Article Green Open Access 2023

Browsing to learn: How computer and software engineering students use online platforms in learning activities

Journal of Computer Assisted Learning
Journal · Vol. 39 · Issue 2 · pp. 676-693
Abstract

Background: The surge of online platforms has generated interest in how specialized platforms support formal and informal learning in various disciplinary domains. Knowledge is still limited regarding how undergraduate students navigate and use platforms to learn. Objectives: This study explores computer and software engineering students' learning practices, wherein online platforms are used as resources for both curricular learning activities and students' interest-driven learning. Methods: The learning practices of 73 students were examined using a mixed-methods design and a conceptualization of practices accounting for the context and purpose of their enactment. The dataset includes students' self-reports on domain-specific learning activities, three-month-long web-browsing history of multiple platforms and stimulated-recall interviews. The data were analysed through latent class and thematic analyses. Results and Conclusion: Five distinct patterns were found in the use of online platforms. These patterns show that different types of platforms were used purposely and in combination during curricular and interest-driven activities aimed at learning software development. Moreover, students' purposes were driven by both the need to progress in their learning activities and the development of their interest in software development. The findings highlight the complexity of students' learning with online platforms, which develop quite extensively beyond curricular boundaries. Implications: The findings stress the need to recognize that undergraduate students' learning practices involve multiple online platforms and activities beyond the formal curriculum and that these play a key role in developing students' interests in learning software development. Moreover, our findings indicate the importance of taking into account the way students' learning practices unfold within platforms and how these relate to domain-specific practices. © 2022 The Authors. Journal of Computer Assisted Learning published by John Wiley & Sons Ltd.

Keywords

Author Keywords

Higher education Software development online platforms ecological perspectives learning practices online resources

Index Keywords

Author Affiliations
Department of Education, Universitetet i Oslo, Oslo, Oslo, Norway
Department of Human Centred Computing, Monash University, Melbourne, VIC, Australia
Funding & Acknowledgements
U.S. Department of Education, ED
We thank Engage Lab, the Department of Education and the HEDWORK research group, at the University of Oslo, for their support.
References 10 References
1 Aniche, Maurício Finavaro, How Modern News Aggregators Help Development Communities Shape and Share Knowledge, Proceedings - International Conference on Software Engineering, 2018-January, pp. 499-510, (2018)
2 Mplus Web Notes, (2014)
3 Azevedo, Flávio S., Lines of practice: A practice-centered theory of interest relationships, Cognition and Instruction, 29, 2, pp. 147-184, (2011)
4 Baker, Lisa Renee, Using Pinterest in Undergraduate Social Work Education: Assignment Development and Pilot Survey Results, Journal of Social Work Education, 53, 3, pp. 535-545, (2017)
5 Barron, Brigid J.S., Interest and self-sustained learning as catalysts of development: A learning ecology perspective, Human Development, 49, 4, pp. 193-224, (2006)
6 Boyd, Danah Michele, Social network sites: Definition, history, and scholarship, Journal of Computer-Mediated Communication, 13, 1, pp. 210-230, (2007)
7 APA Handbook of Research Methods in Psychology, (2012)
8 Brown, Cheryl, Online content creation: looking at students’ social media practices through a Connected Learning lens, Learning, Media and Technology, 41, 1, pp. 140-159, (2016)
9 Bruce, Bertram Camp, Educational technology: Media for inquiry, communication, construction, and expression, Journal of Educational Computing Research, 17, 1, pp. 79-102, (1997)
10 Campbell, John L., Coding In-depth Semistructured Interviews: Problems of Unitization and Intercoder Reliability and Agreement, Sociological Methods and Research, 42, 3, pp. 294-320, (2013)
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