Listar por autor "Millán-Valldeperas, Eva"
Mostrando ítems 1-11 de 11
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BH-ShaDe: a software tool that assists architecture students in the ill-structured task of housing design
Millán-Valldeperas, Eva
; Belmonte-Martínez, María Victoria; Ruiz-Montiel, Manuela; Gavilanes-Velaz-de-Medrano, Juan; Pérez-de-la-Cruz-Molina, José Luis (IEEE Transactions on Learning Technologies, 2016)
In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated ... -
Evaluating the Performance of Copula-Based Item Response Theory Models for Interpretable Assessment
This paper describes a study evaluating the performance of copula-based Item Response Theory in real-world settings. To achieve this, we used a dataset containing information about 152 students who took a test on first-degree ... -
FuzzyTeacher, tutor para el Control Difuso
(2018-02-23)FuzzyTeacher es una aplicación web donde un usuario puede aprender los conceptos básicos sobre la lógica difusa. Para ello debe registrarse con su nombre, apellidos, email, usuario y contraseña para poder acceder a toda ... -
Introducing passive strategies in the initial stage of the design to reduce the energy demand in single-family dwellings.
Belmonte-Martínez, María Victoria; Díaz-López, Carmen; Gavilanes-Velaz-de-Medrano, Juan; Millán-Valldeperas, Eva (Elsevier, 2021-06-15)
This article analyses the influence of various variables defined in the initial stage of the design of a single-family dwelling on its energy efficiency. It also studies the possible contribution of a computer tool in ... -
Learning Bayesian Networks for Student Modeling
Millán-Valldeperas, Eva; Belmonte-Martínez, María Victoria; Jiménez, Guiomar; Pérez-de-la-Cruz-Molina, José Luis (2015-07-03)
In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ... -
Machine and Human Observable Differences in Groups’ Collaborative Problem-Solving Behaviours
Cukurova, Mutlu; Luckin, Rose; Mavrikis, Manolis; Millán-Valldeperas, Eva (2019-10-18)
This paper contributes to our understanding of how to design learning analytics to capture and analyse collaborative problem-solving (CPS) in practice-based learning activities. Most research in learning analytics focuses ... -
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
Cukurova, Mutlu; Luckin, Rose; Millán-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ... -
Randomness and control in design processes: an empirical study with architecture students.
Belmonte-Martínez, María Victoria; Millán-Valldeperas, Eva; Ruiz-Montiel, Manuela; Badillo, Reyes; Boned-Purkiss, Francisco Javier; Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis[et al.] (2014-02-12)
The aim of this study is to explore designers' preferences between randomness and control in the generation of architectural forms. To this end, a generative computer tool was implemented that allows both random and ... -
Student engagement with resources as observable signifiers of success in practice based learning
Luckin, Rose; Cukurova, Mutlu; Millán-Valldeperas, Eva (International Society of the Learning Sciencies, 2018)
Practice-based learning activities with a focus on Science, Technology, Art, Math and Engineering (STEAM) are providing new opportunities for teaching these subjects. However, we lack widely accepted ways of assessing and ... -
Using Bayesian networks to improve knowledge assessment
Millán-Valldeperas, Eva; Descalço, Luis; Castillo, Gladys; Oliveira, Paula; Diogo, Sandra (Elsevier, 2013-01)
In this paper, we describe the integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE - Projecto ... -
Using machine learning techniques for architectural design tracking: an experimental study of the design of a shelter.
Millán-Valldeperas, Eva; Belmonte-Martínez, María Victoria; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Pérez-de-la-Cruz-Molina, José Luis; Díaz-López, Carmen[et al.] (Elsevier, 2022-02-17)
In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ...