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abstract

Supporting communication within industrial doctoral projects: the thesis steering model

Published: 21 June 2014 Publication History

Abstract

This study presents the Thesis Steering Model (TSM), an instrument supporting systematic communication and collaboration between the different stakeholders involved in industrial doctoral projects. The results describe TSM and illustrate its introduction for seven doctoral projects within a postgraduate school in applied informatics. The experiences from the first two years in use are: enhanced communication, mutual understanding of academic and business values, and opportunity to the doctoral students to build a research identity associated to their own project.

References

[1]
Wallgren, L. and Dahlgren, L.O. 2007. Industrial doctoral students as brokers between industry and academia, Industry and Higher Education, 21(3).
[2]
Eneroth, T., Hellsten, P. and Hamilton, S. 2009. Get Connected. Culture in Projects at Volvo. Technical Report.

Cited By

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  • (2023)Knowledge Management Methodology to Predict Student Doctoral ProductionArtificial Intelligence Application in Networks and Systems10.1007/978-3-031-35314-7_60(714-732)Online publication date: 9-Jul-2023
  • (2018)Doctor of Professional Studies in Computing: A Categorization of Applied Industry Research2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8658886(1-6)Online publication date: Oct-2018

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cover image ACM Conferences
ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
June 2014
378 pages
ISBN:9781450328333
DOI:10.1145/2591708
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2014

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Author Tags

  1. intercultural collaboration
  2. knowledge formation
  3. knowledge transfer
  4. models and instruments in education.
  5. postgraduate education

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ITICSE '14
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Acceptance Rates

ITiCSE '14 Paper Acceptance Rate 36 of 164 submissions, 22%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

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ITiCSE '25
Innovation and Technology in Computer Science Education
June 27 - July 2, 2025
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Cited By

View all
  • (2023)Knowledge Management Methodology to Predict Student Doctoral ProductionArtificial Intelligence Application in Networks and Systems10.1007/978-3-031-35314-7_60(714-732)Online publication date: 9-Jul-2023
  • (2018)Doctor of Professional Studies in Computing: A Categorization of Applied Industry Research2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8658886(1-6)Online publication date: Oct-2018

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