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How to Choose an Inquiry-Based Learning Theme: Field-by-Field Directions and the Three Conditions of a Good Question for High School

Published2026-07-19濱本 隆太

When students cannot settle on an inquiry-learning theme, the problem is rarely motivation — it is design. Grounded in primary sources from Japan's Ministry of Education, this guide covers the three reasons students get stuck, the three conditions of a good question (verifiability, personal stake, and information access), field-by-field directions across society, community, science, culture, and sports, and a three-lesson classroom plan that carries students to a provisional theme.

How to Choose an Inquiry-Based Learning Theme: Field-by-Field Directions and the Three Conditions of a Good Question for High School
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This is Hamamoto from TIMEWELL.

There is no universal answer sheet for choosing an inquiry-based learning theme. But there are clear patterns in why students get stuck, in what makes a question good, and in how to run the process in class. This article is for high school teachers in charge of the Period for Inquiry-Based Cross-Disciplinary Study. Grounded in primary sources from Japan's Ministry of Education (MEXT), it lays out the three reasons students stall at theme-setting, the three conditions of a good question (verifiability, personal stake, and information access), field-by-field directions for themes across society, community, science, culture, and sports, and a three-lesson classroom plan that carries students to a provisional theme.

The Period for Inquiry-Based Cross-Disciplinary Study is a required subject worth a standard three to six credits under Japan's 2018 Courses of Study for upper secondary schools — there is no avoiding it1. And yet a whole term can melt away with students still stuck on the very first step. Our core business at TIMEWELL is hands-on AI support for companies, but when I talk with schools, theme-setting is the single most common worry I hear from teachers. Three key points up front.

  • When students stall on a theme, it is not a motivation problem. It is a design problem: confusing topics with questions, an operation that demands one-shot decisions, and freedom that is too wide open.
  • A good question meets three conditions: verifiability, personal stake, and information access. Run ideas through this sieve and topics turn into questions.
  • A provisional theme is fine. A realistic plan carries students to a provisional decision through three lessons — divergence, convergence, refinement — plus homework, then grows the question through mini-verification.

When a theme will not come, it is not a motivation problem

"So many students can't decide on a theme that the inquiry never gets started." Every time a teacher tells me this, my answer is the same: what is stuck is not the students' will but the design of the theme-setting process. Watch how students stall and you will find it falls into roughly three patterns.

The first pattern is confusing a topic with a question. "I want to do something about soccer." "I'm interested in cosmetics." These are seeds of a theme, not yet questions. The Courses of Study write the process directly into the goals of the subject: "finding a question from one's own relationship with real society and real life, setting one's own task, gathering information, organizing and analyzing, and summarizing and expressing"2. The first step is not gathering information or presenting — it is finding a question. A student who has merely picked a topic has not taken that step. That is why the soccer fan searches "history of soccer" and ends up copying out generalities that read like everything else on the internet. A topic starts moving as inquiry only once it is converted into a question, something like "why does our team get outrun in official matches when our practice hours are longer?"

The second pattern is the psychology of trying to land the perfect theme in one shot. Some of this is students' own caution, but school operations often reinforce it — refusing changes to the theme submitted at the start of the year, or making a change feel like a failure. The Courses of Study state, in the handling of content, that theme-setting should "emphasize the process in which students discover the task themselves"2. What deserves the emphasis is the process. The premise collapsed once they actually looked into it; a more interesting question walked in from the side. Rebuilding the question in response is, I would argue, evidence that the inquiry is functioning. In professional research, too, the opening question rarely survives to the end untouched.

The third pattern is freedom that is too wide. "You can do anything you like" sounds kind, but it is the instruction that leaves students least able to move. With unlimited options, people exhaust themselves on the choosing itself. Even adults freeze when told "from tomorrow, do whatever you want" — all the more so at sixteen. Ideas come from constraints: the frame of your own region, the frame of testing with data, the frame of interviewing someone. I have watched plenty of students whose hands started moving the moment a frame was set.

Flip these three patterns over and you get the prescription for the lesson design: hand students a tool for converting topics into questions, institutionalize provisional decisions and changes, and set moderate constraints up front. The rest of this article turns that prescription into concrete form, one piece at a time.

The three conditions of a good question: verifiability, personal stake, information access

When turning a topic into a question, what yardstick should you use? When I help schools polish themes, I screen with three conditions.

Condition The question to ask the student What happens without it
Verifiability Can you test this within three months to a year, using data or primary sources? The student wanders into a grand debate with no answer and ends up transcribing generative AI's generalities
Personal stake Does this connect to your own life, or to the community you live in? It becomes secondhand book research, and the energy dies around the midterm presentation
Information access Can a high school student actually reach the information, data, and people this requires? Research hits a dead end and the student cycles through theme changes

Start with verifiability. "Will AI take human jobs?" looks imposing, but it is entirely beyond what a high school student can verify in a year. "How have office-job listings in my city changed over the past decade?" can be checked against public statistics. Match the size of the question to the time and tools the student actually has. That is the first sieve.

Personal stake is grounded in the goals of the Courses of Study themselves, which call for developing the ability to "discover and solve problems while considering one's own way of being and living"2. A question severed from the self does not last, however impressive it looks. On this point there is a line I often share. Yoichi Ito, dean of the Faculty of Entrepreneurship at Musashino University, told an audience of high school career-guidance teachers that "the essence of entrepreneurship education is to keep asking, 'What do you want to do?'"3. Strip theme-setting interviews down to their core and are they not exactly this question? MEXT likewise positions entrepreneurship education as "education to acquire the knowledge, abilities, and attitudes to take on challenges toward solving problems and to explore solutions in collaboration with others"4 — and inquiry theme-setting sits right at its entrance.

The third condition, information access, is the one most often overlooked. A question can be verifiable and personally meaningful, yet still unwritable for a high schooler if it requires a company's internal data or fieldwork overseas. Conversely, the sources a high school student can reach are more plentiful than people assume: e-Stat, the Japanese government's statistics portal; RESAS, the regional economy analysis system; the Japan Meteorological Agency's historical weather data; municipal statistical yearbooks and assembly minutes; local history museums; and adults in the community willing to be interviewed. Before locking in a question, have students imagine, just once, who can reach that information and how. It removes most of the dead ends later.

Two worked examples of polishing. "How can regional revitalization succeed?" trips over all three conditions — a classic. Lower it to "how has the vacancy rate of my city's central shopping street changed over ten years, and which municipal programs overlapped with the shifts?" and it becomes verifiable through statistics and assembly minutes, personal because it is the student's own neighborhood, and accessible because the records are public. "I want to study sleep and grades" becomes "is there a correlation between our students' sleep hours and Monday quiz scores, and does it differ by grade level?" — a question testable with the school's own survey data. The common trick is to pin the question down with a specific period, place, and population.

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Directions by field, and the doorways to primary sources

With the three conditions in hand, here are the directions by field. I am deliberately going broad and shallow: for each field, only two things — which way to point the question so it becomes an inquiry, and where the doorways to primary sources reachable by high schoolers are. The deep dives belong to specialized articles and materials. This article's job is to hand students a map so they do not get lost on the first step.

Field Where to point the question Example of a polished question Doorways to primary sources
Social issues Bring grand debates down to nearby institutions and shifting numbers Are my city's emergency stockpiles sufficient for the projected number of evacuees? e-Stat, municipal disclosures, assembly minutes
Community and town planning Trace local industry, population, and transport data over time How has foot traffic in front of the station changed in ten years, and what events did the shifts coincide with? RESAS, municipal statistical yearbooks, chamber of commerce materials
Science and nature Reduce familiar phenomena to observations and experiments you can run yourself At which points does the temperature along my commute diverge from the Japan Meteorological Agency's readings, and by how much? JMA historical weather data, publications from universities and research institutes
Culture and history Cross-check documents and oral interviews against the received story How have the people carrying my hometown festival changed across three generations? National Diet Library Digital Collections, local history museums, interviews
Sports and health Test gut feeling and received wisdom with measurement and data How do sprint times change before and after we alter the practice menu? The Japan Sports Agency's physical fitness survey, the school's own measurement logs
School and daily life Investigate as a stakeholder, then carry it through to a proposal and real change Do our school's seasonal uniform rules match recent temperature data? In-school surveys, JMA data, student council and school regulations

Social issues are the most popular field and the most accident-prone. Poverty, the environment, gender — the significance is beyond doubt, but run with the question at full size and the output becomes a copy of commentary. The saving move is the qualifier "in my city." Even a planetary-scale issue, lowered to the level of municipal records, becomes something a high schooler can get their hands on.

Community and town planning is, in terms of data doorways, an unexpectedly privileged field. Open RESAS and you can survey industrial structure and the flow of people region by region. Look at the numbers, then walk the streets, then interview people. Students who work this three-step rarely stall.

In science and nature, the dividing line is whether the object of measurement can be narrowed. You cannot interrogate the origin of the universe, but you can measure temperature differences along your commute. Measure small, then reconcile against official observations — once students learn this pattern, questions well up without end. Culture and history carries a weapon peculiar to high schoolers: the interview. Elderly residents say yes to a high school student's interview request at a remarkably high rate. Sports and health turns the student's own body and team into the laboratory. And school and daily life may be the one field where students can run the full line from investigation to proposal to implementation — inquiries into school rules and facilities sometimes end up changing the school itself.

One more current worth knowing when weighing directions. The N-E.X.T. High School Vision, published by MEXT in February 2026, set a target that by 2040 "100% of general-course high schools engage in learning that crosses the humanities-sciences divide"5. As of FY2024, the final year of the general course skews heavily: 51.4% humanities-track and 30.8% science-track5. Themes that straddle the divide are set to become the mainstream of inquiry. I cover the full picture in the guide to the N-E.X.T. High School Vision.

Choosing AI or frontier science? There is a dedicated theme collection

You may have noticed that AI and frontier science are deliberately missing from the table above. The reason is simple: for this field alone, we maintain a separate article that goes all the way down to the level of individual questions. 50 inquiry-learning themes in AI and frontier science collects fifty questions across six areas — life science, math and physics, robotics, social issues, community, and ethics — complete with teaching guardrails that keep students from outsourcing the work to AI. To make the division of labor explicit: this article is the general guide to how to decide, regardless of field; the fifty-theme article is the AI-specific inventory of questions. Once students have the deciding method from this article, hand the AI-curious ones that list.

As for the larger context — AI itself transforming how science is done, such as the protein-structure prediction of AlphaFold leading to the 2024 Nobel Prize in Chemistry — I wrote about it in the guide to AI for Science. For science-minded students, the story of that current is itself powerful fuel for theme-hunting.

A classroom plan for theme-setting: three lessons plus homework to a provisional decision

Finally, let me put these tools into a lesson sequence. The standard form I design with schools is three lessons and one homework assignment, carrying students to a provisional decision.

Session Aim Main activities
Lesson 1 (divergence) Mass-produce seeds of questions Within a time limit, students write out thirty things that interest or nag at them. No field constraints at this stage. Then pairs swap lists and ask each other, "Why does that bother you?"
Lesson 2 (convergence) Screen with the three conditions Students narrow the seeds to five, self-review against a checklist of verifiability, personal stake, and information access, then peer-review in pairs and keep the surviving two or three
Homework (mini-verification) Test information access in the field For the surviving questions, students actually open at least one doorway to a primary source. Finding one number on a statistics site, checking a museum's opening days, or naming one person they could interview is enough
Lesson 3 (refinement and provisional decision) Shape it into a question Students rewrite it as an interrogative sentence and pin it down by period, population, and place. After the teacher announces to the whole class that themes may be changed later, students submit a provisional theme

A few notes. In lesson 1, quantity is everything. Students flinch at the number thirty, but somewhere past ten, the things they genuinely care about start to surface. The one rule of this lesson is not to ask for well-formed questions. In lesson 2, a three-level scale — circle, triangle, cross — is plenty for the checklist. Run it for real and you will find questions that earn circles on all three conditions are rare; the substance of the lesson is the conversation about how to move a triangle toward a circle. The homework mini-verification can be light, but insist that students touch something real. One statistic, one museum's opening hours — a question that has touched the real thing wears a completely different face in lesson 3.

What this sequence demands of the teacher is not handing over answers but asking back. In the same lecture quoted earlier, Ito also described how to be with a struggling student: "talk one on one, and simply listen — asking questions without judging"3. I believe theme interviews call for the same posture. The moment you judge — "that theme is no good" — the student stops growing their own question and starts hunting for the teacher's correct answer.

Decide the rules for theme changes in advance and announce them. My recommendation: changes are free, but there is a deadline. For example, students may change as many times as they like until the midterm presentation, on the condition that each change comes with three written lines on why. Those three lines become a reflection exercise in their own right. Unlimited changes invite running out of time; a ban on changes makes the first step too heavy. Pairing freedom with a deadline is, in my experience, the least accident-prone operation.

Incidentally, what happens when a student asks generative AI for "interesting inquiry themes" at the deciding stage? Try it and you will see: plausible themes appear in an instant, in a list decisively missing the one thing that matters — personal stake. In the first half of theme-setting, the inventory-taking of one's own itches, students should use their own heads before touching AI. AI's turn comes afterward, as a sparring partner for "where is this question weak?" I wrote up the concrete steps for that division of roles in the practical article on high school inquiry-based learning and generative AI.

At TIMEWELL, through WARP for Schools, our program for schools and educational institutions, we help design inquiry-based learning that incorporates generative AI, including the theme-setting lessons themselves. We have been involved in developing more than 500 people and have worked on a partnership project with the Tokyo Metropolitan Government (WARP ENTRE). Our representative, Hamamoto, is also involved in educational support at Musashino University's Faculty of Entrepreneurship. If you work at a school and would like to think through theme-setting design together, feel free to take a look — starting with a simple exchange of notes is perfectly fine.

Summary

  • When students cannot settle on a theme, it is not a lack of motivation. It is a design problem: topics confused with questions, one-shot-decision operations, and freedom that is too wide.
  • A good question meets three conditions — verifiability, personal stake, and information access — and the three work as a classroom-ready sieve for turning topics into questions.
  • The pattern common to every field is lowering the question onto nearby numbers, documents, and people. For AI and frontier science, the dedicated fifty-theme collection holds the inventory of questions.
  • Run three lessons plus homework — divergence, convergence, refinement — to a provisional decision. Changes free, deadline set, is the realistic operation.
  • The teacher's job is asking back, not judging. Keeping the question "What do you want to do?" alive is the core of theme-setting guidance.

Theme-setting is not a warm-up before the real inquiry. Posing a question, testing it, rebuilding it — it is the first full lap of the inquiry itself. A student who has been around that lap once, inside three lessons, can rebuild their own question when the real inquiry hits a wall. It is a case of more haste, less speed: theme-setting is exactly where the design effort pays off.


References

Footnotes

  1. MEXT, Subjects Common to All Departments and Standard Credits, Courses of Study for Upper Secondary Schools (2018 revision)

  2. MEXT, Comparison Table of the Courses of Study for Upper Secondary Schools: Period for Inquiry-Based Cross-Disciplinary Study (2018 revision) 2 3

  3. Aomori Prefectural Senior High School Education Research Association, Career Guidance Division: Transcript of the Keynote Lecture "Entrepreneurship Education and Career Education" by Yoichi Ito (FY2024 research bulletin) 2

  4. MEXT, Monthly Report of Boards of Education, May 2024 issue, Special Feature 2: Entrepreneurship Education for High School Students

  5. MEXT, Basic Policy on High School Education Reform (Grand Design): The N-E.X.T. High School Vision Toward 2040 (February 13, 2026) 2

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