Toward Better Outcomes in Audiology Distance Education: An Educational Data Mining Approach

This article introduces concepts and a general taxonomy used by the educational data mining (EDM) community, as well as examples of their applications, with the aims of providing audiology educators with a referential basis for developing this area. A narrative review was carried out to present an o...

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Published inAmerican journal of audiology Vol. 27; no. 3S; pp. 513 - 525
Main Authors Penteado, Bruno Elias, Paiva, Paula Maria Pereira, Morettin-Zupelari, Marina, Isotani, Seiji, Ferrari, Deborah Viviane
Format Journal Article
LanguageEnglish
Published United States American Speech-Language-Hearing Association 01.11.2018
Subjects
Analysis
Artificial intelligence
Audiology
Audiology - education
Collaboration
Cooperative learning
Data Analysis
Data mining
Data Mining - methods
Distance learning
Education
Education, Distance - methods
Educational Environment
Health education
Higher education
Humans
Information retrieval
Internet
Learning Analytics
Learning Processes
Medical personnel
Occupational training
Online instruction
Professional Education
Professionals
Shortages
Special Issue: Internet and Audiology
Students
Students, Health Occupations
Taxonomy (Biology)
Teaching methods
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Summary:This article introduces concepts and a general taxonomy used by the educational data mining (EDM) community, as well as examples of their applications, with the aims of providing audiology educators with a referential basis for developing this area. A narrative review was carried out to present an overview of EDM and its main methods. Some of these methods were exemplified with analysis of real data from an Internet-based specialization course on pediatric auditory rehabilitation. The review introduced EDM main concepts and applications and described methods from its area. Real data examples illustrated EDM use to predict interpersonal help-seeking, model interpersonal interaction, analyze students' trajectories within a course's module, and understand how students approached group assignments. Some of the insights provided by EDM to support teaching and learning processes were also described. EDM methods offer new tools to discover knowledge from digital traces (i.e., logs) and support key stakeholders (students, instructors, or course administrators) to raise awareness about course dynamics. This approach has the potential to foster a better understanding and management of educational processes in audiology distance education.
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Publisher Note: This article is part of the Special Issue: Internet and Audiology.
Disclosure: The Samaritano Association (SA) is a philanthropic organization responsible for managing the financial resources from Proadi/SUS Grant 25000.024953/2015-89. Through this grant, SA paid for expenses such as hosting the MoodleTM platform used in this research, traveling and housing for students and instructors (when applicable), producing didactic materials, and providing stipends for instructors. The authors Paula Paiva, Marina Morettin-Zupelari, and Deborah Ferrari have declared they received such stipends. The authors have declared that no other competing interests existed at the time of publication.
Editor-in-Chief: Sumitrajit (Sumit) Dhar
Editor: Ariane Laplante-Lévesque
ISSN:1059-0889
1558-9137
DOI:10.1044/2018_AJA-IMIA3-18-0020