English Discussion Group Curriculum

The internship took place in the Monterey County Free Library in the Adult Literacy Program. Monterey County has the lowest literacy rate among adults. Monterey County residents are foreign-born who are residents with no or some English skills. The county has language barriers between the residents and businesses. The contributing factors of low literacy rates are foreign-born having no English skills, access to education to adults and parents, and learning disabilities. If the issue continues in the cycle, Individuals are who are illiterate will face low income or unemployment, which leads to the transmission of illiteracy, and low self-esteem and shame. The capstone project is an English group conversation curriculum. The curriculum is designed to help residents to build English skills to break the cycle of low literacy rates in Monterey County. The curriculum is based on a previous conversation group from Castroville. The curriculum has twelve topics with lesson plans and conversation questions for the participants. The results are unknown at this moment due to the coronavirus pandemic

Update Delay: A new Information-Centric Metric for a Combined Communication and Application Level Reliability Evaluation of CAM based Safety Applications

Standard network metrics, such as throughput, latency and reception probability, are the most popular performance indicators used in the literature to describe and compare communication protocol variations. However, these “traditional” network-centric PI are not adapted to the distributed, information-centric nature of the beaconing communication pattern, nor do they cover application level reliability or freshness of information. In this paper, we introduce a more suitable metric called Update Delay, represented as a Complementary Cumulative Distribution Function (CCDF). We will show how this single Update Delay performance indicator can be an optimal representation of the freshness and reliability of the information about a certain transmitter, i.e. awareness about vehicles and their current state in the vicinity. This paper extends on the methodological aspects of the approach, as well as introduces several concrete examples

Hallado un ejemplar colombino entre los fondos complutenses

A partir de las anotaciones manuscritas del siglo XVI halladas en un incunable, se ha podido precisar su pertenencia a la biblioteca de Hernando Colón. Se trata de un libro de sermones de Simón de Cremona impreso en 1484 en Reutlingen con signatura topográfica INC FL-106. En el libro figuran los números de registro con que estaba incluído en dos de los repertorios de la biblioteca, el Regestrum B y el Abecedarium. Aparecen también datos relativos a su compra, efectuada en Ausburgo en 1531, fecha que coincide con la presencia en dicha ciudad de Fernando Colón

COMB: Cell based Orientation aware MANET Broadcast MAC layer

The design of a collision avoidance system for trains implies the design of a MAC layer for their specific requirements. It should be efficient, reliable, use broadcast and support wireless mobile ad hoc networks (MANETs) with high user speeds. Therefore we are using awareness techniques, which allow a certain channel assignment, despite the absence of infrastructure. This paper presents a new MAC layer protocol designed for broadcast MANETs called COMB (Cell-based Orientation-aware MANET Broadcast). In principle, COMB allows the realization of a collision free transmission, high speed is supported and no handshake is required. COMB is based on localization aware cross layer dimensioned CDMA cells, and uses the SOTDMA protocol as intra cell scheme, while the inter cell scheme relies on direction and speed awareness

Influence of personality and modality on peer assessment evaluation perceptions using Machine Learning techniques

The successful instructional design of self and peer assessment in higher education poses several challenges that instructors need to be aware of. One of these is the influence of students’ personalities on their intention to adopt peer assessment. This paper presents a quasi-experiment in which 85 participants, enrolled in the first-year of a Computer Engineering programme, were assessed regarding their personality and their acceptance of three modalities of peer assessment (individual, pairs, in threes). Following a within-subjects design, the students applied the three modalities, in a different order, with three different activities. An analysis of the resulting 1195 observations using ML techniques shows how the Random Forest algorithm yields significantly better predictions for three out of the four adoption variables included in the study. Additionally, the application of a set of eXplainable Artificial Intelligence (XAI) techniques shows that Agreeableness is the best predictor of Usefulness and Ease of Use, while Extraversion is the best predictor of Compatibility, and Neuroticism has the greatest impact on global Intention to Use. The discussion highlights how, as it happens with other innovations in educational processes, low levels of Consciousness is the most consistent predictor of resistance to the introduction of peer assessment processes in the classroom. Also, it stresses the value of peer assessment to augment the positive feelings of students scoring high on Neuroticism, which could lead to better performance. Finally, the low impact of the peer assessment modality on student perceptions compared to personality variables is debated.This work has been partially funded by the University of Alicante’s Redes-I3CE de investigación en docencia universitaria del Instituto de Ciencias de la Educación (REDES-I3CE-2020-5069), by the EU Erasmus+ Programme (EduTech (609785-EPP-1-2019-1-ES-EPPKA2-CBHE-JP) and SkoPS (2020-1-DE01-KA226HE-005772) projects), by the Spanish Ministry of Science and Innovation (Access@IoT (PID2019-111196RB-I00) project), by the GVA (AICO/2020/143) project, and by the UCLM group cofinanced with ERDF funds (research grant 2021-GRIN-30993)

Study regarding the influence of a student’s personality and an LMS usage profile on learning performance using machine learning techniques

Academic performance (AP) is crucial for lifelong success. Unfortunately, many students fail to meet expected academic benchmarks, leading to altered career paths or university dropouts. This issue is particularly pronounced in the early stages of higher education, highlighting the need for the instructors of these foundational courses to have access to simple yet effective tools for the early identification of students at high risk of academic failure. In this study, we propose a streamlined conceptual model inspired by the Model of Human Behavior (MHB) to which we have incorporated two dimensions: capacity and willingness. These dimensions are assessed through the definition of three variables: Prior Academic Performance (PAP), Personality and Academic Engagement, whose measurements can easily be obtained by the instructors. Furthermore, we outline a Machine Learning (ML) process that higher education instructors can use to create their own tailored models in order to predict AP and identify risk groups with high levels of transparency and interpretability. The application of our approach to a sample of 322 Spanish undergraduates studying two mathematical subjects at a Spanish university demonstrates its potential to detect failure early in the semester with a precision that is comparable with that of more complex models found in literature. Our tailored model identified that capacity was the primary predictor of AP, with a gain-to-baseline improvement of 21%, and the willingness variables increasing this to 27%. This approach is consistent over time. Implications for instructors are discussed and an open prediction and analysis tool is developed.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partially funded by the Instituto de Ciencias de la Educación (ICE) of the University of Alicante through their ‘Programa de redes de investigación en docencia universitaria’ in the 2023/2024 edition (Red 5942), and the UCLM group, cofinanced with ERDF funds (research grant 2022-GRIN-34113)

El diario corporal docente. El uso de la narrativa como herramienta de autoconocimiento y análisis corporal

Centraré este TFG en las vivencias que el docente puede experimentar exponiendo su propio cuerpo en los diferentes tiempos que se dan en la jornada escolar. Para poder trabajar en este ámbito, daré a conocer la principal herramienta que ha apoyado mis elaboraciones, ayudándome a conocerme y reflexionando sobre mí misma: el Diario Corporal Docente. La reflexión y análisis de los datos recogidos permiten al docente obtener un conocimiento de sí mismo y de su práctica educativa con el fin de mejorarla. Los resultados y conclusiones son una mirada subjetiva y personal sobre diversos sucesos y aspectos que afectan de manera directa o indirecta al cuerpo del docente. Los tres ámbitos principales que he abordado en la reflexión han sido las presencias corporales demandadas por el docente en las distintas situaciones, las necesidades que requiere la docencia y los valores que me dan mi identidad docenteGrado en Educación Primari

Methodology development for the cost-benefit analysis of pneumatic and electromechanical drive structures

Metodología de análisis del TCO (coste total de propiedad) para la comparación de estructuras neumáticas y electromecánicos basados en las propiedades mecánicas y los costes de adquisición y operación de cada tecnologíaDepartamento de Ingeniería Energética y FluidomecánicaMáster en Ingeniería Industria

La línea informal de Madrid, Cañada Real Galiana. Desarrollo de núcleos urbanos en el Sector 6

[ES] Durante los siglos XIX y XX la trashumancia tradicional fue perdiendo cada vez más peso en España y las Cañadas cayeron parcialmente en desuso. La Cañada Real Galiana comienza a sufrir problemas adicionales debido a su situación geográfica, próxima a áreas urbanas, lo que impulsa la ocupación de estos terrenos a partir de los años 50 y 60 transformando este espacio en una ciudad lineal no planificada. En la actualidad, la Cañada Real Galiana se caracteriza por ser un lugar donde confluyen poblaciones de gran diversidad cultural, construcciones de diferentes tamaños, características, antigüedad, usos; así como distintos problemas sociales, económicos y legales que hacen del Territorio un espacio complejo de interpretar. Con este contexto se analiza la parte habitada de la Cañada Real Galiana que atraviesa la periferia metropolitana de Madrid. El objetivo es estudiar este tramo de 14.6 kilómetros, dividido en Sectores actualmente aislados y de gran precariedad. El proyecto busca desarrollar una estrategia de intervención urbana que logre la integración de estos Sectores entre sí y con las urbanizaciones cercanas, a través de la densificación y la creación de nuevos centros urbanos dotados de espacio público, residencial y mixto para el desarrollo de la actividad económica local.Teixeira Rico, C. (2020). La línea informal de Madrid, Cañada Real Galiana. Desarrollo de núcleos urbanos en el Sector 6. http://hdl.handle.net/10251/155458TFG