Números Publicados > Volumen y Número

Title- Scope and limitations of Open Assessment: an ICT- based Case Study.

Abstract- The article describes the results of a study that presents Open Assessment as an innovative educational practice, mediated by Information and Communications Technologies (ICT). Also, it describes the implementation of an experience of Open Assessment in higher education, as a study case. Results showed that Open Assessment are well accepted by students due to the adaptability and flexibility of time and space for testing, as it was also possible to demonstrate that the responsibility and maturity of the student play an important role to improve the learning process derived from this type of evaluation, making it formative by nature.

Index Terms- Open educational practices, open assessment, open educational resources, learning environment, e-learning.

Title- Teaching Image Processing in Engineering using Python.

Abstract- This paper describes the experience lived in the Faculty of Basic Sciences and Engineering of Universidad de Los Llanos referred to the application of Project Based Learning PBL-ABP as a strategy for teaching Image Processing in undergraduate students of engineering. Through this, learners are able to complement their readings and lectures, to process and manipulate images and to build their own Image Processing Tools using Python programming language. This paper shows some projects resulting from the application of the methodology and using the key concepts of image processing and pattern analysis.

Index Terms- Engineering, Image Processing, Learning, Project, Software.

Title- An architecture for a learning analytics system applied to efficient driving

Abstract- Transport companies are probably one of the greatest sources of pollution nowadays. Maybe because these companies would like to improve this situation, or maybe because they simply would like to reduce the petrol they consume, they are more than ever deploying plans in order to increase the efficiency of their fleets. One of the easiest and cheapest ways to increase this efficiency is to teach their drivers how to be more efficient. Nevertheless, traditional learning approaches were only successful on the short term according to previous work. In order to achieve long term results, new learning paradigms must be taken into account. Furthermore, if we combine these paradigms with a learning analytics system, we may achieve optimal results for both the company and the drivers. In this paper we present a learning analytics system applied to the efficient driving context. This learning analytics system is used as a fundamental piece in the deployment of the blended learning methodology for efficient professional driving designed by our research group. We describe the design and the integration of this system with a real product used nowadays in many transport fleets. With a technical approach, we also describe the main problems found during the deployment of this system and the solutions designed to cope with these problems.

Index Terms- Data warehouses, business data processing, learning systems, vehicle driving, energy efficiency.

Title- From the analysis of learning to its improvement: challenges and opportunities.

Abstract- Learning analytics (LA) is a multidisciplinary area of research where education, statistics, and technology experts collaborate with other disciplines to get insights from learning data sets. This involves a continuous cycle of gathering data from teachers' and students' interactions, filtering and translating it to proper formats, using a wide range of analysis techniques and starting again after taking advantage from results found. Considering the variety of expertise involved, the need of sharing knowledge and experiences is highlighted in relevant forums such as the Learning Analytics and Knowledge (LAK) Conference. The same happens at Spanish level with the Learning Analytics Summer Institute (LASI-Spain) and the Spanish Network of Learning Analytics-(SNOLA).Research works presented in this special issue show the ability of analysing and improving learning and teaching processes through LA. These three papers address different educational challenges such as assessing massive collaborative projects, evaluating the accessibility and usability of open educational resources and mapping them with the IMS Caliper standard, and using social network analysis to evaluate the socio-regulation skills among students.

Index Terms- Learning analytics, education, social network analysis

Title- New learning possibilities in massive collaborative projects with learning analytics: a case study.

Abstract- One way to improve the education of our students is to promote the creation of massive collaborative projects. These projects, also seen as learning products, would also help to better scale our learning experiences (Massive Open Online Courses-MOOCs) and generate collective value from the hours and cognitive efforts invested doing academic work. But the complexities to assess those projects are challenging. This requires to develop new monitoring and feedback systems for these kind of projects. This article presents an exploratory analysis for applying learning analytics methodologies based on social networks analysis, factorial analysis, k-means clustering and "naive" Bayes algorithms.

Index Terms- Active learning, Big data, collaborative projects, learning analytics, MOOC.

Title- Academic social networks and Learning Analytics to find out about self-regulated learning: a case study.

Abstract- Social networks have become a new form of communication which allow students to share and collaborate. In that sense they have become allied with self-regulated learning skills (SRL). This paper presents an experience at the University of Santiago de Compostela to analyze how the SRL is developed in a course that uses a social network. In this research, were used: 1-MSLQ questionnaire Pintrich. [1]; 2- social network analysis techniques (SNA) in the framework of Learning Analytics. The results show that pedagogy encouraged students to interact and create a rich environment for developing self- regulated learning skills.

Index Terms- Social network, Learning Analytics, Self- Regulated Learning.

Title- Co-creation and evaluation of Inclusive and Accessible Open Educational Resources: a mapping towards the IMS Caliper.

Abstract- The aim of this paper is to introduce a model to co-create and evaluate Inclusive and Accessible Open Educational Resources (IA-OERs) towards the perspective of the IMS Caliper Analytics Framework. The model was applied by 72 teachers of primary and secondary schools who co- created and evaluated IA-OERs in the context of the validation phase of the Inclusive Learning Project. The evaluation of the IA-OERs covered two aspects: web accessibility and quality. Moreover, an accessibility dashboard was developed to display graphics of the results obtained from the web accessibility evaluation.

Index Terms- Inclusive and Accessible Open Educational Resources, Co-creation, IMS Caliper Analytics framework, web accessibility and quality.