scholarly journals Three Editions of Inter-University Studies on Space and Satellite Technology. Candidate and/vs Graduate a Case Study

Author(s):  
Z. Lubniewski ◽  
P. Falkowski-Gilski ◽  
M. Chodnicki ◽  
A. Stepnowski
2021 ◽  
Vol 13 (15) ◽  
pp. 8642
Author(s):  
Lucas Kohnke ◽  
Andrew Jarvis

COVID-19 and the shift to online teaching necessitated a change in approach for English for Academic Purposes (EAP) teachers in preparing their students for university studies. This study explored how EAP instructors coped with and adapted their provision for emergency remote teaching. The study was conducted at an English-medium university in Hong Kong and a qualitative case study approach was adopted. The results revealed two overarching themes of opportunity and challenge. While the sudden shift to online teaching forced innovation and fostered collaborative learning and feedback, teachers experienced difficulties in communicating with students and monitoring their learning. The study voices teacher perspectives in delivering EAP courses online and highlights important implications for the successful delivery of future online EAP provisions.


Author(s):  
Laura Álvarez-de Prado ◽  
Ana-María Diez-Suárez ◽  
Alberto González-Martínez ◽  
Jorge Blanes-Peiró ◽  
Miguel de Simón-Martín

2014 ◽  
Vol 15 (5) ◽  
pp. 1810-1831 ◽  
Author(s):  
Helen Greatrex ◽  
David Grimes ◽  
Tim Wheeler

Abstract As satellite technology develops, satellite rainfall estimates are likely to become ever more important in the world of food security. It is therefore vital to be able to identify the uncertainty of such estimates and for end users to be able to use this information in a meaningful way. This paper presents new developments in the methodology of simulating satellite rainfall ensembles from thermal infrared satellite data. Although the basic sequential simulation methodology has been developed in previous studies, it was not suitable for use in regions with more complex terrain and limited calibration data. Developments in this work include the creation of a multithreshold, multizone calibration procedure, plus investigations into the causes of an overestimation of low rainfall amounts and the best way to take into account clustered calibration data. A case study of the Ethiopian highlands has been used as an illustration.


Author(s):  
Jose Aguilar ◽  
Guido Riofrío ◽  
Eduardo Encalada

Abstract: Normally, Learning Analytics (LA) can be focused on the analysis of the learning process or the student behavior. In this paper is analyzed the use of LA in the context of distance learning universities, particularly focuses on the students’ behavior. We propose to use a new concept, called "Autonomic Cycle of Learning Analysis Tasks", which defines a set of tasks of LA, whose common objective is to achieve an improvement in the process under study. In this paper, we develop the "Autonomic Cycle of LA Tasks" to analyze the dropout in distance learning institutions. We use a business intelligence methodology in order to develop the "Autonomic Cycle of LA Tasks" for the analysis of the dropout in distance learning. The Autonomic Cycle identifies factors that influence the decision of a student to abandon their studies, predicts the potentially susceptible students to abandon their university studies, and define a motivational pattern for these students.  Spanish Abstract: Normalmente, La Análitica del Aprendizaje puede enfocarse en el análisis del proceso de aprendizaje, o en el análisis del comportamiento del estudiante. En este artículo se analiza el uso de LA en el contexto de las universidades a distancia, centrándonos particularmente en el comportamiento de los estudiantes. Para ello, proponemos utilizar un nuevo concepto, llamado "Ciclo Autonómico de Tareas de Análitica del Aprendizaje", que define un conjunto de tareas de LA, cuyo objetivo común es lograr una mejora en el proceso bajo estudio. En este artículo se desarrolla el "Ciclo Autonómico de Tareas LA" para analizar la deserción estudiantil en las instituciones de educación a distancia. Para ello, utilizamos una metodología de inteligencia de negocios con el fin de desarrollar dicho ciclo para el análisis de la deserción en el aprendizaje a distancia. El Ciclo Autonómico identifica factores que influyen en la decisión del estudiante de abandonar sus estudios universitarios, predice los estudiantes potencialmente susceptibles a desertar, y define un patrón de motivación para estos estudiantes.


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