# ACE It: A Curriculum Source for Articulate, Connect, Extend

**Author:** Miguel Guhlin, TCEA
**Source post:** "ACE It: Three Steps from Surface to Transfer Learning," [TCEA Blog](https://blog.tcea.org/), June 8, 2026
**Companion frameworks:** SOLO Taxonomy (Biggs and Collis), Visible Learning (John Hattie), PRISM, VIVA, RETO, PREPARE, MPAR
**Audience:** Classroom teachers, instructional coaches, school leaders, and parents
**Purpose:** Equip you to teach the ACE routine, model it with Generative AI tools, and pair it with high-effect-size instructional strategies so students move from surface understanding to genuine transfer

---

## 1. Why ACE, and Why Now

Generative AI can produce a polished report, a tidy slide deck, or a confident infographic in seconds. The artifact looks like learning even when no learning happened. That gap is what ACE was built to close.

ACE is a three-step routine you can teach in about thirty seconds:

1. **A — Articulate It.** Say what it is in your own words, using something from your life.
2. **C — Connect It.** Show how it fits with what you already know, and explain why it works.
3. **E — Extend It.** Use the idea somewhere new, on a problem nobody handed you.

Each step corresponds to a level of SOLO Taxonomy and to one of John Hattie's Visible Learning phases (Surface, Deep, Transfer). When a student can ACE a concept, they own it, regardless of how the surrounding product was generated.

The ACE routine is not anti-AI. It is a way to make student thinking visible so that you can use AI confidently, knowing the student is the one doing the cognitive work.

---

## 2. The Theoretical Underpinning: SOLO Taxonomy

The **Structure of the Observed Learning Outcome (SOLO) Taxonomy**, developed by John Biggs and Kevin Collis in 1982, describes five levels of increasing complexity in a learner's response. It is the foundation of ACE because each ACE step targets a distinct SOLO transition.

| SOLO Level | What the learner can do | Learning phase | ACE step |
| --- | --- | --- | --- |
| Pre-structural | Has little or no relevant prior knowledge; responses are tangential or missing | Prior knowledge | (before ACE) |
| Uni-structural | Identifies one relevant feature or fact | Surface | Articulate |
| Multi-structural | Lists several relevant features but does not connect them | Surface | Articulate |
| Relational | Integrates the features into a coherent whole; explains how and why | Deep | Connect |
| Extended abstract | Generalizes the idea to new contexts, hypothesizes, transfers | Transfer | Extend |

### Why SOLO matters for AI-saturated classrooms

A Gen AI tool can produce extended-abstract-looking prose at any moment, on demand. SOLO gives you a way to look past the polish of the artifact and listen for the structure of the student's thinking. ACE makes that listening routine.

### Instructional moves by SOLO level

| SOLO Level | Recommended instructional moves |
| --- | --- |
| Pre-structural | Build or activate prior knowledge; AI-generated game/quiz pre-assessment, vocabulary front-loading, anticipation guides |
| Uni-structural | Three-step Jigsaw, vocabulary programs, retrieval practice, basic AI prompts for definitions |
| Multi-structural | Direct instruction, Flipped Classroom, note-taking, summarization, curated AI-summarized resources evaluated with SIFT |
| Relational | Concept mapping, metacognition, self-judgment and reflection, AI as a brainstorming and connection-finding partner |
| Extended abstract | Problem-Based Teaching, Transfer Strategies, Service Learning, AI as a prototyping and innovation partner |

---

## 3. The ACE Steps in Depth

### 3.1 A — Articulate It

> Say what it is in your own words. Use something from your life.

This is the move from uni-structural to multi-structural on SOLO, and the heart of Surface Learning in Hattie's research. You are not asking for a polished essay. You are asking for evidence that the student holds at least one piece of the idea in their own working memory and can name it in plain language.

**Sentence stems**

- "The pattern you see is..."
- "This reminds you of..."
- "Here, you noticed that..."
- "In your own words, this means..."
- "You can describe this as..."
- "An example from your own life is..."

**Listening for evidence.** You are looking for ownership, not accuracy. A partial, imperfect, lived-in explanation is more useful at this stage than a textbook-perfect one, because it tells you what the student is actually holding onto.

**Worked example, grade four science.** A fourth grader explains photosynthesis by saying, "Plants eat sunlight, kind of like how I eat breakfast." This is simplistic, but it is hers. You now have a foundation. The metaphor of "eating" gives you the next move: introduce the role of chlorophyll, water, and carbon dioxide as the ingredients in the plant's meal.

**Worked example, grade eight ELA.** After reading a short story, an eighth grader articulates the theme as, "The story is about how secrets break trust, kind of like when my older brother said he wasn't going to tell our mom and then he did." The student has named the abstract concept (secrets break trust) and grounded it in lived experience. You can hear that she owns the theme.

**Worked example, high school algebra.** A tenth grader articulates the meaning of slope as, "Slope is how steep a road is. A big slope means a steep hill, and a slope of zero is just flat ground." The student has a uni-structural grasp of slope as steepness. You can build from there toward rate of change.

### 3.2 C — Connect It

> Show how the idea fits with what you already know. Explain why it works.

This is the relational level on SOLO and the bridge from Surface to Deep Learning. The student is no longer listing facts. She is linking them, citing evidence, and explaining mechanisms.

**Sentence stems**

- "This connects to ___ because ___"
- "The reason for this is..."
- "The bigger picture shows..."
- "This works because..."
- "This is similar to ___, but different from ___"
- "The evidence you have for this is..."

**Listening for evidence.** Look for claim, evidence, and reasoning (CER). Look for the student making a connection across two ideas she has not been explicitly told to connect. Look for "because" used correctly.

**Worked example, grade four science continued.** The same fourth grader, after a few days of work, now says, "The basil in our kitchen window doesn't get much sun, so it grows slowly. The leaves stay pale because there isn't enough light to make food." She has linked photosynthesis to an observation in her own home and offered a mechanism (light, food production, leaf color). That is relational thinking.

**Worked example, grade six social studies.** Studying the Texas Revolution, a sixth grader connects: "The settlers wanted Texas to stay independent because the Mexican government changed the rules after they had already moved there. It is like if you started a game with one set of rules, and partway through, someone changed them, you would be upset too." The student has built a bridge from political grievance to a lived analogy, and named the mechanism (rule changes mid-arrangement).

**Worked example, high school algebra continued.** The tenth grader connects slope to rate of change: "Slope is how fast something changes. In the savings account problem, the slope is how many dollars you save each week. A bigger slope means you save faster." She has linked the geometric meaning to the contextual meaning, which is deep learning territory.

### 3.3 E — Extend It

> Use the idea somewhere new. Test it. Try it on a problem nobody handed you.

This is extended abstract on SOLO and Transfer Learning in Hattie's research. You are asking the student to generate a hypothesis, design a test, generalize a principle, or apply the idea to a problem that was not part of the lesson.

**Sentence stems**

- "Another way to think about this is..."
- "You can test this by..."
- "One way to check this is..."
- "If you tried this with ___, then..."
- "You could use this idea to solve..."
- "A new question this raises is..."

**Listening for evidence.** Look for a testable prediction, a new context, or a self-generated question. The student should be doing something the lesson did not directly assign.

**Worked example, grade four science continued.** The fourth grader extends: "If you move the basil to the window with afternoon sun, the leaves should darken within two weeks. You will count new leaves and check the color to see if you are right." She has generated a hypothesis with a falsifiable prediction and a measurement plan. That is transfer.

**Worked example, grade eight ELA continued.** The eighth grader extends: "You wonder if the theme about secrets breaking trust also shows up in news stories about politicians who lie. You will pick two news articles this week and check whether the same pattern is there." The student is transferring a literary theme to a real-world domain, generating an investigation she designed herself.

**Worked example, high school algebra continued.** The tenth grader extends: "If you graph your phone battery percentage by the hour, you can find the slope of how fast your phone drains. Then you can predict when it will hit zero. You will record the percentage every hour tomorrow." She is taking slope into a self-chosen, novel domain with a real measurement plan.

---

## 4. ACE Mapped to Frameworks

| ACE Step | What students do | SOLO level | Learning phase |
| --- | --- | --- | --- |
| Articulate | Say what it is in their own words | Uni-structural to Multi-structural | Surface |
| Connect | Show how it fits and why it works | Relational | Deep |
| Extend | Use it somewhere new | Extended Abstract | Transfer |

ACE is intentionally smaller than PRISM (Patterns, Reasoning, Ideas, Situation, Methods) and lighter than VIVA (Voice, Insight, Verification, Application). Both PRISM and VIVA remain useful for older students and structured coaching. ACE is the routine you teach in thirty seconds so that students, teachers, and parents share a common shorthand.

---

## 5. Effect Sizes for Instructional Strategies

Pair each ACE step with strategies that have a Visible Learning effect size of d ≥ 0.40, the "hinge point" for one year's growth in one school year. Below d = 0.40, a strategy is unlikely to outperform what students would learn anyway. The strategies listed are drawn from the Visible Learning MetaX database (February 2025 snapshot).

### 5.1 Surface Learning strategies (pair with Articulate)

| Influence | Effect size (d) | Impact |
| --- | --- | --- |
| Jigsaw Method | 0.92 | Potential to considerably accelerate |
| Feedback (corrective, reinforcement, and cues) | 0.92 | Potential to considerably accelerate |
| Captions and subtitles | 0.91 | Potential to considerably accelerate |
| Augmented Reality | 0.63 | Potential to considerably accelerate |
| Effects of testing (retrieval practice) | 0.63 | Potential to accelerate |
| Differentiation | 0.58 | Potential to accelerate |
| Flipped Classroom | 0.58 | Potential to considerably accelerate |
| Direct Instruction | 0.56 | Potential to considerably accelerate |
| Inquiry-based teaching | 0.49 | Potential to accelerate |
| Exposure to reading | 0.48 | Potential to accelerate |
| Reading strategies | 0.47 | Potential to accelerate |
| Feedback from student re quality | 0.47 | Potential to accelerate |
| Feedback from tests | 0.41 | Potential to accelerate |

### 5.2 Deep Learning strategies (pair with Connect)

| Influence | Effect size (d) | Impact |
| --- | --- | --- |
| Cognitive task analysis | 1.09 | Potential to considerably accelerate |
| Jigsaw Method | 0.92 | Potential to considerably accelerate |
| Constructivist teaching | 0.90 | Potential to considerably accelerate |
| Feedback timing | 0.89 | Potential to considerably accelerate |
| Argumentation | 0.86 | Potential to considerably accelerate |
| Outlining and organizing | 0.86 | Potential to considerably accelerate |
| Effort management | 0.77 | Potential to considerably accelerate |
| Evaluation and reflection | 0.75 | Potential to considerably accelerate |
| Elaboration and organization | 0.72 | Potential to considerably accelerate |
| Learning strategies | 0.67 | Potential to considerably accelerate |
| Alternative assessment methods | 0.66 | Potential to accelerate |
| Feedback tasks and processes | 0.63 | Potential to considerably accelerate |
| Inductive teaching | 0.60 | Potential to accelerate |
| Design thinking | 0.51 | Potential to accelerate |

### 5.3 Transfer Learning strategies (pair with Extend)

| Influence | Effect size (d) | Impact |
| --- | --- | --- |
| Collective teacher efficacy | 1.01 | Potential to considerably accelerate |
| Virtual Reality in Languages | 0.93 | Potential to considerably accelerate |
| Jigsaw Method | 0.92 | Potential to considerably accelerate |
| Mathematics problem solving | 0.88 | Potential to considerably accelerate |
| Blended learning | 0.85 | Potential to considerably accelerate |
| Virtual Reality in Science | 0.80 | Potential to considerably accelerate |
| Transfer strategies | 0.75 | Potential to considerably accelerate |
| Acceleration programs | 0.55 | Potential to considerably accelerate |

### 5.4 How to read effect sizes

- **d < 0.20** — developmental effect; probably not worth class time
- **d = 0.20 to 0.39** — teacher effect, typical of any instruction
- **d = 0.40 to 0.59** — zone of desired effects; one year's growth
- **d = 0.60 to 0.79** — potential to accelerate
- **d ≥ 0.80** — potential to considerably accelerate

The hinge point of d = 0.40 is the threshold below which a strategy is doing less than business-as-usual instruction would do anyway. When you have a choice between two strategies, pick the one with the higher effect size and the lower implementation cost, then verify the result with your own students.

### 5.5 The Jigsaw Method, all three phases

Notice that the Jigsaw Method (d = 0.92) appears in all three phases. That is unusual and worth noting. When you build a lesson around expert groups teaching each other and then returning to home groups to integrate, you give every student a turn to articulate, connect, and extend within a single class period. Jigsaw is one of the most efficient ACE-aligned routines you can run.

---

## 6. Best Practices for Prompt Development (with Generative AI)

Teaching ACE in an AI-rich classroom means modeling how to prompt AI well. A student who can write a precise prompt and then ACE the result has used AI as a thinking partner, not a substitute. Below is a synthesis of the best practices Miguel Guhlin teaches in PRISM, RETO, PREPARE, and the Meta-Prompt Analysis Rubric (MPAR).

### 6.1 The twelve components of a strong prompt (MPAR)

A prompt earns the highest score on the MPAR when it specifies each of these:

1. **Role assignment.** Define the AI's persona or expertise. *Example:* "As an experienced fourth-grade science teacher..."
2. **Goal setting.** State a clear objective. *Example:* "...write three sentence stems that help a student articulate photosynthesis in their own words."
3. **Background information.** Provide necessary context. *Example:* "The students have just finished a unit on plant parts and are weak on the role of chlorophyll."
4. **Clarity.** Make the request unambiguous. Cut every word that could be read two ways.
5. **Task breakdown.** Divide a complex request into subtasks. *Example:* "First, list the stems. Second, rate each by accessibility. Third, suggest a follow-up question."
6. **Boundaries.** State what to include and exclude. *Example:* "Do not use jargon above grade-four reading level. Do not introduce light wavelengths."
7. **Output structure.** Specify the format. *Example:* "Return a markdown table with columns: Stem, Reading Level, Follow-Up Question."
8. **Scope.** Indicate response length. *Example:* "Limit to six stems."
9. **Exemplification.** Provide examples or samples. *Example:* "Here is one stem to model the style: 'In your own words, photosynthesis is...'"
10. **Flexibility.** Leave room for creativity where appropriate. *Example:* "Feel free to suggest a metaphor I have not used."
11. **Feedback loop.** Ask for output evaluation. *Example:* "After listing the stems, rate them on a one-to-five scale for grade-four readability."
12. **Troubleshooting.** Guide error handling. *Example:* "If you cannot find a developmentally appropriate metaphor, say so and ask for more context."

### 6.2 Prompt patterns aligned to ACE

The ACE structure itself is a prompt pattern you can teach students to use with any AI tool.

**Articulate pattern.** Ask the AI to explain something at your level, then check whether you can re-explain it without the screen.

> "Explain ___ in three sentences a sixth grader could understand. Use one everyday example. Then ask me a question to check whether I understood."

**Connect pattern.** Ask the AI to help you connect a new idea to something you already know.

> "You already know ___. You are learning ___. List three ways the new idea connects to what you already know, and one way it is different. Then ask you which connection is strongest."

**Extend pattern.** Ask the AI to help you generate a transfer task you can actually carry out.

> "You learned ___ in class today. Suggest three problems from your own life or community where you could test or apply this idea. For each, list what you would measure and what would count as evidence."

### 6.3 The PREPARE framework for educator prompts

When you write a prompt for your own teacher work (lesson plans, rubrics, parent letters), use PREPARE:

- **P — Persona.** Who should the AI be?
- **R — Role of the user.** Who are you, and what is your context?
- **E — Expected output.** What format, length, and style?
- **P — Parameters.** What constraints, exclusions, or requirements?
- **A — Audience.** Who will read or use the output?
- **R — References.** What sources, standards, or examples should ground the response? (For Texas, this is usually TEKS, STAAR, or SBEC.)
- **E — Evaluation.** How will you check the quality of the output before using it?

### 6.4 A worked prompt-development example (RETO style)

**Weak prompt:** "Make me a photosynthesis lesson."

**Stronger prompt (RETO — Role, Expectation, Task, Output):**

> "As a fourth-grade Texas science teacher aligned to TEKS 4.10A, design a forty-five-minute lesson that brings students from a uni-structural to a multi-structural understanding of photosynthesis. Open with a three-minute Articulate prompt using the sentence stem 'In your own words, plants eat sunlight by...' Include a ten-minute Direct Instruction segment (d = 0.56) and a fifteen-minute Jigsaw Method activity (d = 0.92). Close with an exit ticket that asks each student to connect photosynthesis to one plant in their own home. Output the lesson as a markdown document with sections for Objective, Materials, Procedure, Assessment, and Differentiation. Cap the lesson at 600 words."

This prompt is grounded in standards, names two high-effect strategies, anchors them to ACE, and constrains output. The teacher receives a usable artifact and can then evaluate it against the MPAR or the TCEA style guide.

### 6.5 Verifying AI output before classroom use

Always check AI output against three filters before classroom use:

1. **Accuracy.** Does the content match the standard you are teaching? Does it match what reliable sources say? Spot-check facts.
2. **Alignment.** Does it match the SOLO level you intended? An AI will often default to multi-structural prose even when you asked for uni-structural simplicity.
3. **Appropriateness.** Is it readable at the right grade level, bias-free, and consistent with district policy?

---

## 7. Classroom Protocol: How to Run ACE in Thirty Seconds

The whole point of ACE is that you can teach the routine in half a minute. Here is the script.

**Setup, twenty seconds.** "When you finish anything in this class, you are going to ACE it. A is articulate. Say what it is in your own words. C is connect. Show how it fits with something you already know. E is extend. Use it on something new."

**First model, ten seconds.** Pick any concept you taught in the last week. Articulate it in your own words. Connect it to something the class already knows. Extend it to a question you are still curious about. Done.

**Run ACE at three moments.**

1. **Exit ticket.** Three lines, one per ACE step.
2. **Conferring.** During independent work, sit beside one student and ask the three questions out loud.
3. **Parent check-in.** Send the script home so parents can ask the same three questions at homework time.

**The thirty-second variant for parents.** "When your child shows you what they did, ask them three things. Tell me what this is in your own words. How does this connect to something you already know? Where else could you use this? If they can answer all three, they own the work, regardless of whether AI helped them produce it."

---

## 8. Worked Lessons Across Subjects

### 8.1 Grade three reading

**Concept:** Cause and effect in a short story.

- **Articulate.** "In your own words, what happened in the story, and what caused it?"
- **Connect.** "When have you seen one thing cause another thing in your own life? How is that like the story?"
- **Extend.** "Make up a new ending. What would change if the main character had done one thing differently?"

**Strategies to pair.** Direct Instruction (d = 0.56), reading strategies (d = 0.47) for Articulate; argumentation (d = 0.86) for Connect; transfer strategies (d = 0.75) for Extend.

### 8.2 Grade five mathematics

**Concept:** Fractions as equal parts of a whole.

- **Articulate.** "Describe a fraction using something in your kitchen."
- **Connect.** "How is one-half of a pizza the same as four-eighths? Why does that work?"
- **Extend.** "Design a snack you would split fairly among five friends. Show the fractions and prove that each share is equal."

**Strategies to pair.** Jigsaw Method (d = 0.92), retrieval practice (d = 0.63) for Articulate; cognitive task analysis (d = 1.09) for Connect; mathematics problem solving (d = 0.88) for Extend.

### 8.3 Grade seven Texas history

**Concept:** The causes of the Texas Revolution.

- **Articulate.** "Name one reason settlers wanted independence, and put it in your own words."
- **Connect.** "How did the Mexican government's policy changes connect to the settlers' grievances? What is the bigger picture?"
- **Extend.** "Find a current news story where a group is upset because the rules changed mid-stream. Compare it to the Texas Revolution."

**Strategies to pair.** Flipped Classroom (d = 0.58) for Articulate; argumentation (d = 0.86), constructivist teaching (d = 0.90) for Connect; transfer strategies (d = 0.75) for Extend.

### 8.4 High school biology

**Concept:** Natural selection.

- **Articulate.** "Explain natural selection in your own words. Use one example from an animal you have seen this week."
- **Connect.** "How does natural selection connect to antibiotic resistance you have read about in the news? Why does that work?"
- **Extend.** "Design a thought experiment to predict what would happen to a peppered moth population in a city that switched from coal heating to solar power. What would you measure?"

**Strategies to pair.** Direct Instruction (d = 0.56) for Articulate; constructivist teaching (d = 0.90), argumentation (d = 0.86) for Connect; design thinking (d = 0.51), transfer strategies (d = 0.75) for Extend.

### 8.5 High school English Language Arts

**Concept:** Rhetorical appeals (ethos, pathos, logos).

- **Articulate.** "In your own words, what is each appeal? Give one example from a TikTok or commercial you saw this week."
- **Connect.** "How do speakers combine ethos, pathos, and logos to be persuasive? Pick a speech and find all three."
- **Extend.** "Write a one-minute persuasive video script for a cause you care about. Mark where each appeal appears, and explain why you used it there."

**Strategies to pair.** Direct Instruction (d = 0.56) for Articulate; argumentation (d = 0.86) for Connect; transfer strategies (d = 0.75), design thinking (d = 0.51) for Extend.

### 8.6 Career and Technical Education (CTE), high school

**Concept:** Customer service in a retail simulation.

- **Articulate.** "In your own words, what is good customer service? Give one example from a place you have shopped."
- **Connect.** "How does good customer service connect to brand loyalty and business outcomes? Why does that work?"
- **Extend.** "Roleplay a difficult customer interaction your team has not practiced. Apply two specific techniques and reflect on what worked."

**Strategies to pair.** Flipped Classroom (d = 0.58), Direct Instruction (d = 0.56) for Articulate; constructivist teaching (d = 0.90) for Connect; transfer strategies (d = 0.75), blended learning (d = 0.85) for Extend.

---

## 9. Assessment Rubric: Did the Student ACE It?

Use this rubric to judge whether a student owns the concept, regardless of how the surrounding product was made.

| Criterion | 1 — Surface only | 2 — Approaching | 3 — Owns it |
| --- | --- | --- | --- |
| Articulate | Restates definition word-for-word; cannot rephrase | Rephrases partially; uses one own-life example | Explains clearly in their own words; uses a personal example that fits |
| Connect | Lists facts; no linking | Links two facts but cannot say why | Explains why the connection works; cites evidence or mechanism |
| Extend | Cannot apply outside the lesson | Applies to a similar problem with prompting | Applies to a novel, self-chosen problem; generates a testable prediction |

**Interpretation.** If a student scores three on all three rows, they own the concept. If their product (essay, slide deck, infographic, video) is qualitatively above their ACE score, Generative AI did more of the cognitive work than they did. The instructional response is to scaffold the weakest stage, not to accuse the student of cheating.

---

## 10. Pacing Guide: A Two-Week Introduction

If you want to introduce ACE intentionally rather than on the fly, here is a two-week pacing guide.

### Week one: Build the routine

- **Day one.** Teach ACE in thirty seconds. Model with one concept from any subject.
- **Day two.** Run an Articulate-only exit ticket. Read aloud three strong examples the next morning.
- **Day three.** Add Connect. Use the sentence stems on the wall.
- **Day four.** Add Extend. Cap student responses at one sentence each so the routine feels easy.
- **Day five.** Run a full ACE exit ticket. Score one class set against the rubric. Identify which stage needs the most scaffolding next week.

### Week two: Pair with high-effect strategies

- **Day six.** Use the Jigsaw Method (d = 0.92) for a concept you want students to Articulate and Connect in the same session.
- **Day seven.** Use cognitive task analysis (d = 1.09) as a Connect scaffold. Break the concept into its operational steps and have students re-narrate them.
- **Day eight.** Use argumentation (d = 0.86) to push Connect into Extend. Students take a position and defend it with evidence.
- **Day nine.** Use a transfer task (d = 0.75) for Extend. The task must be one the lesson did not assign.
- **Day ten.** Score a class set against the rubric. Send the parent script home for the weekend.

---

## 11. Parent Script (Send Home)

> Your child is learning a routine called ACE. It stands for Articulate, Connect, Extend.
>
> At homework time, you can use it in three questions. They take less than a minute.
>
> 1. **Tell me what this is in your own words.** Use something from your life.
> 2. **How does this connect to something you already know?** Why does that work?
> 3. **Where else could you use this idea?** Try it on something new.
>
> If your child can answer all three, they own the work, regardless of whether AI helped them produce it. If they stall on one question, that is where they need more practice. You do not need to be the expert on the subject. You only need to ask the three questions.
>
> Thank you for partnering with us.

---

## 12. Differentiation Notes

**For multilingual learners.** Allow articulation in the home language first, then in English. Provide sentence stems in both languages. Accept drawings, photos, or voice recordings as articulation evidence; the goal is to capture thinking, not language production. Pair captions and subtitles (d = 0.91) with any video used to introduce the concept.

**For students with IEPs.** Reduce the ACE step count if needed. Run Articulate-only for a week before adding Connect. Use visual organizers (concept maps for relational; comparative maps such as Venn diagrams for extended abstract). Provide AI-generated examples at the right level as scaffolds, then have the student rephrase them.

**For advanced learners.** Push Extend harder. Require a testable prediction, a measurement plan, or a real-world product. Pair with design thinking (d = 0.51) and transfer strategies (d = 0.75). Ask "what would falsify your idea?" as the next question after Extend.

**For Gen-AI-confident students.** Require them to show the prompt they used, the output they received, and an ACE of the underlying concept. This is the "prompt-and-receipts" practice. It treats AI as a tool the student is accountable for.

---

## 13. Do and Don't List

**Do:**

- Teach ACE in thirty seconds, then use it every day for a week
- Pair each step with strategies at d ≥ 0.40
- Use ACE conversationally during conferring, not only as written exit tickets
- Send the parent script home and model it once at back-to-school night
- Score student responses against the ACE rubric, not against the polish of the artifact

**Don't:**

- Accuse students of using AI based on artifact quality alone; let ACE surface the gap instead
- Skip Articulate to save time; it is the diagnostic step
- Pair ACE with low-effect strategies (d < 0.40) and expect a year's growth
- Default to AI-generated stems and forget the ones your students have already practiced with
- Treat the rubric as a gotcha; treat it as a map of where to scaffold next

---

## 14. Frequently Asked Questions

**Is ACE a replacement for SOLO Taxonomy or Visible Learning?**

No. ACE is a shorthand routine that sits on top of them. SOLO and Visible Learning remain the underlying research base. ACE is the version you teach in thirty seconds and the version a parent can run at the kitchen table.

**Does ACE work in every subject?**

Yes. It works any time you want to know whether a student owns an idea. It does not depend on subject area, grade level, or whether AI was used in producing the artifact.

**Do you need AI to use ACE?**

No. ACE predates and outlasts any specific Generative AI tool. It is a sense-making routine that happens to be especially useful in AI-rich classrooms because it surfaces what a student actually understands.

**How long until students internalize ACE?**

Most classes have the vocabulary in a week and the habit in three weeks. After that, students start ACE-ing each other in peer review without prompting. That is the signal that the routine has taken root.

**What if a student articulates well but cannot extend?**

That is useful information. It means the concept has reached relational status (Deep Learning) but has not transferred. Pair with transfer strategies (d = 0.75), problem-based teaching, and design thinking (d = 0.51). Provide a novel problem the student selects.

**What if AI generates strong ACE-shaped responses?**

It will. Move the routine to live conversation. A student who can ACE a concept verbally, on the spot, with their own examples, is not relying on an AI assist. That is the gold standard.

---

## 15. Sources and Further Reading

- Guhlin, M. (2026, June 8). **ACE It: Three Steps from Surface to Transfer Learning**. TCEA Blog.
- Biggs, J. and Collis, K. (1982). **Evaluating the Quality of Learning: The SOLO Taxonomy**. Academic Press.
- Hattie, J. **Visible Learning** synthesis and the **MetaX** database, [Visible Learning Meta-X](https://www.visiblelearningmetax.com/).
- Guhlin, M. **AI and SOLO Taxonomy: A Path to Deeper Learning**, TCEA Blog.
- Guhlin, M. **The PRISM Framework** posts, TCEA Blog.
- Guhlin, M. **Teaching Oral Assessment with VIVA**, TCEA Blog.
- TCEA **Visible Learning with Ed Tech** course (twelve CPE hours, self-paced).
- TCEA Style Guide (this vault, `/style_guide.md`).

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## 16. Quick Reference Card

Print this and hand it to teachers, parents, or students.

> **ACE It.**
>
> **A — Articulate.** Say it in your own words. Use something from your life.
>
> **C — Connect.** Show how it fits with what you already know. Explain why.
>
> **E — Extend.** Use it somewhere new. Try a problem nobody handed you.
>
> If you can ACE it, you own it.
