{
    "success": true,
    "data": {
        "id": 1620676,
        "msgid": "data-science-making-education-smarter-heres-why-todays-students-need-to-understand-it-1773755549",
        "date": "2026-03-17 19:45:44",
        "title": "Data Science Making Education Smarter? Here's Why Today's Students Need to Understand It!",
        "author": "Ferry kisihandi",
        "source": "REPUBLIKA",
        "tags": "",
        "topic": "Technology",
        "summary": "Data science is transforming Indonesian education by analysing student performance data to personalise learning and improve teaching methods. The technology enables adaptive learning systems, early identification of struggling students, and curriculum evaluation, though implementation requires skilled data analysts and robust data privacy protections. Universities like Cyber University are preparing students for digital careers by integrating data science competencies into their Information Technology programmes.",
        "content": "<p>In today\u2019s digital era, virtually all activities leave data traces,\nincluding the education sector. From assignment marks and class\nattendance to activity on online learning platforms and problem-solving\nmethods, everything is stored as data. This is where data science plays\na significant role.<\/p>\n<p>Data science is a field that combines statistics, programming, data\nanalysis, and artificial intelligence to process large volumes of data\ninto useful information.<\/p>\n<p>In education, this technology helps universities understand the\nlearning process of students more deeply. It goes beyond simply viewing\nfinal grades to understanding actual student learning patterns.<\/p>\n<p>Consider if a university could determine which materials students\nfind most difficult to understand, which learning methods are most\neffective, or even detect early which students are struggling to keep up\nwith lectures. Through data analysis, lecturers and educational\ninstitutions can make more informed decisions to improve learning\nquality.<\/p>\n<p>One application of data science in education is the analysis of\nstudent academic performance. Data such as marks, attendance rates, and\nlearning platform activity can be analysed to identify certain patterns.\nFrom this, universities can determine which students need additional\nsupport so they don\u2019t fall behind in their learning process.<\/p>\n<p>Moreover, data science helps universities evaluate curricula. By\nanalysing data from various courses, educational institutions can\ndetermine which materials are most effective, which teaching methods are\nmost successful, and which areas need improvement.<\/p>\n<p>This technology even enables adaptive learning \u2013 an educational\nsystem that adjusts material to suit each student\u2019s ability. Learning\nexperiences are no longer standardised for everyone, but rather\npersonalised and tailored to individual needs.<\/p>\n<p>For students, data-driven learning systems make the learning process\nmore effective. Learning platforms can recommend supplementary\nmaterials, practice questions, or study methods suited to individual\nability. As a result, students can learn in ways that are more\nappropriate and efficient.<\/p>\n<p>For educational institutions, utilising data science helps improve\nefficiency in education management. Data can be used to design academic\nstrategies, enhance the quality of educational services, and create more\naccurate policies based on facts and analysis.<\/p>\n<p>However, applying data science in education also presents challenges.\nOne is the need for human resources with data analysis capabilities.\nAdditionally, managing student data must consider security and privacy,\nas educational data constitutes sensitive information.<\/p>\n<p>Nevertheless, if properly utilised, data science has great potential\nto make education systems smarter, more adaptive, and more effective.\nThrough proper data analysis, educational institutions can understand\nstudent needs more deeply whilst improving learning quality in the\ndigital era.<\/p>\n<p>Recognising the importance of data technology today, Information\nTechnology study programmes are equipping students with competencies in\ndata science and data analysis. Through curricula relevant to industry\nneeds and technology-based learning approaches, students are prepared to\nprocess and analyse data across various fields.<\/p>\n<p>Cyber University, known as The First Fintech University in Indonesia,\noffers an Information Technology study programme designed to follow\ntechnological developments and digital industry needs. Here, students\nlearn not only theory but also gain practical capabilities in processing\nand analysing data for various digital innovations.<\/p>\n<p>So, if you are interested in the world of technology, data, and the\nfuture of the digital industry, perhaps now is the time to consider this\nfield. Find out more about the Information Technology study programme at\nCyber University and begin your journey as a future digital talent!<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/data-science-making-education-smarter-heres-why-todays-students-need-to-understand-it-1773755549",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}