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Certificate in Chapter2 Mastery

Structured Curriculum, Practice Manual & Certification Framework — Curriculum Version 1.0

CCMCertificationProfessional / Postgraduate4 weeks (28 calendar days) · 12 live labs + 12 practice days + capstoneSelf-paced / Hybrid / Instructor-led

Programme overview

A four-week programme training researchers, postgraduate students, research assistants and academic service providers to operate every module of the Chapter2ai platform to a professional standard. Learning follows a fixed alternate-day cycle: a 120-minute live hands-on lab where the facilitator demonstrates on a live project and trainees replicate step by step; 60–90 minutes of guided practice on the trainee's own running-case project; a 30–45 minute structured practice report (screenshots, outputs, credits consumed, errors, reflection); and a 15-minute public feedback and correction session where the graded rubric is released. Chapter2 keeps the researcher in charge of discovery: the researcher leads the search and personally curates the literature they work with, inside a verifiable, source-backed vault — evidence you control, not AI output you must audit after the fact.

Purpose

To move practitioners from platform awareness to deep, evidenced competency across the full research lifecycle — and, for those who wish, into licensed professional practice as a Certified Chapter2 Agent.

Learning outcomes

  • Operate the complete Chapter2 research lifecycle — literature mining through export-ready thesis or article
  • Conduct systematic, reproducible literature discovery, screening and vault curation
  • Prepare, clean, reshape and validate research data; select statistically defensible tests
  • Execute quantitative, qualitative and mixed-methods analyses to publication quality
  • Generate and quality-assure AI-assisted academic text under the citation contract
  • Interpret academic-integrity reports and remediate flagged passages ethically
  • Manage projects, workspaces, templates, groups, credits and storage efficiently
  • Deliver Chapter2-based professional services and training within an ethical framework

Curriculum

Week 1 — Foundations & Literature Intelligence (S1–S3). Week 2 — Research Data: Preparation & Quantitative Analysis (S4–S6). Week 3 — Qualitative, Mixed Methods & Results Communication (S7–S9). Week 4 — Academic Writing, Integrity & the Agent Business (S10–S12).

Module 1

Platform Orientation and Settings

Getting set up: accounts, workspaces, projects, settings and research ethics controls across the platforms.

  1. M1 — Platform Orientation and Settings · Getting set up: accounts, workspaces, projects, settings and research ethics controls across the platforms.

Module 2

Research Studio I — Literature

Platform fluency, project governance, systematic literature mining and vault curation (S1–S3).

  1. S1 — Research Studio- Literature Search, Library, Knowledge graph, Gap Analysis, research design and Literature review · Module weight 10%. Practice day: workspace setup on own topic. · 120 min

Module 3

Research Studio II — Quantitative Data Analysis

Data importing, AI preprocessing, wide-to-long reshaping, test selection and statistical execution (S4–S6).

  1. S4 — Research Studio II — Quantitative Data Analysis · Module weight 8%. Practice day: clean two messy datasets. · 120 min

Module 4

Research Studio III — Qualitative and Mixed Method Data Analyses

Transcription, coding, themes, mixed-methods integration, results tables/figures and discussion (S7–S9).

  1. S7 — Research Studio III — Qualitative and Mixed Method Data Analyses · Module weight 8%. Practice day: transcribe and code two sources. · 120 min

Module 5

Research Studio IV — Writing Modules

Thesis and journal-article production, integrity verification, service delivery and licensing (S10–S12).

  1. S10 — Research Studio IV — Writing Modules Drafting, structure, argumentation and responsible AI use in academic writing. · Module weight 8%. Practice day: compile full thesis draft. · 120 min

Module 6

Research Kits and Templates Upload

Building, uploading and packaging research kits, templates and deliverables.

  1. M6 — Research Kits and Templates Upload · Building, uploading and packaging research kits, templates and deliverables.

Module 7

Send-forth Session

Closing session: portfolio review, general CBT examination briefing and professional next steps.

  1. M7 — Send-forth Session · Closing session: portfolio review, general CBT examination briefing and professional next steps.

Assessment

Continuous weekly assessment plus a computer-based test. Each week learners submit one combined package containing their practice exercises and the capstone deliverables for that week, and both are marked together. Weighting: weekly practice exercises 25%, capstone packages 30%, computer-based test (CBT, options A-D) 30%, attendance & participation 10%, professional ethics 5%. An optional bonus report can add up to 15 points, with the final mark capped at 100%. Every submission follows the published marking guide for that week; AI-assisted marking is reviewed by the instructor, who confirms or overrides the score before results are released.

Certification

Award grades: Distinction 80-100% (fast-track licensing), Merit 70-79% (full Chapter2 Agent licence), Pass 60-69% (provisional licence, 90 days), Referred 45-59% (resubmit within 30 days), Fail below 45% (must re-enrol). Mandatory minimums: at least 3 of the 4 weekly practice packages scored 2/4 or above, all 4 capstone packages submitted, at least 50% on the computer-based test, at least 60% on professional ethics (non-compensable) and at least 10 live sessions attended. Certificate issued by Chapter2ai Academy, valid 24 months, renewable.