Executive Development Programme in Technology-Enhanced Learning Evaluation: Smart Systems

• Introduction to Technology-Enhanced Learning Evaluation: Understanding the primary concepts, benefits, and challenges of integrating technology in learning evaluation.
• Smart Systems Overview: Exploring the role of smart systems in technology-enhanced learning evaluation, emphasizing their capabilities and limitations.
• Data Collection Methods in Smart Systems: Delving into various data collection techniques, including sensors, wearables, and IoT devices, for effective learning evaluation.
• Data Analysis Techniques for Technology-Enhanced Learning: Mastering analytical methods, such as machine learning, AI, and big data, for extracting valuable insights from collected data.
• Ethics and Privacy in Smart Learning Systems: Addressing ethical considerations, such as data privacy, security, and consent, in technology-enhanced learning evaluation.
• Designing Effective Feedback Mechanisms: Developing efficient and actionable feedback systems for learners, educators, and administrators using smart technologies.
• Implementing and Managing Smart Learning Systems: Guiding participants in the successful deployment and management of smart learning systems, emphasizing best practices and potential pitfalls.
• Evaluating the Impact of Smart Learning Systems: Measuring the effectiveness of technology-enhanced learning evaluation in improving learning outcomes, engagement, and retention.
• Future Trends in Technology-Enhanced Learning Evaluation: Anticipating and adapting to emerging trends, such as extended reality, adaptive learning, and personalized feedback, in smart learning systems.