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Addressing the Recruitment and Retention of Female Students in Computer Science at Third Level

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Susan McKeever, Deirdre Lillis

Computers and Society · Submitted 12 Oct 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We have made significant improvements.

how it is stated · asserted 1.00 read the record →

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arXiv ID2110.06090 (version 1)
Pith IDNO7LPG6K, Pith's permanent record of this paper and its review
CitationDeirdre Lillis, Susan Mckeever. "Addressing the Recruitment and Retention of Female Students in Computer Science at Third Level." arXiv:2110.06090 (2021). https://pith.science/paper/NO7LPG6K
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,948 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.11 · human participants 0.81 · controlled comparison 0.24 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.78 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In the School of Computing at the Dublin Institute of Technology (DIT), Ireland, we undertook our Computer Science for All (CS4All) initiative, a five year strategy to implement structural reforms at Faculty level, to address recruitment and retention issues of female undergraduate computer science (CS) students. Since 2012, under CS4All we implemented a variety of reforms to improve student retention, set up a new CS program to attract more female students, and delivered changes to promote a sense of community amongst our female students. We have made significant improvements. For example, we have achieved a dramatic improvement in retention rising from 45% to 89% in first year progression rates. Our new hybrid CS International program has more than double the percentage of females first year enrolments in comparison to our other undergraduate programs. As at 2018, we continue to roll out the remaining parts of CS4All within our School.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In the School of Computing at the Dublin Institute of Technology (DIT), Ireland, we undertook our Computer Science for All (CS4All) initiative, a five year strategy to implement structural reforms at Faculty level, to address recruitment and retention issues of female undergraduate computer science (CS) students. contribution 0.86 0.95 0.06 asserted 0.99
s1 Since 2012, under CS4All we implemented a variety of reforms to improve student retention, set up a new CS program to attract more female students, and delivered changes to promote a sense of community amongst our female students. contribution 0.56 0.95 0.06 asserted 1.00
s2 We have made significant improvements. result 0.76 0.80 0.43 asserted 1.00
s3 For example, we have achieved a dramatic improvement in retention rising from 45% to 89% in first year progression rates. result 1.00 0.95 0.25 asserted 1.00
s4 Our new hybrid CS International program has more than double the percentage of females first year enrolments in comparison to our other undergraduate programs. result 1.00 0.94 0.12 asserted 1.00
s5 As at 2018, we continue to roll out the remaining parts of CS4All within our School. future work 0.58 0.84 0.05 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.77 · evidence from observation or experiment 0.67.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In the School of Computing at the Dublin Institute of Technology (DIT), Ireland, we undertook our Computer Science for All (CS4All) initiative, a five year strategy to implement structural reforms at Faculty level, to address recruitment and retention issues of female undergraduate computer science (CS) students. Since 2012, under CS4All we implemented a variety of reforms to improve student retention, set up a new CS program to attract more female students, and delivered changes to promote a sense of community amongst our female students. We have made significant improvements. For example, we have achieved a dramatic improvement in retention rising from 45% to 89% in first year progression rates. Our new hybrid CS International program has more than double the percentage of females first year enrolments in comparison to our other undergraduate programs. As at 2018, we continue to roll out the remaining parts of CS4All within our School.

Human review

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References
How the literature uses it

1 arXiv paper cite this in 16 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 7 sentences without a confident label

Cites it as support 1 paper

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