AI tutor in a first-year statistics course
A 2023 controlled study of 180 university students reports achievement and engagement outcomes.
Literature review expert guideMaster’s · PhD · Research
Start with what you need to understand—not a method name. LitWise turns your research intent, discipline, and evidence into a defensible review pathway.
Choose your entry point
You do not need to read this guide from top to bottom. Choose the situation that is closest to yours and move to the next useful decision.
I have a topic or a rough idea, but I do not know which review method fits it.
Choose a review method→02My PDFs and notes are growing, and I need a traceable way to organise the work.
Follow the workflow→03I need to know which sources, standards, journals, and methods matter in my discipline.
Explore my discipline→04I am ready to search, screen, appraise, extract, analyse, or start writing.
Open the toolkit→01 · Guided pathway
Use this as a starting hypothesis. Confirm the final design with your supervisor, advisory committee, or review team.
Step 1 of 5 · Research intent
Choose the closest intent. A useful method begins with the decision your review must support.
04 · Method library
Compare before choosing
A familiar name is not enough. Compare the claim, workload, team, output, and reporting expectations before committing.
Choose at least two methods to reveal the comparison table.
03 · Discipline atlas
Every discipline has its own evidence culture. Select a field to see its common questions, sources, methods, and caution points.
02 · Execute the review
Each phase should leave an artefact that another researcher—or your future self—can inspect.
Translate the question into concepts, synonyms, sources, and a reproducible search log.
Do known sentinel papers appear, and is every search reproducible?
Apply eligibility rules consistently and preserve the reason for every exclusion.
Would two reviewers interpret the criteria in the same way?
Judge the kind and strength of claim each source can support.
Is the tool appropriate to the study design and review purpose?
Capture comparable evidence without stripping away context needed for synthesis.
Can every synthesized claim be traced back to a source location?
Build an argument that connects findings, uncertainty, limitations, and contribution.
Does the conclusion stay inside the evidence and protocol boundaries?
03 · Guided practice
Use these client-side tools to rehearse decisions and create copy-ready working notes. Your checklist stays in this browser; no research data is uploaded.
Saved only in this browser
A progress checklist for the minimum traceable workflow. Completion is a reminder—not a quality score.
01
What do you want this review to answer? Choose the goal closest to your project. We will suggest a question framework, show a complete example, and give you fields for your own topic. Adapt the wording and scope to your discipline.
Among first-year university students, does flipped-classroom teaching improve achievement and classroom engagement compared with lecture-based teaching?
Suggested starting frameworkPICOPopulation · Intervention · Comparison · OutcomeA focused question comparing effects or outcomes
Among [population], how does [intervention], compared with [comparison], affect [outcome]?
02
Apply one example protocol to six records. At title/abstract stage, uncertainty normally moves forward instead of becoming an early exclusion.
A 2023 controlled study of 180 university students reports achievement and engagement outcomes.
A 2024 editorial argues for adoption but reports no empirical study or learner outcome.
The abstract reports learning gains but does not identify whether participants were school or university students.
A 2022 school study reports test performance among 13–14 year-old pupils.
A 2025 protocol describes planned outcomes but contains no results.
A mixed-methods university study reports engagement but it is unclear whether the system provides tutoring or only administrative feedback.
03
Enter counts to check arithmetic and produce a copy-ready selection summary. This planning aid does not replace the official PRISMA 2020 diagram or its instructions.
04
Answer a few questions to find a sensible starting point, then check the assumptions, study design, and reporting guidance before running the analysis.
05 · Research toolkit
Copy a starter, adapt it to your discipline, and preserve the decisions that make your review auditable.
Boolean search canvas
("artificial intelligence" OR "machine learning" OR AI)
AND
(education OR teaching OR learning)
AND
(ethics OR bias OR fairness)Use database field tags such as title/abstract or TITLE-ABS-KEY when an all-fields search returns too much noise.
A wildcard can capture useful word endings, but test every truncated term so it does not retrieve unrelated words.
When a database supports NEAR, W/n, or an equivalent operator, use it to keep related concepts close without requiring an exact phrase.
AI-assisted research
Use AI to expand, compare, and challenge your thinking while keeping every scholarly decision and source check with the researcher.
Topic, discipline, purpose, and the material available.
One concrete job for the AI to help with.
What it may use, must verify, and must not invent.
A structure that makes gaps and uncertainty visible.
Choose a research task
Copy-ready prompt
Turning a topic into concept blocks, synonyms, spelling variants, and terms to test in databases.
Context:
I am reviewing [topic] in [discipline, population, or setting]. My current question is [question or decision].
Task:
Help me build vocabulary for a reproducible database search. Separate the question into concept blocks and propose synonyms, acronyms, spelling variants, broader terms, and narrower terms for each block.
Evidence rules:
- Do not present a term as an official subject heading unless it has been checked in the named database thesaurus.
- Separate natural-language keywords from controlled-vocabulary candidates that I still need to verify.
- Flag terms likely to retrieve irrelevant results and explain why.
- Do not claim that the list is complete.
Output:
Create a table with: concept block | keywords and variants | controlled terms to verify | likely noise. Then draft Boolean blocks, clearly marking any syntax that must be adapted for [database].Choose appraisal by evidence design
| Evidence design | Inspect | Possible starting tool |
|---|---|---|
| Randomized intervention | Randomization, deviations, missing outcomes, measurement, reporting | RoB 2 or a field-equivalent tool |
| Non-randomized intervention | Confounding, selection, classification, deviations, missingness | ROBINS-I or a field-equivalent tool |
| Qualitative study | Fit, recruitment, reflexivity, analysis, context, credibility | CASP, JBI, or a discipline-appropriate tool |
| Mixed-methods study | Quality of each component and the logic of integration | MMAT or design-specific tools plus integration appraisal |
| Systematic review | Protocol, search, selection, appraisal, synthesis, bias | AMSTAR 2 or a purpose-appropriate review tool |
Choose tools by the job they must do. Start with the smallest workable stack, confirm institutional access, and record any automation used in screening or analysis.
Collect, deduplicate, annotate, and cite without losing the source trail.
A strong default for most students and research teams, with browser capture and an open ecosystem.
Agree on collections, tags, and attachment storage before collaborating.Researchers who want a straightforward PDF library and citation workflow.
Check export and collaboration needs before committing a large shared library.Labs and institutions that already use EndNote styles, libraries, and support.
Check whether your university already provides a licence before purchasing.Remove duplicates, apply eligibility criteria, resolve conflicts, and preserve an audit trail.
Title and abstract screening, especially when several reviewers need blinding and conflict resolution.
Free and paid capabilities differ; agree on reviewer roles before inviting the team.Large screening sets where active learning can prioritise likely-relevant records while humans retain decisions.
Predefine stopping rules and report the model, version, and human decisions transparently.Complex evidence reviews and maps that need collaborative coding, synthesis, and review management.
It can be more platform than a small thesis needs; check training and access first.Turn reading notes into a shared synthesis and a manuscript that remains maintainable.
Linked notes, concept development, and a durable synthesis workspace before drafting.
Choose Notion for shared work or Obsidian for local files; avoid maintaining the same notes in both.LaTeX manuscripts, technical theses, and real-time collaboration around journal templates.
Confirm that your supervisor and coauthors are comfortable reviewing LaTeX projects.Teams that already review drafts in Google Docs and want citations inside that workflow.
Decide which reference library is authoritative to prevent duplicate or drifting records.Code qualitative findings, calculate pooled estimates, or manage an end-to-end review.
Systematic coding of qualitative findings, memos, relationships, and team-based analysis.
Software does not choose a coding logic; define the analytical approach before importing everything.Reproducible meta-analysis, sensitivity checks, and publication-quality statistical outputs.
Use it with statistical supervision when effect measures, dependence, or heterogeneity are complex.Teams that want screening, extraction, risk-of-bias work, and exports in one review platform.
Check university access and confirm that its workflow matches your review method before setup.Copy-ready template
Make every database search reproducible.
Database: [name] Platform: [provider] Date searched: [YYYY-MM-DD] Coverage: [start–end] Exact search string: [paste] Filters: [list or none] Results returned: [n] Export file: [name] Notes and changes: [why]
Copy-ready template
Keep screening decisions consistent and explainable.
Study ID: [author-year] Reviewer: [name] Stage: [title/abstract | full text] Decision: [include | exclude | discuss] Criterion triggered: [criterion] Exclusion reason: [one specific reason] Notes: [context or uncertainty]
Copy-ready template
Connect study context, design, finding, and quality.
Citation | Country/setting | Aim | Design | Sample/data | Intervention or phenomenon | Outcome/finding | Context | Limitation | Appraisal | Reviewer note
Copy-ready template
Align the team before the search expands.
Decision this review supports: Review question: Review type and rationale: Population/phenomenon: Concept/intervention: Context/comparator: Eligible evidence designs: Sources to search: Appraisal approach: Synthesis approach: Registration/reporting plan: Known constraints:
Six failure modes to catch early
Choosing a fashionable label before defining the claim and evidence.
Treating one index or Google Scholar as complete coverage.
Changing eligibility after seeing results without documenting the decision.
Using one appraisal checklist for unlike study designs.
Keeping findings without page, table, or quotation traceability.
Making causal or universal claims that the included evidence cannot support.
Official reporting resources
Guidelines evolve. Confirm the current version and the requirements of your target journal or institution.
06 · Before the search
Name the decision, audience, or knowledge gap—not just the topic.
Define people, phenomena, concepts, settings, dates, and boundaries.
Choose quality criteria that match each study design and knowledge claim.
State whether you need an estimate, map, explanation, theory, or agenda.
“The method is justified by the question, evidence, and intended claim.”LitWise decision principle
Ready to begin?