CAD Training for Digital Product Quality: A Formative Approach with Computer-Based Adaptable Resources for Self-Assessment

Autor/inn/en	Agost, Maria-Jesus; Company, Pedro; Contero, Manuel; Camba, Jorge D.
Titel	CAD Training for Digital Product Quality: A Formative Approach with Computer-Based Adaptable Resources for Self-Assessment
Quelle	In: International Journal of Technology and Design Education, 32 (2022) 2, S.1393-1411 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Agost, Maria-Jesus) ORCID (Company, Pedro) ORCID (Contero, Manuel) ORCID (Camba, Jorge D.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0957 7572
DOI	10.1007/s10798-020-09651-5
Schlagwörter	Computer Assisted Design; Self Evaluation (Individuals); Scoring Rubrics; Formative Evaluation; Trainees; Training Methods + Suchen Sie Ihr Suchwort? Scoring formulas; Auswertungsbogen; Auszubildender; Weibliche Auszubildende; Didaktik; Trainingsmaßnahme
Abstract	As the engineering and manufacturing sectors transform their processes into those of a digital enterprise, future designers and engineers must be trained to guarantee the quality of the digital models that are created and consumed throughout the product's lifecycle. Formative training approaches, particularly those based on online rubrics, have been proven highly effective for improving CAD modeling practices and the quality of the corresponding outcomes. However, an effective use of formative rubrics to improve performance must consider two main factors: a proper understanding of the rubric and an accurate self-assessment. In this paper we develop these factors by proposing CAD training based on self-assessment through online formative rubrics enriched with adaptable resources. We analyzed self-assessment data, such as time spent, scoring differences between trainee and instructor or use of the adaptable resources, of fourteen different CAD exams. Results show that resources are more effective when used without any incentives. The comparison of assessments by quality criterion can facilitate the identification of issues that may remain unclear to trainees during the learning process. These results can guide the definition of new strategies for self-training processes and tools, which can contribute to the higher-quality outcomes and CAD practices that are required in model-bases engineering environments. (As Provided).
Anmerkungen	Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01