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How AI Can Address Critical Challenges Facing Higher Education

ED Surge

Artificial intelligence is increasingly being integrated into higher education to address challenges such as personalized learning and operational efficiency. While AI has the ability to enhance personalized learning experiences, there are concerns about the quality of education delivered through AI-driven platforms.

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8 EdTech Trends to Watch Out for This 2020

Ask a Tech Teacher

From digital certificates to learning analytics, here are eight EdTech trends to look forward to in the coming months. Video-assisted Learning. This grants schools more insight into their learning behavior, which then helps teachers come up with more effective curriculums in the future. Artificial Intelligence.

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7 Edtech Trends to Watch in 2022: a Startup Guide for Entrepreneurs

ED Surge

Early stage edtechs are also participating in the AWS EdStart program, the AWS edtech virtual startup accelerator, designed to help entrepreneurs build the next generation of online learning, analytics and campus management solutions on the AWS Cloud.

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How AI and Machine Learning Addresses Challenges in Educational Content Creation and Instruction

Magic EdTech

Huge amounts of data fill today’s world, and that data is driving big breakthroughs in artificial intelligence (AI) research and the field of machine learning. Machine learning is a technology that uses data to answer questions or make predictions, and is a type of AI. education will grow by 47.5% from 2017-2021.

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How Technology Is Powering Learning

Magic EdTech

It is a regulated mechanism of data capturing, analyses, and custom tailoring of learning solutions, just as Learning Analytics is becoming increasingly crucial to evaluate student engagement, traction, and learning output. Weaving in accessibility features makes content available and universal to all users.

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How Technology Is Powering Learning

Magic EdTech

It is a regulated mechanism of data capturing, analyses, and custom tailoring of learning solutions, just as Learning Analytics is becoming increasingly crucial to evaluate student engagement, traction, and learning output. Weaving in accessibility features makes content available and universal to all users.