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The research behind 11 teaching techniques, ready for your lesson plan.

Pick your constraints, such as AI or no AI, in person or online, and class size. Every technique says when it works, when it doesn't, and gives you a justification to paste into your plan.

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Technique finder

Set your constraints. Get a short list.

Every technique stays on the page, so search engines and screen readers see all of them. The controls only filter and reorder.

All 11 techniques, grouped by what they help with

Help students remember and solve problems

Make the learning stick, and teach procedures so students can solve problems they have not seen.

Strong evidenceWorks with or without AI

Low-stakes retrieval practice

How do I get students to remember what I taught after the exam?

Short, ungraded quizzes that make students pull ideas out of memory instead of rereading them. It takes a few minutes of class time and has some of the strongest evidence in the learning sciences.

Best when:
Students must keep facts, terms, procedures, or key ideas for weeks, such as for a cumulative final or the next course in a sequence.
Weak when:
Students are meeting the material for the first time and cannot yet recall anything. Teach it first (a worked example, a short explanation), then quiz.
In personLive onlineSelf-paced onlineAny class sizeUnder an hour to set up
Strong evidenceWorks with or without AI

Spaced practice

How should I schedule review so students remember for the final, not just the quiz?

Return to the same material several times with gaps in between, instead of covering it once or reviewing it all in one sitting. The best gap depends on how long you want students to remember.

Best when:
The course is cumulative and students must remember early material for a final or a later course.
Weak when:
The course or workshop is a single session. There is no later occasion to return to the material.
In personLive onlineSelf-paced onlineAny class sizeA few hours to set up
Strong evidenceWorks with or without AI

Worked examples with fading

How do I teach students to solve problems in math, accounting, or programming without losing them?

Show novices complete solutions to study, then gradually remove steps until they solve problems on their own. It is one of the best-supported ways to teach a procedure to someone who has never done it.

Best when:
Students are novices learning a procedure, such as solving equations, preparing journal entries, writing a loop, or balancing a chemical equation.
Weak when:
Learners already know the material. Methods that help novices can lose their benefit or even hurt experienced learners (the expertise reversal effect), so fade quickly or skip full examples.
In personLive onlineSelf-paced onlineAny class sizeA few hours to set up

Group work and discussion

Get every student thinking and talking, in a lecture hall or a small group.

Moderate evidenceNo AI needed

Peer instruction with concept questions

What can I do in a 200-student lecture to get every student thinking?

Pose a conceptual question, have every student commit to an answer, let neighbors argue it out, then vote again. It turns a lecture into a series of short, structured conversations.

Best when:
The course has predictable conceptual misconceptions that a good multiple-choice question can expose.
Weak when:
The content is mostly procedural, with no conceptual question to argue about. Worked examples and practice problems may fit better.
In personLive onlineAny class sizeA few hours to set up
Strong evidenceNo AI needed

Cooperative groups with individual accountability

How do I make group work fair so one student doesn't do all of it?

Structured group work in which the team succeeds only if every member learns, and each member is held individually accountable. Assigned roles and one individual check do most of the work.

Best when:
The task is large or complex enough that several people can each take a part, such as a case study, lab, or multi-part problem set.
Weak when:
One person can finish the task alone faster than the group can. Groups then split the work and nobody learns the whole.
In personLive onlineAny class sizeA few hours to set up
Emerging evidenceBuilt around AI

Explain It Yourself: AI-assisted group projects with individual accountability

How do I let students use AI in a group project without losing the learning?

A design for courses where students may use AI. AI helps students plan. Then every student must explain the material and solve problems of that type alone, in front of teammates and the instructor.

Best when:
Your students may use AI for planning and you want each student's own understanding to be visible.
Weak when:
The course is fully online and asynchronous. The design depends on live visits, whiteboards, and questioning.
In personUnder 60 studentsA project to set up

Feedback, assignments, and assessment

Clearer assignments, feedback students use, and assessment that still works when AI is in the room.

Moderate evidenceWorks with or without AI

Feedback with a next step

How do I give feedback that students actually use?

Comments that are about the work, specific, early enough to act on, and end with something the student can do next. Feedback is among the most influential things instructors do, and also one of the easiest to do badly.

Best when:
Students will do more work on the same skill soon, so they can use the comments before the next graded task.
Weak when:
Comments arrive after the course has moved on or after the final grade, so nothing can be done with them.
In personLive onlineSelf-paced onlineAny class sizeA few hours to set up
Emerging evidenceWorks with or without AI

Transparent assignments (TILT)

How do I make my assignments clearer for first-generation students?

Rewrite an assignment so students can see, before they start, why it matters, exactly what to do, and what good work looks like. It is a one-hour change aimed at the students who are least likely to already know the unwritten rules.

Best when:
Students are unsure what an assignment is for or what counts as good work, as in many introductory courses.
Weak when:
The assignment's purpose is unclear to you too. Clear wording cannot fix a task that is not tied to an outcome. Fix the design first.
In personLive onlineSelf-paced onlineAny class sizeUnder an hour to set up
Emerging evidenceWorks with or without AI

Process-based assessment when students can use AI

How do I assess student work when they can use AI?

Look at how a student got to the work, not only at the finished file. Drafts, an AI-use log, and one short live check give you evidence that survives whether your course allows AI or bans it.

Best when:
Students can use AI outside class, as in take-home work and online courses, and you still need evidence of what each student can do.
Weak when:
The class is very large and you have no help. Individual live checks do not scale, so rely on short in-class tasks and sampling.
In personLive onlineSelf-paced onlineAny class sizeA few hours to set up

Online, recorded, and AI-supported practice

Make recorded content work, and set up AI so it supports practice instead of replacing it.

Moderate evidenceWorks with or without AI

Short, interactive instructional video

How do I make my recorded lectures work better for online students?

Record short videos, one idea each, and put a question or task after each one. Use video to add to your teaching, not only to replace a live lecture.

Best when:
You teach online or flipped, and students watch video before or instead of a live session.
Weak when:
Videos run long with no breaks. In one large study of online course videos, median engagement time was at most about 6 minutes no matter how long the video was.
Self-paced onlineIn personAny class sizeA project to set up
Emerging evidenceBuilt around AI

A guardrailed AI tutor for practice

Can I let students use AI to practice without hurting their learning?

If students are going to practice with AI, set it up as a tutor that gives hints and works through steps, not a chatbot that hands over answers. Two randomized studies show the difference can be large.

Best when:
Students practice problems with checkable answers, such as math, physics, accounting, or programming, and you can supply worked solutions for the tutor to follow.
Weak when:
Students use a general chatbot that gives answers on request. In the high school experiment, unrestricted access improved practice scores but left students about 17% below the control group on the later exam without AI.
In personLive onlineSelf-paced onlineAny class sizeA project to set up

How it works

From a question about your class to a justification you can paste.

  1. Say what you are working with

    AI or no AI, in person or online, class size, and how much time you have to set it up. Or just search in your own words.

  2. Compare what fits

    Each card shows how strong the evidence is, plus one case where it works well and one where it does not.

  3. Paste the justification

    Every technique page ends with a one-sentence and a full rationale, with AMA references, ready for a lesson plan or course-design form.

Honest labels

Every technique is labeled by how strong its evidence is.

The labels use fill, outline, and dash as well as words, so they do not depend on color. Where evidence is early or a design is untested, the page says so. How the labels are decided.

Strong evidence

Many studies, often including meta-analyses or large classroom studies, point the same way in college or closely comparable settings.

Moderate evidence

Consistent results from several studies, but a narrower base, or effects that depend a lot on how the technique is done.

Emerging evidence

Promising early results, often from one project or setting, or a design whose parts are supported but whose combination is untested.

Questions faculty are asking

Short answers, with the research behind them.

Each answer names the studies and links to the technique page that has the full citation.

Can I let students use AI in my course without hurting their learning?

It can go either way, and how the AI is set up seems to matter more than which tool it is. In a randomized field experiment with nearly 1,000 high school math students, unrestricted GPT-4 access raised practice scores but left students about 17% below a no-AI control group on a later exam, while a version built to give hints instead of answers largely avoided that harm (Bastani et al. 2025). In a randomized trial in one Harvard physics course, students learned more in less time from a purpose-built AI tutor than in an active learning class (Kestin et al. 2025). Both studies are single-site and short-term. See a guardrailed AI tutor for practice, Explain It Yourself, or every technique built around AI.

Do AI detectors work for catching student cheating?

Not reliably. A test of 12 publicly available detection tools and two commercial systems (Weber-Wulff et al. 2023) concluded that none was accurate or reliable, and the errors leaned toward labeling human writing as AI-generated. Liang et al. 2023 found that detectors frequently misclassify writing by non-native English speakers as AI-generated. A sturdier approach builds evidence of the student's own thinking into the assignment itself. See process-based assessment.

How do I write a pedagogical justification for my lesson plan?

Use three parts: the outcome students will reach, the research behind the method (what was found, in what setting, and how certain it is), and the evidence of learning you will collect. The justification guide has the template and a worked example, and every technique page ends with a one-sentence and a full version you can copy, with AMA references.

Which teaching techniques have the strongest research evidence?

Four techniques here carry the strong label: retrieval practice, spaced practice, worked examples, and cooperative groups with individual accountability. For example, a meta-analysis of 222 classroom studies found a medium-sized achievement benefit from quizzing (Yang et al. 2021), and social interdependence theory, behind cooperative learning, draws on more than 1,200 studies (Johnson & Johnson 2009). The method page explains the labels.

How do I get students to remember material after the exam?

Have them pull it out of memory, and come back to it later. In experiments by Roediger & Karpicke 2006, students who took recall tests remembered much more after two days and a week than students who reread, even though rereading made them feel more confident. Cepeda et al. 2008 studied more than 1,350 people and found that the best gap between study sessions grows with how long you need them to remember. See retrieval practice and spaced practice.

What can I do in a 200-student lecture to get every student thinking?

Peer instruction works with no special room: pose a conceptual question, have every student vote alone, let neighbors discuss, vote again, then explain. A ten-year report from introductory physics courses found gains in both conceptual understanding and problem solving (Crouch & Mazur 2001). More broadly, active learning raised exam and concept inventory scores by 0.47 standard deviations in a meta-analysis of 225 undergraduate STEM studies (Freeman et al. 2014). See peer instruction, or techniques for large in-person classes.

How do I make group work fair so one student does not do all of it?

Link the outcomes and check each person. Structured cooperative learning rests on group members' outcomes depending on each other and on each member staying individually accountable (Johnson & Johnson 2009). In practice that means small groups, rotating roles, and an individual check whose results feed the group's result. In a meta-analysis of undergraduate STEM courses, small-group learning raised achievement and persistence (Springer et al. 1999). See cooperative groups.

How do I teach students to solve problems in math, accounting, or programming without losing them?

Show complete solutions first, then fade the support. In five algebra experiments, worked examples cut processing time and errors (Sweller & Cooper 1985), and gradually fading examples into problems beat the usual example-then-problem pairing on near transfer (Renkl et al. 2002). The benefit shrinks as expertise grows (Kalyuga et al. 2003), which is why the fading matters. See worked examples.

How do I make my recorded lectures work better for online students?

Add video to your teaching instead of replacing it, keep it short, and put a question after each segment. A systematic review of randomized trials found larger gains when video was added to existing teaching (g = 0.80) than when it replaced teaching (g = 0.28) (Noetel et al. 2021). In an observational study of 6.9 million viewing sessions, median engagement was at most about 6 minutes (Guo et al. 2014). See instructional video design.

How do I give feedback that students actually use?

Keep it about the task, return it while it can still be used, and end with a next step. In a meta-analysis of 607 effect sizes, over one-third of feedback interventions decreased performance, especially when attention shifted from the task to the self (Kluger & DeNisi 1996). The often-quoted effect size of about .70 for formative assessment is not supported by a careful K-12 meta-analysis, which found about .20 (Kingston & Nash 2011). See feedback with a next step.

How do I make my assignments clearer for first-generation students?

State the purpose, the task, and the criteria for success on the assignment itself (the TILT framework). A multi-institution pilot reported statistically significant gains of medium to large effect, especially for first-generation, low-income, and underrepresented students (Winkelmes et al. 2016). The evidence is early and comes from one project, so it is labeled emerging. See transparent assignments.

What can I try in the next hour?

Two low-prep options: a 3-to-5-minute retrieval quiz at the start of class, or one assignment rewritten with a purpose, task, and criteria (transparent assignments). See everything that takes under an hour to set up.

Has any of this been tested in community colleges?

Rarely directly, and the pages say so. Much of the evidence comes from four-year universities, K-12 schools, and laboratories. One comparison of a two-year college with a research university found stronger conceptual learning and lower attrition in introductory physics with peer instruction (Lasry et al. 2008). Each technique page lists its limits. Treat any technique as something to try in your own class and compare with a previous term.

Why this exists

Lesson plans ask why. The answer should take minutes, not a literature search.

Faculty are often asked for a pedagogical justification, and the research is spread across journals that are hard to search. This site indexes well-supported practices in one place, with the findings sized honestly and the weak spots stated. It is a working library, not a finished one, and it grows by adding one page at a time.

  • WhoJesse Rogers, Learning Lab Coordinator for mathematics at the Palm Beach Gardens Student Learning Center, Palm Beach State College.
  • SinceAt the college since 2006: tutoring, supervising tutors, and co-chairing the SLC AI Work Group. Presents on AI to faculty and students.
  • IndependentThis is an independent project, not an official resource of Palm Beach State College.
  • AI useResearch, drafting, editing, and checking used AI assistance (claude-sonnet-5-5). Read the disclosure and the checking method.

Contact

Found an error, or want a technique added?

Message me on LinkedIn. I check corrections against the source and update the page.