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Description
The Design and Use of Technologies for Education (DUTE) module delves into the intersection of analytics and AI technology in the educational sector, blending theoretical听understanding with practical application. This module specifically focuses on learning analytics tools, AI technologies, and their approaches, offering a comprehensive view of how these technologies are shaping educational outcomes.
Key theoretical perspectives on learning form the foundation of the module, aiding students in comprehending the nuances of various learning analytics designs and implementations in educational settings. This understanding is pivotal for effectively critiquing and evaluating AI and analytics tools as educational aids in diverse contexts.
DUTE rigorously explores literature from the realms of learning analytics, learning sciences, and the practical design and evaluation methods of AI in education. A significant emphasis is placed on evidence-informed decision-making, particularly in the design, implementation, and evaluation of educational technologies. This approach ensures that the technologies not only align with educational goals but also demonstrate tangible efficacy in real-world educational settings.
Adopting a learner-centred approach, the module utilizes context-based, project-based, and inquiry-based pedagogies. This framework encourages students to take charge of their learning journey, fostering a more engaged and proactive learning environment. Personalized analytics feedback is a core component of the module, complemented by weekly group assignments that are integral to both the learning process and assessment. Through this structure, the DUTE module equips students with the critical skills and knowledge needed to navigate and contribute to the rapidly evolving landscape of analytics and AI in education.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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