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...

Full description

Saved in:
Bibliographic Details
Published in:American journal of audiology 2018-11, Vol.27 (3S), p.513-525
Main Authors: Penteado, Bruno Elias, Paiva, Paula Maria Pereira, Morettin-Zupelari, Marina, Isotani, Seiji, Ferrari, Deborah Viviane
Format: Article
Language:English
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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.
ISSN:1059-0889
1558-9137
DOI:10.1044/2018_AJA-IMIA3-18-0020