Psychometric properties and measurement invariance of the Rigid and Flexible Persistence Scale in a Brazilian professional sample.

Persistence involves the intention to maintain efforts when faced with obstacles and challenges, in order to achieve a specific goal. The Rigid and Flexible Persistence Scale (RFPS) is a self-report measure that assesses persistence that is theoretically derived from the premises of the Dualistic Model of Passion. The aim of the present research was to adapt the RFPS to Brazilian Portuguese and to estimate its evidence of validity and reliability in the context of work.

The potential of learning with (and not from) artificial intelligence in education.

AI-powered technologies are increasingly being developed for educational purposes to contribute to students' academic performance and overall better learning outcomes. This exploratory review uses the PRISMA approach to describe how the effectiveness of AI-driven technologies is being measured, as well as the roles attributed to teachers, and the theoretical and practical contributions derived from the interventions. Findings from 48 articles highlighted that learning outcomes were more aligned with the optimization of AI systems, mostly nested in a computer science perspective, and did not consider teachers in an active role in the research.

Disrupted Lessons in Engineering Robotics: Pivoting Knowledge Transfer From Physical to Virtual Learning Environments.

This study examined the effects of an Arduino microrobot activity on college students' interest in robotics through three specific objectives: (1) determining how students' conceptual understanding regarding the basics of microcomputing and computer programming changes after engaging in an engineering robotics learning module, (2) assessing the impact of these changes on students' sense of competence in engineering robotics, and (3) explaining the role of students' perceived knowledge transferability in the relationship between their sense of competence and changes in their interest for pursuing engineering robotics. Participants (n = 58) were recruited from two Engineering Physics courses and surveyed before (Time 1) and after (Time 2) an Arduino microcomputing learning activity. First, significant increases were reported post-activity for interest in robotics, as well as conceptual understanding of microelectronics and computer programming.