research-article

The Impact of Self-Theories to Academic Achievement and Soft Skills in Undergraduate CS Studies: First Findings

Authors:

Mikko-Ville Apiola,

Mikko-Jussi LaaksoAuthors Info & Claims

ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education

Pages 16 - 22

https://doi.org/10.1145/3304221.3319766

Published: 02 July 2019 Publication History

Abstract

There is strong evidence of the impact of self-theories to students' academic achievement and behavior in many domains of education, including CS. However, the research on self-theories in CSE are far from conclusive. In this research, we studied 1st year CS and CE students' self-theories and looked at associations to academic achievement in their first courses, as well as the students' conceptualisations of intelligence. Contradictory to previous research, students with a fixed view on intelligence received the best exam scores. Students' conceptualisations of intelligence were found to lean towards cognitive g-theories of intelligence. These initial findings show a number of crucially important future research directions in relation to self-theories, soft skills development, and academic achievement in CS studies.

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Cited By

Cortázar CGoñi IOrtiz ANussbaum M(2024)Are Professional Skills Learnable? Beliefs and Expectations Among Computing GraduatesACM Transactions on Computing Education10.1145/364155124:2(1-25)Online publication date: 24-Jan-2024
https://dl.acm.org/doi/10.1145/3641551
Apiola MLaakso MIvanovic M(2020)Enhancing Learning Opportunities for CS: Experiences from Two Learning SystemsMethodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops10.1007/978-3-030-52287-2_19(187-196)Online publication date: 14-Aug-2020
https://doi.org/10.1007/978-3-030-52287-2_19
Apiola MSutinen E(2020)Design science research for learning software engineering and computational thinking: Four casesComputer Applications in Engineering Education10.1002/cae.2229129:1(83-101)Online publication date: 19-Jun-2020
https://doi.org/10.1002/cae.22291
Show More Cited By

Index Terms

The Impact of Self-Theories to Academic Achievement and Soft Skills in Undergraduate CS Studies: First Findings
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computational science and engineering education
        Computer science education

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cover image ACM Conferences

ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education

July 2019

583 pages

ISBN:9781450368957

DOI:10.1145/3304221

General Chairs:
Bruce Scharlau
University of Aberdeen, UK
,
Roger McDermott
Robert Gordon University, UK
,
Program Chairs:
Arnold Pears
KTH Royal Institute of Technology, Sweden
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Mihaela Sabin
University of New Hampshire, USA

Copyright © 2019 ACM.

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Published: 02 July 2019

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ITiCSE '19: Innovation and Technology in Computer Science Education

July 15 - 17, 2019

Aberdeen, Scotland Uk

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Cited By

Cortázar CGoñi IOrtiz ANussbaum M(2024)Are Professional Skills Learnable? Beliefs and Expectations Among Computing GraduatesACM Transactions on Computing Education10.1145/364155124:2(1-25)Online publication date: 24-Jan-2024
https://dl.acm.org/doi/10.1145/3641551
Apiola MLaakso MIvanovic M(2020)Enhancing Learning Opportunities for CS: Experiences from Two Learning SystemsMethodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops10.1007/978-3-030-52287-2_19(187-196)Online publication date: 14-Aug-2020
https://doi.org/10.1007/978-3-030-52287-2_19
Apiola MSutinen E(2020)Design science research for learning software engineering and computational thinking: Four casesComputer Applications in Engineering Education10.1002/cae.2229129:1(83-101)Online publication date: 19-Jun-2020
https://doi.org/10.1002/cae.22291
Apiola MKarunaratne TKaila ELaakso M(2019)Experiences from Digital Learning Analytics in Finland and Sweden: A Collaborative Approach2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)10.23919/MIPRO.2019.8757204(627-632)Online publication date: May-2019
https://doi.org/10.23919/MIPRO.2019.8757204
Kajasilta HApiola MLokkila EVeerasamy ALaakso M(2019)Measuring Students’ Stress with Mood Sensors: First FindingsAdvances in Web-Based Learning – ICWL 201910.1007/978-3-030-35758-0_9(92-99)Online publication date: 16-Nov-2019
https://doi.org/10.1007/978-3-030-35758-0_9

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