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Digital Learning Technologies
COURSE

Digital Learning Technologies

INR 59
0.0 Rating
📂 Nasscom FutureSkills Prime

Description

Mastery of digital tools, platforms, and technologies that support continuous learning including Learning Management Systems, Personal Knowledge Management tools, online course platforms, mobile learning applications, and emerging technologies in education.

Learning Objectives

Learners will demonstrate proficiency in selecting, evaluating, and effectively utilizing digital learning technologies including LMS platforms, PKM systems, mobile learning apps, and emerging educational technologies. They will create integrated digital learning environments, develop digital literacy skills specific to learning contexts, and adapt to new educational technologies as they emerge. Learners will design personalized digital learning ecosystems that support their continuous learning goals and integrate seamlessly with their learning workflows.

Topics (8)

1
Learning Management Systems (LMS)

Comprehensive exploration of LMS platforms including features comparison, user interface navigation, content organization, assessment tools, and integration with other learning technologies.

2
Virtual and Augmented Reality Learning

Investigation of VR and AR applications in education including virtual laboratories, historical recreations, language immersion experiences, and hands-on skill training simulations.

3
Collaborative Learning Platforms

Exploration of digital platforms that facilitate collaborative learning including discussion forums, peer review systems, study groups, and professional learning communities.

4
Digital Learning Analytics

Introduction to learning analytics including data collection methods, visualization techniques, progress tracking systems, and evidence-based learning optimization strategies.

5
Personal Knowledge Management (PKM) Systems

Systematic approach to personal knowledge management including information capture, organization, connection, and retrieval using digital tools and methodologies inspired by the Zettelkasten method.

6
Massive Open Online Courses (MOOCs)

Comprehensive guide to MOOC platforms including course selection criteria, learning path design, engagement strategies, peer interaction, and completion techniques for maximizing learning outcomes.

7
Mobile Learning Applications

Exploration of mobile learning ecosystem including dedicated learning apps, podcast platforms, audiobook services, and microlearning applications designed for on-the-go learning experiences.

8
AI-Powered Learning Tools

Comprehensive exploration of AI applications in education including machine learning algorithms for personalized learning, natural language processing for content analysis, and intelligent tutoring systems.