Theory Finder Theoretical framework
finder for research
Describe your research topic and get candidate theories from two sources: studies found in a literature search that applied a theory to similar work, and the AI model's own suggestions, each explained against your study.
Sign in to run a search. The Free plan shows up to 3 theories from each source.
Find Theories
Title *9/30 words (min: 2)
Teacher adoption of AI tutoring tools in secondary schools
Enter a concise title between 2-30 words
Description *39/400 words (min: 5)
We study why secondary school teachers adopt or resist AI tutoring tools in mathematics classes. We want to explain how perceived usefulness, workload, and school support shape intention to use, and how adoption differs between experienced and early-career teachers.
Provide detailed context for your theory search (must be 5-400 words)
Find Theories
Theory Finder search form · research on teacher adoption of AI tutoring tools.
Theories from cited studiesSeparate AI-model suggestionsWord report download
Overview
Find a theory for your research paper,
and see where it came from
Theory Finder is a theoretical framework finder for researchers who need to ground a study in established theory. You enter a short research title and a description of your problem, context, and questions, and the tool returns candidate theories in two clearly separated groups. Theories from Previous Studies come from papers found in a literature search: each entry shows the study's citation, the theory it used, and how that theory could be applied to your work. Theories from Internal Model are suggestions drawn from the AI model's own knowledge, each with a description and a note on relevance. Use it while drafting a proposal, a thesis, or a journal manuscript, when you want a shortlist of theories to read about, compare, and discuss with your supervisor.
Theory suggestions, grouped
by where they come from.
01
Theories from previous studies
Theory Finder runs a literature search on your topic and extracts theories that earlier studies applied to similar problems. Each card shows the source citation, the relevant theory, and how it can be used in your research, with a View Study link when a source URL is returned. Because every entry points to a study, you can check how the theory was actually applied before citing it.
02
Internal-model theory suggestions
A second section lists theories identified from the AI model's own knowledge, each with a name, a short description, and an explanation of its relevance to your topic. These suggestions can surface frameworks the literature search did not return, but they carry no source citation, so treat them as leads to research rather than as evidence.
03
Merged theory report in Word
Download Merged Report creates one .docx file with your research topic and description, the previous-studies theories with their citations and usage notes, any relevant papers the search listed, and the internal-model theories. Keep it with your notes, share it with a supervisor, or use it as a reading list while you draft the theory chapter of a thesis.
How it works
From research topic
to theory shortlist.
01
Describe your research problem
Enter a title of 2 to 30 words and a description of 5 to 400 words. Name the phenomenon, the setting or population, and your research questions. Vague descriptions tend to return generic, widely used theories rather than ones applied to studies like yours.
02
Run the search and review both sections
While the search runs, the workspace steps through five stages, from internal-model suggestions to literature search and validation. When results appear, compare the previous-studies theories with the internal-model suggestions and use the theory navigation panel to jump between cards.
03
Download, read, and verify
Download the merged Word report, then read the cited studies and the foundational texts behind each theory before adopting one. Completed searches stay under Recent Searches, so you can reopen a result set later instead of running the same search again.
Mensah, K. A., Varga, L., & Fujimoto, T. (2024). Perceived usefulness, workload, and secondary mathematics teachers' intention to use adaptive tutoring software. Northfold Journal of Mathematics Education and Technology, 11(2), 145–163. https://doi.org/10.5555/njmet.2024.11.2.145
Relevant Theory:
Technology Acceptance Model (TAM), extended with perceived workload as an external variable in a survey of 312 secondary mathematics teachers.
How it can be used:
Adapt the study's TAM survey items to AI tutoring tools and test whether perceived usefulness and workload predict teachers' intention to use them. School support is not part of this model, so it would need to be added as a further construct.
View Study
Theories from Internal Model
1
Unified Theory of Acceptance and Use of Technology (UTAUT)
Description:
Explains intention to use and actual use of a technology through performance expectancy, effort expectancy, social influence, and facilitating conditions, moderated by experience, age, gender, and voluntariness of use.
Relevance:
Facilitating conditions captures the school support described in your study, and the experience moderator gives a theoretical basis for comparing experienced and early-career teachers.
Theory Finder results for a study of teacher adoption of AI tutoring tools: a theory applied in a previous study, with its citation and suggested use, followed by an internal-model suggestion with its relevance.
Inputs, outputs & coverage
What goes in, what comes out,
and what to verify.
Theory Finder suggests candidate theories. It does not choose your framework or confirm that a theory fits your research design, so use these details to judge whether it suits your project.
A typed research title (2–30 words) and a required description (5–400 words). The tool works from this text only; there is no file upload.
Output
Theories from Previous Studies (citation, relevant theory, how it can be used, and a study link when available) and Theories from Internal Model (name, description, relevance), plus a downloadable .docx report.
Coverage
Previous-studies results depend on what the literature search finds for your topic. When no closely matching studies are found, that section can be unavailable and only internal-model theories appear.
Limitations
Results are starting points, not a validated framework. Internal-model theories have no attached source, cited studies should be checked against the original papers, and the tool does not draw a conceptual model or diagram for you.
What should I enter to find a theory for a research paper?
Use the title (2–30 words) to name your topic precisely, for example the phenomenon, the population, and the setting. Use the description (5–400 words) to explain the problem, what you want to understand or explain, and your research questions if you have them. Specific context gives the search more to match against; a broad description such as “technology in education” tends to return generic, widely used theories rather than ones applied to studies like yours.
Where do the suggested theories come from?
Results are split by origin. Theories from Previous Studies are extracted from papers found in a literature search, and each one shows the study's citation and how the theory could be used, with a link to the study when one is available. Theories from Internal Model come from the AI model's general knowledge and have no attached citation. Keep the two apart in your notes: cited entries can be traced to a paper, while internal-model suggestions need independent sources before you rely on them.
How do I compare theoretical frameworks for my study?
Read each candidate against your research questions. Note what the theory explains, its core constructs or propositions, the level it works at (individual, organizational, or societal), and how earlier studies applied it; the previous-studies cards are a starting point for that last question. Theories that address the same problem can sometimes be combined, so check whether two suggestions complement each other or rest on conflicting assumptions. Theory Finder lists candidates side by side but does not rank or score them.
Can Theory Finder tell me which theory is right for my research?
No. It suggests candidates and shows where the previous-studies theories came from, but judging suitability is part of your research design. Before adopting a theory, read its foundational texts rather than relying on the summary, confirm that the cited studies say what the card reports, and discuss the choice with your supervisor or co-authors. If your field or department expects a particular framework, use the results to examine alternatives rather than to replace that expectation.
Open Theory Finder for research planning, describe your study in your own words, and leave with candidate theories, source studies to read, and a Word report to keep with your notes.