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Retrieval-Augmented Tutoring: Effects on Undergraduate Learning Outcomes

Retrieval-Augmented Tutoring: Effects on Undergraduate Learning Outcomes

Abstract

Evidence that LLM tutors improve measurable learning outcomes remains thin (Kasneci et al., 2023). Across a semester-long trial of 412 undergraduates, students assigned to a retrieval-augmented tutor gained 0.31 SD on end-of-term assessment (Zhang & Okonkwo, 2024).

Effects were strongest among students entering with below-median prior attainment, a pattern consistent with earlier work on adaptive scaffolding (Vygotsky, 1978)(Doo et al., 2020).

Gains did not transfer to a delayed retention test administered six weeks later, which we discuss as a limitation of session-bounded tutoring.

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GooglePennUniversity of CambridgeUniversityAston University

Claim Confidence

A programme committee reads your abstract looking for the claim your sources do not support. Claim Confidence finds it first, and shows you the passage that settles it.

Claim confidence

The claim confidence analysis addressed issues of redundant, weak, or missing citations, alongside instances of contradiction in citation arguments.

Misrepresented

Contradicted

3

Unsupported

4

Weakly Supported

2

Overstated

Unverifiable

Six verdicts, not a score

Every claim checked against the full text of the source it cites, with a category and a reason you can judge for yourself.

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Reads the full source

Not the abstract, not the metadata. Jenni opens the paper you cited and checks what it actually says.

Clear categorisation

Every flag comes back with a category and an explanation, so you know whether to hedge the claim or drop it.

Avoid desk rejection

Unsupported and overstated claims are among the most common reasons abstracts get rejected. Catch them before you submit.

For me Jenni is like a research assistant who is always there. No waiting for feedback anymore, but direct support at any point in the writing process. This takes away a big burden on my supervisors, who are therefore super happy with Jenni as well!

Michelle, PhD Transport Planning

Proofread

Every conference rubric scores clarity separately from science. Proofread catches the dense sentence a reviewer would flag as hard to follow.

Compression makes prose worse

Cutting an abstract to a word limit is where the writing gets dense. Proofread finds the places where tightening cost you clarity.

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Proofread

Whilst generally sound. The text contains some areas for improvement to comply with academic best practices.

Word Choice

6 pending changes

Accept All

All

The

majority

of

participants reported improved outcomes.

Formality

6 pending changes

Accept All

Yang (2024) found a negative correlation

which

was

interesting.

.

Grammar

8 pending changes

Accept All

These results indicate that early intervention

appears

to

be

effective.

Transitions

4 pending changes

Accept All

Also,

In

addition,

Jones (2022) found similar results.

Overgeneralized

6 pending changes

Accept All

All

The

majority

of

participants reported improved outcomes.

The results provesuggest that X has an effect on Y.

Results in seconds

Your abstract is scanned and actionable results appear straight away.

Built for academia

Categories capture the conventions of scholarly prose, not generic grammar-checker noise.

Accept on your terms

Take individual suggestions, whole categories, or all of them. The voice stays yours.

As a non-native English speaker I spend a lot of time ensuring my writing matches scientific standards. Proofread removes that stress completely.

Matheus, HCI Postdoc

Source Quality

Committees notice a reference list built on preprints. Source Quality checks every citation for the signals a reviewer would flag, then helps you fix each one.

Source Quality

8 Preprints, 1 Supporting Document and 2 Rarely Cited found.

Bibliography notes

2006

2026

Mixed source ages. Median year 2021; 3 of 10 dated works over a decade old.

Retracted

Preprint

8

Supporting Document

1

Rarely Cited

2

Unverified Journal

Unverifiable

Swap a preprint for the published version

One action replaces a preprint with its peer-reviewed version, finds a replacement, or keeps it if the choice was deliberate.

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Catch retractions

A retracted source in your reference list is the fastest way to lose a reviewer's trust.

See your venue spread

Publication-age distribution and the venues you lean on. Avoid a reference list that looks narrow or dated to a programme committee.

Flag unverifiable sources

If a citation cannot be located or its venue cannot be verified, you find out before a reviewer does.

Jenni's built specifically for academic writing. It treats sources, citations, and evidence as the main point, not as an afterthought.

Dr. Sabine Hossenfelder

built for conference submissions

Defensible before you submit

A programme committee reads your abstract looking for the weak claim, the thin reference list, and the sentence that does not parse. Jenni finds all three first.

Every claim traced to its source

Claim Confidence reads the full text of every source you cite and flags what a reviewer would question: unsupported, overstated, contradicted or misrepresented.

Your bibliography audited

Source Quality flags retracted work, preprints that have since been published, rarely cited sources and unverified journals, then helps you swap them.

Clear academic English

Proofread and Tone of Voice catch the dense sentence a committee would flag as hard to follow. Especially useful if English is not your first language.

See each review in action

Short walkthroughs of Claim Confidence, Source Quality and Peer Review.

Claim Confidence: strengthen your arguments

Source Quality: scan for weak and invalid citations

Peer Review: how AI peer review works

Frequently asked questions

What does a Jenni review actually check?

Four things. Peer Review scores soundness and contribution, Claim Confidence flags overstated or unsupported claims, Proofread catches errors, and Tone of Voice checks it reads like academic work.

Will Jenni rewrite my abstract for me?

No. Every finding is a suggestion you accept, edit or dismiss. Nothing changes in your document until you choose it.

Can Jenni tell me if my abstract will be accepted?

No. Acceptance depends on the committee, the venue and how strong the field is that year. Jenni catches the problems a reviewer would flag, which is the part you can actually control.

Does Jenni check my abstract against the conference's submission rules?

No. Jenni does not read calls for papers or enforce word limits, anonymity or formatting. Check those against the CFP yourself, then use Jenni on the writing.

Can Jenni check whether my citations are real?

Yes. Source Quality flags retracted papers, preprints that have not been peer reviewed, non-research documents, and journals it cannot verify in major scholarly databases.

Can I review an abstract I wrote in Word or Google Docs?

Yes. Upload the .docx or paste the text straight in. Your formatting and citations carry over, then the review tools work on top.

Will the committee know I used AI?

Not from the text, and AI detectors are unreliable in both directions. What matters is disclosure. Most publishers allow AI assistance if you declare it, and conferences set their own rules.

Does Jenni store or share my unpublished abstract?

No. Your documents stay yours. Jenni does not publish or share your work, and you decide what you upload.

Is it free to review an abstract?

Yes. Start on the free plan with no card required. Paid plans raise the limits if you are running reviews across a lot of documents.

Can Jenni review my conference abstract before I submit it?

Yes. Paste or upload your abstract and run a Review. You get feedback on soundness, unsupported claims, prose and tone before a programme committee ever sees it.

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