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The European Higher Education Area has ushered in a significant shift in university teaching, aiming to engage students more actively in classes. Professors have leveraged virtual platforms and external tools to introduce interactive tasks. With the proliferation of technology, educators face a challenge in choosing the most suitable approach. This paper presents SMART (Selection Model for Assessment Resources and Techniques), a methodology that determines the optimal assessment activities for university-level education. The methodology employs multicriteria decision-making techniques, specifically AHP and TOPSIS methods, to optimize activities based on various subject-, lecturer-, activity-, and student-related criteria. According to SMART, the top five assessment tasks are group and individual report submissions, workshops, complex H5P activities, and questionnaires. Therefore, it is advisable to prioritize these activities based on the methodology's results, emphasizing their importance over other assessment methods. [ABSTRACT FROM AUTHOR]

Traditional face‐to‐face learning and teaching methodologies are currently being replaced or combined by virtual and digital campuses. In fact, a variety of online activities are available for virtual classrooms, becoming more interactive and creative teaching strategies. Among them, H5P is a free and open source platform that allows the creation of interactive content to be embedded in virtual campuses. This paper presents a comparison between traditional online and interactive H5P activities. The case study was carried out on the Wind Energy subject, within the MSc in Renewable Energies, assessing the impact on students and teachers through different indicators. The mean score of students who participated in the traditional online activity was 7.4/10, slightly lower than that of students who participated in the interactive H5P activity, which was 8.4/10. Actually, the statistical analysis showed that the proposed interactive H5P activity did not present a significant improvement on the average grade, in comparison to the traditional online activity. In terms of the students' perception, 75% found the interactive H5P activity easy to do, and 55% felt more motivated compared to traditional online activities. Moreover, teachers pointed out that the activity positively influenced students in terms of participation and motivation. These results confirm that the digital environment is here to stay, combined with other activities to fulfill all the skills and competences to be achieved. [ABSTRACT FROM AUTHOR]

Wind power is widely considered to be a qualified renewable, clean, ecological and inexhaustible resource that is becoming a leader in the current energy transition process. It is a mature technology solution that was quickly developed and has been massively integrated into power systems in recent years. Indeed, a remarkable number of renewable integration policies have been promoted by different governments and countries. With the aim of maximizing the power given by wind resources, the locations of both onshore and offshore wind power plants must be optimized following a sort of different criteria. Under this scenario, a number of factors and decision criteria in the evaluation and selection of locations can be identified. Moreover, the relevant wind power increasing in the power generation mix is addressed, along with a standardization of factors and decision criteria in the optimization and selection of such optimal locations. In this context, this paper describes a systematic review and meta-analysis combining most of the contributions and studies proposed during the last decade. Thus, our aim is focused on reviewing and categorizing all factors to be considered for optimal location estimation, pointing out the differences among the selected factors and the decision criteria for onshore and offshore wind power plants. In addition, our review also includes an analysis of the representative key indicators for the contributions, such as the annual frequency of publications, geographical classification, analysis by category, evaluation method and determining factors. [ABSTRACT FROM AUTHOR]