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Formative Assessment of Group Work Skills: An Analytics-Enabled Conceptual Framework

Title: Formative Assessment of Group Work Skills: An Analytics-Enabled Conceptual Framework
Language: English
Authors: Natasha Arthars (ORCID 0000-0002-3815-2515); Kate Thompson (ORCID 0000-0003-0738-0205); Henk Huijser (ORCID 0000-0001-9699-4940); Steven Kickbusch (ORCID 0000-0002-3929-6289); Samuel Cunningham; Gavin Winter (ORCID 0000-0003-0409-8765); Roger Cook (ORCID 0000-0002-1145-9330); Lori Lockyer (ORCID 0000-0003-1517-2342)
Source: Australasian Journal of Educational Technology. 2024 40(4):139-154.
Availability: Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Peer Reviewed: Y
Page Count: 16
Publication Date: 2024
Document Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Descriptors: Formative Evaluation; Cooperative Learning; College Students; Student Evaluation; Learning Analytics; Data Collection; Feedback (Response); Progress Monitoring; Group Activities; Foreign Countries
Geographic Terms: Australia
DOI: 10.14742/ajet.9444
ISSN: 1449-3098; 1449-5554
Abstract: Assessing group work formatively in higher education poses a significant challenge. The complexity of evaluating individual contributions is compounded by the lack of efficient and effective methods for tracking, analysing and assessing individual engagement and contributions, which can impede timely feedback and the development of group work skills. This paper contributes to the growing body of research on collaboration analytics, which focuses on learning analytics (LA) in collaborative settings, and formative assessment while providing practical guidance for educators seeking to enhance formative assessment practices. The potential enhancement lies at the intersection between analytics technology and assessment design. In this paper, we present a conceptual framework that can harness multimodal data collection as well as LA to formatively assess and provide feedback on individual engagement and contributions to group work across physical and digital spaces. Drawing on research that considers design for learning, conjecture mapping, assessment design, multimodal LA and feedback, we outline a structured approach to developing formative assessment of group work skills in collaborative projects and higher education contexts.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1452778
Database: ERIC