Maria Rodriguez

The aim of the present study is to analyze individual differences in academic self-efficacy within a population of Unaccompanied Foreign Minors from the European cities of Ceuta and Melilla. Variables describing educational level and length of stay were considered in a sample of 377 individuals being cared for in different youth centers. Of these, 63.4% belonged to the group who had stayed at the center for less than 9 months and 36.6% reported a length of stay of more than 9 months. The age of participants ranged between 8 and 17 years old. Once the quality parameters of the instrument were elaborated, reliability and validity was confirmed through Confirmatory Factor Analysis using Structural Equation Modeling methodology. Data collection was then initiated. The results overall indicate that 87.6% of those who completed the questionnaire reported a higher level of self-efficacy with regards to working with any classmate, whilst at the same time seeing themselves as capable of achieving good marks. ANOVA results indicated significant differences with respect to educational level and length of stay. In this regard, students who had received professional training and had been at the Center for more than 9 months, were the ones who developed greater academic self-efficacy for spending more time working when tasks were judged to be difficult. The results obtained demonstrate that any intervention will be positive as long as it promotes different institutions to develop strategies that cater to a length of stay of more than 9 months and target education, academic self-efficacy, socialization and strengthening the future workforce. Such interventions can be directed through new European, Spanish or local level policies. It is clear that institutions still have a lot of work left to do.

While research ethics and developing respective competencies is gaining prominence in higher education institutions, there is limited knowledge about the learning process and scaffolding during such training. The global health crisis has made the need for facilitator-independent training materials with sufficient support even more pronounced. To understand how knowledge building takes place and how computer-supported collaborative learning supports research ethics learning, we analysed: 1) how the participants’ understanding was displayed during the collaborative learning process utilising the developed ethics resource; and 2) whether the scaffolding provided by the resource supported the learning process. Epistemic evidence was collected during design-based research involving 36 PhD students and researchers with supervisory experience divided into 11 groups. Data was analysed qualitatively utilising the SOLO taxonomy. The results revealed that: 1) participants displayed high levels of understanding and the need for the facilitator support decreased with the use of the online ethics resource; 2) the learners were able to evaluate their learning outcomes with satisfactory accuracy; 3) when used linearly, the online ethics resource helped learners to achieve high levels of understanding even when the scaffolding gradually faded. Based on the lessons learnt, design principles were extracted to develop research ethics competencies in higher education, and also recommendations for research ethics training were outlined.

Imagination has received a great deal of attention in different fields such as psychology, philosophy and the cognitive sciences, in which some works provide a detailed account of the mechanisms involved in the creation and elaboration of imaginary worlds. Although imagination has also been formalized using different logical systems, none of them captures those dynamic mechanisms. In this work, we take inspiration from the Common Frame for Imagination Acts, that identifies the different processes involved in the creation of imaginary worlds, and we use it to define a dynamic formal system called the Logic of Imagination Acts. We build our logic by using a possible-worlds semantics, together with a new set of static and dynamic modal operators. The role of the new dynamic operators is to call different algorithms that encode how the formal model is expanded in order to capture the different mechanisms involved in the creation and development of imaginary worlds. We provide the definitions of the language, the semantics and the algorithms, together with an example that shows how the model is expanded. By the end, we discuss some interesting features of our system, and we point out to possible lines of future work.

One of the main challenges in higher education is promoting students' autonomous and self-regulated learning, which involves managing their own emotions and learning processes in different contexts and circumstances. Considering that online learning during the COVID-19 pandemic may be an opportunity for university students to take greater responsibility for their learning, it is essential to explore the strategies they have developed in the face of emotional and learning challenges during the health crisis. This study aimed at analyzing the relationships between students' emotions, coping strategies, and self-regulated learning in online learning during COVID-19 home confinement. The participants were 1,290 Mexican students from different universities throughout the country, who answered an online self-report questionnaire from standardized instruments adapted to the pandemic. Data were analyzed with descriptive and inferential analyses, including a structural equation model. Findings indicate that, although anxiety, boredom, and frustration were present among participants during confinement, the primary emotions were gratitude, joy, and hope. Second, the main coping strategies used by students participating were focused on facing and reassessing the situation. Furthermore, tranquility, hope, gratitude, and joy were positively related to self-regulated learning, although, loneliness and disinterest were negatively related. Finally, it was found that an approach to coping strategies mediated the relationship between emotions and self-regulated learning. Thus, teachers should help students understand the relevance of active coping strategies and use student-centered learning models that promote autonomous and self-regulated learning, considering each learner's needs, during and after confinement.

This book offers a systematized overview of Ian Hacking's work. It presents Hacking’s oeuvre as a network made up of four interconnected key nodes: styles of scientific thinking & doing, probability, making up people, and experimentation and scientific realism. Its central claim is that Michel Foucault’s influence is the underlying thread that runs across the Canadian philosopher’s oeuvre. Foucault’s imprint on Hacking’s work is usually mentioned in relation to styles of scientific reasoning and the human sciences. This research shows that Foucault’s influence can in fact be extended beyond these fields, insofar the underlying interest to the whole corpus of Hacking’s works, namely the analysis of conditions of possibility, is stimulated by the work of the French philosopher. Displacing scientific realism as the central focus of Ian Hacking’s oeuvre opens up a very different landscape, showing, behind the apparent dispersion of his works, the far-reaching interest that amalgamates them: to reveal the historical and situated conditions of possibility for the emergence of scientific objects and concepts. This book shows how Hacking’s deployment concepts such as looping effect, making up people, and interactive kinds, can complement Foucauldian analyses, offering an overarching perspective that can provide a better explanation of the objects of the human sciences and their behaviors.

As development of research ethics competencies is in the focus in higher education institutions, it is crucial to understand how to support the learning process during such training. While there is plenty of research on how to scaffold children’s learning of cognitive skills, there is limited knowledge on how to enhance collaborative case-based learning of research ethics competencies in HE contexts. Our aim was to identify whether, how and when scaffolding is needed with various expertise levels to support development of ethics competencies. To identify and evaluate scaffolding during collaborative case-based ethics training we synthesised a scaffolding framework consisting of three levels: techniques, mechanisms and process. We organised 5 training sessions where 46 participants were involved. Data was collected as part of action research from group-work recordings and transcribed verbatim. Deductive qualitative analysis was implemented on transcripts based on the scaffolding framework. Our analysis revealed that structural scaffolding alone is not always efficient with bachelor level students, they also require oral scaffolding when the need becomes apparent. Master’s level students benefited most from wording the issues they needed to focus on. Doctoral students and senior academics needed scaffolding to maintain goal orientation. We end our article with some recommendations for facilitators of ethics education, and encourage using the scaffolding framework also in complex problem-solving beyond ethics training.

Imagination has received a great deal of attention in different fields such as psychology, philosophy and the cognitive sciences, in which some works provide a detailed account of the mechanisms involved in the creation and elaboration of imaginary worlds. Although imagination has also been formalized using different logical systems, none of them captures those dynamic mechanisms. In this work, we take inspiration from the Common Frame for Imagination Acts, that identifies the different processes involved in the creation of imaginary worlds, and we use it to define a dynamic formal system called the Logic of Imagination Acts. We build our logic by using a possible-worlds semantics, together with a new set of static and dynamic modal operators. The role of the new dynamic operators is to call different algorithms that encode how the formal model is expanded in order to capture the different mechanisms involved in the creation and development of imaginary worlds. We provide the definitions of the language, the semantics and the algorithms, together with an example that shows how the model is expanded. By the end, we discuss some interesting features of our system, and we point out to possible lines of future work.

The increasing concern about ethics and integrity in research communities has brought attention to how students and junior academics can be trained on this regard. Moreover, it is known that ethical behaviour and integrity not only involve individual but also group norms and considerations. Thus, through action research and participant observation, this research investigates the learning processes through which 64 students collaboratively develop research ethics and integrity competencies. The aim was to understand how bachelor, master and PhD students approach ethical dilemma cases through a collaborative process. The data consisted of recorded group work on ethics cases, student group reports, and post-training questionnaires. Later, the analyses considered groups as the unit of analysis. These data were analysed through content analysis utilizing the SOLO taxonomy to identify levels of understanding and assess evolvement of ethical sensitivity during a case-based training session. The results show that all groups reached the level of understanding where the groups demonstrated that concepts had been understood appropriately, but occasionally struggled to make connections between them. Students perceived working collaboratively as beneficial. The results help teachers of research ethics and integrity to make pedagogically justified choices in their teaching. Drawing on the results of this study, we propose a tool for the formative assessment of student learning of research ethics and integrity.

In this paper, we review three influential theories of imagination in order to understand how the dynamics of imagination acts could be modeled using formal languages. While reviewing them, we notice that they are not detailed enough to account for all the mechanisms involved in creating and developing imaginary worlds. We claim those theories could be further refined into what we call the Common Frame for Imagination Acts, which defines a framework that can be used to study the dynamics of imagination using formal languages, and we support our claim by showing how the framework allows to model certain imagination acts step by step. Then, we introduce the Rhombus of Imagination, which is a visual tool that can be used in conjunction with our framework to study the procedural structure of different kinds of imagination acts and identify their dynamic properties.

Attitudes toward physician-assisted death among medical students differ between populations. The aim of this study was to explore attitudes towards euthanasia and physician-assisted suicide among Spanish university students. A cross-sectional survey was conducted by asking undergraduate students of the University of Santiago de Compostela to complete an anonymous 17-item questionnaire. Most participants exhibited a positive attitude towards physician-assisted suicide and euthanasia, as well as towards their legalization. Attitudes were consistent with the underlying ethical reasoning, with no differences in terms of age, gender or academic degree. In addition, consistency was found between attitudes and willingness to participate in physician-assisted suicide and euthanasia, should they be legal. The results showed that the attitudes of medical students towards euthanasia and physician-assisted suicide were positive and similar to non-medical students.

Aberrations introduced by the atmospheric turbulence in large telescopes are compensated using adaptive optics systems, where the use of deformable mirrors and multiple sensors relies on complex control systems. Recently, the development of larger scales of telescopes as the E-ELT or TMT has created a computational challenge due to the increasing complexity of the new adaptive optics systems. The Complex Atmospheric Reconstructor based on Machine Learning is an algorithm based on artificial neural networks, designed to compensate the atmospheric turbulence. During recent years, the use of GPUs has been proved to be a great solution to speed up the learning process of neural networks, and different frameworks have been created to ease their development. The implementation of CARMEN in different Multi-GPU frameworks is presented in this paper, along with its development in a language originally developed for GPU, like CUDA. This implementation offers the best response for all the presented cases, although its advantage of using more than one GPU occurs only in large networks.

After compulsory secondary education; many teenagers face the process of choosing a university degree. This process involves uncertainties referred to their personal abilities, interests, social expectations and professional future. The present work is aimed at determining whether the reasons behind the selection of a particular university degree differ depending on the chosen degree. Another objective is determining whether these reasons differ significantly according to gender. The sample comprises 983 students belonging to the area of social and legal sciences at the University of Seville. The obtained results reveal the existence of four main reasons behind the selection of university degrees for which significant gender-related differences were observed: easy degree, job opportunities, high wages and provision of social services. Besides, these seven reasons are observed to differ widely in six of the considered degrees

Historians and philosophers of science generally conceptualize scientific progress to be dichotomous, viz., experimental observations lead to scientific laws, which later facilitate the elaboration of explanatory theories. There is considerable controversy in the literature with respect to Mendeleev’s contribution to the origin, nature, and development of the periodic table. The objectives of this study are to explore and reconstruct: a) periodicity in the periodic table as a function of atomic theory; b) role of predictions in scientific theories and its implications for the periodic table; and c) Mendeleev’s contribution: theory or an empirical law? The reconstruction shows that despite Mendeleev’s own ambivalence, periodicity of properties of chemical elements in the periodic table can be attributed to the atomic theory. It is argued that based on the Lakatosian framework, predictions play an important role in the development of scientific theories. In this context, Mendeleev’s predictions played a crucial role in the development of the periodic table. Finally, it is concluded that Mendeleev’s contribution can be considered as an “interpretative” theory which became “explanatory” after the periodic table was based on atomic numbers.Author Keywords: Periodic table; Mendeleev’s contribution; Theory; Empirical law; Interpretative theory

The purpose of this study was to investigate students’ perceptions of their learning experience through engagement in an active learning strategy termed "deliberative activity," designed to foster the development of moral reasoning. This strategy was implemented in an elective ethics course within a higher education setting. To evaluate the experience, we conducted a pilot case study using two qualitative analysis instruments: an individual survey and a focus group to capture students' perspectives. The qualitative analysis identified three key themes: (1) Pedagogical Design; (2) Application of Ethics to Real-Life Contexts; and (3) Openness to Dialogue. The findings suggest that the proposed strategy could serve as an effective pedagogical tool for incorporating applied ethics into the higher education curriculum, especially in interdisciplinary contexts. Additionally, the results indicate that further research should focus on specific disciplinary contexts and emphasize the need to improve feedback practices during the development of the deliberative activity. This improvement could be achieved by adopting an assessment-for-learning approach, allowing for ongoing feedback throughout the learning process.

This paper is situated within the framework of Corporate Social Responsibility (CSR) and addresses how women in organizational spaces with strongly values-driven practices can contribute to a more sustainable development in the implementation of a Circular Bioeconomy. Companies aligned with this model have a special responsibility to orient their practices towards comprehensive and fair sustainability if they want to align themselves with the policy frameworks of ecological transition. The article asks whether there is a harmonization of the environmental and social dimensions of practices in companies aligned with the circular bioeconomy and how the participation of women in management positions (in this case, white women, college-educated and non-disabled women) can promote transformative organizational change. Based on the theories of CSR practices, critical feminist perspectives, and social practices theory, a comparative ethnographic approach is used, applying a multi-method (participant observation, interviews, and documents) and multi-site analysis with four companies. The study extends the empirical evidence aimed at favoring the adoption of integrated sustainable practices in organizations. Future research could investigate broader intersectional dynamics to provide more detail on the heterogeneity of the experiences and practices of women or feminist actors and their influence on organizations.