Technologies for Learning Writing in L1 and L2 for the 21st Century: effects on writing metacognition, self-efficacy and argumentative structuring

Quality in higher education assumes the challenge of developing in all citizens of the 21st century the cognitive, motivational, and socio-cultural dimensions that provide them with communication competences including the use of infor-mation and communication technologies, for the dissemination of sustainable scientific knowledge in different languages. Hence this paper evaluates a di-dactic-technological process called “Ensayo Científico Multilingüe” or ECM (“Multilingual Scientific Essay”), which guides the construction of argumenta-tive texts in a shared didactic space in the native language (L1) and in the first foreign language (L2). It can be stated that the ECM creates a shared didactic-technological space in different languages, producing similar effects in L1 and L2, both on writing metacognition and on self-efficacy and argumentative structuring. The ECM en-hances the association of writing metacognition with argumentative self-efficacy in L1 and L2. However, these dimensions are not associated with the structur-ing of argumentative essays, either in L1 or in L2. Furthermore, it is verified that the described variables are associated with the didactic-technological proce-dures integrated in the ECM in the following ways: (i) the procedure to pro-mote writing metacognition (through the Lesson tool) is associated with argu-mentative structuring in L2; (ii) the extent of writing activities is associated, only, with argumentative self-efficacy in L1; and (iii) participation in the Forums presents a very low association with all the variables measured

The 2030 Challenge in the Quality of Higher Education: Metacognitive, Motivational and Structural Factors, Predictive of Written Argumentation, for the Dissemination of Sustainable Knowledge

The United Nations 2030 agenda includes quality university education, highlighting the importance of writing competence, as a basic skill for the dissemination of sustainable knowledge. However, there is little evidence of the factors that predict effective written communication to support such quality. Among these factors, the literature highlights motivation and writing metacognition, as well as the adequate structuring of the academic and/or scientific genre. The main novelty of the present research is the study of the relationships between the mentioned factors, measured with validated instruments. To this end, content analysis is first applied to determine the rhetorical moves of argumentative essays written by a sample of 72 university students. Secondly, the correlations between each of the rhetorical moves, metacognition and argumentative writing self-efficacy are calculated. The relationships are studied in depth, applying step-by-step linear regression models. Finally, the dependence of the results, observed with respect to unmeasured factors, is contrasted by means of a confirmatory analysis based on structural equations. The analyses show that it is the practical ability to express rhetorical moves—Conclusion and Bibliographic References—which predicts a students’ writing metacognition. Moreover, the minor relationship that argumentative self-efficacy shows with the expression of rhetorical moves, compared to writing metacognition, point to the need to consider another motivational dimension that is driving the learning of the argumentative essay at university level, a hypothesis that is confirmed with the structural equations model. These, and other findings, allow for the establishment of a series of educational quality criteria for the empowerment of written argumentation in academic and scientific contexts.Autonomous Community of Andalusia (Research Group ED.INVEST) HUM356University of Granada (Quality Innovation and Prospective Unit) 373Ministry of Economy, Industry and Competitiveness DER2017-89623-

Learning analytics for enhanced professional capital development: a systematic review

Background/MotivationThis article presents a systematic review aimed at examining the utilization of learning analytics (LA) to enhance teachers’ professional capital.AimThe study focuses on three primary research questions: (1) exploring the characteristics and approaches of LA in professional capital, (2) investigating suggestions from LA for assessing and improving professional capital, and (3) examining variables studied in enhancing the most intricate dimension of professional capital using LA.MethodologyTo address the research objectives, a systematic review was conducted focusing on the key concepts “learning analytics” and “professional capital.” Following the procedures outlined encompassed in four stages: identification, screening, inclusion, and adequacy. The PRISMA 2009 protocol guided the systematic review process.Principal findingsThe findings of the study underscore the efficacy of LA as a catalyst for improving professional capital, particularly through collaborative learning and the utilization of tools like forums and online learning platforms. Social capital emerges as a pivotal component in integrating diverse types of professional capital, fostering opportunities for knowledge creation and social networking.Conclusion/SignificanceIn conclusion, the study highlights the paramount significance of addressing teachers’ professional capital development through collaborative approaches and leveraging technology, particularly in primary education. The article concludes by emphasizing the imperative for more research and knowledge dissemination in this field, aiming to ensure equity in learning and address the challenges posed by the COVID−19 pandemic

Method to identify and predict suicide risk profiles of adolescents using techniques of conglomerate analysis and artificial neural network

En este trabajo de investigación, se presenta un método para identificar y pronosticar perfiles de riesgo suicida en adolescentes a partir del caso de estudio de estudiantes de secundaria de escuela pública del departamento del Atlántico. Como fundamento teórico se utilizó la literatura asociada a la evaluación del riesgo suicida, el análisis de conglomerados y las redes neuronales artificiales. Para lo anterior, se tomó información relacionada con los factores de riesgo suicida desesperanza, ideación, aislamiento y apoyo familiar de una muestra de 119 estudiantes adolescentes de los grados noveno al undécimo del departamento del Atlántico. Como resultado se desarrolló un método para identificar, valorar y pronosticar perfiles de riesgo suicida en adolescentes. Se concluye que el análisis de conglomerados mostró condiciones favorables para clasificar 4 perfiles característicos de riesgo suicida y las redes neuronales artificiales capacidad de pronosticar con una probabilidad del 95,5% de clasificación correcta.This article presents the profiles of suicide risk in 119 adolescent high school students of public schools of the department of Atlántico. As a theoretical basis, the literature associated with the evaluation of suicide risk, the analysis of conglomerates and the artificial neural networks were used. For the above, information was taken related to suicidal risk factors, hopelessness, ideation, isolation and family support. As a result, a method was developed to identify, assess and predict suicide risk profiles in adolescents. It is concluded that the cluster analysis showed favorable conditions to classify 4 characteristic profiles of suicide risk and artificial neural networks with a capacity to predict with a 95.5% probability of correct classification

Método para identificar y pronosticar riesgo suicida perfiles de en adolescentes mediante técnicas de análisis de conglomerado y red neuronal artificial

En este trabajo de investigación, se presenta un método paraidentificar y pronosticar perfiles de riesgo suicida en adolescentesa partir del caso de estudio de estudiantes de secundariade escuela pública del departamento del Atlántico.Como fundamento teórico se utilizó la literatura asociada ala evaluación del riesgo suicida, el análisis de conglomeradosy las redes neuronales artificiales. Para lo anterior, setomó información relacionada con los factores de riesgo suicidadesesperanza, ideación, aislamiento y apoyo familiar deuna muestra de 119 estudiantes adolescentes de los gradosnoveno al undécimo del departamento del Atlántico. Comoresultado se desarrolló un método para identificar, valorar ypronosticar perfiles de riesgo suicida en adolescentes. Seconcluye que el análisis de conglomerados mostró condicionesfavorables para clasificar 4 perfiles característicos deriesgo suicida y las redes neuronales artificiales capacidadde pronosticar con una probabilidad del 95,5% de clasificacióncorrecta

Dating violence among Colombian youth: Analysis of prevalence by gender and contributions to bidirectional interventions

Mundialmente la violencia en las relaciones de noviazgo entre jóvenes se considera una problemática de salud pública debido a su alta prevalencia. El objetivo de esta investigación fue detectar la prevalencia de violencia en las relaciones de noviazgo en relación con el género en (n=1044) jóvenes universitarios con edades entre 18 y 27 años (M=19.73 años y DT=1.9 años). Los resultados muestran que el 96.9% de los participantes han cometido al menos un comportamiento violento o de maltrato en sus relaciones de pareja durante los últimos doce meses y el 93.2% refieren haber recibido comportamientos violentos por parte de sus parejas. El 94.8% expresó haber cometido violencia verbal-emocional hacia su pareja con diferencias estadísticas significativas para el género femenino. El 51.1% manifestó victimización física frente al 62.2% que expreso haberlo ejecutado. Se concluye que existe alta prevalencia de la violencia o maltrato dentro de las relaciones de noviazgo motivando su intervención bidireccional.Worldwide, dating violence among young people is consid- ered a public health problem due to its high prevalence. The aims of this study were to detect the prevalence of dating vio- lence in relation to gender in a sample (n=1044) of university students with ages between 18 and 27 years (M=19.73 years and DT=1.9 years). The results show that 96.9% of the par- ticipants have committed at least a violent behavior in their relationships during the last twelve months and 93.2% have received a violent behavior from their partners, 94.8% ex- pressed having committed verbal-emotional violence towards their partner with statistical differences specifc to the female gender. 51.1% manifested physical victimization compared to 62.2% who expressed having carried it out. A high prevalence of committed and suffered dating violence was found. These data can be used to support the development of bidirectional interventions

QUIJOTE scientific results -- XIII. Intensity and polarization study of supernova remnants in the QUIJOTE-MFI wide survey: CTB 80, Cygnus Loop, HB 21, CTA 1, Tycho and HB 9

We use the new QUIJOTE-MFI wide survey (11, 13, 17 and 19 GHz) to produce spectral energy distributions (SEDs), on an angular scale of 1 deg, of the supernova remnants (SNRs) CTB 80, Cygnus Loop, HB 21, CTA 1, Tycho and HB 9. We provide new measurements of the polarized synchrotron radiation in the microwave range. For each SNR, the intensity and polarization SEDs are obtained and modelled by combining QUIJOTE-MFI maps with ancillary data. In intensity, we confirm the curved power law spectra of CTB 80 and HB 21 with a break frequency $\nu_{\rm b}$ at 2.0$^{+1.2}_{-0.5}$ GHz and 5.0$^{+1.2}_{-1.0}$ GHz respectively; and spectral indices respectively below and above the spectral break of $-0.34\pm0.04$ and $-0.86\pm0.5$ for CTB 80, and $-0.24\pm0.07$ and $-0.60\pm0.05$ for HB 21. In addition, we provide upper limits on the Anomalous Microwave Emission (AME), suggesting that the AME contribution is negligible towards these remnants. From a simultaneous intensity and polarization fit, we recover synchrotron spectral indices as flat as $-0.24$, and the whole sample has a mean and scatter of $-0.44\pm0.12$. The polarization fractions have a mean and scatter of $6.1\pm1.9$\%. When combining our results with the measurements from other QUIJOTE studies of SNRs, we find that radio spectral indices are flatter for mature SNRs, and particularly flatter for CTB 80 ($-0.24^{+0.07}_{-0.06}$) and HB 21 ($-0.34^{+0.04}_{-0.03}$). In addition, the evolution of the spectral indices against the SNRs age is modelled with a power-law function, providing an exponent $-0.07\pm0.03$ and amplitude $-0.49\pm0.02$ (normalised at 10 kyr), which are conservative with respect to previous studies of our Galaxy and the Large Magellanic Cloud.Comment: 33 pages, 15 figure, 15 tables. Submitted to MNRAS. QUIJOTE data maps available at https://research.iac.es/proyecto/quijot

Search for heavy particles decaying into a top-quark pair in the fully hadronic final state in pp collisions at s =13 TeV with the ATLAS detector

A search for new particles decaying into a pair of top quarks is performed using proton-proton collision data recorded with the ATLAS detector at the Large Hadron Collider at a center-of-mass energy of s=13 TeV corresponding to an integrated luminosity of 36.1 fb-1. Events consistent with top-quark pair production and the fully hadronic decay mode of the top quarks are selected by requiring multiple high transverse momentum jets including those containing b-hadrons. Two analysis techniques, exploiting dedicated top-quark pair reconstruction in different kinematic regimes, are used to optimize the search sensitivity to new hypothetical particles over a wide mass range. The invariant mass distribution of the two reconstructed top-quark candidates is examined for resonant production of new particles with various spins and decay widths. No significant deviation from the Standard Model prediction is observed and limits are set on the production cross-section times branching fraction for new hypothetical Z′ bosons, dark-matter mediators, Kaluza-Klein gravitons and Kaluza-Klein gluons. By comparing with the predicted production cross sections, the Z′ boson in the topcolor-assisted-technicolor model is excluded for masses up to 3.1-3.6 TeV, the dark-matter mediators in a simplified framework are excluded in the mass ranges from 0.8 to 0.9 TeV and from 2.0 to 2.2 TeV, and the Kaluza-Klein gluon is excluded for masses up to 3.4 TeV, depending on the decay widths of the particles.Peer Reviewe