In the last decade, many universities have competed to build what is\nknown as a Smart Campus. Academic information systems have become more\ncomprehensive, administrative services increasingly digital, various\nprocesses paperless, and performance dashboards are available in almost\nevery work unit. This transformation represents significant progress\nthat has improved the efficiency and quality of higher education\nservices.<\/p>\n
However, an interesting question arises: is a smart campus\nautomatically an intelligent campus?<\/p>\n
At first glance, the two terms appear identical. In Indonesian, the\nwords \u2018smart\u2019 and \u2018intelligent\u2019 are often both translated as \u2018cerdas\u2019.\nYet they carry different meanings.<\/p>\n
A smart campus is one that can collect, store, and display\ninformation well. When leaders need to know the number of active\nstudents, graduation rates, number of publications, or the institution\u2019s\nfinancial condition, this data can be obtained quickly through various\nintegrated information systems. A smart campus makes data more\naccessible and services more efficient.<\/p>\n
But an intelligent campus goes a step further.<\/p>\n
An intelligent campus not only knows what is happening but also\nunderstands why it is happening, predicts what might happen next, and\nhelps determine what actions should be taken. In other words, an\nintelligent campus is capable of turning data into better decisions.<\/p>\n
This distinction is becoming increasingly important in the era of\nArtificial Intelligence (AI). Today, almost all universities possess\nvast amounts of data, from academic and research data to financial and\nstudent activity data. The challenge is no longer how to collect data,\nbut how to utilise that data to generate added value for the\ninstitution.<\/p>\n
For example, an information system can show that a number of students\nare at risk of graduating late. However, an AI-supported system can help\nidentify the causal factors, predict the risk level for each student,\nand even recommend the necessary interventions. In this case, AI does\nnot merely display information but helps build institutional\nintelligence.<\/p>\n
Therefore, the future development of higher education cannot focus\nsolely on digitalisation. Digitalisation is an important foundation, but\nit is not the end goal. Universities need to move towards the\nutilisation of AI that can support decision-making, improve service\nquality, strengthen governance, and accelerate the achievement of\ninstitutional goals.<\/p>\n
However, it must be understood that AI is not the goal itself. The\nreal goal is to build Institutional Intelligence. AI is merely a tool\nthat helps universities understand the conditions they face, make better\ndecisions, and generate greater impact.<\/p>\n
Ultimately, the future of higher education is determined not just by\nhow much technology an institution possesses, but by how wisely that\ntechnology is used to improve the quality of education, research, and\ncommunity service.<\/p>\n
Because a smart campus can provide information. But an intelligent\ncampus can turn information into decisions, and decisions into a\nbeneficial impact for society.<\/p>", "url": "https:\/\/jawawa.id\/newsitem\/smart-campuses-are-not-necessarily-intelligent-campuses-1782363204", "image": "" }, "sponsor": "Okusi Associates", "sponsor_url": "https:\/\/okusiassociates.com" }