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4 Predictions for the Future of Technology in Education

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Summary

This article looks back on a 2018 blog post about predictions for the future of technology in education over the next decade. It reviews four of the predictions and reflects on what has changed and what is still yet to come. Predictions included intelligent learning apps and artificial intelligence, virtual reality, learning on demand, and digital assessment. It is clear that technology has had a major impact on education, and the pandemic has accelerated these changes. It is likely that these trends will continue as technology continues to move at a rapid pace.

Q&As

What predictions were made for the future of technology in education in 2018?
Predictions made for the future of technology in education in 2018 included intelligent learning apps and artificial intelligence, virtual reality, learning on demand, and digital assessment.

How has the pandemic affected the education industry, and what developments have been made since then?
The pandemic has caused disruptions to the education industry, and since then there have been developments in artificial intelligence (AI) and virtual reality (VR) as well as an increased demand for flexible education offerings.

How have artificial intelligence and virtual reality been used to improve education?
Artificial intelligence has been used to analyze a particular student and tailor the delivery of information and assessments based on their characteristics, while virtual reality has been used to discuss concepts in a ‘classroom’ environment with people all over the world, learn about an event in history by standing in the middle of it, watch and participate in medical procedures, conduct scientific experiments without any risk, and learn about foreign cultures by experiencing them.

What is the impact of flexible education offerings on students and institutions?
The impact of flexible education offerings on students and institutions is that students are able to choose their own adventure which doesn’t commit them to more than they’re ready for, and institutions are able to build more diverse pipelines through stackable credentials.

How have digital assessment technologies improved since 2018?
Digital assessment technologies have improved with the development of online proctoring software and the normalization of the concept of the “metaverse”. There have also been advancements in facial recognition, retina movements, mouth movements, camera detection, and voice recognition software to ensure academic integrity.

AI Comments

👍 This article provides an insightful look into the current landscape of technology in education, and makes predictions for the future. It is great to see how the author has revisited the predictions from 2018 to see how they have fared in the intervening years.

👎 This article does not provide much in terms of concrete solutions to the challenges posed by the rapid advancement of technology in education. It merely makes predictions for the future without offering any concrete advice.

AI Discussion

Me: It's about the predictions for the future of technology in education. It's from 2018, and the article looks back at the predictions to see how they've held up over the years.

Friend: Interesting. What are some of the predictions?

Me: The first one is about intelligent learning apps and artificial intelligence. They predict that these tools will be used to tailor the delivery of content and assessments based on the needs and characteristics of each student. The second one is about virtual reality and how it can be used to learn about events in history, participate in medical procedures, and learn about different cultures. The third one is about learning on demand, which means that people can start programs whenever it suits them and finish courses based on their knowledge acquisition. Finally, there's digital assessment, which focuses on how technologies like facial recognition can be used to ensure academic integrity.

Friend: Wow, these are some pretty interesting predictions! What are the implications of these predictions?

Me: Well, these predictions suggest that technology will continue to play an important role in the education sector. For example, AI and VR can be used to create more personalized and immersive learning experiences. Moreover, learners will have more control over their learning processes, such as when they start and finish courses. Finally, digital assessment tools will help to ensure academic integrity.

Action items

Research the current trends in artificial intelligence (AI) and virtual reality (VR) in higher education.
Explore the potential applications of AI and VR in your own educational setting.
Consider how digital assessment tools can be used to ensure academic integrity in your courses.

Technical terms

AI (Artificial Intelligence): AI is a type of computer technology that is designed to simulate human intelligence and behavior. It is used to create systems that can think, learn, and act like humans.
VR (Virtual Reality): VR is a computer-generated simulation of a three-dimensional environment that can be interacted with in a seemingly real or physical way by a person using special electronic equipment, such as a headset with a screen inside or gloves fitted with sensors.
MOOC (Massive Open Online Course): MOOCs are online courses that are open to anyone, regardless of their educational background or location. They are typically offered for free or at a low cost and are designed to provide students with a comprehensive overview of a particular subject.
CBE (Competency Based Education): CBE is an educational model that focuses on assessing a student's knowledge and skills rather than the amount of time spent in a course. It is designed to provide students with a more personalized learning experience and to help them develop the skills they need to succeed in their chosen field.