An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

Since the Bologna Process was adopted, continuous assessment has been a cornerstone in the curriculum of most of the courses in the different degrees offered by the Spanish Universities. Continuous assessment plays an important role in both students’ and lecturers’ academic lives. In this study, we...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs:	Morales Giraldo, María Encarnación, Salmerón Cerdán, Antonio, Maldonado González, Ana Devaki, Masegosa Arredondo, Andrés Ramón, Rumí Rodríguez, Rafael
Formaat:	info:eu-repo/semantics/article
Taal:	English
Gepubliceerd in:	MDPI 2022
Onderwerpen:	continuous assessment Bayesian networks artificial neural networks classification
Online toegang:	http://hdl.handle.net/10835/14068

Gelijkaardige items

Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2022)

Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks
door: Flores Gallego, María Julia, et al.
Gepubliceerd in: (2024)

Comments on: Hybrid semiparametric Bayesian networks
door: Salmerón Cerdán, Antonio
Gepubliceerd in: (2023)

Learning hybrid Bayesian networks using mixtures of truncated exponentials
door: Romero, Vanessa, et al.
Gepubliceerd in: (2017)

Approximate Probability Propagation with Mixtures of Truncated Exponentials*
door: Rumí, Rafael, et al.
Gepubliceerd in: (2017)

Regression using hybrid Bayesian networks: modelling landscape - socioeconomy relationships
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Bayesian Networks for Preprocessing Water Management Data
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2022)

Probabilistic Models with Deep Neural Networks
door: Masegosa Arredondo, Andrés Ramón, et al.
Gepubliceerd in: (2021)

Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
door: Ramos-López, Darío, et al.
Gepubliceerd in: (2021)

Modelling Dependency Structures Produced by the Introduction of a Flipped Classroom
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2020)

Analyzing Uncertainty in Complex Socio-Ecological Networks
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2020)

BayesChess: A computer chess program based on Bayesian networks
door: Fernández, Antonio, et al.
Gepubliceerd in: (2017)

Data-Driven pH Model in Raceway Reactors for Freshwater and Wastewater Cultures
door: Otálora Berenguel, Pablo, et al.
Gepubliceerd in: (2023)

MAP inference in dynamic hybrid Bayesian networks
door: Ramos López, Darío, et al.
Gepubliceerd in: (2017)

Answering queries in hybrid Bayesian networks using importance sampling
door: Fernández, Antonio, et al.
Gepubliceerd in: (2017)

A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses
door: Cama-Pinto, Dora, et al.
Gepubliceerd in: (2023)

Learning Mixtures of Truncated Basis Functions from Data
door: Langseth, Helge, et al.
Gepubliceerd in: (2017)

Performance analysis and neural modelling of a greenhouse integrated photovoltaic system
door: Pérez Alonso, José, et al.
Gepubliceerd in: (2023)

Dynamic Importance Sampling in Bayesian Networks Based on Probability Trees
door: Moral, Serafín, et al.
Gepubliceerd in: (2017)

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks
door: Ropero, Rosa F., et al.
Gepubliceerd in: (2021)

Mixtures of Truncated Basis Functions
door: Langseth, Helge, et al.
Gepubliceerd in: (2017)

Groundwater quality assessment using data clustering based on hybrid Bayesian networks
door: Aguilera Aguilera, Pedro, et al.
Gepubliceerd in: (2024)

The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management
door: Hernández Hernández, César, et al.
Gepubliceerd in: (2020)

Caracterización, modelización y predicción a corto plazo de la producción de la potencia de una planta fotovoltaica, utilizando cámara de cielo y Técnica de Inteligencia Artificial
door: Trigo Gonzalez, Mauricio
Gepubliceerd in: (2022)

Local Development and Gentrification Resulting from the Rehabilitation of Singular Buildings: Analysis of Neural Networks
door: Uribe Toril, Juan, et al.
Gepubliceerd in: (2021)

Electronics and Its Worldwide Research
door: García Salvador, Rosa María, et al.
Gepubliceerd in: (2020)

Discretizing environmental data for learning Bayesian-networkclassifiers
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Continuous assessment and support for learning: an experience in educational innovation with ICT support in higher education.
door: Coll Salvador, César, et al.
Gepubliceerd in: (2012)

Modelling uncertainty in social-natural interactions
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Prospective Environmental and Economic Assessment of a Sensor Network
door: Portillo Rodríguez, Francisco, et al.
Gepubliceerd in: (2021)

A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2020)

Implementation of a model for detection and classification of brain tumours in magnetic resonance imaging using convolutional neural networks
door: Serra-Parri, A. (Alvaro), et al.
Gepubliceerd in: (2023)

Continuous assessment in a large group of psychology undegraduates
door: Clariana I Muntada, Mercè, et al.
Gepubliceerd in: (2012)

Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN
door: Safonova, Anastasiia, et al.
Gepubliceerd in: (2021)

Modelling relationships between socioeconomy, landscape and water flows in Mediterranean agroecosystems: a case study in Adra catchment (Spain) using Bayesian networks
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building
door: Khosravani, Hamid R., et al.
Gepubliceerd in: (2020)

Learning and Inference methodologies for Hybrid Dynamic Bayesian networks. A case study for a water reservoir system in Andalusia, Spain.
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model
door: Cedillo Orellana, Irene Priscila
Gepubliceerd in: (2024)

Predicting severe haematological toxicity in gastrointestinal cancer patients undergoing 5-FU-based chemotherapy: A bayesian network approach
door: Ruiz-Sarrias, O. (Oskitz), et al.
Gepubliceerd in: (2024)

Tree Cover Estimation in Global Drylands from Space Using Deep Learning
door: Guirado Hernández, Emilio, et al.
Gepubliceerd in: (2020)