The Power of AI and the Future of Education Is Now: How Teachers and Teachables Can Create Teachings

Machine Learning


Brazilian educator and philosopher Paulo Freire believed in a collaborative approach to education in which both the educator and the learner contribute to the learning process. His work focused on fostering critical thinking and dialogue. in his book, Pedagogy of the Oppressed, he described the idea of ​​education as a collaborative process in which both educators and learners work together to create knowledge and learn from each other. “Teacher and taught together create teaching” is a remarkable phrase summarizing his philosophy that has long inspired my teaching (Freire, 1968).

Today, Freire’s teachings are not only relevant to those of us who are witnessing a transformation in teaching and learning, but must be adopted. The advent of artificial intelligence (AI) has allowed educators from all walks of life to come together to reflect, explore perspectives, consider implications for teaching and learning, and share fears and hopes. One thing most educators can agree on is that we need to rethink how we teach and learn. AI must be embraced, and the integration of universal design for learning (UDL) and culturally responsive pedagogy is no longer an option. Collaborative work in creating education is at the heart of a new but very old pedagogy.

Now is the perfect time to open up new opportunities and alleviate long-standing challenges faced by both educators and learners. Here are some tips on how post-secondary educators and adult learners can create education together to foster collaborative approaches in teaching and learning, and how AI can enhance both. To do.

Engage learners based on their learning style

We understand learners’ preferred learning styles and provide materials and activities that are tailored to their individual needs, enabling them to work in the way that works best for them. According to Honey and Mumford’s learning style model, there are his four types of recommended learning styles: activist, contemplative, theorist, and pragmatist. Activists prefer to learn through hands-on activities and experiential learning opportunities. Reflectors like to learn through observation, reflection, note-taking, or reflective discussion. Theorists prefer to learn through analysis and synthesis, while pragmatists prefer to learn through applying ideas to real-world situations. Combining this knowledge of learning styles and applying the Universal Design for Learning (UDL) framework to teaching enables educators to meet the diverse needs of learners and to accommodate different learning styles and preferences. can provide multiple means of expression, expression, and engagement with This sounds like a lot of work, but it’s not as complicated as it looks. Educators could benefit from using her AI as inspiration for comprehensive lesson plans that employ UDL. AI can also help create case studies, generate thought questions, gather the latest facts, and provide real-life applications of certain concepts. Educators can also delegate some of this research to the learners themselves, with a focus on creating processes that build critical thinking skills in learners.

Activate the C of Communication in Education

Clear, complete and concise communication is essential for effective teaching. Educators should use plain, straightforward language that learners from a variety of backgrounds can understand. This reduces the chance of misunderstandings. From a culturally inclusive perspective, learners from different cultural backgrounds can easily use her AI-powered language translation tool. For neuro-divergent learners, succinct, to-the-point, literal communication makes it possible to divide instructions into manageable chunks (NIMH, 2018). A combination of audio, video and written communication can meet the different needs of learners and create an inclusive and supportive learning environment for all. AI can help educators review text, ensure plain language is used, and transform text into multiple means of communication.

Emphasizing collaboration as a key to success

Educators need to foster collaboration and foster a team-based learning environment. This approach helps learners build connections, develop teamwork, and reinforce effective communication skills. All of them are essential for career advancement. In the post-corona era, these social skills are needed more than ever. AI-powered collaboration tools help learners collaborate on projects and challenges wherever they are. This is another essential skill for advancing your career and adapting to the ‘new normal’. Tools like Slack, Teams, Zoom, Miro, Trello, Canva, Asana, and Padlet are popular AI tools that help teams collaborate more efficiently and effectively, improving overall productivity and outcomes. These are just a few examples of collaboration tools that leverage .

VARK is another popular classification of learning styles developed by Neil Fleming in 1987. VARK stands for Visual, Auditory, Reading/Writing, Kinesthetic. This learning style can influence how effectively we learn and retain information (Fleming, 2006). The use of multimedia is an effective approach to engaging learners, supplementing content, and presenting complex topics. Educators can use videos, images, podcasts, interactive simulations, and immersive experiences generated by AI-powered virtual reality and augmented reality tools such as Google Lens.1 or deep frame2.

Treat feedback as a source of learning

Feedback is essential for learners to understand their strengths and weaknesses and improve their learning outcomes. It is a source of teaching and learning that is ignored by most educators. It is important to provide regular and timely feedback on learner assignments and assessments. Because grading and providing meaningful feedback takes time, many educators provide standardized, one-size-fits-all feedback to learners. AI-powered grading tools can help educators automate the grading process, provide immediate feedback to learners, and alleviate some of the grading burden for educators (Wu et al., 2020) . AI chat bots can also act as grading assistants, providing feedback that can be customized and tailored by educators with appropriate prompts.

Make learning personal and individual

Recognizing that learners learn differently and adapting teaching styles accordingly builds trust and connections between learners and educators and creates an enabling and supportive environment for learning. will be AI-powered personalized learning platforms help educators deliver personalized learning experiences based on learners’ abilities and preferences, allowing learners to learn at their own pace. Duolingo is an example of an AI-powered language platform that provides personalized instruction in over 30 languages. There are many other platforms that offer instruction and interactive resources on various subjects.

ahead of its time

Lifelong learning is crucial for staying ahead of the curve for both educators and learners. Educators need to continuously update their knowledge and teaching practices to provide the best learning experience for their learners. “Learning while learning competencies” are also essential skills in the evolving era we live in, characterized by rapid change and continuous transformation. AI-powered learning platforms and teaching technologies provide educators with access to the latest research, teaching resources, and teaching trends, keeping them abreast of the latest industry trends (Wu et al., 2020).

accept the evolution of AI

The role of AI in education is evolving rapidly. Intel co-founder Gordon Moore predicted in his 1965 that the number of transistors on a microchip would double about every two years, while the cost of computers would halve. . Known as Moore’s Law, this prediction is believed to be the driving force behind the rapid evolution of 21st century technology.cent century. As computer processing power continues to improve, it becomes possible to train increasingly complex and sophisticated AI algorithms. AI can move from basic rule-based systems to more advanced machine learning and deep learning models. This advance is not undone. On the contrary, it will evolve further and change the landscape of teaching, learning and working. Educators need to advance the emotional spectrum towards the use of AI and start experimenting with AI to create engaging learning environments that foster collaboration and personalize the learning experience. By embracing the evolution of AI, we can save time, get the support we need, inspire creativity, and make everyone more productive.


Manal Saleh is a faculty member in the Department of Business and Creative Industries at Nova Scotia Community College. She holds a Bachelor’s degree in Business Administration from Ain Shams University, Cairo, Egypt and a Master’s degree in Economics in International Development from American University in Cairo. For over 20 years, Saleh has been committed to empowering communities through co-educational education. In 2018, Saleh settled in Atlantic Canada to find her ‘life’ in post-secondary education. Her current passion is supportive education and engagement her technology. Her mission is to seek and share her knowledge to help herself and others unlock limitless potential and improve themselves.

References:

Fleming, N., and Baume, D. (2006) Learning Styles Again: VARKing up the right Tree!, Educational Developments, SEDA Ltd, Issue 7.4, November 2006, p4-7. Taken from https://vark-learn.com/wp-content/uploads/2014/08/Educational-Developments.pdf

Freire. (1993). The Pedagogy of the Oppressed (New Revised 20th Anniversary Edition). continuum.

Honey, P., Mumford, A. (1986). A manual of learning styles. Peter Honey.

National Institute of Mental Health. (2018). Attention deficit/hyperactivity disorder. Retrieved from https://www.nimh.nih.gov/health/topics/attention-deficit-hyperactivity-disorder-adhd/index.shtml

Rose, DH, and Meyer, A. (2002). Teaching Every Student in the Digital Age: Universal Design for Learning. ASCD.

Wu, H., Tennyson, RD, and Shea, TL (2020). A review of artificial intelligence in education: technical and pedagogical perspectives. Educational Research Review, 30, 100326. Retrieved from https://www.researchgate.net/publication/351470728_A_Review_on_Artificial_Intelligence_in_Education


[1] This is an AR tool that uses AI to analyze images and provide information about the objects they contain. It can be used for a variety of purposes, such as identifying plants and animals, translating text, and finding products online.

[2] An AR display that uses AI to generate holographic images as if they were part of the real world. It can be used for various purposes such as entertainment, advertising and education.


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