Welcome back to Brainless Intelligence! This week we will be discovering how Artificial Intelligence is used in Education. In todays blog post I will be focusing on Personalised learning. The current education system fails to accomplish a positive learning outcome for all students, this is because everyone is expected to learn the same material at the same time regardless of their abilities. Many students tend to fall behind as they struggle to keep up with fellow students, whereas some students learn quickly and are ahead (Educause, 2016). So, what if there was a way for students to learn at their own pace? Image Source: https://www.ispcc.ie/school-struggles/ (ISPCC, 2018) A more personalised approach to learning could hugely benefit those who require more time to master the materials. Flexibility regarding how students are being educated creates opportunities with learning that adapts to the needs of each student and tailors support to them (Educause, 2016). Unfortunately, in a classroom full of multiple students with different capabilities and struggles, it’s impossible for one teacher to meet everybody’s individual needs, but through Artificial Intelligence (AI), personalised education can be achieved. Personalised learning seeks to create a profile of each student's strengths, weaknesses, and learning pace to detect patterns that can predict their learning success, and tailor educational experiences and support appropriately (Maseleno et al., 2018). A learning management system can be created which shares data with an “E-Textbook” about the number of pages read, time spent on each page, notes made, and number of times a video was watched. Then AI can detect patterns associated with engagement, achievement, and course success by evaluating the data received. When problems arise, the system can alert students and faculty. An adaptive learning system could adjust learning content based on data and focus on the student’s individual needs and struggles (Educause, 2016). This way students can prioritise the material that they struggle to grasp rather than falling behind in that aspect of the course and having to spend time on something else that they already understand. Image Source: https://en.ccunesco.ca/idealab/artifical-intelligence-in-education-focusing-on-the-greater-good (Creighton-Kelly, 2020) The Learning Management system detects which students need extra help and which students would benefit from new challenges (Educause, 2016). It’s important for students to be constantly challenged, as it encourages them to want to grow to their full potential, otherwise they won’t excel in their education. Personalised learning boosts motivation and engagement by allowing students to take responsibility and build meaningful learning experiences for themselves (Maseleno et al., 2018). An AI personalised learning tool most of us are familiar with is the popular language learning app “Duolingo”. Duolingo is an excellent example of personalized learning. This AI-powered application is widely utilized in the field of education, with over 600 million users globally and a voice recognition system. The app uses AI to track students' language knowledge and creates customised learning sessions to their level of advancement (Karsenti, 2020).
Through AI in personalised education, successful learning outcomes can be achieved by anyone, regardless of their strengths, weaknesses, or learning pace by providing students with extra support and time in the specific areas they struggle with. Make sure to keep an eye out on our blog for new releases this week surrounding the effects of Artificial Intelligence in different sectors of Education. Reference List Educause (2016) What Is Personalized Learning? Available at: https://youtu.be/6oLNLCO0vfI [Accessed 14 March 2022]. Karsenti, T. (2020) Artificial intelligence in education: focusing on the greater good. Available at: https://en.ccunesco.ca/idealab/artifical-intelligence-in-education-focusing-on-the-greater-good [Accessed 14 March 2022]. Maseleno, A., Sabani, N., Huda, M., Ahmad, R. B., Jasmi, K. A., and Basiron, B. (2018) ‘Demystifying learning analytics in personalised learning’, International Journal of Engineering and Technology, 7(3), pp. 1124-1129, ResearchGate. doi: 10.14419/ijet.v7i3.9789 [Accessed 15 March 2022].
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AuthorCiara O'Brien ArchivesCategories |