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Correlating ACM Core IT Learning Outcomes with Associate Degree and Certificate Programs (Abstract Only)

Published:24 February 2015Publication History

ABSTRACT

As directed by the ACM Education Board, the ACM Committee for Computing Education in Community Colleges (CCECC) delivered the final version of its curricular guidance for associate-degree Information Technology (IT) programs. The guidance, An ACM Competency Model of Core Learning Outcomes and Assessment for Associate-Degree Curriculum in Information Technology, includes core IT learning outcomes with associated assessment metrics. Examples of degree and certificate programs that align with the ACM core IT learning outcomes are part of a growing repository at CAPspace.org. These correlations demonstrate the adaptability of this competency-based curriculum approach to a variety of computing courses, certificates, and degree programs. The CCECC invites institutions to highlight their IT degree and certificate programs by submitting correlations at capspace.org/correlation/ using an easy-to-use web form.

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  1. Correlating ACM Core IT Learning Outcomes with Associate Degree and Certificate Programs (Abstract Only)

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    • Published in

      cover image ACM Conferences
      SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education
      February 2015
      766 pages
      ISBN:9781450329668
      DOI:10.1145/2676723

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 February 2015

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      SIGCSE '15 Paper Acceptance Rate105of289submissions,36%Overall Acceptance Rate1,595of4,542submissions,35%

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