Cited by 23Teaching and Learning ProgrammingOnline Learning and AnalyticsEducational Outcomes and Influences

Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes

Open access
Leinonen, Juho, Castro, Francisco Enrique Vicente, Hellas, Arto·2021·Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1

Abstract

Intuitively, it seems plausible that students who start their work earlier and work on more days than their peers should perform better in any course. But does the early bird really catch the worm? In this article, we examine introductory programming students' time management behavior as evidenced by data collected from a programming environment. We analyze: 1) the earliness of students' work, i.e. when they start working on their course assignments, 2) the number of days students work on course assignments, and 3) the relationship between earliness, the number of days worked, and course outcomes. Our results provide further support for the notion that, on average, students who start working on course assignments early perform slightly better in the course. At the same time, we found that starting early does not necessarily mean that students work on more days, and that starting early and working on many days does not necessarily mean that students get better grades. In addition, some students who start working early on the assignments in the first weeks of the course seem to start delaying when they begin working on assignments as the course progresses, while other students seem to be able to continue starting early throughout the course.

Integrity signals

Registry

Crossref · 10.1145/3430665.3456383

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some work has used fine-grained programming process logs from instrumented IDEs to uncover student work patterns and to visualize student programming processes.

    “Some work has looked into using fine-grained programming process logs gathered from instrumented IDEs to uncover student work patterns [21-23, 26, 40] and to visualize student programming processes [10,14,35,38].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Leinonen, J., Castro, F. E. V., & Hellas, A.
Affiliations
  • University of Helsinki (FI)
  • University of Massachusetts Amherst (US)
  • Aalto University (FI)
Venue
Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1
Publisher
ACM
Published
2021-06-26
Pages
373-379
OpenAlex
W3174267545
Cited by
23
References
30
Citations by year
2026: 2 · 2025: 2 · 2024: 7 · 2023: 5 · 2022: 7
FWCI
5.54
Type
conference paper
Language
en
Open access
Locations
  • ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) (publishedVersion)
  • Työväentutkimus Vuosikirja (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Education › Educational Outcomes and Influences
Keywords
time management, introductory programming, course outcomes, assignment completion, student procrastination, course grades

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review