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...

Bibliografiset tiedot
Päätekijät:	Morales Giraldo, María Encarnación, Salmerón Cerdán, Antonio, Maldonado González, Ana Devaki, Masegosa Arredondo, Andrés Ramón, Rumí Rodríguez, Rafael
Aineistotyyppi:	info:eu-repo/semantics/article
Kieli:	English
Julkaistu:	MDPI 2022
Aiheet:	continuous assessment Bayesian networks artificial neural networks classification
Linkit:	http://hdl.handle.net/10835/14068

Samankaltaisia teoksia

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

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

Comments on: Hybrid semiparametric Bayesian networks
Tekijä: Salmerón Cerdán, Antonio
Julkaistu: (2023)

Learning hybrid Bayesian networks using mixtures of truncated exponentials
Tekijä: Romero, Vanessa, et al.
Julkaistu: (2017)

Approximate Probability Propagation with Mixtures of Truncated Exponentials*
Tekijä: Rumí, Rafael, et al.
Julkaistu: (2017)

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

Bayesian Networks for Preprocessing Water Management Data
Tekijä: Fernández Ropero, Rosa María, et al.
Julkaistu: (2022)

Probabilistic Models with Deep Neural Networks
Tekijä: Masegosa Arredondo, Andrés Ramón, et al.
Julkaistu: (2021)

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

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

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

BayesChess: A computer chess program based on Bayesian networks
Tekijä: Fernández, Antonio, et al.
Julkaistu: (2017)

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

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

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

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

Learning Mixtures of Truncated Basis Functions from Data
Tekijä: Langseth, Helge, et al.
Julkaistu: (2017)

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

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

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

Mixtures of Truncated Basis Functions
Tekijä: Langseth, Helge, et al.
Julkaistu: (2017)

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

The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management
Tekijä: Hernández Hernández, César, et al.
Julkaistu: (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
Tekijä: Trigo Gonzalez, Mauricio
Julkaistu: (2022)

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

Electronics and Its Worldwide Research
Tekijä: García Salvador, Rosa María, et al.
Julkaistu: (2020)

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

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

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

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

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

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

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

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

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

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

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

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

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

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