{"id":170579,"date":"2025-07-28T14:50:40","date_gmt":"2025-07-28T20:50:40","guid":{"rendered":"https:\/\/tecscience.tec.mx\/en\/?p=170579"},"modified":"2025-07-29T13:28:14","modified_gmt":"2025-07-29T19:28:14","slug":"ife-impact-report","status":"publish","type":"post","link":"https:\/\/tecscience.tec.mx\/en\/education-and-humanism\/ife-impact-report\/","title":{"rendered":"Future Skills, Gender Gap, and Computational Thinking: Highlights from the IFE Impact Report"},"content":{"rendered":"\n

Researchers at the Institute for the Future of Educatio<\/a>n (IFE) are developing platforms to forecast the skills that will be essential in Industry 4.0. At the same time, they are working to cultivate computational thinking among students and collaborating to reduce the gender gap in science and technology.<\/p>\n\n\n\n

These are just a few of the projects featured in The IFE Impact Report<\/a>, which showcases Tecnol\u00f3gico de Monterrey\u2019s progress in creating solutions to global challenges in higher education<\/strong> and lifelong learning.<\/p>\n\n\n\n

Michael Fung<\/a>, Executive Director of the IFE, describes the report as the result of efforts by the institution\u2019s researchers, partners, and global collaborators to impact millions of people by innovating in education. \u201cThrough evidence-based approaches, we\u2019ve established relevant frameworks and practices to tackle the key challenges and opportunities facing education, including Artificial Intelligence, digital learning, microcredentials, and future skills forecasting.\u201d<\/p>\n\n\n\n

The report presents over 50 initiatives in research, entrepreneurship, consulting, and outreach that the institute carried out between March 2024 and February 2025.<\/p>\n\n\n\n

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Shaping Skills: Identifying the Competencies for Tomorrow\u2019s Industries<\/h2>\n\n\n\n

Shaping Skills<\/strong> is a project led by the Research Lab<\/a>, one of IFE\u2019s core research units. It\u2019s built on a platform that uses artificial intelligence<\/a> technologies and algorithms\u2014such as natural language processing (NLP) and large language models (LLMs)\u2014to identify the future skills needed across various sectors.<\/p>\n\n\n\n

The process begins by gathering large volumes of job postings and r\u00e9sum\u00e9s. After cleaning the data, the documents are converted into plain text so that algorithms can analyze them and detect key concepts like knowledge areas and skills. These are then compared to a taxonomy developed by the research team, based on the KSA model (Knowledge, Skills, and Abilities).<\/p>\n\n\n\n

As an open-access tool<\/a>, the platform allows users to consult and visualize reports such as rankings of the most in-demand skills, trend detection, and sector-based analyses. It can also generate customized studies for universities, companies, and governments.<\/p>\n\n\n\n

Under the leadership of researcher Patricia Caratozzolo<\/a>, the team analyzed more than 230,000 job postings in Mexico and in the United States<\/strong>\u2014specifically in the San Francisco and Silicon Valley regions\u2014focusing on the automotive and information and communication technologies sectors. With additional financial support, the tool could expand to include insights into the healthcare and manufacturing sectors.<\/p>\n\n\n\n

\u201cUsing artificial intelligence and machine learning tools and techniques, we\u2019ve been able to identify the knowledge, skills, and competencies<\/strong> professionals need to develop for each economic sector,\u201d she explains. \u201cIt provides universities with foresight into which future skills<\/strong> to prepare for and gives industry a window into its future workforce.\u201d<\/p>\n\n\n\n

With support from another IFE unit, the Living Lab & Data Hub<\/strong>\u2014led by H\u00e9ctor Ceballos<\/a>\u2014the team runs automated searches every two weeks across eight job databases, including LinkedIn, OCC, and Indeed, to generate diagnostics and projections.<\/p>\n\n\n\n

E4C&CT: Scaling Computational Thinking<\/h2>\n\n\n\n

E4C&CT<\/strong> is an educational model<\/strong> designed to foster the development of computational skills as well as complex thinking\u2014scientific, critical, innovative, and systemic\u2014that helps new generations grasp the implications and limitations of Artificial Intelligence.<\/p>\n\n\n\n

IFE researcher Rasikh Tariq<\/a> explains that computational thinking consists of four key subskills:<\/p>\n\n\n\n