Use after descriptive statistics when an education research project needs hypothesis testing or statistical relationships, including t-tests, ANOVA/ANCOVA, chi-square tests, correlations, linear/logistic regression, simple mediation/moderation screening, effect sizes, assumptions, post-hoc tests, and APA/Chinese…
Use for learning analytics, educational data mining, LMS log analysis, AI platform behavior data, learner modeling, prediction, clustering, sequence mining, early warning, dashboard design, and explainable analytics in education research.
Use after learning analytics or educational data mining data are available and cleaned, especially LMS logs, AI platform logs, clickstream, assignment histories, assessment sequences, student writing revision traces, knowledge component data, and learning behavior records. Covers feature engineering, sequence…
Use when creating education literature maps, bibliometric analyses, keyword co-occurrence maps, co-citation maps, research trend summaries, author/institution networks, and topic evolution views using VOSviewer, bibliometrix/Biblioshiny, OpenAlex, Semantic Scholar, or exported citation files.
Use for education meta-analysis papers or systematic reviews that quantitatively synthesize effect sizes. Supports effect-size extraction, coding sheet design, heterogeneity, moderator analysis, publication bias, forest/funnel plots, and R metafor/meta workflows.
Use for education papers combining quantitative and qualitative data, including explanatory sequential, exploratory sequential, convergent parallel, embedded, intervention mixed methods, and action research with mixed evidence. Produces integration logic, sampling, data collection sequence, joint displays, and…
Use after an education research topic and research questions are drafted, or whenever the user is unsure what type of education paper to write. Routes the project to empirical quantitative, qualitative, mixed methods, action research, design-based research, literature review, systematic review, meta-analysis…
Use for education policy analysis, curriculum standard analysis, comparative education papers, international/regional comparison, policy text coding, historical policy evolution, and institutional analysis.
Use for education program evaluation, curriculum evaluation, platform/tool evaluation, teacher training evaluation, school reform evaluation, and implementation/effectiveness studies. Produces logic model, evaluation questions, indicators, data plan, analysis plan, and evaluation-report/paper structure.
Use when analyzing qualitative education data such as interviews, focus groups, classroom observations, reflective journals, student work, policy documents, teaching artifacts, AI feedback texts, and open-ended survey responses. Covers open coding, axial coding, selective coding, thematic analysis, grounded theory…
Use after quantitative education data are collected and before descriptive, inferential, reliability, validity, SEM, multilevel, or learning analytics analysis. Covers data import checks, data dictionary validation, missing values, invalid values, outliers, duplicate records, participant attrition, variable coding…
Use for education papers using quantitative survey, correlational, regression, experimental, quasi-experimental, causal-comparative, mediation/moderation, SEM, multilevel, or longitudinal designs. Produces variables, hypotheses, sampling, instruments, power/sample-size guidance, statistical plan, and methods-section…
Use when generating, refining, comparing, or validating education research questions and hypotheses. Supports qualitative, quantitative, mixed-methods, intervention, design-based research, survey, classroom observation, and systematic review questions using Elicit-style evidence search, Semantic Scholar/OpenAlex, and…
Use before collecting education research data, or when planning samples, recruitment, participant tracking, school/class/teacher/student data structures, consent, anonymization, data dictionaries, file naming, secure storage, and dataset readiness. This second-layer execution skill supports quantitative, qualitative…
Use when designing survey instruments, questionnaires, scales, rubrics, or measurement tools for education research after research questions, variables, or constructs are identified. Covers scale selection, construct-dimension mapping, item generation, reverse-coded items, response formats, expert validity review…
Use when matching an education research topic, question, or variable model to appropriate theories, conceptual frameworks, and prior research traditions. Supports ResearchRabbit/Litmaps/Connected Papers-style citation exploration, OpenAlex/Semantic Scholar search, and theory-fit scoring.
Use when decomposing a broad education research topic into focused subtopics, searchable concepts, research gaps, candidate study designs, and writing directions. Best for thesis/article topic selection, narrowing a vague idea, or turning an education policy/practice issue into researchable tracks using STORM-style…
Use when education research uses scales, questionnaires, tests, rubrics, or latent constructs and needs reliability and validity analysis, including Cronbach's alpha, McDonald's omega, item-total correlations, EFA, CFA, CR, AVE, convergent validity, discriminant validity, factor loadings, model fit, and measurement…
Use when identifying independent variables, dependent variables, mediators, moderators, controls, constructs, indicators, instruments, and operational definitions from education research topics, papers, PDFs, Zotero libraries, survey plans, or literature review notes. Supports Elicit-style extraction, PDF RAG, and…
A tool that sends email through a real mail server, rather than only drafting the message. SMTP is the standard system used to deliver email between mail services.
A lesson-planning guide built around three stages: the teacher demonstrates, the class practises together, and students practise independently. This gradual release of responsibility moves support from the teacher to the learner.
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