In this video, we’ll be discussing the advances in AI and its impact on education. We’ll explore what equitable learning is, how virtual education is changing the way we learn, and the future of learning as a whole. We will talk a little about Chat GPT and DR Melissa Sassi will explain what the future of education and the future of learning will look like.
If you’re interested in the future of education, then this video is for you! We’ll discuss the implications of advances in AI on education, and how they’re changing the way we learn. Watch and learn as we explore the potential implications of digital learning on education!
In this interview, Nathaniel Schooler interviews Dr Melissa Sassi – CEO and Co-Founder Of Skills Hustle to discuss these crucial topics.
They discuss these three topics:
The Future of equitable learning
The Future of online learning.
Overview: how technology is shaping the future of education
AI and the Future of Education: A Podcast Recap
In this podcast episode, Dr. Melissa Sassi, an expert in technology and education, discusses the transformative impact of AI on the education industry. The conversation covers the history of technology in education, the potential of AI to revolutionize teaching methods, and the importance of data privacy in an AI-driven education system.
The Growing Ed Tech Market and AI Adoption
With a market cap of around 230 billion dollars, the ed tech market is expected to reach over 400 billion dollars in the next few years. AI in education, currently in its early stages, is anticipated to be worth 20 billion dollars by 2027. It is projected that almost half of all learning management systems will incorporate AI solutions. AI can reduce the workload of educators by 20% to 40%, augmenting their work rather than replacing it. Despite 86% of educators believing that AI is a vital part of education, 39% have not yet implemented it, indicating a need for further adoption and skill development.
Equitable Learning and Personalized Journeys
Dr. Sassy discusses the future of equitable learning, emphasizing the potential of AI and machine learning to analyze learning styles based on outcomes, identify learning patterns and preferences, and create personalized learning journeys. This approach can lead to more equitable learning experiences by enabling individuals to access their preferred way of learning.
Data-Driven Education and Information Literacy
Technology is shaping the future of education through data-driven, predictive modelling and personalization. However, there are risks and challenges associated with technology in education, particularly regarding values, ethics, and privacy. Dr. Sassi stresses the importance of information literacy to decipher trustworthy information and the need to balance the benefits of technology with concerns around privacy, security, and safety.
Online Learning: Opportunities and Challenges
Online learning, with the help of AI, offers numerous benefits, including faster learning, focusing on relevant skills, and improved education outcomes. However, it is essential to ensure fairness, transparency, and accountability by maintaining unbiased algorithms and outputs. Online learning also presents opportunities for teachers to save time and for learners to make money and start businesses. Despite a transitional period, online learning opens up significant potential for anyone who wants to learn in an optimal way for their brain.
Empowering Diversity in Tech Through Personalized Learning
Dr. Sassi shares her personal story of overcoming roadblocks to success in the tech industry due to her neurodiversity. She highlights the power of personalized learning in bringing more women, girls, and ethnic diversity into tech. She is excited about outcome-based learning and the future of online learning platforms like Skills Hustle.
Extensive show notes
AI’s Impact on Education and the Future of Learning
00:00:00 – 00:01:23
In this podcast episode, the host interviews Dr. Melissa Sassy, an expert in technology and education, about how advances in AI are transforming the education industry. The conversation begins with a discussion about the history of technology in education, including the use of textbooks during exams and how it was initially met with resistance. The podcast then explores how AI is being used to personalize and improve the learning experience for students, as well as the potential for AI to revolutionize the way educators teach. The host and guest also discuss the importance of data privacy and how it can be safeguarded in an AI-driven education system. Overall, the podcast provides valuable insights into how AI is already making an impact on education and offers a glimpse into the exciting future of learning.
AI in Education: Market Size and Impact on Teachers’ Workload
00:01:23 – 00:03:00
The ed tech market has a market cap of around 230 billion dollars and is expected to reach over 400 billion dollars in the next few years. The use of AI in education is still in its early stages but is expected to be worth 20 billion dollars by 2027. Almost half of all learning management systems, used by private and public schools, will incorporate AI solutions. In terms of educators, AI can help reduce their workload by 20% to 40%, making them more productive and taking some of the load off their shoulders. However, it’s important to note that AI should be seen as an augmentation of their work and not a replacement.
AI in Education: Statistics on the Adoption and Use of AI in the Education Sector
00:03:00 – 00:07:34
86% of educators, including teachers, administrators, and thought leaders, believe that AI is a vital part of education. 39% of educators want to use AI but have not yet implemented it, indicating a need for further adoption and skill development in the education sector. While the integration of AI may pose a risk of job replacement for those who do not incorporate it, it also presents opportunities for personalization and equitable learning. However, there is still a fear of the unknown and a bias against technical skills, which can hinder adoption and understanding of AI in education. The use of AI in education also raises privacy concerns, which can be addressed through proper regulation and education on responsible data use.
Equitable Learning: Analyzing Learning Styles Based on Outcomes
00:07:34 – 00:12:37
In this podcast episode, the guest discusses the future of equitable learning and how analyzing learning styles based on outcomes can be used to identify learning patterns and preferences. The use of machine learning and AI can help recognize patterns that the human eye may not be able to see. In addition, personalized learning journeys can be created by identifying preferences and what excites learners. Accessing brainwaves and pairing them with learning styles and input/output analysis can help determine what motivates individuals to learn. This exciting development can lead to more equitable learning by enabling individuals to access their preferred way of learning and making the impossible possible.
How Technology is Shaping the Future of Education
00:12:37 – 00:14:11
In this podcast episode, Melissa discusses how technology is shaping the future of education. She emphasizes the importance of data-driven, predictive modeling and personalization in education. However, she also acknowledges that there are risks and challenges associated with the use of technology in education, particularly with regards to values and ethics. She stresses the importance of information literacy to ensure that individuals can decipher trustworthy information from misinformation and disinformation. Melissa also highlights the need to balance the benefits of technology with concerns around privacy, security, and safety. Overall, she argues that educators must be enabled to focus on strategic planning rather than tactical activities, and that technology can play a crucial role in achieving this goal.
The Benefits and Risks of Online Learning According to an AI Expert
00:14:11 – 00:19:56
The future of online learning has both benefits and risks. To ensure fairness, transparency, and accountability, algorithms and outputs need to be unbiased. Personalization and individualization are becoming mainstream, and AI is becoming a primary tool. Assessments and credentialing will also become easier. Fact-checking can be done in an unbiased way. Online learning presents an opportunity to understand our personality types and weaknesses better. It also presents opportunities for teachers to save time and for learners to make money and start businesses. It will enable teachers to become more effective, efficient, targeted, and strategic. The benefits of online learning are numerous, including learning faster, not wasting time on irrelevant skills, and having greater education outcomes. There will be a transitional period, but it opens up potential business opportunities. Overall, online learning is a massive opportunity for anyone who wants to learn anything in an optimal way for their brain.
Personalized Learning Can Bring More Diversity into Tech, says IEEE Creator
00:19:56 – 00:25:12
In this podcast episode, the guest discusses the power of personalized learning and recognizing patterns that can play a significant role in bringing more women, girls, and ethnic diversity into tech. She shares her personal story of being discouraged by others from pursuing tech and how she later discovered that her brain worked differently due to neurodiversity. She emphasizes the importance of overcoming roadblocks to success and the benefits of online learning. The guest is excited about outcome-based learning and the future of online learning, specifically mentioning Skills Hustle as a platform she is looking forward to seeing grow.
