Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool

Autor/inn/en	Gedrimiene, Egle; Celik, Ismail; Mäkitalo, Kati; Muukkonen, Hanni
Titel	Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool
Quelle	In: Journal of Learning Analytics, 10 (2023) 1, S.54-70 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Gedrimiene, Egle) ORCID (Celik, Ismail) ORCID (Mäkitalo, Kati) ORCID (Muukkonen, Hanni)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Learning Analytics; Accountability; Trust (Psychology); Artificial Intelligence; Career Guidance; Career Pathways; Ethics; Users (Information); Accuracy; Predictor Variables; Intention; Computer Oriented Programs; Foreign Countries; Career Counseling; Finland + Suchen Sie Ihr Suchwort? Verantwortung; Künstliche Intelligenz; Berufsorientierung; Ethik; Benutzerprofil; Nutzer; Prädiktor; Computerprogramm; Ausland; Finnland
Abstract	Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their users and how perceptions of these variables relate to user behaviour. In this study, we investigate user experiences of an LA tool in the context of career guidance, which plays a crucial role in supporting nonlinear career pathways for individuals. We review the ethical challenges of big data, AI, and LA in connection to career guidance and analyze the user experiences (N = 106) of the LA career guidance tool, which recommends study programs and institutions to users. Results indicate that the LA career guidance tool was evaluated as trustworthy but not transparent. Accuracy was found to be a stronger predictor for the intention to follow on the recommendations of the LA guidance tool than was understanding the origins of the recommendation. The user's age emerged as an important factor in their assessment of transparency. We discuss the implications of these findings and suggest emphasizing accuracy in the development of LA tools for career guidance. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01