meaningful Learning TCC Learning Symposium
2024
- From Now to Next: The Decade-long Journey of Generative AI NISOD Webinar
- Start From Scratch: No-Experience-Needed Boot Camp on Generative AI NISOD Annual Conference, three-hour preconference
Selected service and leadership contributions
College and statewide
- Biology Field of Study Subcommittee, THECB
- Academic Master Plan Advisory Committee
- AI Ambassador and AI Taskforce
- SACSCOC Decennial Review Work Team
Shared governance
- Faculty Association Senate Chair
- Faculty Association President
- Joint Consultation Committee Chair
- Faculty Handbook Development Focus Team
Teaching community
- Teaching Squares Facilitator
- Learning Symposium Planning Team
- Technology Mentor
- SEA-PHAGES program launch in BIOL 1406
A conversation can start here
Let’s talk about work that makes education better.
If you’re planning a keynote, faculty workshop, or presentation, I’d be glad to hear about your audience and the questions you want to address. I also welcome conversations about collaboration and future professional opportunities.
Connect on LinkedIn ↗
Mention the topic, opportunity, or event you have in mind.