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Juan Manuel Dodero is a Professor of Computer Systems & Languages at the University of Cadiz. He holds a Computer Science and Engineering PhD from the University Carlos III of Madrid. His main research interests are creative computing and technology-enhanced learning, with a focus on software technologies for computer-aided creation and assessment.
Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review tool focused on Computer Science, to implement evidence-based systematic review processes in other disciplines.
Tatiana Person; Iván Ruiz-Rube; José Mota; Manuel Cobo; Alexey Tselykh; Juan Dodero. A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools. Applied Sciences 2021, 11, 5527 .
AMA StyleTatiana Person, Iván Ruiz-Rube, José Mota, Manuel Cobo, Alexey Tselykh, Juan Dodero. A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools. Applied Sciences. 2021; 11 (12):5527.
Chicago/Turabian StyleTatiana Person; Iván Ruiz-Rube; José Mota; Manuel Cobo; Alexey Tselykh; Juan Dodero. 2021. "A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools." Applied Sciences 11, no. 12: 5527.
Virtual Worlds (VWs) are popular tools for teaching/learning in the twenty-first century classroom. The challenge remains however, to provide the means by which teachers could sustainably analyse and assess the performance of large groups of students in such environments. Unfortunately, external game features such as game scores and play duration have turned out to be unfair in some assessments. In this context, a case study was carried out in a foreign language course, illustrating how teachers could easily retrieve a number of performance indicators from VW-interaction logs and harness them to conduct a fine-grained analysis of students’ performance, while facilitating at the same time valuable tools for their assessment. Objective performance indicators in a server database were made accessible using an end-user development programming language. This way, a range of data visualisation methods could be employed to contrast different assumptions regarding learner performance when playing a VW-based game, which was designed to help CEFR A1 level students to learn German. This way, factors such as randomisation of game tasks, which could negatively affect learner performance, were alleviated.
Manuel Palomo-Duarte; Anke Berns; Antonio Balderas; Juan Dodero; David Camacho. Evidence-Based Assessment of Student Performance in Virtual Worlds. Sustainability 2020, 13, 244 .
AMA StyleManuel Palomo-Duarte, Anke Berns, Antonio Balderas, Juan Dodero, David Camacho. Evidence-Based Assessment of Student Performance in Virtual Worlds. Sustainability. 2020; 13 (1):244.
Chicago/Turabian StyleManuel Palomo-Duarte; Anke Berns; Antonio Balderas; Juan Dodero; David Camacho. 2020. "Evidence-Based Assessment of Student Performance in Virtual Worlds." Sustainability 13, no. 1: 244.
Video game development is still a difficult task today, requiring strong programming skills and knowledge of multiple technologies. To tackle this problem, some visual tools such as Unity or Unreal have appeared. These tools are effective and easy to use, but they are not entirely aimed at end-users with little knowledge of software engineering. Currently, there is a resurgence in the use of chatbots thanks to the recent advances in fields such as artificial intelligence or language processing. However, there is no evidence about the use of conversational agents for developing video games with domain-specific languages (DSLs). This work states the following two hypotheses: (i) Conversational agents based on natural language can be used to work with DSL for the creation of video games; (ii) these conversational agents can be automatically created by extracting the concepts, properties and relationships from their abstract syntax. To demonstrate the hypotheses, we propose and detail the implementation of a framework to work with DSLs through a chatbot, its implementation details and a systematic method to automate its construction. This approach could be also suitable for other disciplines, in addition to video games development.
Rubén Baena-Perez; Iván Ruiz-Rube; Juan Manuel Dodero; Miguel Angel Bolivar. A Framework to Create Conversational Agents for the Development of Video Games by End-Users. Communications in Computer and Information Science 2020, 216 -226.
AMA StyleRubén Baena-Perez, Iván Ruiz-Rube, Juan Manuel Dodero, Miguel Angel Bolivar. A Framework to Create Conversational Agents for the Development of Video Games by End-Users. Communications in Computer and Information Science. 2020; ():216-226.
Chicago/Turabian StyleRubén Baena-Perez; Iván Ruiz-Rube; Juan Manuel Dodero; Miguel Angel Bolivar. 2020. "A Framework to Create Conversational Agents for the Development of Video Games by End-Users." Communications in Computer and Information Science , no. : 216-226.
The Internet of Things enables experts of given domains to create smart user experiences for interacting with the environment. However, development of such experiences requires strong programming skills, which are challenging to develop for non-technical users. This paper presents several extensions to the block-based programming language used in App Inventor to make the creation of mobile apps for smart learning experiences less challenging. Such apps are used to process and graphically represent data streams from sensors by applying map-reduce operations. A workshop with students without previous experience with Internet of Things (IoT) and mobile app programming was conducted to evaluate the propositions. As a result, students were able to create small IoT apps that ingest, process and visually represent data in a simpler form as using App Inventor’s standard features. Besides, an experimental study was carried out in a mobile app development course with academics of diverse disciplines. Results showed it was faster and easier for novice programmers to develop the proposed app using new stream processing blocks.
Iván Ruiz-Rube; José Miguel Mota; Tatiana Person; José María Rodríguez Corral; Juan Manuel Dodero. Block-Based Development of Mobile Learning Experiences for the Internet of Things. Sensors 2019, 19, 5467 .
AMA StyleIván Ruiz-Rube, José Miguel Mota, Tatiana Person, José María Rodríguez Corral, Juan Manuel Dodero. Block-Based Development of Mobile Learning Experiences for the Internet of Things. Sensors. 2019; 19 (24):5467.
Chicago/Turabian StyleIván Ruiz-Rube; José Miguel Mota; Tatiana Person; José María Rodríguez Corral; Juan Manuel Dodero. 2019. "Block-Based Development of Mobile Learning Experiences for the Internet of Things." Sensors 19, no. 24: 5467.
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.
Anke Berns; Iván Ruiz-Rube; José Miguel Mota; Juan Manuel Dodero; Edson Castro; Oona Ryynanen; Lissy Werner. "Let's date!" A 360-degree video application to support foreign language learning. CALL and complexity – short papers from EUROCALL 2019 2019, 39 -44.
AMA StyleAnke Berns, Iván Ruiz-Rube, José Miguel Mota, Juan Manuel Dodero, Edson Castro, Oona Ryynanen, Lissy Werner. "Let's date!" A 360-degree video application to support foreign language learning. CALL and complexity – short papers from EUROCALL 2019. 2019; ():39-44.
Chicago/Turabian StyleAnke Berns; Iván Ruiz-Rube; José Miguel Mota; Juan Manuel Dodero; Edson Castro; Oona Ryynanen; Lissy Werner. 2019. ""Let's date!" A 360-degree video application to support foreign language learning." CALL and complexity – short papers from EUROCALL 2019 , no. : 39-44.
Hasnaa Chaabi; Amina Azmani; Juan Manuel Dodero. Analysis of the relationship between computational thinking and mathematical abstraction in primary education. Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality 2019, 981 -986.
AMA StyleHasnaa Chaabi, Amina Azmani, Juan Manuel Dodero. Analysis of the relationship between computational thinking and mathematical abstraction in primary education. Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality. 2019; ():981-986.
Chicago/Turabian StyleHasnaa Chaabi; Amina Azmani; Juan Manuel Dodero. 2019. "Analysis of the relationship between computational thinking and mathematical abstraction in primary education." Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality , no. : 981-986.
Antonio Balderas; Andrea Capiluppi; Manuel Palomo-Duarte; Alessio Malizia; Juan Manuel Dodero. Reducing procrastination while improving performance. Proceedings of the 15th International Symposium on Open Collaboration 2019, 10 .
AMA StyleAntonio Balderas, Andrea Capiluppi, Manuel Palomo-Duarte, Alessio Malizia, Juan Manuel Dodero. Reducing procrastination while improving performance. Proceedings of the 15th International Symposium on Open Collaboration. 2019; ():10.
Chicago/Turabian StyleAntonio Balderas; Andrea Capiluppi; Manuel Palomo-Duarte; Alessio Malizia; Juan Manuel Dodero. 2019. "Reducing procrastination while improving performance." Proceedings of the 15th International Symposium on Open Collaboration , no. : 10.
The use of code quality control platforms for analysing source code is increasingly gaining attention in the developer community. These platforms are prepared to parse and check source code written in a variety of general-purpose programming languages. The emergence of domain-specific languages enables professionals from different areas to develop and describe problem solutions in their disciplines. Thus, source code quality analysis methods and tools can also be applied to software artefacts developed with a domain-specific language. To evaluate the quality of domain-specific language code, every software component required by the quality platform to parse and query the source code must be developed. This becomes a time-consuming and error-prone task, for which this paper describes a model-driven interoperability strategy that bridges the gap between the grammar formats of source code quality parsers and domain-specific text languages. This approach has been tested on the most widespread platforms for designing text-based languages and source code analysis. This interoperability approach has been evaluated on a number of specific contexts in different domain areas.
Iván Ruiz-Rube; Tatiana Person; Juan Manuel Dodero; José Miguel Mota; Javier Merchán Sánchez-Jara. Applying static code analysis for domain-specific languages. Software & Systems Modeling 2019, 19, 95 -110.
AMA StyleIván Ruiz-Rube, Tatiana Person, Juan Manuel Dodero, José Miguel Mota, Javier Merchán Sánchez-Jara. Applying static code analysis for domain-specific languages. Software & Systems Modeling. 2019; 19 (1):95-110.
Chicago/Turabian StyleIván Ruiz-Rube; Tatiana Person; Juan Manuel Dodero; José Miguel Mota; Javier Merchán Sánchez-Jara. 2019. "Applying static code analysis for domain-specific languages." Software & Systems Modeling 19, no. 1: 95-110.
Game-based learning has proven to be effective for enhancing student motivation and learning outcomes. In this study, the authors first designed and then tested a 3D virtual world-based video game to support students in learning a foreign language. Two data mining clustering techniques are used to analyse the impact of the game on learning processes and outcomes. The aim is to classify students according to learning outcomes, by comparing specific language competencies, such as the grammar, vocabulary and writing, before, during and after a case study. The case study used here involved 102 undergraduate German language students from the A1.2 level (CEFR). The results obtained from the application of two different clustering techniques indicate that learners do not all benefit from game-based learning in the same way; some students might better develop language competencies through more conventional and guided learning approaches.
Manuel Palomo-Duarte; Anke Berns; Andrés Yáñez Escolano; Juan-Manuel Dodero. Clustering analysis of game-based learning: Worth it for all students? Journal of Gaming & Virtual Worlds 2019, 11, 45 -66.
AMA StyleManuel Palomo-Duarte, Anke Berns, Andrés Yáñez Escolano, Juan-Manuel Dodero. Clustering analysis of game-based learning: Worth it for all students? Journal of Gaming & Virtual Worlds. 2019; 11 (1):45-66.
Chicago/Turabian StyleManuel Palomo-Duarte; Anke Berns; Andrés Yáñez Escolano; Juan-Manuel Dodero. 2019. "Clustering analysis of game-based learning: Worth it for all students?" Journal of Gaming & Virtual Worlds 11, no. 1: 45-66.
A visual programming language allows users and developers to create programs by manipulating program elements graphically. Several studies have shown the benefits of visual languages for learning purposes and their applicability to robot programming. However, at present, there are not enough comparative studies on the suitability of textual and visual languages for this purpose. In this work we study if, as with a textual language, the use of a visual language could also be suitable in the context of robot programming and, if so, what the main advantages of using a visual language would be. For our experiments, we selected a sample of sixty individuals among students with an adequate knowledge of procedural programming, that was divided into three groups. For the first group of twenty students, a learning scenario based on a textual object-oriented language was used for programming a specific commercial robotic ball with sensing, wireless communication and output capabilities, whereas for the second and the third group, two learning scenarios based on visual languages were used for programming the robot. After taking a course for programming the robot in the corresponding learning scenario, each group was evaluated by completing three programming exercises related to the robot features (i.e. motion, lighting and collision detection). Our results show that the students that worked with visual languages perceived a higher clarity level in their understanding of the course exposition, and a higher enjoyment level in the use of the programming environment. Moreover, they also achieved an overall better mark.
Jose Maria Rodriguez Corral; Ivan Ruiz-Rube; Anton Civit Balcells; Jose Miguel Mota-Macias; Arturo Morgado-Estevez; Juan Manuel Dodero. A Study on the Suitability of Visual Languages for Non-Expert Robot Programmers. IEEE Access 2019, 7, 17535 -17550.
AMA StyleJose Maria Rodriguez Corral, Ivan Ruiz-Rube, Anton Civit Balcells, Jose Miguel Mota-Macias, Arturo Morgado-Estevez, Juan Manuel Dodero. A Study on the Suitability of Visual Languages for Non-Expert Robot Programmers. IEEE Access. 2019; 7 (99):17535-17550.
Chicago/Turabian StyleJose Maria Rodriguez Corral; Ivan Ruiz-Rube; Anton Civit Balcells; Jose Miguel Mota-Macias; Arturo Morgado-Estevez; Juan Manuel Dodero. 2019. "A Study on the Suitability of Visual Languages for Non-Expert Robot Programmers." IEEE Access 7, no. 99: 17535-17550.
Flip-GET has been developed with the objective of optimizing engineering practicals. The innovative element of this methodology is the use of serious games, as a complement to the flipped classroom method, in the teaching-learning process of engineering studies. This methodology uses serious games to take advantage of the capacity of motivation that video games have for the current generation of students, who have been involved with digital content, software, and electronic devices. This methodology has been evaluated using the method of case studies and by an experimental evaluation carried out in different stages, each of which has been developed during an academic course. In the experimental evaluation of the methodology, the control group carried out the practicals dividing the students into subgroups, without using the Flip-GET methodology, while the experimental group performed them with the methodology.
Milagros Huerta Gómez De Merodio; Juan Manuel Dodero; Nestor Mora Núñez; José Mª Portela Núñez. Flip-Game Engineering and Technology Methodology. Design Solutions for Adaptive Hypermedia Listening Software 2019, 77 -109.
AMA StyleMilagros Huerta Gómez De Merodio, Juan Manuel Dodero, Nestor Mora Núñez, José Mª Portela Núñez. Flip-Game Engineering and Technology Methodology. Design Solutions for Adaptive Hypermedia Listening Software. 2019; ():77-109.
Chicago/Turabian StyleMilagros Huerta Gómez De Merodio; Juan Manuel Dodero; Nestor Mora Núñez; José Mª Portela Núñez. 2019. "Flip-Game Engineering and Technology Methodology." Design Solutions for Adaptive Hypermedia Listening Software , no. : 77-109.
Antonio Balderas; Juan Manuel Dodero; Manuel Palomo-Duarte. Model-Driven Skills Assessmentin Knowledge Management Systems. Journal of Web Engineering 2019, 18, 353 -380.
AMA StyleAntonio Balderas, Juan Manuel Dodero, Manuel Palomo-Duarte. Model-Driven Skills Assessmentin Knowledge Management Systems. Journal of Web Engineering. 2019; 18 (4):353-380.
Chicago/Turabian StyleAntonio Balderas; Juan Manuel Dodero; Manuel Palomo-Duarte. 2019. "Model-Driven Skills Assessmentin Knowledge Management Systems." Journal of Web Engineering 18, no. 4: 353-380.
Privacy-Preserving Reengineering of Model-View-Controller Application Architectures Using Linked Data
Juan Manuel Dodero; Mercedes Rodríguez García; Manuel Palomo-Duarte. Privacy-Preserving Reengineeringof Model-View-Controller ApplicationArchitectures Using Linked Data. Journal of Web Engineering 2019, 18, 695 -728.
AMA StyleJuan Manuel Dodero, Mercedes Rodríguez García, Manuel Palomo-Duarte. Privacy-Preserving Reengineeringof Model-View-Controller ApplicationArchitectures Using Linked Data. Journal of Web Engineering. 2019; 18 (7):695-728.
Chicago/Turabian StyleJuan Manuel Dodero; Mercedes Rodríguez García; Manuel Palomo-Duarte. 2019. "Privacy-Preserving Reengineeringof Model-View-Controller ApplicationArchitectures Using Linked Data." Journal of Web Engineering 18, no. 7: 695-728.
A diferencia de otras áreas, que cuentan con una larga tradición en la realización de TFGs, en España las áreas de Humanidades empezaron hace solo unos años, a raíz de la adaptación al plan Bolonia, a incluir en sus titulaciones la realización obligatoria de TFGs. Con el objetivo de compartir y debatir nuestra propia experiencia con otros docentes presentaremos los resultados de diversas tutorizaciones de trabajos basados revisiones sistemáticas de la literatura, llevadas a cabo en el Grado de Estudios Ingleses. La realización de estas no solo ayuda al estudiante a madurar, sino además a familiarizarse con motores de búsqueda, los cuales se muestran como una de las herramientas fundamentales para hacer un trabajo de investigación sólido y de interés para la comunidad científica. Aspectos claves en la tutela de los trabajos fueron, entre otros, la orientación del estudiante para identificar temas relevantes de investigación; la estructuración del trabajo de investigación a partir de una o varias hipótesis; el uso de una metodología científica apropiada para hacer un trabajo que permitiese contrastar las hipótesis establecidas y, por último, la presentación de los resultados obtenidos en un formato open-science a fin de que otros investigadores pudieran acceder a ellos y así maximizar su difusión.
Anke Berns; Manuel Palomo Duarte; Andrea Calderón Márquez; Juan Manuel Dodero. Iniciar al alumnado de Estudios Ingleses en la investigación científica a partir de TFGs centrados en revisiones sistemáticas de la literatura. REDU. Revista de Docencia Universitaria 2018, 16, 143 -158.
AMA StyleAnke Berns, Manuel Palomo Duarte, Andrea Calderón Márquez, Juan Manuel Dodero. Iniciar al alumnado de Estudios Ingleses en la investigación científica a partir de TFGs centrados en revisiones sistemáticas de la literatura. REDU. Revista de Docencia Universitaria. 2018; 16 (2):143-158.
Chicago/Turabian StyleAnke Berns; Manuel Palomo Duarte; Andrea Calderón Márquez; Juan Manuel Dodero. 2018. "Iniciar al alumnado de Estudios Ingleses en la investigación científica a partir de TFGs centrados en revisiones sistemáticas de la literatura." REDU. Revista de Docencia Universitaria 16, no. 2: 143-158.
When exploring big amounts of data without a clear target, providing an interactive experience becomes really difficult, since this tentative inspection usually defeats any early decision on data structures or indexing strategies. This is also true on the physics domain, specifically on high energy physics, where the huge volume of data generated by the detectors is normally explored via C++ code using batch processing, which introduces a considerable latency. An interactive tool, when integrated into the existing data management systems, can add great value to the usability of these platforms. Objectives Here we intend to review the current state of the art of interactive data exploration, aiming at satisfying three requirements: access to raw data files, stored in a distributed environment, and with a reasonably low latency. Method This work follows the guidelines for Systematic Mapping Studies, which is well-suited for gathering and classifying available studies. Results We summarize the results after classifying the 242 papers that passed our inclusion criteria. While there are many proposed solutions that tackle the problem in different manners, there is little evidence available about their implementation in practice. Almost all of the solutions found by this study cover a subset of our requirements, with only one partially satisfying the three. Conclusions Solutions for data exploration abound. It is an active research area and, considering the continuous growth of data volume and variety, is only to become harder. There is a niche for research on a solution that covers our requirements and the required building blocks are there.
Alejandro Alvarez-Ayllon; Manuel Palomo-Duarte; Juan Manuel Dodero. Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study. IEEE Access 2018, 7, 10691 -10717.
AMA StyleAlejandro Alvarez-Ayllon, Manuel Palomo-Duarte, Juan Manuel Dodero. Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study. IEEE Access. 2018; 7 (99):10691-10717.
Chicago/Turabian StyleAlejandro Alvarez-Ayllon; Manuel Palomo-Duarte; Juan Manuel Dodero. 2018. "Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study." IEEE Access 7, no. 99: 10691-10717.
Systematic literature reviews and mapping studies are useful research methods used to lay the foundations of further research. These methods are widely used in the Health Sciences and, more recently, also in Computer Science. Despite existing tool support for systematic reviews, more automation is required to conduct the complete process. This paper describes CloudSERA, a web-based app to support the evidence-based systematic review of scientific literature. The tool supports researchers to carry out studies by additional facilities as collaboration, usability, parallel searches and search integration with other systems, The flexible data scheme of the tool enables the integration of bibliographic databases of common use in Computer Science and can be easily extended to support additional sources. It can be used as a service in a cloud environment or as on-premises software.
Iván Ruiz-Rube; Tatiana Person; José Miguel Mota; Juan Manuel Dodero; Ángel Rafael González-Toro. Evidence-Based Systematic Literature Reviews in the Cloud. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 105 -112.
AMA StyleIván Ruiz-Rube, Tatiana Person, José Miguel Mota, Juan Manuel Dodero, Ángel Rafael González-Toro. Evidence-Based Systematic Literature Reviews in the Cloud. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():105-112.
Chicago/Turabian StyleIván Ruiz-Rube; Tatiana Person; José Miguel Mota; Juan Manuel Dodero; Ángel Rafael González-Toro. 2018. "Evidence-Based Systematic Literature Reviews in the Cloud." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 105-112.
Tatiana Person; José Miguel Mota; Maria Del Carmen Listán; Iván Ruiz-Rube; Juan Manuel Dodero; Fernando Rambla Barreno; María Concepción Muriel Patino; Adrián Ruiz Serván; Juan Manuel Vidal Pérez. Authoring of educational mobile apps for the mathematics-learning analysis. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality 2018, 299 -305.
AMA StyleTatiana Person, José Miguel Mota, Maria Del Carmen Listán, Iván Ruiz-Rube, Juan Manuel Dodero, Fernando Rambla Barreno, María Concepción Muriel Patino, Adrián Ruiz Serván, Juan Manuel Vidal Pérez. Authoring of educational mobile apps for the mathematics-learning analysis. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2018; ():299-305.
Chicago/Turabian StyleTatiana Person; José Miguel Mota; Maria Del Carmen Listán; Iván Ruiz-Rube; Juan Manuel Dodero; Fernando Rambla Barreno; María Concepción Muriel Patino; Adrián Ruiz Serván; Juan Manuel Vidal Pérez. 2018. "Authoring of educational mobile apps for the mathematics-learning analysis." Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality , no. : 299-305.
Manuel Palomo Duarte; Antonio Balderas; Juan Manuel Dodero; Antonio J. Reinoso; Juan Antonio Caballero-Hernández; Pablo Delatorre. Integrating quantitative and qualitative data in assessment of wiki collaborative assignments. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality 2018, 328 -332.
AMA StyleManuel Palomo Duarte, Antonio Balderas, Juan Manuel Dodero, Antonio J. Reinoso, Juan Antonio Caballero-Hernández, Pablo Delatorre. Integrating quantitative and qualitative data in assessment of wiki collaborative assignments. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2018; ():328-332.
Chicago/Turabian StyleManuel Palomo Duarte; Antonio Balderas; Juan Manuel Dodero; Antonio J. Reinoso; Juan Antonio Caballero-Hernández; Pablo Delatorre. 2018. "Integrating quantitative and qualitative data in assessment of wiki collaborative assignments." Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality , no. : 328-332.
Anke Berns; José Miguel Mota; Ivan Ruiz-Rube; Juan Manuel Dodero. Exploring the potential of a 360° video application for foreign language learning. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality 2018, 776 -780.
AMA StyleAnke Berns, José Miguel Mota, Ivan Ruiz-Rube, Juan Manuel Dodero. Exploring the potential of a 360° video application for foreign language learning. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2018; ():776-780.
Chicago/Turabian StyleAnke Berns; José Miguel Mota; Ivan Ruiz-Rube; Juan Manuel Dodero. 2018. "Exploring the potential of a 360° video application for foreign language learning." Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality , no. : 776-780.
Wikis are appropriate tools for deploying authentic assessment experiences for learning and work scenarios in which a group of users are asked to develop a shared task. However, when the number of wiki users increases, the number of contributions can grow at a pace whereby accurately assessing them becomes a complex and non-scalable task. While different quantitative approaches have been shown to be scalable, they are usually coarse-grained and provide limited feedback about the assessment. This work proposes a scalable assessment methodology for wiki-based tasks, based on qualitative self- and peer assessment of wiki contributions. The methodology is implemented using a software tool and is applied as part of an undergraduate course, complementing a quantitative assessment approach. Positive evidence on the scalability of the method and how it implements a more fine-grained qualitative assessment than the regular quantitative approach is found, providing indicators for assessing both individual and group generic skills.
Antonio Balderas; Manuel Palomo-Duarte; Juan Manuel Dodero; María Soledad Ibarra-Sáiz; Gregorio Rodríguez-Gómez. Scalable authentic assessment of collaborative work assignments in wikis. International Journal of Educational Technology in Higher Education 2018, 15, 40 .
AMA StyleAntonio Balderas, Manuel Palomo-Duarte, Juan Manuel Dodero, María Soledad Ibarra-Sáiz, Gregorio Rodríguez-Gómez. Scalable authentic assessment of collaborative work assignments in wikis. International Journal of Educational Technology in Higher Education. 2018; 15 (1):40.
Chicago/Turabian StyleAntonio Balderas; Manuel Palomo-Duarte; Juan Manuel Dodero; María Soledad Ibarra-Sáiz; Gregorio Rodríguez-Gómez. 2018. "Scalable authentic assessment of collaborative work assignments in wikis." International Journal of Educational Technology in Higher Education 15, no. 1: 40.