Certificate in Chapter2 Mastery
Structured Curriculum, Practice Manual & Certification Framework — Curriculum Version 1.0
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).
Week 1
Foundations & Literature Intelligence
Platform fluency, project governance, systematic literature mining and vault curation (S1–S3).
- S1 — Platform Orientation & Workspace Governance · Module weight 10%. Practice day: workspace setup on own topic. · 120 min
- S2 — Literature Mining I — Search, Screening, Vault · Module weight 8%. Practice day: build a 40-paper screened vault. · 120 min
- S3 — Literature Mining II — Import, Gaps, Review Draft · Module weight 8%. Practice day: review draft + citation audit. · 120 min
Week 2
Research Data: Preparation & Quantitative Analysis
Data importing, AI preprocessing, wide-to-long reshaping, test selection and statistical execution (S4–S6).
- S4 — Data Importer & AI Preprocessing Layer · Module weight 8%. Practice day: clean two messy datasets. · 120 min
- S5 — Data Structure, Reshaping & Test Selection · Module weight 8%. Practice day: reshape + assumption checks. · 120 min
- S6 — Quantitative Analysis & Advanced Models · Module weight 8%. Practice day: full analysis — 3 tables, 2 figures. · 120 min
Week 3
Qualitative, Mixed Methods & Results Communication
Transcription, coding, themes, mixed-methods integration, results tables/figures and discussion (S7–S9).
- S7 — Qualitative I — Sources, Transcription, Coding · Module weight 8%. Practice day: transcribe and code two sources. · 120 min
- S8 — Qualitative II — Themes & Mixed-Methods · Module weight 8%. Practice day: thematic report + integration. · 120 min
- S9 — Results Builder — Tables, Figures, Discussion · Module weight 8%. Practice day: results & discussion export. · 120 min
Week 4
Academic Writing, Integrity & the Agent Business
Thesis and journal-article production, integrity verification, service delivery and licensing (S10–S12).
- S10 — Thesis Writer, Templates & Compilation · Module weight 8%. Practice day: compile full thesis draft. · 120 min
- S11 — Journal Article Writer & Peer Review · Module weight 8%. Practice day: submission-ready manuscript. · 120 min
- S12 — Integrity, Research Kits & the Agent Business · Module weight 10%. Practice day: capstone portfolio assembly. · 120 min
Assessment
Continuous assessment plus capstone. Weighting: practice reports (12) 40%, capstone portfolio 30%, capstone defence (20-minute viva) 15%, attendance & participation 10%, professional ethics 5%. Every practice report follows the standard 7-section format and is graded within 24 hours, before the next live session.
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 10 of 12 practice reports at 2/4 or above, no missing capstone item, at least 60% on professional ethics (non-compensable) and at least 10 live sessions attended. Certificate issued by Chapter2ai Academy, valid 24 months, renewable.