ERIC Number: EJ1452760
Record Type: Journal
Publication Date: 2024
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1449-3098
EISSN: EISSN-1449-5554
Available Date: N/A
The Application of Curriculum Analytics for Improving Assessments and Quality Assurance in Higher Education
Australasian Journal of Educational Technology, v40 n4 p20-37 2024
Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic studies. Well-mapped curricula that reference relevant standards and articulate aligned assessments are foundational for effective teaching and learning. Curriculum quality assurance measures are commonly accepted as a means of assuring accurate mapping. Assurance processes are, however, resource-intensive, error-prone and reflect human biases. Few studies have adopted an analytical approach to ensure programme quality assurance steps are traceable to a fundamental level of these maps: single courses and their assessment items. In this study, we adopted a novel curriculum analytics methodology to validate the mapping of professional standards to course-based assessments in a higher education degree program. Using an Australian initial teacher education programme as a case study, we applied and analysed results from a structured methodology that may be implemented across other disciplinary programs. Practical implications for quality assurance in higher education and the methodological contributions of this novel approach are further discussed.
Descriptors: Foreign Countries, Teacher Education Curriculum, Teacher Education, Undergraduate Students, Concept Mapping, College Curriculum, Curriculum Based Assessment, Curriculum Design, Curriculum Development, Curriculum Evaluation, Curriculum Research, Integrated Curriculum, Quality Assurance, Teacher Expectations of Students, Instructional Effectiveness, Program Validation, Test Bias, Standards, Evidence Based Practice, Decision Making, Data Use
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
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia
Grant or Contract Numbers: N/A
Author Affiliations: N/A