Search

Your search keyword '"Dodero, Juan Manuel"' showing total 322 results
Start Over Author "Dodero, Juan Manuel"

Refine your results

more »

more »

more »

more »
322 results on '"Dodero, Juan Manuel"'

1. An Instrument to Characterize the Cognitive Process Associated with Computational Thinking Skills for Engineering Students

Author

Chaabi, Hasnaa, Huerta, Milagros, Dodero, Juan Manuel, Huang, Ronghuai, Series Editor, Kinshuk, Series Editor, Jemni, Mohamed, Series Editor, Chen, Nian-Shing, Series Editor, Spector, J. Michael, Series Editor, Gonçalves, José Alexandre de Carvalho, editor, Lima, José Luís Sousa de Magalhães, editor, Coelho, João Paulo, editor, García-Peñalvo, Francisco José, editor, and García-Holgado, Alicia, editor

Published
2024
Full Text
View/download PDF

2. Exploring the Impact of ChatGPT on Education: A Case of Study on Spanish Tweets

Author

Muñoz, Andrés, Baena-Pérez, Rubén, Balderas, Antonio, Palomo-Duarte, Manuel, Caballero-Hernández, Juan Antonio, Mota, José Miguel, Dodero, Juan Manuel, Huang, Ronghuai, Series Editor, Kinshuk, Series Editor, Jemni, Mohamed, Series Editor, Chen, Nian-Shing, Series Editor, Spector, J. Michael, Series Editor, Gonçalves, José Alexandre de Carvalho, editor, Lima, José Luís Sousa de Magalhães, editor, Coelho, João Paulo, editor, García-Peñalvo, Francisco José, editor, and García-Holgado, Alicia, editor

Published
2024
Full Text
View/download PDF

3. Serious Game Adventure for Learning Data Exploration Skills

Author

Palomo-Duarte, Manuel, Caballero-Hernández, Juan Antonio, Díaz-Brotons, Francisco, Balderas, Antonio, Ortega, Jose Antonio, Dodero, Juan Manuel, Huang, Ronghuai, Series Editor, Kinshuk, Series Editor, Jemni, Mohamed, Series Editor, Chen, Nian-Shing, Series Editor, Spector, J. Michael, Series Editor, García-Peñalvo, Francisco José, editor, Sein-Echaluce, María Luisa, editor, and Fidalgo-Blanco, Ángel, editor

Published
2024
Full Text
View/download PDF

5. Two-sample test based on Self-Organizing Maps

Author

Álvarez-Ayllón, Alejandro, Palomo-Duarte, Manuel, and Dodero, Juan-Manuel

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, G.3
Abstract

Machine-learning classifiers can be leveraged as a two-sample statistical test. Suppose each sample is assigned a different label and that a classifier can obtain a better-than-chance result discriminating them. In this case, we can infer that both samples originate from different populations. However, many types of models, such as neural networks, behave as a black-box for the user: they can reject that both samples originate from the same population, but they do not offer insight into how both samples differ. Self-Organizing Maps are a dimensionality reduction initially devised as a data visualization tool that displays emergent properties, being also useful for classification tasks. Since they can be used as classifiers, they can be used also as a two-sample statistical test. But since their original purpose is visualization, they can also offer insights., Comment: 27 pages

Published
2022

6. 'Let's Date!' A 360-Degree Video Application to Support Foreign Language Learning

Author

Berns, Anke, Ruiz-Rube, Iván, Mota, José Miguel, Dodero, Juan Manuel, Castro, Edson, Ryynanen, Oona, and Werner, Lissy

Abstract

New technologies are changing the way of learning foreign languages. However, one of the main challenges for software developers and mobile assisted language learning designers remains the creation of learning environments for students' language immersion in and outside the classroom. This paper describes the design and evaluation of a VR-based mobile app called "Let's date!." The app enables Common European Framework of Reference for languages (CEFR) A1 level German language learners to interact with an immersive environment and to practise several language skills. The results have proven that the use of 360° videos based on realistic situations and combined with a conversational agent is suitable to reinforce students' foreign language competencies. [For the complete proceedings, see ED600837.]

Published
2019

7. Inference of Common Multidimensional Equally-Distributed Attributes

Author

Alvarez-Ayllon, Alejandro, Palomo-Duarte, Manuel, and Dodero, Juan-Manuel

Subjects
Computer Science - Databases, 68P20 (Primary), 62P99, 62B10 (Secondary), E.m, G.3, H.3.3
Abstract

Given two relations containing multiple measurements - possibly with uncertainties - our objective is to find which sets of attributes from the first have a corresponding set on the second, using exclusively a sample of the data. This approach could be used even when the associated metadata is damaged, missing or incomplete, or when the volume is too big for exact methods. This problem is similar to the search of Inclusion Dependencies (IND), a type of rule over two relations asserting that for a set of attributes X from the first, every combination of values appears on a set Y from the second. Existing IND can be found exploiting the existence of a partial order relation called specialization. However, this relation is based on set theory, requiring the values to be directly comparable. Statistical tests are an intuitive possible replacement, but it has not been studied how would they affect the underlying assumptions. In this paper we formally review the effect that a statistical approach has over the inference rules applied to IND discovery. Our results confirm the intuitive thought that statistical tests can be used, but not in a directly equivalent manner. We provide a workable alternative based on a "hierarchy of null hypotheses", allowing for the automatic discovery of multi-dimensional equally distributed sets of attributes., Comment: 11 pages, 2 figures

Published
2021

8. Chatbot to Provide Initial Assistance to Erasmus Students in Case of Emergency

Author

García Mena, Roberto Fermín, Balderas, Antonio, Huerta, Milagros, Dodero, Juan Manuel, Mora Nuñez, Nestor, Huang, Ronghuai, Series Editor, Kinshuk, Series Editor, Jemni, Mohamed, Series Editor, Chen, Nian-Shing, Series Editor, Spector, J. Michael, Series Editor, García-Peñalvo, Francisco José, editor, and García-Holgado, Alicia, editor

Published
2023
Full Text
View/download PDF

12. Visual Environment for Designing Interactive Learning Scenarios with Augmented Reality

Author

Mota, José Miguel, Ruiz-Rube, Iván, Dodero, Juan Manuel, and Figueiredo, Mauro

Abstract

Augmented Reality (AR) technology allows the inclusion of virtual elements on a vision of actual physical environment for the creation of a mixed reality in real time. This kind of technology can be used in educational settings. However, the current AR authoring tools present several drawbacks, such as, the lack of a mechanism for tracking the students' activities, the capability of detecting collisions among virtual objects, allowing establish only one-to-one relationships between trackers and virtual objects, etc. In this paper, we present VEDILS, a visual tool based on the MIT App Inventor 2 environment for designing interactive learning scenarios that include Augmented Reality (AR) resources and can be deployed on Android devices. We have extended the App Inventor block language to include AR resources and obtain information about users' interaction with such resources. Furthermore, a use scenario consisting in the development of an example of learning scenario for Engineering students is included. With this prototype students can visualize 3D models of the mechanical parts with augmented reality in a mobile device, providing a better perception of the model 3D shape and improving the ability of making the 2D orthographic views and perspectives that they study in the first year of mechanical engineer. [For the full proceedings, see ED571335.]

Published
2016

14. A Framework to Create Conversational Agents for the Development of Video Games by End-Users

Author

Baena-Perez, Rubén, Ruiz-Rube, Iván, Dodero, Juan Manuel, Bolivar, Miguel Angel, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dorronsoro, Bernabé, editor, Ruiz, Patricia, editor, de la Torre, Juan Carlos, editor, Urda, Daniel, editor, and Talbi, El-Ghazali, editor

Published
2020
Full Text
View/download PDF

15. Mobile Apps to Support and Assess Foreign Language Learning

Author

Berns, Anke, Palomo-Duarte, Manuel, Dodero, Juan Manuel, Ruiz-Ladrón, Juan Miguel, and Márquez, Andrea Calderón

Abstract

In the last two decades there have been many attempts to integrate all kinds of mobile devices and apps to support formal as well as informal learning processes. However, most of the available apps still support mainly individual learning, using mobile devices to deliver content rather than providing learners with the opportunity to interact with each other. To address this we have designed an app based on a highly interactive, ubiquitous and constructive learning approach. The app is called "Guess it! Language Trainer" and allows learners to share, assess and co-construct their foreign language knowledge. Learning contents are no longer delivered but integrated into versatile tasks. Even though these tasks are being performed individually by each player, the players' interaction with the app performed affects the whole community of learners. The current research paper presents the first results of an ongoing research project using mobile apps to enhance the Foreign Language Learning in a compulsory German language course at a Spanish University. In our paper we will firstly describe a specific app (Guess it! Language Trainer) which has been used to support students' independent language learning outside the classroom. Secondly, we will describe how the app encouraged students to get actively involved in their own learning processes and thirdly, how the teacher can use the information stored in the system to retrace and assess students' language learning. [For full proceedings, see ED564162.]

Published
2015

18. Evidence-Based Systematic Literature Reviews in the Cloud

Author

Ruiz-Rube, Iván, Person, Tatiana, Mota, José Miguel, Dodero, Juan Manuel, González-Toro, Ángel Rafael, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2018
Full Text
View/download PDF

19. Generative Adaptation and Reuse of Competence Development Programmes

Author

Dodero, Juan Manuel, Zarraonandia, Telmo, and Fernandez, Camino

Abstract

Instructional engineering provides methods to conduct the design and adaptation of competence development programmes by the combination of diverse learning components (i.e. units of learning, learning activities, learning resources and learning services). It occurs through an established process workflow in which models with diverse levels of abstraction are used to depict such learning components. This paper presents a model-driven generative method used to adapt and reuse a set of learning components for the delivery of a competence development programme concerned with a given learning objective and which serves for a specific instructional context. (Contains 5 figures and 1 note.)

Published
2007

24. Supporting Skill Assessment in Learning Experiences Based on Serious Games Through Process Mining Techniques

Author

Caballero-Hernández, Juan Antonio, Palomo-Duarte, Manuel, Dodero, Juan Manuel, and Gaševic, Dragan

Subjects
learning analytics, game-based learning, serious games, educational data mining, IJIMAI
Abstract

Learning experiences based on serious games are employed in multiple contexts. Players carry out multiple interactions during the gameplay to solve the different challenges faced. Those interactions can be registered in logs as large data sets providing the assessment process with objective information about the skills employed. Most assessment methods in learning experiences based on serious games rely on manual approaches, which do not scalewell when the amount of data increases. We propose an automated method to analyse students’ interactions and assess their skills in learning experiences based on serious games. The method takes into account not only the final model obtained by the student, but also the process followed to obtain it, extracted from game logs. The assessment method groups students according to their in-game errors and ingame outcomes. Then, the models for the most and the least successful students are discovered using process mining techniques. Similarities in their behaviour are analysed through conformance checking techniques to compare all the students with the most successful ones. Finally, the similarities found are quantified to build a classification of the students’ assessments. We have employed this method with Computer Science students playing a serious game to solve design problems in a course on databases. The findings show that process mining techniques can palliate the limitations of skill assessment methods in game-based learning experiences.

Published
2023

27. Automating Technical Reviews in Software Forges and Repositories Based on Linked Data

Author

Dodero, Juan Manuel, Ruiz-Rube, Iván, Traverso, Ignacio, Junqueira Barbosa, Simone Diniz, Series editor, Chen, Phoebe, Series editor, Cuzzocrea, Alfredo, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Ślęzak, Dominik, Series editor, Washio, Takashi, Series editor, Yang, Xiaokang, Series editor, Closs, Sissi, editor, Studer, Rudi, editor, Garoufallou, Emmanouel, editor, and Sicilia, Miguel-Angel, editor

Published
2014
Full Text
View/download PDF

28. Guess It! Using Gamificated Apps to Support Students Foreign Language Learning by Organic Community-Driven Peer-Assessment

Author

Berns, Anke, Palomo-Duarte, Manuel, Dodero, Juan Manuel, Cejas, Alberto, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rensing, Christoph, editor, de Freitas, Sara, editor, Ley, Tobias, editor, and Muñoz-Merino, Pedro J., editor

Published
2014
Full Text
View/download PDF

32. Assessment of Collaborative Learning Experiences by Graphical Analysis of Wiki Contributions

Author

Palomo-Duarte, Manuel, Dodero, Juan Manuel, and Medina-Bulo, Inmaculada

Abstract

The widespread adoption of computers and Internet in our life has reached the classrooms, where computer-supported collaborative learning (CSCL) based on wikis offers new ways of collaboration and encourages student participation. When the number of contributions from students increases, traditional assessment procedures of e-learning settings suffer from scalability problems. In a wiki-based learning experience, automatic tools are required to support the assessment of such huge amounts of data. In this work, we present StatMediaWiki, a tool that collects and aggregates information that helps to analyze a MediaWiki installation. It generates charts, tables and different statistics enabling easy analysis of wiki evolution. We have used StatMediaWiki in a Higher Education course and present the results obtained in this case study.

Published
2014
Full Text
View/download PDF

34. Using a 3D Online Game to Assess Students’ Foreign Language Acquisition and Communicative Competence

Author

Berns, Anke, Palomo-Duarte, Manuel, Dodero, Juan Manuel, Valero-Franco, Concepción, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Hernández-Leo, Davinia, editor, Ley, Tobias, editor, Klamma, Ralf, editor, and Harrer, Andreas, editor

Published
2013
Full Text
View/download PDF

39. An Automatic Indicator of the Reusability of Learning Objects Based on Metadata That Satisfies Completeness Criteria

Author

Sanz-Rodríguez, Javier, Margaritopoulos, Merkourios, Margaritopoulos, Thomas, Dodero, Juan Manuel, Sánchez-Alonso, Salvador, Manitsaris, Athanasios, Lytras, Miltiadis D., editor, Ordonez De Pablos, Patricia, editor, Avison, David, editor, Sipior, Janice, editor, Jin, Qun, editor, Leal, Walter, editor, Uden, Lorna, editor, Thomas, Michael, editor, Cervai, Sara, editor, and Horner, David, editor

Published
2010
Full Text
View/download PDF

43. Transformational Techniques for Model-Driven Authoring of Learning Designs

Author

Dodero, Juan Manuel, Tattersall, Colin, Burgos, Daniel, Koper, Rob, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Leung, Howard, editor, Li, Frederick, editor, Lau, Rynson, editor, and Li, Qing, editor

Published
2008
Full Text
View/download PDF

44. Iterative Design of Learning Processes

Author

Zarraonandia, Telmo, Dodero, Juan Manuel, Fernández, Camino, Paloma Díaz, Ignacio Aedo y, Fernández-Manjón, Baltasar, editor, Sánchez-Pérez, Juan Manuel, editor, Gómez-Pulido, Juan Antonio, editor, Vega-Rodríguez, Miguel Angel, editor, and Bravo-Rodríguez, José, editor

Published
2007
Full Text
View/download PDF

46. Towards an Effective Instructional Engineering Analysis Method

Author

Cebollero, David Díez, Llamas, Camino Fernández, Dodero, Juan Manuel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Nejdl, Wolfgang, editor, and Tochtermann, Klaus, editor

Published
2006
Full Text
View/download PDF

50. A Methodological Approach to Encourage the Service-Oriented Learning Systems Development

Author

Diez, David, Malizia, Alessio, Aedo, Ignacio, Diaz, Paloma, Fernandez, Camino, and Dodero, Juan-Manuel

Abstract

The basic idea of service-oriented learning is that a learning environment should be conceived as a set of independent units of learning packaged as learning services. The design, development and deployment of a learning system based on integrating different learning services needs both a technological platform to support the system as well as a methodology that manages the development process. Such technological platform is provided by the Service Oriented Learning Architecture (SOLA). SOLA proposes an architecture style, which defines how to deploy several units of packeged-learning services. The purpose of this paper is to review the SOLA concept and to present a specific method based on specifying instructional domains, to complement the SOLA approach. Our method suggests the definition of a feature model, which represents the characteristics of the instructional domain, in order to address the identification and classification of candidate services. The approach here proposed facilitates the definition of candidate-learning services in order to enhance the integration of such services. (Contains 5 figures.)

Published
2009

Catalog

Books, media, physical & digital resources
See catalog results