A4 Article in conference proceedings
Understanding the Study Experiences of Students in Low Agency Profile : Towards a Smart Education Approach (2020)

Heilala, V., Jääskelä, P., Kärkkäinen, T., & Saarela, M. (2020). Understanding the Study Experiences of Students in Low Agency Profile : Towards a Smart Education Approach. In A. El Moussati, K. Kpalma, M. G. Belkasmi, M. Saber, & S. Guégan (Eds.), SmartICT 2019 : Advances in Smart Technologies Applications and Case Studies (684, pp. 498-508). Springer. Lecture Notes in Electrical Engineering. https://doi.org/10.1007/978-3-030-53187-4_54

JYU authors or editors

Publication details

All authors or editors: Heilala, Ville; Jääskelä, Päivikki; Kärkkäinen, Tommi; Saarela, Mirka

Parent publication: SmartICT 2019 : Advances in Smart Technologies Applications and Case Studies

Parent publication editors: El Moussati, Ali; Kpalma, Kidiyo; Belkasmi, Mohammed Ghaouth; Saber, Mohammed; Guégan, Sylvain

Place and date of conference: Saidia, Morocco, 26.-28.2019

ISBN: 978-3-030-53186-7

eISBN: 978-3-030-53187-4

Journal or series: Lecture Notes in Electrical Engineering

ISSN: 1876-1100

eISSN: 1876-1119

Publication year: 2020

Volume: 684

Pages range: 498-508

Number of pages in the book: 740

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-53187-4_54

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/71367

Abstract

In this paper, we use student agency analytics to examine how university students who assessed to have low agency resources describe their study experiences. Students ( n=292 ) completed the Agency of University Students (AUS) questionnaire. Furthermore, they reported what kinds of restrictions they experienced during the university course they attended. Four different agency profiles were identified using robust clustering. We then conducted a thematic analysis of the open-ended answers of students who assessed to have low agency resources. Issues relating to competence beliefs, self-efficacy, student-teacher relations, time as a resource, student well-being, and course contents seemed to be restrictive factors among the students in the low agency profile. The results could provide guidelines for designing systems for smart education.

Keywords: students; learning; human agency; independent initiative; performance (coping); well-being; teacher-pupil relationship; analysis

Free keywords: atudent agency analytics; learning analytics; robust clustering; thematic analysis; knowledge graph

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 1