Search results for "learning."
showing 10 items of 6527 documents
The Unexpected profile of agricultural innovators: evidence from an empirical study
2020
[EN] Innovation capacity is essential for farmers to remain competitive and overcome the challenges facing Mediterranean agricultural systems. Based on an extensive empirical study, this paper elucidates the common attributes of innovative farmers in the Region of Valencia (Spain). The model presented in this study investigates whether an innovative attitude can be explained by market-entrepreneurial orientation, learning orientation, individual profile traits and farm size. The findings provide insights into how age and experience affect innovation in agricultural smallholdings. The study shows that the most innovative farmers run large farms and have a strong market-entrepreneurial orient…
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
2019
Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…
Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space
2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different individuals remain poorly understood. To quantitatively describe epitope immunogenicity, here we propose a supervised machine learning framework generating probabilistic estimates of immunogenicity, termed "immunogenicity scores," based on the numerical features computed through sequence-based simulation approximating the molecular scanning process of peptides presented onto major histocompatibility complex (MHC) by the human T cell receptor (T…
Evaluating Safety Systems for Machine Tools with Computer Numerical Control using Analytic Hierarchy Process
2019
Computer numerical control (CNC) machine tools are complex production systems with fully automatic machine parts. Nowadays, high feed rates and machining speeds are used during the machining process. Human operators are still needed to set-up the machine, load/unload workpieces and parts, load the machining code, and supervise the machining process. The operators work in an environment where automated high-speed motions occur, and consequently, CNC machine tools have to be equipped with safety systems. The approach presented in this paper was to evaluate the main safety systems of CNC machine tools based upon the analytic hierarchy process (AHP). The analyzed systems were divided into six m…
Primetime learning: collaborative and technology-enhanced studying with genuine teacher presence.
2017
Background Productive learning processes and good learning outcomes can be attained by applying the basic elements of active learning. The basic elements include fostering discussions and disputations, facing alternative conceptions, and focusing on conceptual understanding. However, in the face of poor course retention and high dropout rates, even learning outcomes can become of secondary importance. To address these challenges, we developed a research-based instructional strategy, the primetime learning model. We devised the model by organizing the basic elements of active learning into a theory-based four-step study process. The model is based on collaborative and technology-enhanced lea…
A Conceptual Framework for Using and Evaluating Web-Based Learning Resources in School Education
2010
Published version of an article from the journal:Journal of Information Technology Education. Also available from the publisher: http://www.jite.org/documents/Vol9/JITEv9p053-079Hadjerrouit743.pdf Web-based learning resources (WBLRs) have provided teachers with a wide range of new teachingexperiences that are not possible in traditional classroom. However, little research has beendone as to which approach to WBLRs is suitable to address issues that are pertinent to learning.This paper proposes a conceptual framework to explore the design and evaluation of WBLRs inschool education. The paper also examines the way in which the framework is used to evaluatestudents? and teachers? perceptions o…
Bibliometric Research in Technology-Mediated Learning with High Capacity Students
2020
RESUMEN: Este trabajo implica una revisión del trabajo de investigación sobre el aprendizaje mediado por tecnología en estudiantes de alta capacidad. El estudio fue realizado por medio de un análisis bibliométrico de la producción científica en la renombrada base de datos Scopus. Fueron evaluados, sin filtro temporal, 35 artículos publicados entre 1993 y 2018, de los cuales se analizó una selección de indicadores de productividad científica, colaboración, consumo e impacto, así como variables estructurales y de contenido. Aunque el número de artículos no sea muy alto, los resultados mostraron un aumento en las publicaciones científicas recientes centradas en procesos de aprendizaje mediados…
Emotional and meta-emotional intelligence as predictors of adjustment problems in students with Specific Learning Disorders
2017
The purpose of this study was to analyse adjustment problems in a group of adolescents with a Specific Learning Disorder (SLD), examining to what extent they depend on the severity level of the learning disorder and/or on the individual‟s level of emotional intelligence. Adjustment problems,, perceived severity levels of SLD, and emotional and meta-emotional intelligence were examined in 34 adolescents with SLD. Results demonstrated that emotional beliefs, emotional self-concept and emotional intelligence are very important factors in the psychological adjustment of adolescents with SLD. These results provide evidence for the importance of considering meta-emotional intelligence in both dia…
Using Digital Resources for Content and Language Integrated Learning: A Proposal for the ICT-Enrichment of a Course on Biology and Geology
2019
Hoy en día se utiliza una gran variedad de herramientas digitales para apoyar la enseñanza y el aprendizaje de lenguas. Sus potenciales efectos positivos en el proceso de aprendizaje pueden ser particularmente útiles para abordar los retos que surgen en enfoques como el Aprendizaje Integrado de Contenidos y Lenguas Extranjeras (AICLE), donde se espera que los estudiantes consigan dominar no solo el contenido de la asignatura, sino también la lengua extranjera que se utiliza como medio de comunicación. Este artículo tiene como objetivo ofrecer una propuesta de enriquecimiento digital de cursos AICLE, la cual ha sido implementada en una asignatura de Biología y Geología en inglés impartida en…
Mobbing – et forsøk på nye teoretiske perspektiv
2014
Published version of an article in the journal: Studier i Pædagogisk Filosofi. Also available from the publisher at: http://ojs.statsbiblioteket.dk/index.php/spf/article/view/13325 Open Access This article discusses the understanding of bullying and how it first appears as a phenomenon in early childhood. Empirical research on the social life of young children indicates a capacity for empathy that is independent of social learning. Based upon Merleau-Ponty`s philosophy of the body and Levinas’s existentialist notion of the origin of morality, the article emphasize empathy and the sense of responsibility as a fundamental event in our initial encounter with one another – not learned competence…