Know-how Artificial Intelligence has influenced higher education around the world

Humanity has always been fascinated by the idea of ​​getting things done quickly. Since ancient times, inventors have used their intellectual brilliance to tackle current problems and make people’s lives easier. In the education sector, for example, the invention of paper promoted the dissemination of information among different social classes. Similarly, exceptional individuals continued to contribute in one way or another to the development of the education system. Artificial intelligence (AI) is in the spotlight today, especially in higher education.

In the beginning, the role of AI in education was very limited. People continued to prefer conventional teaching methods and rarely resorted to technically stimulated methods. With the advent of the internet and its commercialization in the late 90s, things started to change. The main boost, however, came in 2020 when the devastating pandemic we are still suffering from disrupted conventional educational pathways. Higher education is now powered by AI and its many tools.

Today we’re going to find out what AI has done for higher education.

  1. Adaptive learning platforms
    Many of you must have worked on platforms that measure your performance based on scores on various assignments. They study your answers, common mistakes and, among other things, take the time. Based on their analyzes, they coordinate all future tasks. TTo give you a simpler example, I’ll use a voice app with a review segment. You answer the various questions, and each time you answer incorrectly, that question is presented in various interactive ways until you answer it correctly a certain number of times. This is AI that maps your performance and tailors your assessment. Many universities have already started to implement such platforms for their students and are getting good results.

  2. Smart classrooms
    After being forced into our homes and studying behind a digital screen, we began looking for ways to protect our interests. Virtual learning can be boring, I’ll admit that; it can be less interactive, less responsive, and stagnant. Hence, AI is being used to curb this negative impact and has been introduced in the form of smart classrooms. Platforms like MS Teams and Google Classroom have many functions to increase the quality of education such as whiteboard, detection of whether the student is present or not, automatic tabulation and placement of all participants in a common background, etc.

  3. Virtual teaching assistants
    Teachers tend to be overworked and sometimes work beyond their regular academic duties. AI can replace certain tasks – and luckily, they are being replaced. Many universities now operate chatbots or virtual teaching assistants. A simple example can be found on the university‘s official website, where a bot would send a text to you for assistance. These bots have been provided with data to answer specific queries, and only beyond that will human intervention be prompted. You may also be able to see that these assistants are also used in face-to-face teaching.

  4. Promotion of quality research
    Science has become increasingly strict in terms of the quality of research. By incorporating advanced algorithms, anti-plagiarism software has become a powerful tool in the research world. Over time, a number of improved software such as Turnitin have been developed that have expanded coverage and increased the quality of detection. Their databases are huge, algorithms detect excessive paraphrase and recognize patterns, and they cover many types of work, from blogs to theses. Universities around the world have subscribed to such software.

  5. Improved collaboration and accessibility
    Granted, in the absence of digital literacy, many of these improvements will be limited to a more resourceful population. However, work is being done to achieve significant digital literacy in due course. Meanwhile, AI is being effectively integrated to improve the collaboration between teachers and AI. As? Let me illustrate: you have probably heard of the real-time subtitle function many times. In video conferencing with advanced software like MS Teams, you can often read subtitles in real time while the instructor speaks. This is the work of AI. This feature has helped many with language restrictions – and this is one of many examples.

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