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In educational environments, technological adoption in the last 10 years has enabled a data-driven and decisionmaking paradigm in organizations. The integration of cloud services in schools and universities is a positive shift in the field of learning, but it also presents threats to all academic roles that need to be discussed in terms of protection, privacy, and confidentiality. Cloud storage brings the ubiquity of data to this technical transition and a delusive opportunity for cost savings. In many cases, this suggests that certain actors, beyond the control of schools and colleges, collect, handle and treat educational data on private servers and data centers. This privatization enables the manipulation of stored records, leaks, and unauthorized access. In this article, we expose the possibilities that open from the viewpoint of local technology adoption. We seek to reduce or even totally solve the detrimental effects of using cloud-based instructional and analytical technology, mixing or only using local technology. Technological methods that conform to this alternate viewpoint and new lines of study are also being suggested and created. The research that has given rise to these results has been carried out through funds from the Secretariat of Universities and Research of the Department of Business and Knowledge of the Generalitat de Catalunya and Ramon Llull University, with the project 2020-URLProj-058. Peer Reviewed Objectius de Desenvolupament Sostenible::16 - Pau, Justícia i Institucions Sòlides::16.6 - Crear unes institucions eficaces, responsables i transparents a tots els nivells Objectius de Desenvolupament Sostenible::16 - Pau, Justícia i Institucions Sòlides::16.b - Promoure i aplicar lleis i polítiques no discriminatòries en favor del desenvolupament sostenible Objectius de Desenvolupament Sostenible::16 - Pau, Justícia i Institucions Sòlides

This study assesses the implementation of different gamification tools and learning complexity in the of the subject Shipbuilding Principles of the Universitat Politècnica de Catalunya · BarcelonaTech (UPC). This experience has been carried out under a triple new scenario: the virtuality due to the Covid-19 pandemic, added to the gamified training, and the assessment carried out remotely. Both the content and the assessment of the subject have been presented using three gamification web tools (Kahoot!, Mentimeter, and Socrative) and three learning complexity (Lexicon, Comprehension, and Visual & Relationship). The content of the subject has been taught in a dynamic, entertaining, and active way. An important factor that has been taken into account was student diversity when responding to gamified elements, using different gamification tools and different learning complexity. This experience of gamification had a positive impact on student motivation, class attendance, participation, collaborative learning, and classroom climate, which is key in a scenario like the current one, with an adaptation of classes to online learning due to the pandemic. From the results obtained, it can be stated that the gamified experience, even offering a good result compared to previous academic years, did not provide a significant improvement in the overall academic performance of the students. Regarding the gamification tools, the one that presented a slight advantage over the rest was Socrative, which is based on a particular challenge without competition between peers or groups. Regarding the learning complexity, all presented a similar level of success. Objectius de Desenvolupament Sostenible::4 - Educació de Qualitat

In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is described. The approach defines which concepts from domain knowledge should be included in the initial test so the system can make conclusions about what students truly know about domain knowledge. This representative subset of domain knowledge is defined using non-semantic mathematical approach based on graph theory. The initial test, created over a domain knowledge representative subset, guarantees encompassing all concepts that are relevant to domain knowledge. A two-level case study is conducted on what would be the representative subset of one selected domain knowledge. It compares semantically selected domain knowledge representative subsets (semantical analysis was done by domain area experts) to a non-semantical, mathematically selected domain knowledge representative subset. The results of the case study show that problems of inequality of semantically selected domain knowledge representative subsets are easily overcome using the presented approach.

Most educational software programs use and gather personal information and metadata from students. Additionally, most of the educational software programs are no longer operated by the learning institutions but are run by third-party agencies. This means that in the decade since 2020, information about students is stored and handled outside premises and control of learning institutions. The personal information about students and their activity while they interact with learning management systems and online learning tools is increasingly in custody of cloud computing platforms, software-as-a-service providers, and learning tool vendors. There is an increasing will to use all the data and metadata from the activity of the students for research, to develop education management strategies, pedagogy approaches, and develop behavior control tools or learning tools informed by behavior analysis from learning analytics. Many times, these studies lack the ethical and moral perspective. In addition, there is an increasing number of cases in which this information has leaked or has been used in a shady way. Additionally, this information will be around for a long time, tied to the future digital profiles of the students whose data has been leaked. This paper hypothesizes that there has been an ongoing process of technological evolution that leads to a loss of control over personal information, which makes it even more difficult to protect user confidentiality and ensuring privacy, that data surveillance has entered the world of education, and that the current legal frameworks are not enough to really protect the student’s personal information. The paper analyzes how this situation came to pass, and why this is wrong. We conclude with some proposals to address it from its different root dimensions: technical, cultural, legal, and organizational.

The introduction of the computer into the educational process is a fact. The educational use of new technologies creates a new, more appealing and enjoyable learning environment. The introduction of new technologies into school differentiates the role of the professor by giving him/her a guiding character in a process of experiential approach to knowledge. In the present paper a proposal for the teaching of the chemistry module “Simple Colloids” is presented, with the contribution of video recorded educational experiments. Complete experiments on the subject of “Simple Colloids” and their properties are presented, aiming at familiarizing students with this theory.

In 2004, the Universitat Polit&egrave, cnica de Catalunya decided to change one of its critical and strategic information services: the online teaching support platform. An Open Source software, Moodle, was adopted and the previous proprietary software was abandoned. In 2020, the home confinement of the population due to the pandemic caused by COVID-19 has been a stress test for the entire university community, and very specifically by those responsible for providing the support of the online teaching support platform. The increase in activity and the prospect of the generalization of online assessment raised the concerns of possible scalability issues with the quiz functionality during the examination period. The solution applied involved using Moodle&rsquo, s IMS LTI interoperability features to deploy a high-performance version of the Moodle Quizz Module As A Service (SaaS), to plug-and-play within the university&rsquo, s LMS without drawing on its internal resources. This solution combined with a systems strategy, private cloud operations, internal communication and teacher training, solved this problem and successfully complete the assessment of the university course in a situation of confinement.

In this paper, an e-Learning toolbox based on a set of fuzzy logic data mining techniques is presented. The toolbox is mainly based on the fuzzy inductive reasoning (FIR) methodology and two of its key extensions: (i) the linguistic rules extraction algorithm (LR-FIR), which extracts comprehensible and consistent sets of rules describing students&rsquo, learning behavior, and (ii) the causal relevance approach (CR-FIR), which allows to reduce uncertainty during a student&rsquo, s performance prediction stage, and provides a relative weighting of the features involved in the evaluation process. In addition, the presented toolbox enables, in an incremental way, detecting and grouping students with respect to their learning behavior, with the main goal to timely detect failing students, and properly provide them with suitable and actionable feedback. The proposed toolbox has been applied to two different datasets gathered from two courses at the Latin American Institute for Educational Communication virtual campus. The introductory and didactic planning courses were analyzed using the proposed toolbox. The results obtained by the functionalities offered by the platform allow teachers to make decisions and carry out improvement actions in the current course, i.e., to monitor specific student clusters, to analyze possible changes in the different evaluable activities, or to reduce (to some extent) teacher workload.

In this paper we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied science and engineering. It is based on the extensive use of model order reduction, and particularly, of the so-called Proper Generalized Decomposition (PGD) method. This method provides a sort of meta-modeling tool without the need for prior computer experiments that allows the user to obtain real-time response in the solution of complex engineering or physical problems. This real-time capability also allows for its implementation in deployed, touch-screen, handheld devices or even to be immersed into electronic textbooks. We explore here the basics of the proposed methodology and give examples on a few challenging applications never until now explored, up to our knowledge.

STEAM (Science, Technology, Engineering, Art, Mathematics) learning is design to promote student’s interest in learning chemistry. Integration STEAM into chemistry learning is often seen as a challenge, such as not familiar and lack of knowledge on STEAM in chemistry. Coping, for this reason, a web-based STEAM online platform was designed. This paper reports the use of design-based research (DBR) to develop a web-based STEAM online platform. The paper focuses on two studies that step on the development and validation of the platform. In an attempt to implement theoretically designed learning environments in real-world classrooms, DBR was employed as an overarching framework of inquiry. The two cycles of DBR inquiry provide deep insights into the platform’s readability, comprehensibility, and feasibility. The implementation of the framework is specified along with further implications for researchers and practitioners

©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Modern computer graphics courses require students to complete assignments involving computer programming. The evaluation of student programs, either by the student (self-assessment) or by the instructors (grading) can take a considerable amount of time and does not scale well with large groups. Interactive judges giving a pass/fail verdict do constitute a scalable solution, but they only provide feedback on output correctness. In this article, we present a tool to provide extensive feedback on student submissions. The feedback is based both on checking the output against test sets, as well as on syntactic and semantic analysis of the code. These analyses are performed through a set of code features and instructor-defined rubrics. The tool is built with Python and supports shader programs written in GLSL. Our experiments demonstrate that the tool provides extensive feedback that can be useful to support self-assessment, facilitate grading, and identify frequent programming mistakes. This work has been partially funded by the Spanish Ministry of Economy and Competitiveness and FEDER Grant TIN2017-88515-C2-1-R.

The use of mobile devices in classrooms is becoming more and more common. The introduction of these resources to produce learning is part of the mobile learning methodology. Among the possibilities of these devices provide we can find, as an emerging technology, augmented reality, which combines elements of the real world with virtual images. The purpose of this paper is to know the impact of the augmented reality in the educational cooperatives of Andalusia. In this regard, educational cooperatives are centers characterized in their origin by promoting the development of methodologies based on Information and Communication Technologies (ICT). The data collection instrument used in this questionnaire is a quantitative methodology of a descriptive nature. The questionnaire was prepared ad hoc according to the existing literature and the answers coded on a Likert scale. The results show that only a minority of teachers implement the augmented reality in their classes. In addition, there are statistically significant differences in terms of professional experience, so that younger teachers tend to implement methodologies based on the use of emerging mobile technologies such as augmented reality. Finally, it is emphasized that despite the constant technological advance of mobile devices in society, their application in the classroom occurs slowly.

The present article constitutes a systematic review of the literature with the objective of identifying the appropriate elements that must be considered when designing and creating adaptive digital educational resources. The methodological process was rigorous and systematic, employing an article search in which the texts related to the object of study were identified, selected, evaluated and analyzed. It is concluded from the analysis of the documentary corpus that the different approaches found configure a roadmap for the conceptualization of what a digital educational resource should be in order to serve as an element that contributes to learning. In this sense, an exemplary model user is proposed that considers experiences, interests and tastes, thus making it possible to strengthen the particularities of students and enhance the learning experience

The new models of teaching and learning have their focus on technology, especially on issues related to ubiquity. The impact of ICT in education generates new learning opportunities: the mobile or ubiquitous, which open new doors to technological environments that allow students to learn at any time and place, providing, in addition, tools that give the possibility to perform collaborative work and learning. The integration of a ubiquitous virtual teaching and learning environment with collaborative work forms the Ubiquitous Computer Supported Collaborative Learning model. What has been mentioned before allowed us to understand the importance of making a specification of this model that provides the possibility of using a tool for professional use in the Software Engineering during the teaching and learning processes, including the specific activities of evaluation and monitoring of works. These tools, called Computer-Aided Software Engineering, must be an active part of the uCSCL model. This integration, forms the model proposed in our work, called uCASE-CL. A prototype of the implementation of the model was developed, which we have called UAI Case. This solution is a proposal to cover the need to have tools that can be used in the teaching of the SE, and which allow the student to acquire and strengthen the academic learning.

The construction of knowledge through computational practice requires to teachers a substantial amount of time and effort to evaluate programming skills, to understand and to glimpse the evolution of the students and finally to state a quantitative judgment in learning assessment. The field of learning analytics has been a common practice in research since last years due to their great possibilities in terms of learning improvement. Both, Big and Small data techniques support the analysis cycle of learning analytics and risk of students’ failure prediction. Such possibilities can be a strong positive contribution to the field of computational practice such as programming. Our main objective was to help teachers in their assessments through to make those possibilities effective. Thus, we have developed a functional solution to categorize and understand students’ behavior in programming activities based in Scratch. Through collection and analysis of data generated by students’ clicks in Scratch, we proceed to execute both exploratory and predictive analytics to detect patterns in students’ behavior when developing solutions for assignments. We concluded that resultant taxonomy could help teachers to better support their students by giving real-time quality feedback and act before students deliver incorrectly or at least incomplete tasks.

The landscape of teaching and learning has changed in recent years because of the application of Information and Communications technology. Among the most representative innovations in this regard are Learning Management Systems. Despite of their popularity in institutional contexts and the wide set of tools and services that they provide to learners and teachers, they present several issues. Learning Management Systems are linked to an institution and a period of time, and are not adapted to learners' needs. In order to address these problems Personal Learning Environments are defined, but it is clear that these will not replace Learning Management Systems and other institutional contexts. Both types of environment should therefore coexist and interact. This paper presents a service-based framework to facilitate such interoperability. It supports the export of functionalities from the institutional to the personal environment and also the integration within the institution of learning outcomes from personal activities. In order to achieve this in a flexible, extensible and open way, web services and interoperability specifications are used. In addition some interoperability scenarios are posed. The framework has been tested in real learning contexts and the results show that interoperability is possible, and that it benefits learners, teachers and institutions.

The configuration of urban projects using Information and Communication Technologies is an essential aspect in the education of future architects. Students must know the technologies that will facilitate their academic and professional development, as well as anticipating the needs of the citizens and the requirements of their designs. In this paper, a data mining approach was used to outline the strategic requirements for an urban design project in an architecture course using a Project-Based Learning strategy. Informal data related to an award-winning public space (Gillett Square in London, UK) was retrieved from two social networks (Flickr and Twitter), and from its official website. The analysis focused on semantic, temporal and spatial patterns, aspects generally overlooked in traditional approaches. Text-mining techniques were used to relate semantic and temporal data, focusing on seasonal and weekly (work-leisure) cycles, and the geographic patterns were extracted both from geotagged pictures and by geocoding user locations. The results showed that it is possible to obtain and extract valuable data and information in order to determine the different uses and architectural requirements of an urban space, but such data and information can be challenging to retrieve, structure, analyze and visualize. The main goal of the paper is to outline a strategy and present a visualization of the results, in a way designed to be attractive and informative for both students and professionals – even without a technical background – so the conducted analysis may be reproducible in other urban data contexts.

The introduction and use of on-line learning resources has improved students learning process in several aspects. But at the same time, it also introduced more complexity and made more difficult to teachers how to analyze learning evolution and improvement of students. In this paper, we propose a first approach how to visualize and analyze student interaction with on-line learning systems and Virtual Learning Environments (VLE). We present a piece of software that collects information on the interaction of the students with the Moodle VLE and that it displays to teachers in a more analytical way. The interaction data is displayed to support teacher interpretation from a learning point of view, with the inclusion of automatically generated textual explanations about the analysis of such data.

M-learning has enhanced the e-learning by making the learning process learner-centered. However, enforcing exam security in open environments where each student has his/her own mobile/tablet device connected to a Wi-Fi network through which it is further connected to the Internet can be one of the most challenging tasks. In such environments, students can easily exchange information over the network during exam time. This paper aims to identify various vulnerabilities that may violate exam security in m-learning environments and to design the appropriate security services and countermeasures that can be put in place to ensure exam security. It also aims to integrate the resulting secure exam system with an existing, open-source, and widely accepted Learning Management System (LMS) and its service extension to the m-learning environment, namely “the Moodbile Project”.

The use of e-portfolio becomes a standard tool when it comes to learning and student's assessment. This is due to the teachers need for enhancing their students’ autonomy. The use of e-portfolio helps students to focus on their own learning process. Lectures should not be limited only to classes, but must foster active learning, and in this regard, the introduction of the e-portfolio is an excellent tool because it stimulates collaborative and cooperative work among students and, in turn, it encourages feedback by the teacher. To apply active methodologies during 2014-15, the e-portfolio was introduced in the course of Linear Algebra. To prepare the work of the e-portfolio the teacher had to define precisely the objectives that must be achieved by the students, and has had to plan in an understandable manner the tasks that the students can work independently outside the classroom. For the realization of the e-portfolio have been used different platforms. Each quarter of the students worked on a different platform, through AteneaLabs that provided templates so that each student make their own e-portfolio, as well as it provide all necessary manuals. The platforms used were: Mahara, Exabis, WordPress and Google Sites. Formative assessment of the e-portfolio had been made from different rubrics defined in the course syllabus and known by students since the beginning of the course.

The article presents a comparative analysis of learning a group of students in three different courses in the classroom mode or ‘campus’, and distance or ‘online’ using synchronous technology through web-conferencing software. The findings establish a very good perception on the part of students, who qualify very well these tools, and on the other hand, the average rating of distance learning is superior in two of the three courses to the classroom course. A questionnaire was designed to address issues concerning the adequacy of the tools in online courses to make learning efficient and secondly, to check the learning performance of students in both modes. It has obtained sufficient information to analyze in depth courses and establish conclusions on the adequacy of the means used to distance and comparative results on respect to traditional teaching. It has been found that there is a very good perception of students who qualify very well these tools and the results of student grades on-line exceed on average than those obtained in the classroom course.

El presente artículo describe una experiencia educativa usando Realidad Aumentada (RA) en dispositivos móviles para el aprendizaje de conceptos de diseño urbano en estudiantes del Grado de Arquitectura. A tal efecto, se ha diseñado un ejercicio práctico sobre la casuística de un proyecto real, donde los estudiantes deben diseñar una escultura para una plaza pública en función de los parámetros del entorno, debiendo controlar sus parámetros, la forma, escala, localización, materiales, etc. El ejercicio se visualiza y controla mediante plataformas móviles de RA, lo que permite enfatizar un aprendizaje colaborativo mediante el estudio de las propuestas del resto de estudiantes in situ. Para la evaluación del proceso, tanto a nivel de usabilidad como de mejora del proceso educativo, hemos dividido a los estudiantes en dos grupos: uno primero de control, que cursó un sistema tradicional de la asignatura en base a ejercicios de laboratorio, y un grupo experimental, que utilizó el sistema descrito en la ubicación real del proyecto. Al final del curso, y en base a los resultados obtenidos y discutidos en el presente artículo, el grupo experimental obtuvo mejores notas finales, al mismo tiempo que se constata un incremento en el grado de satisfacción y motivación de los estudiantes que han utilizado la propuesta experimental. Este aspecto nos permite reafirmar la utilidad del método en la mejora educativa en el ámbito donde se circunscribe la experiencia.

This paper presents the research work carried out by an interdisciplinary group of technologists and entertainment experts in collaboration with primary teachers to develop a serious game to work primary education-oriented competences. The serious game called “Ferran Alsina” is conceived as a tool to develop competences in the primary education program. To design this game, 25 primary school teachers helped the technical and investigative team in a co-creation activity executed with the methodology named Action-Research. This allowed the implementation of competences inside the game’s playability and narrative. This paper presents the research work carried out by an interdisciplinary group of technologists and entertainment experts in collaboration with primary teachers to develop a serious game to work primary education-oriented competences. The serious game called 'Ferran Alsina' is conceived as a tool to develop competences in the primary education program. To design this game, 25 primary school teachers helped the technical and investigative team in a co-creation activity executed with the methodology named Action-Research. This allowed the implementation of competences inside the game's playability and narrative.

The verdicts of most online programming judges are, essentially, binary: the submitted codes are either â??good enoughâ?? or not. Whilst this policy is appropriate for competitive or recruitment platforms, it can hinder the adoption of online judges on educative settings, where it could be adequate to provide better feedback to a student (or instructor) that has submitted a wrong code. An obvious option would be to just show him or her an instance where the code fails. However, that particular instance could be not very significant, and so could induce unreflectively patching the code. The approach considered in this paper is to data mine all the past incorrect submissions by all the users of the judge, so to extract a small subset of private test cases that may be relevant to most future users. Our solution is based on parsing the test files, building a bipartite graph, and solving a Set Cover problem by means of Integer Linear Programming. We have tested our solution with a hundred problems in Jutge.org. Those experiments suggest that our approach is general, efficient, and provides high quality results.

In this article we present the planning and methodology followed in order to apply virtual tutoring sessions in different subjects and universities. The Second Life environment, together with the Voki speaking avatars will be employed. It is a multidisciplinary study that includes personal and collective tutoring sessions, answering key questions through animated avatars, virtual labs, and posters exhibition for peer-evaluation. From a survey run among the students it is concluded that most of them are willing to learn and try this kind of tutoring sessions, but at the same time some feel skeptical about its utility

Wiki-like or crowdsourcing models of collaboration can provide a number of benefits to academic work. These techniques may engage expertise from different disciplines, and potentially increase productivity. This paper presents a model of massively distributed collaborative authorship of academic papers. This model, developed by a collective of thirty authors, identifies key tools and techniques that would be necessary or useful to the writing process. The process of collaboratively writing this paper was used to discover, negotiate, and document issues in massively authored scholarship. Our work provides the first extensive discussion of the experiential aspects of large-scale collaborative research.

[ES]Desde el principio de la disciplina, el eLearning ha sido un campo novedoso que ha generado nuevo software, sistemas, contenidos y herramientas con los que se está experimentando. la interoperabilidad se convierte, en este contexto, en un problema. Los sistemas consolidados y empleados regularmente tienen que ser capaces de interoperar con otros nuevos. Este artículo trata sobre cómo varias investigaciones y lproyectos de desarrollo se reunieron para encontrar una solución a este problema, proporcionando especificaciones abiertas y normas, además de ibre, implementaciones de referencia de código abierto., [EN] Since the beginning of the discipline, eLearning has been about innovation. New software, systems, contents and tools are being created and experimented with and in constant evolution. But when systems, contents and tools become successful and part of the regular infrastructure of educational institutions, interoperability becomes an issue. Systems that are consolidated and regularly used need to be able to interoperate with new ones. And the new tendencies need to fit within the current infrastructure. This paper states how several research and development projects with heterogeneous funding sources and locations worldwide, gathered together to find a solution to this common problem, providing open specifications and standards, plus Free/Libre, Open Source reference implementations.

This paper aims to explore two crucial aspects of collaborative work and learning: on the one hand, the importance of enabling collaborative learning applications to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness, feedback and support with regards to group performance and collaboration. To this end, in this paper we first propose a conceptual model for data analysis and management that identifies and classifies the many kinds of indicators that describe collaboration and learning into high-level aspects of collaboration. Then, we provide a computational platform that, at a first step, collects and classifies both the event information generated asynchronously from the users' actions and the labeled dialogues from the synchronous collaboration according to these indicators. This information is then analyzed in next steps to eventually extract and present to participants the relevant knowledge about the collaboration. The ultimate aim of this platform is to efficiently embed information and knowledge into collaborative learning applications. We eventually suggest a generalization of our approach to be used in diverse collaborative learning situations and domains.

Mobile collaborative learning is considered the next step of on-line collaborative learning by incorporating mobility as a key and breakthrough requirement. Indeed, the current wide spread of mobile devices and wireless technologies brings an enormous potential to e-learning, in terms of ubiquity, pervasiveness, personalization, flexibility, and so on. For this reason, Mobile Computer-Supported Collaborative Learning has recently grown from a minor research field to significant research projects covering a fairly variety of formal and specially informal learning settings, from schools and universities to workplaces, museums, cities and rural areas. Much of this research has shown how mobile technology can offer new opportunities for groups of learners to collaborate inside and beyond the traditional instructor-oriented educational paradigm. However, mobile technologies, when specifically applied to collaborative learning activities, are still in its infancy and many challenges arise. In addition, current research in this domain points to highly specialized study cases, uses, and experiences in specific educational settings and thus the issues addressed in the literature are found dispersed and disconnected from each other. To this end, this paper attempts to bridge relevant aspects of mobile technologies in support for collaborative learning and provides a tighter view by means of a multidimensional approach.

This article presents a novel educational software package which develops an Interactive Didactic Application(IDA) created by the Polytechnic University of Catalonia(UPC), and which contains the essentials of textile design. It is an open application which uses a database in ASCII format. The principal elements of this database are lists of whole numbers structured according to indexed colors in standard RGB format. This generates a rational system of indexes of numerical lists, which allows us to transmit knowledge in the different areas, which use images in their processes, with application in textile design, engineering graphics, mathematical transformations or indexation logic, among others. © 2010 Wiley Periodicals, Inc. Comput Appl Eng Educ 20: 161–174, 2012

Data mining algorithms have been proved to be useful for the processing of large data sets in order to extract relevant information and knowledge. Such algorithms are also important for analyzing data collected from the users' activity users. One family of such data analysis is that of mining of log files of online applications that register the actions of online users during long periods of time. A relevant objective in this case is to study the behavior of online users and feedback the design processes of online applications to provide better usability and adaption to users' preferences. The context of this work is that of a virtual campus in which thousands of students and tutors carry out the learning and teaching activity using online applications. The information stored in log files of virtual campuses tend to be large, complex and heterogeneous in nature. Hence, their mining requires both efficient and intelligent processing and analysis of user interaction data during long-term learning activities. In this paper, we present a bi-clustering algorithm for processing large log data sets from the online daily activity of students in a real virtual campus. Our approach is useful to extract relevant knowledge about user activity such as navigation patterns, activities performed as well as to study time parameters related to such activities. The extracted information can be useful not only to students and tutors to stimulate and improve their experience when interacting with the system but also to the designers and developers of the virtual campus in order to better support the online teaching and learning.

Modern on-line collaborative learning environments need to be continuously adapted, adjusted, and personalized to each specific target learning group. Moreover, these environments are to enable and scale the involvement of an increasing large number of single/group participants who can geographically be widely distributed, and who need transparently share a huge variety of both software and hardware distributed resources. As a result, collaborative learning applications need to be designed in a way that overcome important non-functional requirements arisen in distributed contexts, such as scalability, availability, interoperability, and integration of different, heterogeneous, and legacy collaborative learning systems. In this paper, an innovative distributed-based approach is presented for increasing the overall performance of collaborative learning systems that contributes to the effectiveness of the collaborative activities, such as online discussions. The experimental results show an outstanding effect on the learning processes and outcomes by enhancing and improving the learning experience a great deal.

This work is motivated by the need to develop decentralized P2P approaches to support learning and teaching activity in virtual universities.In this paper, we present the stimulation effects of the SmartBox for e-learning using JXTA-overlay P2P system. We also show the design and implementation of the SmartBox environment that is used for stimulating the learners motivation to increase the learning efficiency. The SmartBox is integrated with our P2P system as a useful tool for monitoring and controlling learners' activity. We found by experimental results thatthe SmartBox is an effective way to increase the learner's concentration. We also investigated the relation between learner's body movement, concentration, and amount of study. We found that when the learner is solving more exerciseshe has more body movements.This shows that when the number of body movements is hight,the learner's concentration is high. We also consider the feasibility of our P2P platform to integrate different computational end-devices.

In this paper, we present the experimental results and evaluation of the SmartBox stimulation device in P2P e-learning system which is based on JXTA-Overlay. We also show the design and implementation of the SmartBox environment that is used for stimulating the learners motivation to increase the learning efficiency. The SmartBox is integrated with our P2P system as a useful tool for monitoring and controlling learners' activity. We found by experimental results that the SmartBox is an effective way to increase the learner's concentration. We also investigated the relation between learner's body movement, concentration, and amount of study. From the experimental results, we conclude that the use of SmartBox is an effective way to stimulate the learners in order to continue studying while maintaining the concentration.

This work is motivated by the need to develop decentralized P2P approaches to support learning and teaching activity in virtual universities. In this paper, we present the implementation of the JXTA-based e-learning P2P system. We also show the design and implementation of a SmartBox environment that will be used for stimulating the learners to increase the learning efficiency. The proposed e-learning P2P system is a useful tool for monitoring and controlling learnerspsila activity. We evaluate the proposed system by experimental results and show that proposed system has a good performance. In the future, we aim to use it in real virtual campus environments.

In this paper, we present the design and implementation of the JXTA-based e-Learning P2P system. We also show the design and implementation of a smart box environment that will be used for stimulating the learners to increase the learning efficiency. The smart box is intended to be integrated with our P2P system as a useful tool for monitoring and controlling learners' activity. Finally, it is also useful to evaluate the feasibility of our P2P platform to integrate different computational devices

Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and during the last few years enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and motivation. In our previous work, we implemented a e-learning system that is able to increase the learning efficiency by stimulating learners motivation. In this work, we designed and implemented new functions to improve the system performance

The discussion process plays an important social task in Computer-Supported Collaborative Learning (CSCL) where participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, and justify and refine their own contributions, and as a result acquire new knowledge. Indeed, learning by discussion when applied to collaborative learning scenarios can provide significant benefits for students in collaborative learning, and in education in general. As a result, current educational organizations incorporate in-class online discussions into web-based courses as part of the very rationale of their pedagogical models. However, online discussions as collaborative learning activities are usually greatly participated and contributed, which makes the monitoring and assessment tasks time-consuming, tedious and error-prone. Specially hard if not impossible by humans is to manually deal with the sequences of hundreds of contributions making up the discussion threads and the relations between these contributions. As a result, current assessment in online discussions restricts to offer evaluation results of the content quality of contributions after the completion of the collaborative learning task and neglects the essential issue of constantly assessing the knowledge building as a whole while it is still being generated. In this paper, we propose a multidimensional model based on data analysis from online collaborative discussion interaction that provides a first step towards an automatic assessment in (almost) real time. The context of this study is a real on-line discussion experience that took place at the Open University of Catalonia

The discussion process plays an important social task in Computer-Supported Collaborative Learning (CSCL) where participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, as well as justify and refine their own contributions and thus acquire new knowledge. Indeed, learning by discussion when applied to collaborative learning scenarios can provide significant benefits for students in collaborative learning, and in education in general. However, the discussion process in the context of distance education presents high drop out in comparison to traditional programs due chiefly to a sense of isolation of participants who do not have knowledge about others nor they can compare their own progress and performance to the group. To alleviate this problem, the provision of appropriate knowledge from the analysis of on-line interaction is rapidly gaining popularity due to its great impact on the discussion performance and outcomes. This implies a need to capture and structure all types of information generated by group activity and then to extract the relevant knowledge in order to provide participants with efficient awareness and feedback as regards group performance and collaboration. As a result, it is necessary to process and analyzed complex event log files from group activity in a constant manner, and thus it may require computational capacity beyond that of a single computer. To this end, in this paper we show how a Grid approach can considerably increase the overall efficiency of processing group activity log files and thus allow discussion participants to receive effective knowledge even in real time. The context of this study is a real discussion experience that took place at the Open University of Catalonia (UOC).

User modelling in on-line distance learning is an important research field focusing on two important aspects: describing and predicting students’ actions and intentions as well as adapting the learning process to students’ features, habits, interests, preferences, and so on. The aim is to greatly stimulate and improve the learning experience. In this context, user modeling implies a constant processing and analysis of user interaction data during long-term learning activities, which produces large and considerably complex information. As a consequence, processing this information is costly and requires computational capacity beyond that of a single computer. In order to overcome this obstacle, in this paper we show how a parallel processing approach can considerably decrease the time of processing log data that come from on-line distance educational web-based systems. The results of our study show the feasibility of using Grid middleware to speed and scale up the processing of log data and thus achieving an efficient and dynamic user modeling in on-line distance learning.

The goal of this paper is to explore the possibility of using CSCL component-based software under a Grid infrastructure. The merge of these technologies represents an attractive, but probably quite laborious enterprise if we consider not only the benefits but also the barriers that we have to overcome. This work presents an attempt toward this direction by developing a generic platform of CSCL components and discussing the advantages that we could obtain if we adapted it to the Grid. We then propose a means that could make this adjustment possible due to the high degree of genericity that our library component is endowed with by being based on the generic programming paradigm. Finally, an application of our library is proposed both for validating the adequacy of the platform which it is based on and for indicating the possibilities gained by using it under the Grid.

0 0 1 148 815 USAL 6 1 962 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} In online engineering studies, the monitoring of the learning process as well as the assessment system are key aspects of teaching strategy. This paper examines a continuous assessment system with automatic feedback. It is based on Wiris Quizzes taken over the semester in a Mathematical Analysis course at the Open University of Catalonia. These tests, with parameterized statements, are completed in the Moodle environment with the symbolic calculator program Wiris (www.wiris.com). The results of the teaching experience in a virtual classroom with 65 students and the comparison with earlier semesters are clearly positive: (a) the number of students who follow continuous assessment remains stable; (b) the average of the continuous assessment marks increases considerably; (c) the number of students who fail has been reduced significantly, and (d) the satisfaction level of students regarding the subject, its contents and resources has improved notably.

The increasing graphic quality and ease of use of the current generation of videogame technology compels educators to rethink how architecture students learn. This paper presents the results of an educational experience with architecture students that explored the suitability of virtual environments as an educational tool. Students explored the simulated environment of an architectural proposal and filled a survey asking whether the experience had made them reason about some fundamental qualities of space. The results revealed that the virtual environment was capable of making students reflect on the functional, formal or material qualities of architectural spaces, suggesting a new education avenue using gamification or serious games strategies.

Mobile learning is considered the next step of online learning by incorporating mobility as a key requirement. Indeed, the current wide spread of mobile devices and wireless technologies brings an enormous potential to e-learning, in terms of ubiquity, pervasiveness, personalization, flexibility, and so on. For this reason, Mobile Learning is attracting significant research efforts covering a fairly variety of learning settings, from schools and universities to workplaces and cities. This research has evidenced that mobile technology can offer new opportunities for learners to learn inside and beyond the traditional instructor-oriented educational paradigm. However, mobile technologies are still in its infancy and many challenges arise. In this paper we analyze, from both learning and technological perspectives, the development of learning applications using mobile devices. To this end, proxy and proxy less architectures are considered as way to extend traditional virtual campuses with mobile clients. The objective is twofold: to access learning materials and to support learning activities. A prototype of a Virtual Campus is developed using MLE-Moodle -the Mobile Learning module of Moodle. The proposed Virtual Campus enables mobile clients to perform online learning activities and is a step towards achieving the “anytime, anywhere” paradigm.

The development of Information and Communication Technology (ICT), have revolutionized the world and have moved us into the information age, however the access and handling of this large amount of information is causing valuable time losses. Teachers in Higher Education especially use the Internet as a tool to consult materials and content for the development of the subjects. The internet has very broad services, and sometimes it is difficult for users to find the contents in an easy and fast way. This problem is increasing at the time, causing that students spend a lot of time in search information rather than in synthesis, analysis and construction of new knowledge. In this context, several questions have emerged: Is it possible to design learning activities that allow us to value the information search and to encourage collective participation?. What are the conditions that an ICT tool that supports a process of information search has to have to optimize the student's time and learning? This article presents the use and application of a Recommender System (RS) designed on paradigms of Collective Intelligence (CI). The RS designed encourages the collective learning and the authentic participation of the students. The research combines the literature study with the analysis of the ICT tools that have emerged in the field of the CI and RS. Also, Design-Based Research (DBR) was used to compile and summarize collective intelligence approaches and filtering techniques reported in the literature in Higher Education as well as to incrementally improving the tool. Several are the benefits that have been evidenced as a result of the exploratory study carried out. Among them the following stand out: • It improves student motivation, as it helps you discover new content of interest in an easy way. • It saves time in the search and classification of teaching material of interest. • It fosters specialized reading, inspires competence as a means of learning. • It gives the teacher the ability to generate reports of trends and behaviors of their students, real-time assessment of the quality of learning material. The authors consider that the use of ICT tools that combine the paradigms of the CI and RS presented in this work, are a tool that improves the construction of student knowledge and motivates their collective development in cyberspace, in addition, the model of Filltering Contents used supports the design of models and strategies of collective intelligence in Higher Education.

We have reached a point where mostly all Learning Management Systems provide a mature stable virtual extension or emulation of the classroom environment, well integrated with the back office and academic curriculum management. However, technology moves fast and society is keeping a good pace behind it. Smartphones and tablets have rendered obsolete the computer labs or computerized classrooms in less than 3 years since the launch of the first iPad. App Stores in all platforms -- mobile, desktop and web based- have provided ecosystems where developers of all kinds are innovating fast, creating new kinds of apps and services and iterating over new ways managing, sharing and discovering information and knowledge of all sorts. Some of this innovation is focused towards learning, and it is happening outside the Learning Management Systems and the classroom itself.

[EN] The technological support for learning and teaching processes is constantly changing. Information and Communication Technologies (ICT) applied to education, cause changes that affect the way in which people learn. This application introduces new software systems and solutions to carry out teaching and learning activities. Connected to ICT application, the emergence of Web 2.0 and its use in learning contexts enables an online implementation of the student-centred learning paradigm. In addition, 2.0 trends provide “new” ways to exchange, making easier for informal learning to become patent. Given this context, open and user-centered learning environments are needed to integrate such kinds of tools and trends and are commonly described as Personal Learning Environments. Such environments coexist with the institutional learning management systems and they should interact and exchange information between them. This interaction would allow the assessment of what happens in the personal environment from the institutional side. This article describes a solution to make the interoperability possible between these systems. It is based on a set of interoperability scenarios and some components and communication channels. In order to test the solution it is implemented as a proof of concept and the scenarios are validated through several pilot experiences. In this article one of such scenarios and its evaluation experiment is described to conclude that functionalities from the institutional environments and the personal ones can be combined and it is possible to assess what happens in the activities based on them.

As part of long-term research into interviewing users and visualizing digital artifacts, we have created a parallel archives of projects in our classroom. Ethnography helps us to discover the temporal trends of interactions with students and with the virtual environment. The outcomes expected motived us to repurpouse stories we co-create with students in a new form, retelling motivations, design, narratives, into a gaming scenario where the use of experiences become more digital and less tangible but always snapshots of their social existence.

This study aims to explore two crucial aspects of collaborative work and learning: the importance of enabling CSCL applications, on the one hand, to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness and support as regards collaboration. To this end, we first identify and define the main types of information generated in online group activity and then propose a process for efficiently embedding this information and the knowledge extracted from it into CSCL applications for awareness and feedback purposes. The conceptual model proposed finally gave rise to the design and implementation of a CSCL generic platform, called the Collaborative Learning Purpose Library (CLPL), which serves as a basis for the systematic development of collaborative learning applications and for providing full support to the mentioned process of knowledge management. (http://www.springerlink.com/content/rht6k060v67g9822/)

The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information in order to extract, reveal and provide students and tutors with valuable knowledge, awareness and feedback in order to successfully perform the collaborative learning activity. However, the large amount of information generated during online group activity may be timeconsuming to process and, hence, can hinder the real-time delivery of the information. In this study we show how a Grid-based paradigm can be used to effectively process and present the information regarding group activity gathered in the log files under a collaborative environment. The computational power of the Grid makes it possible to process a huge amount of event information, compute statistical results and present them, when needed, to the members of the online group and the tutors, who are geographically distributed. (http://www.springerlink.com/content/jduq0njlp59rf6fk/)

This document presents the use of a self-video-recording service for the integration and assessment of certain generic competences (oral and written communication, teamwork and third (English) language) in all degree programs related to the Industrial area at the Terrassa School of Engineering (EET). The resulting service allows to carry out the assessment through active and collaborative learning methodologies using ICT as a support, becoming an educational resource where students are encouraged to evaluate their own activity, individually and in groups (co-evaluation), and with which the faculty can enhance certain sections of the syllabus while also evaluating generic competences. This paper outlines the rationale and design of the system based on self-recording-video that assists work on some generic competences. A preliminary experience has taken place and it has been carried out by volunteer students and some professors from the promoting team. It consisted of following all steps to obtain the video-recording as a result and fulfil the further assessment. Preparing the defence of the final project career, explaining the way a problem is faced are examples of use of the service endowed to assist the assessment of some generic competences. A good number of students and professors have participated in this preliminary experiment carried out on some subjects and in which oral effective communication will be assessed. A specific rubric for the assessment of generic competences has been used both for students and faculty. There is a summary of qualitative feedback from both students and instructors, and where several issues related to improving the self-assessment and self-video-recording system, are discussed. Finally, a survey is proposed, whose results will be helpful for its improvement.