Learning Analytics @ UC3M

Proceedings of: 2013 IEEE Global Engineering Education Conference (EDUCON) 13-15 March 2013, Berlin (Germany).Feedback is important for any activity, and learning is no exception. Whereas assessment can give summative feedback about the proficiency of the learning, learning analytics can give a much finer level of feedback about the learning process. Learning analytics can help in identifying the effectiveness of learning elements, can help in engaging students, can guide teachers in the preparation and deployment of the teaching activity. In this paper, we present a number of different initiatives carried out at UC3M that include elements of learning analytics for different purposes.The eMadrid Excellence Network is being funded by the Madrid Regional Government (Comunidad de Madrid) with grant No. S2009/TIC-1650. We wish to acknowledge stimulating discussions with our partners in the context of the network. Partial support has also been received from the EEE project (TIN2011-28308-C03-01)

The Construction of Care in Computed Tomography. Exploring Care from the Perspective of Patients and Radiographers

Purpose: Patient centred care and the ‘patient voice’ are core components of UK healthcare policy and practice guidance. This study explores how care is perceived and experienced within the high technology environment of CT. Methods and Materials: A two-phase approach of Critical Discourse Analysis (CDA) and adapted Grounded Theory (GT) methodology using semi structured interviews, was used to obtain primary data from CT radiographers and patients. Recruitment and data collection were performed at a 1200 bed teaching hospital over a 6-month period. Results: The radiographer patient relationship and the radiographer’s role in providing care within CT are complex and multifaceted. Both patients and radiographer’s perceive CT imaging to be an integral part of the overall patient care and treatment pathway. As such, the act of being imaged is perceived as a care process and while image acquisition is recognised as a task orientated and technical process, the human element of providing care is cognitive, dynamic and responsive to individual need. Importantly, patient confidence in the care received was influenced by the radiographer’s ability to build a trusting relationship and display technical competence and this in turn facilitated active compliance resulting in a technically accurate examination. Despite previous literature suggesting that the technical environment created a barrier to patient care, patients within this study confirmed that radiographers provide care commensurate to the nursing ideals represented by the 6C’s (Care; Compassion; Competence; Communication; Courage; Commitment). Conclusions: A co-constructed model of care encompassing both technical components and patient-centeredness has been identified. This model promotes a new vision of patient centred care based on care perceptions within the high technology environment of CT

System software model based on Learning Analytics techniques as a tool to support decision making at public educational institutions

Modelo De Un Sistema De Software Basado En Las Técnicas De Learning Analytics Como Herramienta De Apoyo En La Toma De Decisiones Académico-Administrativas En Las Instituciones Públicas De Educación Superior.The latest attention that Learning Analytics has received, in part is because it encounters hidden patterns in educational data that once is processed and integrated into a specific case of use, offers to stakeholders assistance to improve their task into educational context. Due to it highly application, Learning Analytics techniques are integrated into a Decision Support System proposed to help administrators to develop decision making process and collaterally enhance student performance. In this paper, is defined a Decision Support System and how it has been use in educational institutions; is presented the functionalities of Learning Analytics and presented a survey of how can be integrated to produce a Learning Decision Support System to help faculty or department administrators to improve their decision impact in the academic community.cid