Usability Issues in Advanced Distributed Learning Applications: What are the Implications for Learning?

Autor:	Wendi L. Buff, David O. Holness, James A. Pharmer
Rok vydání:	2002
Předmět:	Data collection business.industry Computer science Applied psychology Distance education Usability computer.software_genre Fuzzy logic Session (web analytics) Medical Terminology Distributed learning Data mining business computer Medical Assisting and Transcription
Zdroj:	Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 46:1305-1309
ISSN:	1071-1813 2169-5067
DOI:	10.1177/154193120204601414
Popis:	This paper describes the results of data collection that occurred during the alternative format session presented to the 45th annual meeting of HFES. During the session, six participants were briefed on fuzzy logic as an alternative to regression for analyzing policy-capturing data and on usability issues associated with Advanced Distance Learning (ADL) applications. Participants then rated the extent to which usability violations impacted learning in three different ADL environments. After the conference, the validity of the regression and fuzzy models were assessed across the three ADL applications. In addition, exploratory analyses were performed in order to gain insight into the relative impact of usability principles on learning in ADL applications. Results revealed no statistically significant differences between the predictive validities of either modeling technique across the ADL applications. In addition, judgements of which usability violations had a more negative impact on learning did depend on the type of ADL application
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0710b483d9c1d583c2b42b5ed60750e4 https://doi.org/10.1177/154193120204601414 Zobrazit plný text záznamu