Learning Models for Higher Education in Engineering: Motivation, Self-Determination, and the Role of Information and Communication Technologies

Ana Bustamante-Mora, Mauricio Diéguez-Rebolledo (), Yemsy Hormazábal, Yolanda Valdés and Rodrigo Cadena
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Ana Bustamante-Mora: Departamento de Ciencias de la Computación e Informática, Universidad de La Frontera, Temuco 4811230, Chile
Mauricio Diéguez-Rebolledo: Departamento de Ciencias de la Computación e Informática, Universidad de La Frontera, Temuco 4811230, Chile
Yemsy Hormazábal: Departamento de Ciencias de la Computación e Informática, Universidad de La Frontera, Temuco 4811230, Chile
Yolanda Valdés: Facultad de Ingeniería, Sede Talca, Universidad Autónoma de Chile, Talca 3480094, Chile
Rodrigo Cadena: Departamento de Posgrado, Universidad Tecnológica de México, Ciudad de México 11320, Mexico

Sustainability, 2023, vol. 15, issue 17, 1-29

Abstract: In the last decade, great strides have been made to increase access to education and enrollment rates at all levels (primary, secondary, and higher education). Actions such as promoting equal access to education, preventing school dropout, and establishing free education, among other actions proposed by organizations such as UNESCO, seek to guarantee the universality of education. This is undoubtedly a great challenge, and to address it, it is necessary to characterize how students face the learning process, considering factors such as autonomy, competencies, and their own basic psychological needs, looking for effective learning models based on students’ needs in a changing world, where ICTs play a relevant role. This research analyzes learning models, motivation, self-determination, and technologies used for learning achievement in higher engineering education. The study will highlight relevant initiatives and the most commonly used technological tools. It will also identify learning models that seek to link emotional intelligence, self-determination, cognitive skills, and ICT. The PRISMA protocol guided the study, finding 132 relevant articles to be analyzed and proposing best practices in using learning models, strategies, and ICT to foster students’ intrinsic motivation.

Keywords: engineering; higher education; motivation models; self-determination; emotional intelligence; metacognition; technologies; ICT (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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