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Self-directed learning: stories from industry

Published: 15 November 2012 Publication History

Abstract

We report preliminary results from an ongoing investigation of how computing professionals perceive and value self-directed learning, based on a qualitative analysis of interviews with ten computing professionals. The professionals expect that future colleagues will have a well-developed ability to learn on their own. They indicate that professionals use a range of resources, strategies, and collaborators to help them learn. They find their work-related self-directed learning enjoyable, expressing a sense of confidence and pride; yet they often also find it to be a stressful never-ending process.

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cover image ACM Other conferences
Koli Calling '12: Proceedings of the 12th Koli Calling International Conference on Computing Education Research
November 2012
187 pages
ISBN:9781450317955
DOI:10.1145/2401796
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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  • Univ. Eastern Finland: University of Eastern Finland
  • Tampere University of Technology
  • Univ. Turku: University of Turku
  • Aalto University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 November 2012

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Author Tags

  1. industry perspective
  2. informal learning
  3. self-directed learning

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  • Research-article

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Koli Calling '12
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  • Univ. Eastern Finland
  • Univ. Turku

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Overall Acceptance Rate 80 of 182 submissions, 44%

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  • (2023)Effects of Using the Staged Self-Directed Learning Model at Distance English LearningParticipatory Educational Research10.17275/per.23.1.10.110:1(1-16)Online publication date: 30-Jan-2023
  • (2022)Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals in the U.S.: Their Reading Experiences, Interests and Perceptions of Social AccessibilityACM Transactions on Accessible Computing10.1145/352019815:2(1-31)Online publication date: 19-May-2022
  • (2022)UX professionals’ learning and usage of UX methods in agileInformation and Software Technology10.1016/j.infsof.2022.107005151:COnline publication date: 1-Nov-2022
  • (2021)Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2021.30514148:14(11016-11040)Online publication date: 15-Jul-2021
  • (2021)Female computer science students: A qualitative exploration of women’s experiences studying computer science at university in the UKEducation and Information Technologies10.1007/s10639-021-10743-527:3(3079-3105)Online publication date: 13-Sep-2021
  • (2020)Understanding the Motivations of Final-year Computing Undergraduates for Considering AccessibilityACM Transactions on Computing Education10.1145/338191120:2(1-22)Online publication date: 19-Apr-2020
  • (2020)Reading Experiences and Interest in Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing ProfessionalsProceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3373625.3416992(1-13)Online publication date: 26-Oct-2020
  • (2020)Understanding Wikipedia as a Resource for Opportunistic Learning of Computing ConceptsProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366832(72-78)Online publication date: 26-Feb-2020
  • (2019)Learning Outside the ClassroomThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.027(749-772)Online publication date: 15-Feb-2019
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