Measuring professional competence using computer-generated log data.

Autor/inn/en	Spliethoff, Luca; Abele, Stephan
Titel	Measuring professional competence using computer-generated log data.
Quelle	Aus: Goller, Michael (Hrsg.); Kyndt, Eva (Hrsg.); Paloniemi, Susanna (Hrsg.); Damsa, Crina (Hrsg.): Methods for researching professional learning and development. Challenges, applications and empirical illustrations. Cham: Springer (2022) S. 165-186 PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Professional and practice-based learning. 33
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-031-08517-8; 978-3-031-08518-5
DOI	10.1007/978-3-031-08518-5_8
Schlagwörter	Kompetenzmessung; Problemlösen; Fachwissen; Computerunterstütztes Verfahren; Ausbildungsberuf; Kraftfahrzeugmechatroniker; Kompetenzentwicklung; Logdatei; Auszubildender
Abstract	One of the benefits of computer-based assessments lies in the automatic generation of log data. Such behavioural process data provide a time-stamped documentation of students' interactions with the assessment system (e.g., mouse clicks). This chapter explores the usefulness of computer-generated log data for the measurement of professional competence and their potential for the research on professional learning and development. Based on a selection of studies, we illustrate how interindividual differences in task completion processes can be analysed with the help of log data, e.g. to identify the use of certain problem-solving strategies, or to reveal subgroups of students with efficiency barriers. We further present our own research, where we applied a theory on the diagnostic process (Abele, Vocat Learn 11(1):133-159, 2018) in order to assess diagnostic strategies (Abele and von Davier, CDMs in vocational education: assessment and usage of diagnostic problem-solving strategies in car mechatronics. In: von Davier M, Lee YS (eds) Handbook of diagnostic classification models. 2019) in the domain of car mechatronics using log data. A profound understanding of interindividual process differences may supplement a merely product-oriented competence measurement and pave the way for a more process-oriented approach. Challenges concerning the assessment, analysis and interpretation of log data will be discussed. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2025/1