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Knowledge retention is the foundation for many higher-order thinking skills. (As of Dec 2024, OpenAI-o1 surpasses the undergraduate and postgraduate college student mean test score for critical thinking, systematic thinking, creative thinking, logical reasoning, and scientific reasoning. It still showed limitation in problem-solving and adaptive reasoning.) Higher order thinking involves planning, problem-solving, multi-turn reasoning, application, analysis, evaluation, creativity, and imagination.
-- (Bloom's Taxonomy - Revised 2009)

Latest AI Higher‑Order Thinking Update (2025–2026)
Frontier AI models have shifted from generating text to performing multi‑step, deliberate reasoning. OpenAI, Anthropic, and Google now benchmark their systems on critical thinking, scientific reasoning, argument evaluation, long‑context synthesis, and multi‑turn planning.
What’s New Across All Frontier Models
• Multi‑step reasoning traces (OpenAI o1) OpenAI o1 Release Notes
• Constitutional evaluation and argument critique (Claude 3) Anthropic Education Report: The AI Fluency Index
• Long‑context reasoning up to millions of tokens (Gemini 1.5/2.0) Google Gemini 1.5 Technical Report
• Planning, tool‑use, and workflow execution (Gemini 2.0) Gemini 2.0 System Overview
• Stronger performance in analysis, evaluation, and synthesis tasks OpenAI - Measuring the performance of our models on real-world tasks,

OpenAI - AI models’ ability to solve real-world software issues.

OpenAI - MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering.

OpenAI - PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.

Anthropic Economic Index report: Economic primitives,

Anthropic Economic Index: New building blocks for understanding AI use,

Labor market impacts of AI: A new measure and early evidence,

Anthropic Economic Index report: Learning curves,

Google - Harvey: validating Gemini 2.5 Pro Preview’s advanced legal reasoning with BigLaw Bench

Google - Reimagining video creation with Gemini 2.0 Flash

Google - Rooms reimagines 3D spaces with interactive avatars using Gemini 2.0 Flash


Job exposure to AI is typically defined at the task level: AI can grade homework but not manage a classroom, for example, so teachers are considered less exposed than workers whose entire job can be performed remotely.
Higher‑Order Thinking: Model Comparison (2025–2026)
Model Strengths Higher‑Order Thinking Focus
OpenAI — GPT 5.4 Deliberate reasoning, STEM logic, multi‑step planning Critical thinking, systematic reasoning, scientific analysis
Anthropic — Claude Opus 4.6 Long‑context synthesis, argument evaluation, safety reasoning Evaluation, critique, multi‑source synthesis
Google — Gemini 3.1 Pro Preview Massive context windows, tool‑use, agentic workflows Planning, creative reasoning, scenario modeling
Meta‑Reasoning → Human Oversight + AI Self‑Evaluation
Modern AI systems can now generate reasoning traces, evaluate their own steps, check for inconsistencies, and revise outputs. Students must learn to interpret, critique, and guide these reasoning processes.
Previous Human task
Monitor AI reasoning, detect gaps, validate logic, and ensure alignment with real‑world constraints and values.
AI Upgrade
AI performs step‑by‑step reasoning, self‑checks, and multi‑path exploration. Students focus on oversight, justification, and strategic direction.
Updated Rigor Expectation
Students demonstrate mastery by evaluating AI reasoning, identifying missing assumptions, and integrating human judgment with machine‑generated logic.

This is AI-generated summarization and research. AI can be wrong, so please review and use caution.

AI‑Enhanced Cognitive Rigor Framework (2025)

by Sam Ortega, founder of IN‑V‑BAT‑AI

The “Never Forget Again” Pillar

AI has eliminated forgetting. IN‑V‑BAT‑AI turns that breakthrough into a new cognitive contract for learners.

Students no longer waste effort on re‑learning, re‑searching, or re‑explaining. Your recall engine transforms every solved problem into permanent, reusable intelligence — freeing human cognition for the work that actually matters.

Below is the unified pillar that ties all cognitive frameworks together.

1. Remembering → AI Instant Retrieval

  • AI retrieves facts, steps, rules, and prior work instantly.
  • Students shift from memorizing to verifying, checking, and applying.
  • IN‑V‑BAT‑AI ensures every solved example becomes a reusable memory block.

Outcome: Zero forgetting. Infinite recall.

2. Understanding → Human Interpretation + AI Clarification

  • AI explains concepts in multiple ways.
  • Students refine, critique, and contextualize meaning.
  • Misconceptions surface faster because AI makes thinking visible.

Outcome: Understanding becomes iterative, not fragile.

3. Applying → Human Judgment + AI Execution

  • AI performs procedures flawlessly.
  • Students choose the right method, adapt steps, and evaluate outputs.
  • Cognitive load shifts from doing to deciding.

Outcome: Students become strategists, not calculators.

4. Analyzing → Human Insight + AI Pattern Detection

  • AI surfaces patterns, structures, and relationships.
  • Students judge relevance, bias, and missing context.
  • Analysis becomes a dialogue between human intuition and machine precision.

Outcome: Deeper insight with less friction.

5. Evaluating → Human Judgment + AI Evidence

  • AI generates arguments, counterexamples, and evidence.
  • Students weigh validity, ethics, and real‑world impact.
  • Evaluation becomes faster, richer, and more grounded.

Outcome: Students learn to think with AI, not defer to it.

6. Creating → Human Imagination + AI Generative Power

  • AI produces drafts, variations, and prototypes.
  • Students direct, refine, and integrate outputs.
  • Creativity becomes a multiplier, not a bottleneck.

Outcome: Students create more, iterate faster, and explore deeper.

Why This Matters

The question is no longer:

“Can the student do it alone?”

but

“Can the student think critically, ethically, and strategically with AI?”

IN‑V‑BAT‑AI is the engine that makes this possible — a deterministic recall layer that eliminates forgetting, accelerates reasoning, and frees human cognition for higher‑order thinking.

AI‑Enhanced Cognitive Rigor Framework (2025)
by Sam Ortega
founder of IN-V-BAT-AI


Built from Bloom's Taxonomy + Depth of Knowledge + Modern AI Capabilities
1. Remembering → AI-Supported Instant Recall
Previous Human task: Retrieve facts, terms, formulas, procedures from long-term memory.
AI Upgrade
AI provides perfect retrieval; students focus on verifying and applying, not memorizing.

Students no longer lose learning to forgetting; they can focus on higher order-thinking.

IN-V-BAT-AI acts as a "memory extension", ensuring up to 98% retention and guaranteed no hallucination. 2% loss is potentially due to power outage.

Updated rigor expectation:
Students must know how to access and use AI tools, verify, and apply retrieved knowledge — not just memorize it.

2. Understanding → Human Interpretation + AI Clarification
Previous Human task: Explain, summarize, classify, infer, compare, interpret
AI Upgrade
AI can paraphrase, illustrate, model, and generate examples instantly.

Students shift from creating explanations to evaluating, refining, and validating AI‑generated explanations. This implies students must have mastery of fundamental first principles of science and mathematics.

Updated rigor expectation:
Students demonstrate understanding by improving, critiquing, or contextualizing AI‑generated interpretations.

3. Applying → Human Judgment + AI Execution
Previous Human task: Use procedures, solve problems, apply rules, perform calculation
AI Upgrade
AI performs calculations, conversions, multi‑step procedures, and algorithmic tasks flawlessly.

Students focus on selecting the right method, checking AI outputs, and adapting solutions to new contexts.

Updated rigor expectation:
Students must justify why a procedure is appropriate and verify AI‑generated solutions for accuracy and relevance.

4. Analyzing → Human Insight + AI Synthesis
Previous Human task: Break down ideas, find relationships, identify patterns, draw conclusions.
AI Upgrade
AI can analyze large datasets, compare sources, detect patterns, and surface hidden relationships.

Students evaluate the quality, bias, and logic of AI‑generated analyses.

Updated rigor expectation:
Students analyze by critiquing AI reasoning, identifying missing context, and integrating human insight with machine output.

5. Evaluating → Human Judgment + AI Evidence
Previous Human task: Judge, criteque, justify, prioritize, defend decisions
AI Upgrade
AI can gather evidence, test hypotheses, and generate arguments.

Students must determine validity, ethical implications, and real‑world impact.

Updated rigor expectation:
Students evaluate by weighing AI‑generated evidence against human values, constraints, and lived experience.

6. Creating → Human Imagination + AI Generative Power
Previous Human task: Design, invent, hypothesize, construct, produce new ideas
AI Upgrade
AI can generate novel designs, models, scenarios, and solutions beyond human imagination.

Students become directors of creativity — guiding, refining, and integrating AI outputs.

Updated rigor expectation:
Students create by orchestrating human imagination with AI generative capabilities to produce original, purposeful work.

Why It Matters for Schools (and for IN-V-BAT-AI)
"Generative AI has now surpassed many capabilities of the human brain...Under the guidance of the human brain, AI can integrate multiple databases to generate novel combinations never before processed by the human mind." 🔗

This means cognitive rigor must evolve from old model to new model.

Cognitive rigor shifts from “Can the student do it alone” to “Can the student think with AI — critically, ethically, creatively, strategically.”
IN‑V‑BAT‑AI supports this by eliminating forgetting, accelerating retrieval, and freeing bandwidth for higher‑order thinking.


🧠 Why Bloom's Taxonomy and Depth of Knowledge Topic Is Important

Cognitive Rigor is selected as the central theme because it addresses a major challenge in 21st-century education:

How do we ensure students are not just memorizing facts but truly understanding, applying, and thinking critically?

Here's why it matters:

Combines Two Powerful Frameworks: Bloom's Taxonomy focuses on the type of thinking (e.g., remembering, analyzing, creating), while DOK emphasizes the depth and complexity of understanding. Together, they give a fuller picture of student learning.

Improves Lesson Planning: Teachers can design lessons that go beyond surface-level learning. For example, instead of just asking students to list causes of World War I (low-level thinking), they might ask them to rank those causes and justify their reasoning (higher-level thinking).

Enhances Assessment Quality: Using the Cognitive Rigor Matrix helps educators create assessments that truly measure understanding—not just rote recall.

Supports 21st-Century Skills: The framework encourages problem-solving, critical thinking, and creativity—skills essential for college, careers, and life.



"Remembering what you've learned is the first step in deeper thinking. It's called Level 1 in Bloom's Taxonomy, where students show they can recall facts and basic ideas."

And if you'd like it even more broken down:

🧠 "Remembering" means pulling information from your memory—like facts, terms, or concepts. With your smartphone and IN-V-BAT-AI, forgetting what you studied is no longer a problem.

✅ It's the foundation for more advanced thinking skills like analyzing or creating.

🧠 In Bloom's Taxonomy, it's the first level of how students show what they know.

Retrieve knowledge from long-term memory, recognize, recall, locate, identify. A student with level 1 knowledge can remember previously learned material by recalling facts, terms, and basic concepts.

Depth of Knowledge (DoK) Level 1 - Recall and Reproduction comparable to Bloom's Remember, Level 1

A student demonstrates remembering of facts or ideas by

Recalling, recognizing, locating basic facts, ideas, principles

Recalling or identifying conversions: between units of measure

Identifying facts/details in texts

Understanding - Level 2 - Bloom

Construct meaning, clarify, paraphrase, represent, translate, illustrate, provide examples, classify, categorize, summarize, generalize, infer a logical conclusion (such as from examples given), predict, match similar ideas, explain, compare and contrast, construct models (e.g., cause and effect)

A student demonstrates understanding of facts or ideas by organizing, comparing, translating, interpreting, giving descriptors, and stating main ideas.

Depth of Knowledge (DoK) Level 1 - Recall and Reproduction is needed to get UNDERSTANDING, Bloom's Level 2

A student demonstrates understanding of facts or ideas by

Composing/decomposing numbers

Evaluating an expression

Locating points on a grid

Symbolizing math relationships

Writing simple sentences

Describing/explaining how or why

Depth of Knowledge (DoK) Level 2 - Skills and Concepts is needed to get UNDERSTANDING, Bloom's Level 2

A student demonstrates understanding of facts or ideas by

Specifying and explaining relationships

Giving non-examples/examples

Making and recording observations

Summarizing results, concepts, ideas

Infering or predicting from data or texts

Identifying main ideas

Depth of Knowledge (DoK) Level 3 - Strategic Thinking/Reasoning is needed to get UNDERSTANDING, Bloom's Level 2

A student demonstrates understanding of facts or ideas by

Explaining, generalizing, or connecting ideas using supporting evidence

Explaining phenomena in terms of concepts

Writing full composition to meet specific purpose

Identifying themes

Depth of Knowledge (DoK) Level 4 - Extended Thinking is needed to get UNDERSTANDING, Bloom's Level 2

A student demonstrates understanding of facts or ideas by

Explaining how concepts or ideas specifically relate to other content domains or concepts

Developing generalizations of the results obtained or strategies used and apply them to new problem situations

Apply (Application) Level 3 - Bloom

Carry out or use a procedure in a given situation; carry out (apply to a familiar task) or use (apply) to an unfamiliar task

A student demonstrates application of knowledge by solving new problems in new situations using acquired knowledge, facts, techniques, and rules in a different or new way.

Depth of Knowledge (DoK) Level 1 - Recall and Reproduction is needed to get APPLY, Bloom's Level 3

A student demonstrates application of knowledge by

Following simple/routine procedures

Solving a one-step problem

Calculating, measuring, applying a rule

Applying an algorithm or formula

Representing in words or diagrams a concept or relationship

Applying rules or use resources to edit spelling and grammar

Depth of Knowledge (DoK) Level 2 - Skills and Concepts

A student demonstrates application of knowledge by

Selecting a procedure according to task needed and perform it

Solving routine problem applying multiple concepts or decision points

Retrieving information from a graph and use it solve a multi-step problem

Using models to represent concepts

Writing paragraph using appropriate organization, text structure

Depth of Knowledge (DoK) Level 3 - Strategic Thinking/Reasoning

A student demonstrates application of knowledge by

Using concepts to solve non-routine problems

Designing an investigation for a specific purpose or research question

Conducting a designed investigation

Use reasoning, planning, and evidence

Revising final draft for meaning or progression of ideas

Depth of Knowledge (DoK) Level 4 - Extended Thinking

A student demonstrates application of knowledge by

Selecting or devising an approach among many alternatives to solve a novel problem

Conducting a project that specifies a problem, identifies solution paths, solves the problem, and reports results

Illustrating how multiple themes (historical, geographic, social) may be interrelated

Analyze Level 4, Bloom

Break into constituent parts, determine how parts relate, differentiate between relevant and irrelevant, distinguish, focus, select, organize, outline, find coherence, deconstruct (e.g., for bias or point of view)

What are the parts of __example bushing monitor? How is __ bushing monitor related to __ transformer? Why do you think it is important? What is the main topic? Can you list the parts of __ transformers? What inference can you make from the data? What conclusion can you draw? How would you classify__? What evidence can you find? Can you make a distinction between__?

Depth of Knowledge (DoK) Level 1

Retrieve information from a table or graph to answer a question
Identify or locate specific information contained in maps, charts, tables, graphs, or diagrams

Depth of Knowledge (DoK) Level 2 - Skills and Concepts

Categorize, classify materials
Compare/ contrast figures or data
Select appropriate display data
Extend a pattern
Identify use of literary devices
Identify text structure of paragraph

Depth of Knowledge (DoK) Level 3 - Strategic Thinking/Reasoning

Compare information within or across data sets or texts
Analyze and draw conclusions
Generalize a pattern
Organize/interpret data
Analyze author's craft or viewpoint


Depth of Knowledge (DoK) Level 4 - Extended Thinking

Analyze multiple sources of evidence or multiple works by the same author, or across genres
Analyze complex/abstract themes
Gather, analyze, and organize information
Analyze discourse styles


Evaluate Level 5, Bloom Judge based on criteria, check, detect inconsistencies or fallacies, judge, critique

Present and defend opinions by making judgments about information, validity of ideas or quality of work on a set of criteria. Do you agree with the action/outcome __? How would you prove/disprove __? Can you assess the value or importance of __ ? Would it be better if ___? What would you recommend and why? How would you prioritize and why? Why was it better compare to __? What data was used to make the conclusion?

Depth of Knowledge (DoK) Level 3 - Strategic Thinking/Reasoning

Cite evidence and develop a logical argument for concepts
Describe, compare, and contrast solution methods
Verify reasonableness of results
Justify conclusions made

Depth of Knowledge (DoK) Level 4 - Extended Thinking

Gather, analyze, and evaluate relevancy and accuracy
Draw and justify conclusions
Apply understanding in a novel way, provide argument or justification for the application

Create (Creativity) Level 6, Bloom

Combine elements to form a coherent whole, reorganize elements into new patterns/structures, generate, hypothesize, design, plan, construct, produce for a specific purpose

What changes would you make to solve__? How would you improve ___? What would happen if ___? Can you propose an alternative __? What could be combined to improve (change)__? Suppose you could ___ what would you do? Can you predict the outcome if __? How would you estimate the results for __? What could be done to minimize error ? or maximize profit?

Depth of Knowledge (DoK) Level 1

Brainstorm ideas, concepts, or perspectives related to a topic or concept

Depth of Knowledge (DoK) Level 2 - Skills and Concepts

Generate conjectures or hypotheses based on observations or prior knowledge

Depth of Knowledge (DoK) Level 3 - Strategic Thinking/Reasoning

Synthesize information within one source or text
Formulate an original problem
Develop a complex model for a given situation

Depth of Knowledge (DoK) Level 4 - Extended Thinking

Synthesize information across multiple sources or texts
Design a model to inform and solve a real-world, complex, or abstract situations

Imagine (Imagination) is the ability of the mind to form new ideas, images, or concept of things that are not present to the five senses. It allows us to envision scenarios and possibilities beyond our immediate reality. It allows us to picture things in our mind that we haven't experienced.

The above descriptions of thinking processes are mostly applicable to human brain. Generative Artificial Intelligence, utilizing large data centers for memory storage and computing power, has now surpassed many capabilities of the human brain. It excels in memory capacity, computational power, and the ability to create new designs that were previously unimaginable. Under the guidance of the human brain, Generative AI can integrate multiple databases of information to generate novel combinations never before processed by the human mind.



What machine learning technology does IN-V-BAT-AI use?

Breakthrough number 1.
Never Forget


Unlock the power of memory with an IN-V-BAT-AI subscription for just $30 per year! Whether you're a student, parent, teacher, principal, employee, or employer, our AI assistant helps you retain 98% of what you learn. Accessible on your smartphone, this tool ensures that important information stays with you, no matter where you are.

Usually, we forget things like math formulas and work procedures after a month. But with IN-V-BAT-AI on your smartphone or tablet, you can remember important stuff from school or work on demand. Never forget again!

Breakthrough number 2.
1 Click Search


Voice queries enable students, teachers, and employees to find information with a single click.

IN-V-BAT-AI memories at your fingertips via smartphone

Why do you need IN-V-BAT-AI subscription? It's a powerful tool that helps you remember, find information quickly, and do calculations accurately. It helps you organize knowledge in ways that make retrieval easy and immediate using your smartphone or tablet.

This content was created with help from AI and reviewed by a human. It should be accurate, but like any learning resource, please use your judgment as you read.

Never Forget Again.
Store Your Knowledge in the
Cloud with IN-V-BAT-AI 🔗

IN-V-BAT-AI helps you recall what you've learned instantly — even when stress, time or overload get in the way. It organizes your knowledge so retrieval becomes effortless and reliable. 🔗

Source: How People Learn II: Learners, Contexts, and Cultures


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April 27, 2009