Industry has been considered a major actor regarding the actions and changes needed to achieve sustainable development. Different approximations to the topic have been developed to face the challenges of having a more responsible production of goods and services. These approximations include cleaner production, green design, ecodesign, eco efficiency, design for sustainable behavior, sustainable design, and more recently concepts like circular economies among many more. In all these approaches, the attention has been mainly on the production side while consumption has been tackled indirectly. The majority of laws and ordinances that have motivated the emergence of these approaches have traditionally been oriented to producers. However, an European Union (EU) directive launched in October 2019, called “right to repair”, could change this paradigm, empowering consumers by giving them more possibilities of repairing their products instead of discarding them. This paper presents a preliminary discussion about the effects this directive might have on how we consume products now and how we will consume them in the future.

Teamwork has been systematically studied in engineering education as an educational method and a learning outcome. Based on the recent advances in socially-shared regulation as a framework for teamwork processes, this study explores the impact of the transition to online learning. The purpose of this study is to understand if face-to-face and online team dynamics differ concerning the prevalence of personal goals, team challenges, and individual/social strategies. The Adaptive Instrument for Regulation of Emotions (AIRE) Questionnaire was used to compare two semesters in project-based learning engineering courses that were face-to-face (2019) and then converted to an online modality (2020) due to the COVID-19 crisis. Our results show that both modalities report mostly the same prevalence of goals, challenges, and strategies. However, online students tend to manifest a significantly lower prevalence of specific challenges and strategies, suggesting that online teamwork may have involved less group deliberation. These results provide evidence for the "equivalency theory" between online and face-to-face learning in a context where all systemic levels transitioned to a digital modality. These findings raise the question of whether online teaching encourages the emergence of team conflict and deliberation needed for creative thinking.

This article presents a controlled case study focused on implementing and using Generative Artificial Intelligence (AI), specifically Large Language Models (LLM) in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into an existing feedback-oriented platform to guide instructors in providing feedback inputs and establish a reference framework for future innovations in practical skills training for health professions education. Specifically, the proposed solution uses LLM to automatically evaluate feedback inputs made by instructors based on pre-defined and literature-based quality criteria and generates actionable textual explanations for reformulation. In addition, if the instructor requires, the tool supports summary generation for large sets of text inputs to achieve better student reception and understanding. The case study describes how these features were integrated into the feedback-oriented platform, how their effectiveness was evaluated in a controlled setting with documented feedback inputs, and the results of its implementation with real users through cognitive walkthroughs. Initial results indicate that this innovative implementation holds great potential to enhance learning and performance in physiotherapy education and has the potential to expand to other health disciplines where the development of procedural skills is critical, offering a valuable tool to assess and improve feedback based on quality standards for effective feedback processes. The cognitive walkthroughs allowed us to determine participants' usability decisions in the face of these new features and to evaluate the perceived usefulness, how this would integrate into their workload, and their opinion regarding the potential for the future within this teaching strategy. The article concludes with a discussion of the implications of these findings for practice and future research directions in this developing field.

The growth of undergraduate entrepreneurship education programs and research, both within and outside of business programs, has led to a diverse array of academic literature on this topic. The diversity of perspectives has led to many conceptual and educational challenges that remain unresolved within the literature. The following conceptual paper offers a critical perspective on challenges that have been identified. A narrative-style literature review was conducted to explore challenges emerging from both (a) the practice of teaching entrepreneurship and (b) the definitions and assessment of entrepreneurial mindsets and skills that result from those education processes in entrepreneurship education, particularly within an undergraduate engineering education context. We achieve this objective by discussing previously dispersed sources of literature from disciplines that have critically discussed and explored entrepreneurial themes, such as business education, sociology, psychology, and philosophy. Contemporary debates within multiple disciplines are integrated and organized as challenges to inspire new theoretical discussions among scholars, educators, and other practitioners that can inform a more comprehensive way to conceive and assess entrepreneurship in engineering education. Seven challenges were identified ranging from the definition of entrepreneurship in education to the role of ethics in the teaching and assessment of entrepreneurship. We use these seven challenges and research questions as a starting point for the disambiguation of the working definition of entrepreneurship in the context of engineering education.

Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential of LADs, understanding their design to enhance SRL and provide useful feedback remains a significant challenge. Focusing on LAD design, implementation, and evaluation, the study followed a mixed-methods two-phase design-based research approach. The study used a triangulation methodology of qualitative interviews and SRL and sensemaking questionnaires to comprehensively understand the LAD’s effectiveness and student SRL and feedback uptake strategies during remote procedural skills training. Initial findings revealed the value students placed on performance visualization and peer comparison despite some challenges in LAD design and usability. The study also identified the prominent adoption of SRL strategies such as help-seeking, elaboration, and strategic planning. Sensemaking results showed the value of personalized performance metrics and planning resources in the LAD and recommendations to improve reflection and feedback uptake. Subsequent findings suggested that SRL levels significantly predicted the levels of sensemaking. The students valued the LAD as a tool for supporting feedback uptake and strategic planning, demonstrating the potential for enhancing procedural skills learning.