them to real-life, fast-paced, agile scenarios that require them to apply their skills in a practical setting. This allows them to gain a hands-on understanding of the world of work and core business concepts that they can incorporate in the competitive workforce. INCLUDE AI DEVELOPMENT IN PROGRAMME CURRICULA It is critical to stay abreast of AI trends to facilitate learning and assessments, as this allows for the curriculum to be reviewed and adjusted in order to encourage the fundamental integration of AI and the transformation of learning methodologies. The learning-by-doing approach, combined with awareness of trends regarding the potential of AI to support learning, will aid institutions in evaluating and modifying curricula. This will help promote and foster adoption of creative AI solutions in a course’s teaching, learning and assessment, in areas where the bene ts of using AI clearly outweigh the risks. AI solutions can facilitate well-de ned learning tasks in di erent subject areas and support the development of further tools for interdisciplinary skills and competencies. Further advanced uses of tech-enabled tools such as virtual reality (VR) and augmented reality (AR) within classrooms will enable students’ exposure to technology, while getting them accustomed to using these tech tools. Examples of VR and AR presently used in education include Blippar, Eon Reality, Google for Education, NeoBear and VRMonkey. While an integration of AI in the curriculum can bene t learning and assessment methodologies, it is essential that the trainer’s role is also regularly reviewed and redesigned if necessary, making sure trainers have competencies such as analytical thinking and innovation, instructional design and technological literacy, learning strategies and change management, ethical and moral reasoning and data interpretation. Faculty must also regularly undergo training, including professional accreditations such as Advance HE. Developing appropriate capacity- building programmes – training and development such as documenting pedagogy through teaching cases – will prepare faculty to work in AI-rich settings. USE AI TOOLS IN CAREER DEVELOPMENT PROGRAMMES Just as AI is transforming the job market, universities and colleges are beginning to harness its power to provide students with more e ective career services.
engineering and design of new technologies a ect the political, economic, social and cultural sectors. Sharing insights about recent developments in the industry and implementing measures to cope with the dynamism of these mini-industrial revolutions can help students adapt within this turbulence. COLLABORATE WITH INDUSTRY FOR EXPERIENTIAL LEARNING ELP, or experiential learning programmes, can enable students to apply theoretical knowledge of technology and AI to practical business scenarios. Within ELP, students gain the opportunity to collaborate closely with real companies, prepare consulting proposals, research, report and make recommendations to the client. The process is guided by industry experts and faculty advisors and the end result is an innovative culture that yields unparalleled insights into the global economy, assessed by rst-hand experience. Crucially, this hands-on approach encourages students to develop critical-thinking, problem-solving and team-building skills while they work on real-world business challenges. Tools such as Forage and InsideSherpa can assist students by generating fast-paced virtual internships, which allow them to gain practical skills and industry experience. Experiential learning can be extended beyond virtual internships where institutions can directly connect with senior alumni and industry professionals with expertise in technology and AI for mentorship. Mentors possess valuable experience in their elds, which helps the mentees develop a deeper understanding of the market with real experience-sharing. Furthermore, institutions can also help by setting up a founder’s lab on campus, which allows students to immerse themselves in entrepreneurial endeavours, fostering innovation and business acumen. Building clubs and organising events related to the eld of AI creates platforms for students to network, collaborate and apply their knowledge in practical contexts. Experiential learning often generates vast amounts of data. The integration of AI in ELPs can help students and institutions analyse this data to identify patterns, trends and insights, which helps them gain a deeper understanding of the learning outcomes. AI algorithms can provide valuable feedback based on data analysis, enabling students to re ect on their experiences and make informed decisions for future endeavours. The key objective of integrating AI with ELP is to enhance students’ learning experience by exposing
18 Business Impact ISSUE 3 2023
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