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Title: Harnessing AI for enhanced learning: Insights from the robotics academy
Harnessing AI for enhanced learning: Insights from the robotics academyHow technology is tailoring personalised learning experiences for the AEC sector. Personalised learning, tailoring learning content and sequence for differences in ability, experience, and sociocultural backgrounds hold the promise to transform education. This transformation is propelled by three significant advancements in emerging technologies, each vital in realising personalised learning. The first of these advancements is in learning analytics, defined as the measurement, collection, analysis, and reporting of learner data (Siemens, 2013). Enhanced by AI and data mining techniques, learning analytics significantly deepens our understanding of learning processes by systematically monitoring learners’ performance and actions. This involves analyzing extensive datasets from learner interactions to uncover patterns, challenges, and cognitive load, providing a comprehensive view of the learning experience.  more » « less
Award ID(s):
2315647 2202610 1504898
PAR ID:
10514337
Author(s) / Creator(s):
Corporate Creator(s):
Publisher / Repository:
Open Access Government
Date Published:
Journal Name:
Open Access Government
Volume:
41
Issue:
1
ISSN:
2516-3817
Page Range / eLocation ID:
264 to 265
Subject(s) / Keyword(s):
Industrial Robotics Intelligent Adaptive Learning Environments Robotic Training
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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