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primary topic: Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students

Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students
type: AcademicArticle
type: Article
abstract: Background/Objectives: The growing integration of Artificial Intelligence (AI) and chatbots in health professional education offers innovative methods to enhance learning and clinical preparedness. This study aimed to evaluate the educational impact and perceptions in university students of Human Nutrition and Dietetics, regarding the utility, usability, and design of the E+DIEting_Lab chatbot platform when implemented in clinical nutrition training. Methods: The platform was piloted from December 2023 to April 2025 involving 475 students from multiple European universities. While all 475 students completed the initial survey, 305 finished the follow-up evaluation, representing a 36% attrition rate. Participants completed surveys before and after interacting with the chatbots, assessing prior experience, knowledge, skills, and attitudes. Data were analyzed using descriptive statistics and independent samples t-tests to compare pre- and post-intervention perceptions. Results: A total of 475 university students completed the initial survey and 305 the final evaluation. Most university students were females (75.4%), with representation from six languages and diverse institutions. Students reported clear perceived learning gains: 79.7% reported updated practical skills in clinical dietetics and communication were updated, 90% felt that new digital tools improved classroom practice, and 73.9% reported enhanced interpersonal skills. Self-rated competence in using chatbots as learning tools increased significantly, with mean knowledge scores rising from 2.32 to 2.66 and skills from 2.39 to 2.79 on a 0–5 Likert scale (p < 0.001 for both). Perceived effectiveness and usefulness of chatbots as self-learning tools remained positive but showed a small decline after use (effectiveness from 3.63 to 3.42; usefulness from 3.63 to 3.45), suggesting that hands-on experience refined, but did not diminish, students’ overall favorable views of the platform. Conclusions: The implementati…
date: 2026
volume: 18
issue: 2
is part of: Nutrients
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Texto)
has document: Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Otro)
subject: Nutrition

Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Texto)
type: Document
has file: nutrients-18-00257.pdf
has part: nutrients-18-00257.pdf

Nutrients
type: Collection
issn: 20726643

Arturo Ortega-Mansilla
type: Person
given name: Arturo
family name: Ortega-Mansilla

Imanol Eguren García
type: Person
given name: Imanol
family name: Eguren García

Iñaki Elío Pascual
type: Person
given name: Iñaki
family name: Elío Pascual

Sandra Sumalla Cano
type: Person
given name: Sandra
family name: Sumalla Cano

Thomas Prola
type: Person
given name: Thomas
family name: Prola

Álvaro Lasarte García
type: Person
given name: Álvaro
family name: Lasarte García

Kilian Tutusaus
type: Person
given name: Kilian
family name: Tutusaus

Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Otro)
type: Document
is version of: Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Texto)
is volatile version of: Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students (Texto)
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has part: indexcodes.txt

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Nutrition
type: Concept
preferred label: Alimentación @es