Universities will be among the first to adopt various Artificial Intelligence (AI) technologies, otherwise, they will become irrelevant and ultimately redundant. If done right, the technology can greatly enhance the learning process and empower what universities and students do.
copyright by magazine.startus.cc
Artificial intelligence is yet to become a standard in schools, but it has the potential to transform the educational field. It’s is a technology whose time has certainly come because it can already outperform humans in many ways. However, it can be very helpful for tech students.
How? Let’s find out.
#1 Creating Personalized Learning Materials
Meeting the needs of each student becomes a must in today’s classroom. For example, a teacher should create personalized tasks to fit the learning style of students and ensure that they enjoy the same access to learning.
There are a number of companies around the world working on AI technology that produces customized educational content for individual students. Content Technologies Inc. (CTI), for example, is an artificial intelligence research organization that is currently developing software capable of doing that. Reportedly, this software will use deep learning technology (a type of machine learning method) to collect and analyze existing course resources and produce custom learning materials, including tests, textbooks, and chapter summaries.
For tech students, this software will improve personalization because it will help to adapt to each student’s individual learning needs and create instructions based on their strengths and weaknesses . As the result, the students will have a more meaningful learning experience.
#2 Evaluating & Addressing Skills And Weaknesses
Another way in which artificial intelligence can improve the learning process is tracking their progress and determining their weaknesses to help teachers address them. For example, a company called Thinkster Math created software based on AI and machine learning technology to do exactly that.
Initially designed for primary school, a Thinkster Academic Advisor is capable of reviewing the performance of a student, learning about their needs, and ultimately identifying their strengths and weaknesses.
Initially designed for primary school, a Thinkster Academic Advisor is capable of reviewing the performance of a student, learning about their needs, and ultimately identifying their strengths and weaknesses.
#3 Enjoying A Richer Curriculum
AI allows tech instructors to design an enhanced curriculum. For example, they can include various interactive elements such as self-assessments, video, and audio. For tech students, these elements are important for achieving the best educational outcomes because they need to interact with media and technology on a constant basis.
An example of AI technology for creating a rich curriculum is SmartEd, developed by Netex Learning. Among the most important features of this software are gamification, integrated authoring, adaptivity, learning analytics, and real-time collaboration. For example, by using SmartEd, an educator can apply game mechanics to learning content and create a truly engaging environment where students don’t pass exams but raise levels.
A built-in analytics engine will analyze the performance of students in each of the activities and determine risk situations and mistake patterns. […]
read more – copyright by magazine.startus.cc
Universities will be among the first to adopt various Artificial Intelligence (AI) technologies, otherwise, they will become irrelevant and ultimately redundant. If done right, the technology can greatly enhance the learning process and empower what universities and students do.
copyright by magazine.startus.cc
How? Let’s find out.
#1 Creating Personalized Learning Materials
Meeting the needs of each student becomes a must in today’s classroom. For example, a teacher should create personalized tasks to fit the learning style of students and ensure that they enjoy the same access to learning.
There are a number of companies around the world working on AI technology that produces customized educational content for individual students. Content Technologies Inc. (CTI), for example, is an artificial intelligence research organization that is currently developing software capable of doing that. Reportedly, this software will use deep learning technology (a type of machine learning method) to collect and analyze existing course resources and produce custom learning materials, including tests, textbooks, and chapter summaries.
For tech students, this software will improve personalization because it will help to adapt to each student’s individual learning needs and create instructions based on their strengths and weaknesses . As the result, the students will have a more meaningful learning experience.
#2 Evaluating & Addressing Skills And Weaknesses
Another way in which artificial intelligence can improve the learning process is tracking their progress and determining their weaknesses to help teachers address them. For example, a company called Thinkster Math created software based on AI and machine learning technology to do exactly that.
Initially designed for primary school, a Thinkster Academic Advisor is capable of reviewing the performance of a student, learning about their needs, and ultimately identifying their strengths and weaknesses.
Initially designed for primary school, a Thinkster Academic Advisor is capable of reviewing the performance of a student, learning about their needs, and ultimately identifying their strengths and weaknesses.
#3 Enjoying A Richer Curriculum
AI allows tech instructors to design an enhanced curriculum. For example, they can include various interactive elements such as self-assessments, video, and audio. For tech students, these elements are important for achieving the best educational outcomes because they need to interact with media and technology on a constant basis.
An example of AI technology for creating a rich curriculum is SmartEd, developed by Netex Learning. Among the most important features of this software are gamification, integrated authoring, adaptivity, learning analytics, and real-time collaboration. For example, by using SmartEd, an educator can apply game mechanics to learning content and create a truly engaging environment where students don’t pass exams but raise levels.
A built-in analytics engine will analyze the performance of students in each of the activities and determine risk situations and mistake patterns. […]
read more – copyright by magazine.startus.cc
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