research-article

A Holistic Capstone Experience: Beyond Technical Ability

Authors:

William Kreahling,

Scott BarloweAuthors Info & Claims

SIGITE '17: Proceedings of the 18th Annual Conference on Information Technology Education

Pages 1 - 6

https://doi.org/10.1145/3125659.3125680

Published: 27 September 2017 Publication History

Abstract

This paper presents a two-semester capstone experience successfully employed over three years within a CS department of just four faculty members faced with growing enrollment. This year long capstone experience is a significant overhaul of an earlier capstone implementation that increases the breadth and depth of project topics. This restructuring facilitates a greater emphasis on research, planning, and soft skills that are typically not emphasized in computer science courses, while allowing enrollment growth. Assessment is based on the product and the software development process including research, planning, coding and communication to various audiences in written, visual and verbal forms. This new model more closely aligns the students' capstone experiences with skills necessary for a career in computer science while aligning with student outcomes laid out in our program design.

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Cited By

Neyem ASandoval Alcocer JMendoza MCentellas-Claros LGonzalez LParedes-Robles CStephenson BStone JBattestilli LRebelsky SShoop L(2024)Exploring the Impact of Generative AI for StandUp Report Recommendations in Software Capstone Project DevelopmentProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630854(951-957)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630854
Neyem ARios-Letelier ACéspedes-Arancibia KAlcocer JMendoza M(2024)Enhancing commit message quality in software capstone projects with generative AISoftwareX10.1016/j.softx.2024.10194728(101947)Online publication date: Dec-2024
https://doi.org/10.1016/j.softx.2024.101947

Index Terms

A Holistic Capstone Experience: Beyond Technical Ability
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Software engineering education

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cover image ACM Conferences

SIGITE '17: Proceedings of the 18th Annual Conference on Information Technology Education

September 2017

202 pages

ISBN:9781450351003

DOI:10.1145/3125659

Conference Chair:
Stephen Zilora
Rochester Institute of Technology, USA
,
Program Chairs:
Thomas Ayers
Broward College, USA
,
Daniel Bogaard
Rochester Institute of Technology, USA

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGITE: ACM Special Interest Group on Information Technology Education

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Association for Computing Machinery

New York, NY, United States

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Published: 27 September 2017

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SIGITE/RIIT 2017

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SIGITE

SIGITE/RIIT 2017: The 18th Annual Conference on Information Technology Education and the 6th Annual Conference on Research in Information Technology

October 4 - 7, 2017

New York, Rochester, USA

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Cited By

Neyem ASandoval Alcocer JMendoza MCentellas-Claros LGonzalez LParedes-Robles CStephenson BStone JBattestilli LRebelsky SShoop L(2024)Exploring the Impact of Generative AI for StandUp Report Recommendations in Software Capstone Project DevelopmentProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630854(951-957)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630854
Neyem ARios-Letelier ACéspedes-Arancibia KAlcocer JMendoza M(2024)Enhancing commit message quality in software capstone projects with generative AISoftwareX10.1016/j.softx.2024.10194728(101947)Online publication date: Dec-2024
https://doi.org/10.1016/j.softx.2024.101947

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