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Use Pedagogical Assessment Prover with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. A curriculum listed 12 learning objectives. Every one used 'understand'. an unmeasurable verb. Pedagogical Assessment Prover forces Bloom's-aligned objectives,

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

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Complete set · 1 capability

The complete Pedagogical Assessment Prover capability set.

These are the exact actions your AI can choose when you ask it to work with Pedagogical Assessment Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Pedagogical Assessment Prover.

  1. 01

    Validate pedagogical assessment

    You must: (1) state learning OBJECTIVES using observable Bloom's verbs at the correct cognitive level. "understand" is not observable, "evaluate" is. Verb + content + condition, (2) design ASSESSMENT tasks that match the objective's cognitive demand. if the objective says "analyze," the assessment must require analysis, not recall, (3) provide explicit RUBRIC criteria. observable, measurable, distinct performance levels, shared with learners BEFORE assessment. If students do not know how they will be graded, they cannot target their learning, (4) design SCAFFOLDING. diagnose prior knowledge, identify prerequisites, graduated release (I do → We do → You do), multiple representations per UDL, (5) plan FEEDBACK per Hattie: Feed Up + Feed Back + Feed Forward. Task-specific, process-oriented, forward-looking. Not praise, not criticism, (6) AUDIT for bias. cultural, linguistic, accessibility. Not "it is fair". a structured analysis with specific mitigations. If rejected, the pedagogical design has a structural deficiency. Fix before implementing. Structured reflection capability for pedagogical reasoning and assessment design. forces Bloom's taxonomy alignment, explicit rubric construction, scaffolded instruction design, Hattie-model feedback planning, and systematic bias auditing before any educational assessment, lesson plan, or instructional intervention ships. Grounded in Bloom's Revised Taxonomy, Vygotsky's ZPD, Hattie & Timperley (2007), and Universal Design for Learning (UDL). Catches Taxonomy Misalignment (objective says one cognitive level, assessment tests another. objective: "Students will EVALUATE competing hypotheses about climate change." Evaluate = Bloom's Level 5 (highest analytical level). Assessment: a 40-question multiple-choice test asking "Which gas is the primary greenhouse gas?" This tests REMEMBER (Level 1), not EVALUATE (Level 5). The students who can recall facts but cannot construct an evidence-based argument score 95%. The students who can evaluate but struggle with recall score 60%. The assessment measures the wrong skill. it is structurally invalid. If the objective says "evaluate," the assessment must require students to compare, weigh evidence, and defend a position. not select from predetermined answers), Rubric Absent (grading without shared, explicit criteria. "I'll know good work when I see it" is not assessment. it is subjectivity. Two teachers grade the same essay. Teacher A: 82%. Teacher B: 67%. Neither is wrong. they simply weighted different things. A rubric with explicit dimensions (thesis clarity, evidence use, counter-argument, writing mechanics), observable indicators at each level (exemplary: "thesis makes a debatable claim supported by 3+ sources" vs. developing: "thesis restates the prompt"), and shared with students BEFORE the assignment. that produces inter-rater reliability > 0.85 and student performance gains of d = 0.70 (Hattie). Without it, grades measure the teacher, not the student), Scaffolding Gap (teaching at the target level without bridging from prior knowledge. Vygotsky's Zone of Proximal Development: learning happens between what a student can do alone and what they can do with guidance. Teaching ABOVE the ZPD produces frustration. Teaching BELOW produces boredom. A physics teacher assigns orbital mechanics problems to students who have not yet mastered vector addition. 40% of students fail. not because they cannot learn orbital mechanics, but because they are missing the prerequisite. Graduated release: I do (model) → We do (guided) → You do (independent). Multiple representations: diagram + equation + verbal explanation + simulation), Feedback Vacuum (empty praise or criticism instead of actionable guidance. "Good job!" has an effect size of d = 0.09. nearly zero impact on learning. "Your thesis identifies the claim but lacks the counter-argument required by the rubric. Review the opposing evidence in Source 3 and add a paragraph addressing it". that is task-specific, process-oriented, forward-looking feedback (d = 0.70). Hattie & Timperley (2007): Feed Up (where am I going?), Feed Back (how am I doing?), Feed Forward (where to next?). "Needs improvement" answers none of these questions), and Bias Blind (assessment that systematically disadvantages specific learner groups. a science assessment uses a baseball scenario to test physics (trajectory, velocity). Students familiar with baseball (predominantly US, male, middle-class) outperform students unfamiliar with the sport. not because of physics knowledge, but because of cultural context familiarity. The assessment measures cultural exposure, not scientific understanding. Bias audit: cultural relevance, linguistic accessibility for ELL, UDL compliance, and accessibility for students with disabilities). Call once per assessment, lesson plan, or educational intervention design

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Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Pedagogical Assessment Prover, so you can see the experience inside your AI.

It does not authenticate your account with Pedagogical Assessment Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pedagogical Assessment Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UeUp8EssFpuILTSEeOoXEkZc4SyrBn8H3T9iKl17/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pedagogical Assessment Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pedagogical-assessment-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UeUp8EssFpuILTSEeOoXEkZc4SyrBn8H3T9iKl17/mcp"
    }
  }
}
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Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Pedagogical Assessment Prover owners ask.

  • 01

    How does the prover measure alignment with Bloom's Taxonomy?

    By verifying that learning objectives use observable verbs at the same cognitive level as the assessment tasks. It rejects unmeasurable verbs like 'understand' or 'appreciate'.

  • 02

    What are the scaffolding requirements?

    It demands a clear plan for diagnosing prior knowledge, sequencing prerequisite concepts, and scaffolded instruction models (like the Graduated Release of Responsibility) rather than just giving extra practice sheets.

  • 03

    How does it detect and audit for bias?

    It scans assessment descriptions and rubrics for cultural assumptions, language barriers, and accessibility issues, ensuring compliance with Universal Design for Learning (UDL) principles.