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Artificial Intelligence has penetrated all sectors and higher education is no exception to this technological transformation. Its ubiquity is reflected in the multiple ways the technology is being used to revolutionize the sector. AI is touted to hold potential to address the varied challenges in the education sector today and speed up progress towards Sustainable Development Goals 4.
AI’s pronounced prominence is exhibited in the conviction showcased by international organizations like UNESCO in its potential to transform education. The international body has developed within the framework of the Beijing Consensus a publication with an objective to foster readiness to employ AI among education policy-makers. It intends to build a shared understanding of the educational possibilities and challenges offered by AI and to instill an understanding of its implications for the core competencies needed in the AI era.
Artificial Intelligence endeavors to create machines that help accomplish tasks that were previously only achievable through human or biological cognition. The technology offers huge potential for universities across the globe to offload time-intensive administrative and academic work, enhance the potency of IT processes, boost enrollment in times of uncertainty and deliver better learning outcomes for students.
AI can be leveraged in multiple ways to revolutionize the education sector. From education management and delivery to learning and assessment, AI can facilitate a lot of processes. The use of AI in education management and delivery has grown exponentially over the past few years. A lot of institutions have already adopted AI technologies to enhance data collection and processing, making education management and provision more equitable, inclusive, open, and personalized.
The introduction of AI in education does not entail the replacement of human faculty, but enhancement of learning experience by providing swift, technological assistance to human teachers. To put it simply, AI is an extension of human intelligence. With the help of this disruptive technology, institutions the world over are able to customize the experience of not only the learners but also the teachers. AI’s benefits in education are immense and have the potential to optimize both learning and teaching. Here is how AI is assisting students to learn better-
Big or small, AI can make significant changes in the operations of all colleges and universities. Institutions are now leveraging AI to bolster student outcomes. Data-powered AI tools are assisting higher education institutions to predict enrollment trends and optimize recruitment and retention efforts. Significant examples have emerged from prestigious institutions that are harnessing the power of AI to up their enrollment and retention game. The staff at Durham University in the United Kingdom use Holly, an AI-enabled "student engagement platform," to boost student success during the admissions process. Georgia State University, introduced an AI chatbot, Pounce, in 2016 that helped reduce the summer melt by 22%.
AI is being used to aid students and institutions at various stages.
Several reputable higher education institutions around the world are utilizing AI for learning analytics. There are numerous ways AI is being used by them, ranging from Digital Learning Scorecards that use machine learning to identify students who are struggling academically to using natural language processing for analyzing transcripts of course sessions, and developing sentiment analysis tools to investigate students' emotions and attitudes during their interaction on social media about their course experience. All this indubitably speaks about the growing ubiquity of AI in the learning environment of higher education institutions. However, AI still needs to imprint on the academic landscape of the future.
The recent discourse about AI and higher education uplifts the potential of AI to tackle current challenges in teaching, learning, and student success and offers the opportunity to recalibrate our academic programs in ways that will better serve “Generation AI.”
AI is gaining traction as a mainstream instructional tool in a number of higher education institutions.
Artificial intelligence has certainly opened the floodgates of possibilities and opportunities for recalibration and improvement on multiple fronts for higher education institutions. However, educational technologists are frisking for ethical challenges that may accompany this technological transformation. To better understand the ethical and legal challenges brought about by the use of AI in higher education, the University of Stockholm has started a project primarily focusing on predictive analytics. Among the several objectives that the project wants to accomplish, the ambition to evolve general knowledge on how to engage with the ethical and legal challenges related to the use of AI in higher education from the ground up, and to design a “Swedish Observatory for Responsible AI in Education” that will help raise awareness towards responsible use of AI in higher education hold primary importance.
Research and literature are brimming with assertions about how leveraging AI can be a game-changer for higher education institutions. Its efficiency and efficacy have been captured and reflected in its ability to acquire different data at the most granular level in real-time. This cutting-edge technology has the ability to examine a large number of students, whether in the classroom or during the application process. Thus, AI broadens the scope of possibilities in higher education by overcoming the constraints of human cognition and the difficulty of dealing with several students or a large amount of data at the same time.
The potential to analyze and cater to several students stands as a huge assurance to equality, a long-envisioned dream in education. It brings with it the promise of better-quality education to sans their geographical location. At a macro level, AI can prove beneficial in improving the pedagogy to adapt to individual needs as well as for learning in general.
Touted as a pivotal technology, AI can be a force for good. It does, however, come with some risks. Like the risk of adverse outcomes due to data concerns (such as data being outdated), or that of focusing on a certain segment of the population that may not match the desired student group.
Another factor that undermines AI's appeal in higher education is the issue of its comprehensiveness and inclusion. Biases have historically plagued technology. For example, the facial recognition software employed by IT behemoths such as Microsoft, Google, and IBM detects light-skinned men more accurately than light-skinned women or darker-skinned men.
Artificial intelligence is a promising technological innovation driven by humans for humans. As has been stated oftentimes in various discussions, its potential to bridge the skill gap, promote equality in education, and provide personalized and easy access to learning is enormous. Higher education institutions all around the world are jumping on the AI bandwagon to stay ahead of the competition and tap into the student reservoir from the application and enrollment stage to the learning and engagement stage. The future is being designed, and while we humans will be in charge, AI will be at the forefront of executing all that was previously accomplished via human capacity by going that extra mile that was not conceivable through human cognition.
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