Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements

Hristina Veljanova; Carla Barreiros; Nicole Gosch; Elisabeth Staudegger; Martin Ebner; Stefanie Lindstaedt

doi:10.1007/978-3-031-34411-4_37

Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements

Hristina Veljanova
, Carla Barreiros
, Nicole Gosch
, Elisabeth Staudegger
, Martin Ebner
, Stefanie Lindstaedt

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

With the rising complexity of technology and its introduction into educational settings, the question of trusting and designing trustworthy learning analytics (LA) systems has gained importance. Transparency is one of the values that can contribute to enhancing an LA system's trustworthiness. It has been included and discussed as a separate core value or principle in many ethical frameworks for LA. Even though these frameworks provide valuable contributions, they are mostly limited to the conceptual level. Defining what transparency entails in the context of LA is an important aspect, nevertheless, the translation and operationalisation of such abstract concepts into technology should be equally considered.

Originalsprache	englisch
Titel	Learning and Collaboration Technologies
Untertitel	10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I
Redakteure/-innen	Panayiotis Zaphiris, Andri Ioannou, Andri Ioannou
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer Nature Switzerland AG
Seiten	546-562
Seitenumfang	17
ISBN (elektronisch)	978-3-031-34411-4
ISBN (Print)	978-3-031-34411-4
DOIs	https://doi.org/10.1007/978-3-031-34411-4_37
Publikationsstatus	Veröffentlicht - 9 Juni 2023
Veranstaltung	10th Learning and Collaboration Technologies, held as part of HCI 2023: LCT 2023 - Kopenhagen, Dänemark Dauer: 23 Juli 2023 → 28 Juli 2023

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	14040 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	10th Learning and Collaboration Technologies, held as part of HCI 2023
Kurztitel	LCT 2023
Land/Gebiet	Dänemark
Ort	Kopenhagen
Zeitraum	23/07/23 → 28/07/23

ASJC Scopus subject areas

Theoretische Informatik
Allgemeine Computerwissenschaft

Fields of Expertise

Information, Communication & Computing

UN SDGs

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10.1007/978-3-031-34411-4_37

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Veljanova, H., Barreiros, C., Gosch, N., Staudegger, E., Ebner, M., & Lindstaedt, S. (2023). Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements. in P. Zaphiris, A. Ioannou, & A. Ioannou (Hrsg.), Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I (S. 546-562). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14040 LNCS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-34411-4_37

Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements. / Veljanova, Hristina; Barreiros, Carla; Gosch, Nicole et al.
Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I. Hrsg. / Panayiotis Zaphiris; Andri Ioannou; Andri Ioannou. Cham: Springer Nature Switzerland AG, 2023. S. 546-562 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14040 LNCS).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Veljanova, H, Barreiros, C, Gosch, N, Staudegger, E, Ebner, M & Lindstaedt, S 2023, Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements. in P Zaphiris, A Ioannou & A Ioannou (Hrsg.), Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 14040 LNCS, Springer Nature Switzerland AG, Cham, S. 546-562, 10th Learning and Collaboration Technologies, held as part of HCI 2023, Kopenhagen, Dänemark, 23/07/23. https://doi.org/10.1007/978-3-031-34411-4_37

Veljanova H, Barreiros C, Gosch N, Staudegger E, Ebner M , Lindstaedt S. Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements. in Zaphiris P, Ioannou A, Ioannou A, Hrsg., Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I. Cham: Springer Nature Switzerland AG. 2023. S. 546-562. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-34411-4_37

Veljanova, Hristina ; Barreiros, Carla ; Gosch, Nicole et al. / Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements. Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I. Hrsg. / Panayiotis Zaphiris ; Andri Ioannou ; Andri Ioannou. Cham : Springer Nature Switzerland AG, 2023. S. 546-562 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "With the rising complexity of technology and its introduction into educational settings, the question of trusting and designing trustworthy learning analytics (LA) systems has gained importance. Transparency is one of the values that can contribute to enhancing an LA system{\textquoteright}s trustworthiness. It has been included and discussed as a separate core value or principle in many ethical frameworks for LA. Even though these frameworks provide valuable contributions, they are mostly limited to the conceptual level. Defining what transparency entails in the context of LA is an important aspect, nevertheless, the translation and operationalisation of such abstract concepts into technology should be equally considered. In this paper, we focus on the question of how transparency can be translated into concrete design requirements in order to enhance the trustworthiness of LA systems. We present a normative framework in the form of an interdisciplinary Criteria Catalogue for trustworthy LA, which consists of seven core areas, including transparency. Second, we demonstrate how transparency can be translated and operationalised into more specific and low-level elements by using an example of the Learners{\textquoteright} Corner LA dashboard developed within the project “Learning Analytics – Students in Focus”. Third, we share the results of a study conducted to better understand students{\textquoteright} information needs in relation to LA tools and evaluate our design choices for the introduction of three quick information buttons within the Learners{\textquoteright} Corner.",

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AU - Ebner, Martin

AU - Lindstaedt, Stefanie

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Operationalising Transparency as an Integral Value of Learning Analytics Systems -- From Ethical and Data Protection to Technical Design Requirements

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Fields of Expertise

UN SDGs

Zugriff auf Dokument

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