Algorithm appreciation or aversion? Comparing in-service and pre-service teachers’ acceptance of computerized expert models
Although computerized expert models (i.e., algorithms) could improve educational decisions and judgments, initial research has demonstrated that teachers, like other professional groups, tend to be “algorithm averse.” In the current study, we use behavioral and questionnaire data to examine the exte...
Main Author: | Esther Kaufmann |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
|
Series: | Computers and Education: Artificial Intelligence |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X21000229 |
Similar Items
-
An associational study: preschool teachers’ acceptance and self-efficacy towards Educational Robotics in a pre-service teacher training program
by: Despoina Schina, et al.
Published: (2021-05-01) -
Mobile learning technology readiness and acceptance among pre-service teachers in Pakistan during the COVID-19 pandemic
by: Muhammad Zaheer Asghar, et al.
Published: (2021-03-01) -
The school of hard knocks: Pre-service teachers’ mindset and motivational changes during their practicum
by: Eleftherios K Soleas, et al.
Published: (2020-07-01) -
Training Pre-Service Language Teachers
by: Janez Skela
Published: (2004-12-01) -
From Worldviews to Classrooms: Framing Evolution Acceptance in Pre-Service Science Teachers in the Southeastern United States
by: Amanda Glaze
Published: (2018-01-01)