#educational-technology

#educational-technology

The EdTech sector has witnessed explosive growth with innovations like AI-powered platforms and adaptive learning systems, promising to revolutionize how we teach and learn.

User roles and permissions in Learning Management Systems (LMSs) are crucial for ensuring operational integrity, data privacy, and delivering seamless learner experiences.

Anthropic's new learning mode provides a Socratic approach, enabling users to understand concepts rather than just receiving direct answers. This promotes guided discovery in learning.

Study Mode incorporates hints, Socratic-style questioning, and knowledge checks that adapt to a user's skill level, promoting active learning and comprehension.

Learning today transcends traditional methods, embracing AI tools that create engaging content like onboarding documents and custom visuals effortlessly, transforming training experiences.

AI study guide makers can transform chaotic notes and extensive reading materials into clear, concise revisions. They automate organization and create review-ready guides.

AI-induced anxiety among students manifests as overload, burnout, and diminished motivation, complicating their academic experience and overall mental well-being.

The Poorvu Center is seeking a new associate director to integrate quantitative methods into teaching, addressing the unique challenges of student quantitative literacy.

Matatalab's hands-on coding kits blend physical play with learning, promoting foundational programming concepts for young learners through interactive, screen-free experiences.

Artificial Intelligence is becoming an integral part of Learning and Development, offering transformative possibilities like personalized learning, automation, and content creation for training programs.

At Big Think+, we believe learning doesn't end when the video stops - it deepens when learners reflect, apply insights, and engage in meaningful conversations.

In a world where classrooms evolve into intelligent, interactive platforms, learners must take control of their learning journeys through strong self-regulatory skills.

Developing a custom AI model that adapts learning paths based on user behavior, performance, and learning preferences is one of the most significant cost drivers.

Teaching complex workflows can be enhanced through interactive video techniques like overlays, knowledge checks, and branching scenarios for better engagement and retention.