Paper Info
Title
Proposing an Evaluation Task for Identifying Struggling Students in Online Courses.
Abstract
This paper describes and proposes a community evaluation task that is designed for evaluating learning systems that can automatically identify different types of problems, that students may encounter with their online courses. As a basis, the learning systems would use logs from an artificial learning environment to analyse the student interactions and behaviour with the online course. The learning systems will also use specific domain models to ensure that the course requirements such as task deadlines and learning content conditions (e.g., pre-requisites) are addressed. As a result, the outputs (identified student problems) can be used by a) the learning systems to provide personalised feedback and direction to students to overcome a problem b) notify an instructor for a more professional support and response c) inform a learning designer for potential problems on the design of the course.
Year
DOI
Venue
2017
10.1145/3099023.3099049
UMAP (Adjunct Publication)
Field
DocType
Citations 
Educational technology,Active learning,Active learning (machine learning),Computer science,Synchronous learning,Online course,Learning environment,Cooperative learning,Multimedia,Domain model
Conference
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Athanasios Staikopoulos19411.11
Owen Conlan244763.88