The Future of Artificial Intelligence in Education
AI has applications in education as well, including lifelong intelligent mentors (Feenberg 2002), educational and social robots (Woolf et al. 2013), and adaptive evaluations (Heffernan and Heffernan 2014). Teachers can be freed up to focus on more important responsibilities like mentoring and relationship development by using it to automate time-consuming administrative procedures. This could lead to more equality and accessibility.
1. Individualization
Creating a range of specialised learning opportunities based on each student's individual requirements, interests, goals, abilities, and cultural background is the aim of personalised learning. This method can assist students avoid distractions and lose interest in the class content while also maintaining their motivation to study. Chatbots, adaptive learning games, and virtual and augmented reality are some of the technologies that make this feasible. By using these resources, educators can interact with their students more effectively and raise student achievement. AI can also assist teachers in streamlining administrative duties and freeing up time for them to concentrate on more important things. For example, AI may instantly provide learners with feedback and grade tasks and tests automatically. Additionally, it can help educators create assessments and quizzes that are tailored to the interests of their pupils. Teachers can also use these tools to help their kids' education and keep parents informed about their progress. This may encourage parent-teacher collaborations that are more fruitful.
2. Mechanisation
One of the main advantages of automation is its ability to remove a lot of laborious and time-consuming manual chores that teachers perform. These tools can be used to grade assignments and track attendance, freeing up valuable teaching time to create more individualised learning opportunities. Teachers may even use this to design more intricate and interesting lessons. The Stanford language models, for instance, can be used to provide real-time feedback and recommendations based on expert pedagogy or to mimic students for aspiring teachers as they hone their craft. Additionally, this may make education more accessible to a wider range of individuals, especially those from lower socioeconomic backgrounds. For instance, presentation translators can enable those with hearing and vision impairments as well as language learners to participate in global classrooms. AI can also be used to scan student work with vision AI to ensure that the answers are accurate, or it can be used to respond to questions in real time. Students can receive the individualised attention they require in this way, regardless of when they are available.
3. Availability
AI tools can be used by teachers to automate processes and customise lessons. But there's reason to be concerned that these technologies can force out educators and exacerbate social unrest and inequality (Autor 2015; Howard and Borenstein 2017; Buolamwini and Gebru 2018). The AI community in education is cautious to point out that their projects are meant to be augmentation and support tools, not stand-ins. The community also understands that these tools can help reduce expenses, improve student-teacher ratios, and increase access to higher-quality education for students from all socioeconomic backgrounds. Learning management systems, adaptive tests, e-learning content platforms, and MOOCs are a few instances of AI in education. However, there are a gazillion more ways to use this technology in classrooms; the only thing stopping us is our collective imagination. Dora Demszky, for instance, notes that AI is capable of giving instructors immediate feedback and recommendations based on professional pedagogy. Furthermore, artificial intelligence (AI) can improve accessibility in schools by producing alternative text by understanding visuals or adding subtitles to movies.
4. Remarks
While general comments like "well done!" and "try harder" may inspire pupils, more detailed criticism might show them where they can make improvements. AI can evaluate student performance and preferences, spot knowledge gaps, and suggest pertinent information to help students succeed using data. Additionally, it can assist educators with labor-intensive administrative duties like assignment grading and feedback. This frees up more time for educators to concentrate on tasks that AI isn't proficient at, like giving pupils individualised guidance and upskilling the workforce. Teachers need to make sure the technology they employ is both morally and functionally sound. Teachers should look for professional development on the applications and uses of generative AI as it becomes more widespread. Additionally, they should guarantee that students have the option to request a different human review and are informed about how their work might be assessed by an AI system. By doing this, students can safeguard their academic integrity and practise critical thinking in the context of real-world issues.
