Eliciting best practices in digital literacy tutoring: A cognitive task analysis approach
Document Type
Conference Proceeding
Publication Date
5-14-2017
Department
Department of Cognitive and Learning Sciences; Department of Computer Science
Abstract
Responding to the increasing need for all citizens to be digitally literate, our research group has led a program for six years that addresses older adults’ questions about digital devices and applications. Our patrons confront a range of socio-technical barriers as they adopt new technology and explore the digital world, and our tutors have developed particular practices to identify and overcome these barriers. Using a cognitive task analysis methodology, we conducted semi-structured interviews with experienced tutors. From these, we derived a set of effective and replicable practices that can form the basis for similar programs elsewhere.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recommended Citation
Steelman, K. S.,
Tislar, K.,
Ureel, L. C.,
&
Wallace, C.
(2017).
Eliciting best practices in digital literacy tutoring: A cognitive task analysis approach.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
10297 LNCS, 447-460.
http://doi.org/10.1007/978-3-319-58530-7_34
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/4141