Digital transformation has profoundly impacted engineering education, demanding new pedagogical approaches that ensure effective and sustainable learning. Educational psychology plays a fundamental role in strategically integrating educational technologies, fostering more inclusive, interactive, and efficient learning environments. This article explores the intersection of technological innovation, engineering education, and educational psychology, analyzing how digital tools such as Artificial Intelligence, virtual reality, gamification, and remote laboratories can optimize the teaching–learning process. It also examines the psychopedagogical impact of these technologies, addressing challenges like cognitive load, student motivation, digital accessibility, and emotional well-being. Finally, the article presents guidelines for sustainable implementation aligned with the Sustainable Dev...

Background: Daily stressors are events of low emotional impact but with high probability of occurrence, which in adolescence can come from school, friends and family. Therefore, it is necessary to have instruments for their evaluation. Aim: To determine the validity of the internal structure and measurement invariance of the Children’s Hassles Scale in adolescents from Lima, Peru. Method: The sample consisted of 524 adolescents between 14 and 18 years old. The internal structure was evaluated by confirmatory factor analysis, and the measurement invariance was assessed using a procedure in which restrictions were added progressively. Finally, reliability was obtained through coefficient omega. Results: The original factor structure is not replicated in the Peruvian sample. On the contrary, a parsimonious structure of two oblique factors oriented to stressors in school and family present...

The behavioral strategies for emotional regulation in adolescents are associated with mental health issues such as depression, making it important to have tools that allow for their assessment. This study uses an instrumental design and aims to evaluate the psychometric properties of the Behavioral Emotion Regulation Questionnaire (BERQ) in Peruvian adolescents. The sample was selected using a non-probabilistic convenience sampling method and consisted of 392 adolescents aged 14 to 17 years (M = 15.75; SD = .85), with 52.5% being male. Through exploratory structural equation modeling, it was found that the original five-factor structure was replicated (CFI = .988; RMSEA = .045, 90% CI .031, .058; WRMR = .429), and each factor achieved acceptable reliability values through Cronbach’s alpha and McDonald’s omega coefficients. Additionally, it was found that only withdrawal (β = −.49)...