UX For Artificial Intelligence In Higher Education: An Urgent Priority In Costa Rica

(MENAFN- Costa Rica News) The post UX for Artificial Intelligence in Higher Education: An Urgent Priority in Costa Rica appeared first on The Costa Rica News.

In Costa Rica, artificial intelligence is appearing with increasing frequency in university debates, at academic conferences, and on the public policy agenda. Laboratories, pilot projects, and new platforms are being announced. However, there is a less visible question that is beginning to be decisive: who is designing the UX (user experience) of this artificial intelligence? The discussion cannot be limited to the model or computing capacity. If AI enters higher education without a user-centered design, the result will not be innovation, but academic frustration.

The country has already made significant strides in infrastructure. The 5G technology auction led by the Superintendency of Telecommunications and the progress in academic connectivity through the RedCONARE network demonstrate that there is a growing technological foundation. Furthermore, the Costa Rican Electricity Institute has noted that the country has a largely renewable energy mix, a significant competitive advantage for attracting digital investment. However, none of these conditions alone guarantees that artificial intelligence will improve learning.

In the university classroom, the user experience is not a mere aesthetic accessory; it is the bridge between the technological tool and the educational purpose. When an artificial intelligence platform generates imprecise answers without indicating their level of certainty, when an automated assessment system fails to explain its criteria, or when an institutional chatbot does not take students' cultural context into account, academic trust begins to erode.

Higher education in Costa Rica faces specific challenges: digital divides between regions, faculty overload, socioeconomic diversity among students, and growing accreditation requirements. Incorporating artificial intelligence without a rigorous pedagogical and experiential design can exacerbate these inequalities. A confusing interface disproportionately affects those with lower digital literacy. A system lacking transparency undermines the development of critical thinking skills.

The experience design for artificial intelligence systems in universities should adhere to at least four principles. First, clarity: students must understand what the tool does and what its limitations are.

The post UX for Artificial Intelligence in Higher Education: An Urgent Priority in Costa Rica appeared first on The Costa Rica News.

MENAFN24032026000216011060ID1110897647