Higher education has had lot of challenges over the years the more important being that the way higher education has been delivered over the past two centuries.
Benjamin Franklin had once said that "an investment in education is the best investment ever possible"
While
educators have been thinking deeply of how to reduce the costs for
education, improving the delivery, whether one to one peer education or
one to many classroom style, the costs can be very prohibitive. It can
play a role in the modern day as the old one-to-many model, the
challenges have been many, especially with the onset of numerous
technology tools like e-learning and so on. The advent of AI chatbot,
ChatGPT it is claimed will change the face of education and teaching
like never before.
There are several ways that AI can help improve higher education:
- Personalized learning: AI can help tailor course content and recommendations to individual students based on their strengths, weaknesses, and interests, providing a more personalized and effective learning experience.
- Grading and feedback: AI can help grade assignments and provide feedback to students, freeing up teachers to focus on more high-level tasks such as providing one-on-one support to students and designing new courses.
- Improving efficiency: AI can help streamline administrative tasks, such as managing course schedules and enrolments, allowing educators to focus on more high-impact activities.
- Enhancing research: AI can help researchers analyze large datasets and identify patterns and trends, leading to new insights and discoveries.
- Improving accessibility: AI can help make education more accessible to students with disabilities, by providing tools such as text-to-speech and translation capabilities.
- Course design: AI can be used to design and optimize courses, including selecting relevant materials and creating personalized study plans for students.
- Tutoring and support: AI can be used to provide 24/7 support for students, including answering questions and offering guidance.
- Adaptive testing: AI can create personalized tests for students, adjusting the difficulty of questions based on their responses.
- Automated grading: AI can grade assignments and exams, providing instant feedback to students and freeing up teachers' time for other tasks. It is the fear of physical assessment that drives faculty to not go for quizzes ..
- Virtual tutoring: AI can provide one-on-one tutoring to students through virtual assistants or chatbots.
- Content creation: AI can be used to create personalized learning materials, such as customized lesson plans or learning modules, tailoring each course delivery suiting students needs and aspirations.
- Plan and deliver effective quizzes / feedback systems : students are more committed and engaged if they get to know their progress in almost real-time. AI systems can help in that.
- Predictive analysis:
AI can be used to analyze student data and predict academic
performance, which can help educators identify students who may be at
risk of falling behind and intervene early and give challlenging
- Create personalised learning experiences that could remove the challenge of disengagement that is happening with some of the students. (click here for HBR 2019 article)
- Making education affordable : Many aspiring students have to discontinue higher studies due to the exhorbitant costs. AI can democratise and make economical higher education for the masses by making knowledge more available to the masses. The issue of EXCLUSIVITY fades into the future ...
- Handle student queries more effectively and personally helping them make decisions to pursue higher education or join Universities quicker and efficient
- Engagement and commitment : While in the University chatbots for academics and other extra curricular activities can enable students to be more enagaged and committed to their career
- More effective solutions : AI can help in coming with better possible solution than human minds can ever perceive or think, resulting in more ingenious applications
- high cost,
- compromising privacy (fear of losing control over personal data),
- lack of understanding for some,
- fear of bias,
- fear of unemployment due to automation,
- issues with the seamless integration with existing educational practices and systems are challenges that higher education systems across the world can face.
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