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    Praxeli

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    How does generative AI influence students’ critical thinking?

    Generative tools can speed early ideation, but critical thinking depends on how coursework uses them . Integrity research treats assessment design as part of the response .

    Open record · [1]

    ChatGPT for good? On opportunities and challenges of large language models for education

    Kasneci, E., et al. (2023) · Learning and Individual Differences

    DOI 10.1016/j.lindif.2023.102274

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    Generative AI and critical thinking

    APA · Undergraduate

    How does generative AI influence students’ critical thinking?

    Generative tools can speed early ideation, but the effect on critical thinking depends on how coursework uses them . Integrity research treats assessment design as part of the response . A SWOT framing balances rapid feedback against uncritical acceptance .

    Sources stay attached — open a marker to inspect the record.

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    See what Praxeli actually does.

    One connected workspace — ask, find sources, analyze papers, write with citations, and present. Scroll the tour; nothing important is hidden behind a click.

    01Ask Praxeli

    Start in plain language — keep sources beside the reply

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    Ask PraxeliSample · APA
    How does generative AI influence students’ critical thinking?

    Generative tools can speed early ideation, but critical thinking depends on how coursework uses them [1]. Integrity research treats assessment design as part of the response [2].

    02Find sources

    Search records you can identify and discard

    Citation Finder returns authors, venues, DOIs, and abstracts when available — so you decide what belongs in the project before it enters the draft.

    • Inspectable metadata before anything is cited
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    Citation FinderSample search
    How does generative AI influence students’ critical thinking?
    • [1]
      ChatGPT for good? On opportunities and challenges of large language models for education

      Kasneci, E., et al. · 2023 · Learning and Individual Differences

      DOI 10.1016/j.lindif.2023.102274 · Abstract available

    • [2]
      Chatting and cheating: Ensuring academic integrity in the era of ChatGPT

      Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. · 2024 · Innovations in Education and Teaching International

      DOI 10.1080/14703297.2023.2190148 · Abstract available

    • [3]
      A SWOT analysis of ChatGPT: Implications for educational practice and research

      Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. · 2024 · Innovations in Education and Teaching International

      DOI 10.1080/14703297.2023.2195846 · Abstract available

    03Analyze papers

    See what an upload actually supports

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    Document AnalyzerUploaded PDF · sample

    ChatGPT for good? On opportunities and challenges of large language models for education

    Purpose
    Position paper on educational uses of large language models, stressing critical engagement, oversight, and literacy rather than unexamined adoption.
    Approach
    Position paper synthesizing opportunities and risks for education.
    Limits
    Abstract-level claims only — verify against the full text before citing.

    04Write & cite

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    OutlineLiterature Review
    1. 1. IntroductionDefine generative AI and critical thinking in higher-education settings
    2. 2. Opportunities for deeper inquiryScaffolding brainstorming and alternative viewpoints
    3. 3. Risks to independent reasoningOver-reliance and shallow verification of claims
    4. 4. Implications for practiceTeaching source evaluation alongside AI tools
    DraftEssay Assistant

    Generative AI can accelerate early ideation, yet its influence on students’ critical thinking depends on how tools are integrated into coursework. Reviews of large language models in education highlight both learning opportunities and the need for deliberate critical engagement (Kasneci et al., 2023). Parallel work on academic integrity stresses that assessment design must account for AI-assisted writing rather than ignore it (Cotton et al., 2024). A SWOT framing further suggests that strengths such as rapid feedback coexist with risks of uncritical acceptance of generated claims (Farrokhnia et al., 2024).

    Sample draft with bibliographic citations — verify against the original papers before use.

    05Present

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    • The same project context from research and writing
    Presentation Studio3 slides · sample

    01 · Title

    Generative AI and critical thinking

    Undergraduate literature review

    02 · Argument

    Opportunity vs integrity risk

    • Scaffolded ideation with oversight
    • Assessment design as response

    03 · Sources

    Named records beside the claim

    • Kasneci et al., 2023
    • Cotton et al., 2024

    Illustrative samples with real publication metadata. Not live searches or analyses.

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    How it works

    One workspace. Every stage of your academic work.

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    1. 01Discover

      Find literature you can identify

      Search scholarly indexes for authors, venues, DOIs, and abstracts — then keep only the records that earn a place in the project.

      Citation Finder · Publication Finder

    2. 02Understand

      See what a paper actually supports

      Pull purpose, approach, key points, and limits from documents you upload — with provenance you can check.

      Document Analyzer · Methodology Assistant

    3. 03Develop

      Write with evidence still visible

      Shape outlines and drafts while citation markers stay in the sentence and bibliographic records stay in reach.

      Essay Assistant · Literature Review

    4. 04Present

      Carry the argument into slides

      Turn structured research into Presentation Studio decks you can revise and export.

      Presentation Studio

    Connected work

    Keep your thinking connected.

    A research question, a source record, an outline, and a cited draft stay in one thread — so the argument does not fragment across tabs.

    01 · Question

    How does generative AI influence students’ critical thinking?

    02 · Source

    ChatGPT for good? On opportunities and challenges of large language models for education

    Kasneci, E., et al. (2023) · DOI 10.1016/j.lindif.2023.102274

    03 · Outline

    3. Risks to independent reasoning

    Over-reliance and shallow verification of claims

    04 · Draft

    Cited prose with markers still visible

    Generative tools can speed early ideation, but critical thinking depends on how coursework uses them [1].

    Illustrative sample using real publication metadata. Not a live search.

    Built for academic work

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    Practical questions

    What can I do on the free plan?

    Free includes 10,000 AI words each month and the same academic tool suite as paid plans — research, writing, citations, integrity tools, and Chat Assistant. File conversion is unlimited. No credit card is required.

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    Yes. Document Analyzer and related tools help you extract structure, claims, and findings from files you provide. Outputs are assistance for your review — not guaranteed correctness.

    Where do the references come from?

    Citation search returns bibliographic details, and an abstract when one is available. A link to the full text appears only when that source provides one. Check important citations against the original work before you rely on them.

    Can I export and keep editing my work?

    Yes. Common exports include PDF, DOC, and TXT, plus BibTeX-ready citation formats. Projects and Library help you return to saved work after you sign in. Upgrade when you need more monthly AI words — not to unlock exports.

    How are my uploaded documents handled?

    Uploads power the tools you run. Review the Privacy Policy for retention and processing details before sharing sensitive material.

    How are AI-word allowances calculated?

    AI words are words Praxeli generates for you. A run bills at least 50 words. Your prompts and retrieved source text are not billed. Unused words do not roll over to the next month.

    Praxeli

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