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Lucubrate Magazine January 7th 2024
This article analyses current trends and possibilities of AI in education and its anticipated effects on learning by 2024. The paper explores how we can integrate AI into education, the potential challenges and opportunities, and the expected impact on teaching methods and learning outcomes. The article aims to provide insight into the role of AI in education.
Welcome to 2024;
– welcome AI-powered tools
AI-powered tools, such as personalised learning and adaptive assessments, provide real-time feedback to students and teachers, promoting better learning outcomes [1]. Artificial Intelligence (AI) can identify at-risk students. It can provide interventions to improve their learning outcomes, favouring educational access and collaborative environments.
Integrating AI in education has been a topic of discussion for several years, potentially transforming traditional teaching and learning approaches. The integration of AI in pedagogy is a topic of discussion, with its potential impact raising significant questions about its influence on teaching methods and learning outcomes.
How is AI currently being integrated into education?
AI is increasingly integrated into education through personalised learning and adaptive assessments. These provide real-time feedback to students and teachers and promote better learning outcomes. We find elements of AI in most of the software the pupils and students use. We can also use AI-powered tools to automate educational administrative tasks. Examples include answering routine student queries and disseminating instructional materials, freeing educators’ time for more complex tasks.
AI can identify at-risk students and provide interventions to improve their learning outcomes. In higher education, they integrate AI into institutions, with augmentation also being utilised. We can use AI in education for visual perception, speech recognition, decision-making, and language translation. We can also solve cognitive problems commonly associated with human intelligence in education, such as learning, problem-solving, and pattern recognition.
The illustration: Adobe Stock
We adopt AI technologies for teaching, learning, student support, and administration.
Recent technological advancements have led to an increasing speed of adoption of new technologies in education. However, challenges exist for the institutions and the students.
AI also changes how students learn; institutions teach and evolve with pedagogical design models. Integrating AI in education has accorded learners a richer and more rewarding learning experience. AI integration has, as an example, provided chatbots with the ability to undertake basic and advanced teaching tasks equipped with cognitive, decision-making, dialogue, and conversation abilities. On the other hand, students use AI to create texts and write documents.
As AI technology continues to develop, it will be interesting to see how its integration into machines or robots in education progresses, with AI being developed and used as teacher assistants and colleagues and integrated into computer programs and chatbots.
In a discussion about the development of AI, somebody said that in the coming year or years, we will meet the limitations of AI. The computer power needed is endless for AI to work optimally, and on the other side, the computer power is limited.
How is AI used to create personalised learning experiences for students?
AI in education can potentially revolutionise how students learn by facilitating a personalised learning experience. AI-driven tools can create personalised learning environments for students, which is one of the most significant influences of AI on education.
Adaptive systems can adjust to students’ requirements and help them learn at their own pace and independently. These systems can also focus more on specific topics and repeat concepts that students have yet to understand, making learning more accessible [1]. Adaptive learning environments, interactive games, and educational software enable personalised learning, and AI provides technical support for this learning experience [1][2].
A three-layer learning architecture focuses on motivation, understanding beliefs, and participating in learning communities. That model enables AI to identify gaps in student knowledge and provide targeted interventions while assisting teachers in creating individualised lesson plans for each student [2][1]. AI-generated characters can create immersive learning experiences that allow students to play different roles, such as becoming historical figures or scientists. This approach enhances motivation, creativity, and fluency of ideas. We can use real-time camera filters to study their effects on embodiment and cognitive functions in personalised learning experiences [3].
Additionally, AI-generated characters can help students improve their language skills through social activities like storytelling games and enhance motivation and task performance through social rewards such as praise from artificial entities like robots and virtual agents [3].
What are the benefits of personalised learning facilitated by AI?
The emergence of generative media and AI technology has opened up new avenues for personalised learning that can benefit students significantly. AI-generated media techniques offer unique opportunities for creating interactions with digital representations of individuals that can inspire and engage us [3].
An easy-to-use AI character generation pipeline can help facilitate personalised learning outcomes by allowing users to create an AI-generated character that best suits their needs and preferences [3]. These characters can be customised to feature the synthesised faces, bodies, and voices of anyone, from a fictional character to a historical figure or even a deceased family member [3][4].
Positive use cases of AI-generated characters include supporting learning and well-being [3]. Empirical evidence has shown the potential of conversational agents to induce positive behavioural and cognitive changes [3]. For instance, personalised fitness apps with AI-generated characters could enable users to interact with a personalised AI-generated coach or exercise buddy [3]. This personalised coach or buddy could resemble someone users find motivating or look up to as a role model, leading to better engagement and adherence to exercise routines [3].
Personalised learning facilitated by AI can also improve alertness, active participation, and general well-being [3]. Furthermore, exposing someone to AI-generated versions of themselves, such as younger versions, can positively impact mental health [3]. These are just some of the many benefits of personalised learning facilitated by AI, which can revolutionise how we learn and interact with digital media.
Potential opportunities associated with using artificial intelligence in education?
Nonetheless, AI solutions offer new possibilities for teaching and learning in higher education, and technology can extend human capabilities in teaching, learning, and research when appropriately used [8]. The integration of artificial intelligence (AI) in education has the potential to revolutionise teaching methods and learning outcomes.
Shortly, the anticipated effects of AI on teaching methods and learning outcomes are vast. We have already seen that AI positively impacts knowledge acquisition and engagement when used in teaching units related to AI [6]. However, when implementing AI in education, we must consider potential barriers to learning AI, such as distractions or low motivation [6]. AI teaching units can improve students’ abilities in higher-order thinking and collaboration skills and facilitate the use of simulation and other related technologies to enhance learning outcomes [6][7].
Additionally, AI enables tracking of learning progression and uses data to enhance the customisation of content to students’ needs and capabilities, ultimately enhancing uptake and retention [7]. This fosters deep learning by probing and prodding students for detailed explanations, improving information uptake and retention [7]. AI also facilitates the development and use of intelligent learning systems and adaptive content customised for each student’s learning needs and capabilities, ultimately positively impacting learning outcomes [7].
AI assists teachers in completing administrative tasks
Moreover, AI assists teachers in completing administrative tasks such as reviewing, grading, and providing feedback to students on submitted assignments while increasing instructional quality and efficiency [7]. This allows teachers to spend more time for one-on-one interaction with students [7].
Furthermore, AI can automate the grading and evaluation of homework and essays, give instructors more time for one-on-one interaction with students, work as a full-fledged assistant to help instructors and students with their educational needs in just about any area of need, and enable instructors to gain insights into student learning based on the entire ecosystem of learning tools [7].
Web-based platforms that use AI foster global access to education. It should include affordable, adapted, and customised instructions. The content should identify and assess learner behaviours that encourage collaboration, interactions, and learning among students. The platform should generally offer a better learning experience [7]. Overall, the benefits of AI to learning are expected to surpass the challenges [7].
As with any new technology, using AI in education presents opportunities and challenges. On the one hand, AI has the potential to fundamentally change the governance and internal architecture of higher education institutions [8]. Advances in AI can bring new possibilities and challenges to teaching and learning in higher education [8].
The illustration: Adobe Stock
What are the potential challenges of implementing AI for personalised learning in classrooms?
However, there needs to be more agreement on a definitive definition of AI [8]. When considering a sustainable future, universities must consider the potential risks of using AI in education [9]. For example, using technological solutions such as learning management systems and IT solutions to detect plagiarism raises questions about who sets the agenda for teaching and learning. The potential influence of corporate ventures and tech giants on teaching and learning in higher education could lead to a dystopian future [8].
It is worth noting that AI still needs to be ready to replace teachers but can augment them [8]. The fast pace of technological innovation and job displacement implies a need to reconsider teachers’ roles and pedagogies in higher education [87]. Therefore, careful consideration and analysis are required when implementing AI in education [8]. Ongoing critique and inquiry are needed to ensure that universities remain institutions that promote and develop knowledge and wisdom [8].
While AI for personalised learning in classrooms holds great potential, there are also potential challenges that may arise from its implementation. One such challenge is that educators may need to know the gaps in their courses and instructional resources[1]. AI may help to identify these gaps and provide personalised learning experiences for students. With proper guidance and training for educators, the effectiveness of AI may be improved.
Potential game-changer
Additionally, implementing AI in classrooms may pose challenges such as needing specialised technical knowledge, privacy concerns, and potential bias in the AI algorithms used for personalised learning. These challenges must be addressed to ensure that AI can effectively improve personalised learning outcomes. Therefore, it is essential to carefully consider the potential challenges and develop strategies to address them before implementing AI in classrooms for personalised learning.
AI in education has been identified as a potential game-changer in students’ learning, as it allows for personalised learning experiences. AI-driven tools can create adaptive systems that adjust to students’ requirements and help them learn independently. This is particularly relevant in today’s fast-paced and ever-changing world. Students must have the skills to adapt to new circumstances and challenges [10]. However, implementing AI in classrooms for personalised learning has significant challenges that must be addressed.
These challenges include the need for specialised technical knowledge, privacy concerns, and potential bias in the AI algorithms used for personalised learning. Therefore, developing strategies that address these challenges is crucial before implementing AI in classrooms. Additionally, we need to evaluate the use of AI in personalised learning environments. We can do this to ensure that it does not replace the human element of teaching. The human aspect of education is essential for fostering critical thinking and creativity.
Conclusion
Personalised learning experiences made possible through AI technology gradually replace one-size-fits-all teaching methods. This replacement we will increase this year.
Students strongly agree with the importance of AI in helping them learn. However, only a few students believe AI can replace teachers/lecturers. The year 2024 will underline the need for student-teacher relationships. AI technology can tailor the learning experience to individual students’ needs and identify areas where students need help. AI can provide instructor feedback to improve teaching for struggling students. However, the student needs the “human touch” to learn.
In conclusion, the anticipated effects of AI on learning in 2024 are significant. Still, their implementation must be carefully considered to ensure they contribute to advancing education.
References
- Klašnja-Milićević, A., Ivanović, M. Sustainability | Free Full-Text | E-learning Personalization Systems and Sustainable Education. (n.d.) Retrieved December 31, 2023, from www.mdpi.com/2071-1050/13/12/6713/htm
- Chang, J., Lu, X. The Study on Students’ Participation in Personalized Learning Under the Background of Artificial Intelligence. (n.d.) Retrieved December 31, 2023, from ieeexplore.ieee.org/abstract/document/8964718/
- Pataranutaporn, P., Danry, V., Leong, J. AI-generated characters for supporting personalised learning and well-being. (n.d.) Retrieved December 31, 2023, from www.nature.com/articles/s42256-021-00417-9
- AI-generated characters for supporting personalised learning and well-being — MIT Media Lab. https://www.media.mit.edu/publications/ai-generated-characters-for-supporting-personalized-learning-and-well-being/
- Pratama, M., Sampelolo, R. (n.d.) Retrieved December 31, 2023, from www.journalfkipuniversitasbosowa.org
- Yue, M., Jong, M., Dai, Y. Sustainability | Free Full-Text | Pedagogical Design of K-12 Artificial Intelligence Education: A Systematic Review. (n.d.) Retrieved December 31, 2023, from www.mdpi.com/2071-1050/14/23/15620
- Chen, L., Chen, P., Lin, Z. Artificial Intelligence in Education: A Review. (n.d.) Retrieved December 31, 2023, from ieeexplore.ieee.org/abstract/document/9069875/
- Popenici, S., Kerr, S. Exploring the impact of artificial intelligence on teaching and learning in higher education. (n.d.) Retrieved December 31, 2023, from telrp.springeropen.com
- The AI Challenge | Lëtzebuerger Journal. https://journal.lu/en/ai-challenge
- Employee Coaching Strategies | SOLV HR | HR Consulting Team. https://solvhr.com/employee-coaching-strategies/
Lucubrate Magazine January 2024
The photo on the top of the article: Adobe Stock
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Great article. Very interesting