The article discusses the critical role of feedback in learning and its varying impacts depending on context and delivery. It underscores the significance of immediate and explanatory feedback for learner engagement. Automated feedback systems such as OnTask have emerged to enhance feedback scalability, but their application in tutor training has not been extensively explored. The article also touches on templated feedback methods that guide tutors in delivering effective responses, highlighting the need for thorough investigation into innovative feedback strategies for educational improvement.
The effectiveness of feedback depends on its relevance to the learning context, its timing, and its focus on addressing misconceptions, promoting active learner engagement.
Automated feedback systems like OnTask have been utilized to provide educators with scalable feedback based on conditional rules, yet their use in tutor training remains limited.
#feedback-in-education #tutor-training #automated-feedback-systems #learning-outcomes #effective-tutoring-practices
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