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Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires–postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict knowledge change based on in‐game student interactions. We have tested this approach in a case study for which we have conducted preexperiments–postexperiments with 227 students playing a previously validated serious game on first aid techniques. We collected student interaction data while students played, using a game learning analytics infrastructure and the standard data format Experience API for Serious Games. After data collection, we developed and tested prediction models to determine whether knowledge, given as posttest results, can be accurately predicted. Additionally, we compared models both with and without pretest information to determine the importance of previous knowledge when predicting postgame knowledge. The high accuracy of the obtained prediction models suggests that serious games can be used not only to teach but also to measure knowledge acquisition after playing. This will simplify serious games application for educational settings and especially in the classroom easing teachers' evaluation tasks. Lay Description: What is currently known about the subject matter Serious games are a powerful tool to engage, motivate, and help students learn.Pre‐post experiments are commonly used to measure knowledge acquisition.Game learning analytics can be applied to interaction data from games. What this paper adds We present a two‐step approach combining game learning analytics and data mining to predict players' performance in serious games based on their interactions.The approach is tested in a case study with pre‐post experiments collecting interaction data with 227 students playing a serious game to determine if performance can be accurately predicted.The comparison of prediction models has helped to determine if pretest information is essential.The highly accurate prediction models obtained suggest that games can be used to teach and measure knowledge acquisition after playing. Implications of study findings for practitioners The approach aims to simplify the measurement of players' learning with serious games.It may be generalized at least to similar scenarios (e.g., games for procedural learning or game‐likesimulations) where similar interaction data are feasible.Game mechanics and educational design should define the interaction data to capture.Using an accepted standard tracking profile is a clear recommendation. [ABSTRACT FROM AUTHOR]

The adoption of Information and Communication Technologies in early childhood education is crucial for adapting traditional classrooms to the digital era. Over time, young children are increasingly using touch screen technologies such as tablets at home and in early childhood settings. However, the literature shows that there is a significant gap in knowledge of using this technology in early childhood education. Most researchers have focused on the pedagogical theory behind using touch screen devices, but there have not been many empirical studies about how these technologies affect students' learning processes. This paper presents three learning experiences where early childhood students perform educational activities using tablet computers, interactive whiteboards, and paper cards. The results show that students who used the technology were more motivated and achieved better results that those who used paper cards. Lay Description: What is already known about this topic: The use of ICT in childhood education offers new possibilities for teachers to provide new and more visual digital learning content to their students.Touch technologies seem suitable for young students. Because their motor skills are not fully developed yet, interacting with computers through a mouse and a keyboard is more difficult than doing it through natural gestures.There are many studies in higher education levels that demonstrate that proper use of ICT in education can lead to an increase of the students' motivation and learning. What this paper adds: Three empirical studies in three different childhood education classrooms to shed some light about how ICT can impact positively students learning.A comparison of interactive whiteboards and tablet computers benefits regarding more traditional methodologies in childhood education.Insights about how hardware and software can be combined to provide students a suitable learning environment in childhood education classrooms. Implications for practice and/or policy: Teachers should consider how they will create the workgroups. It is highly advisable to create heterogeneous groups taking into account the students' skills. This way, members of the same group can help each other, creating a richer learning scenario.Several teachers who participated in our studies said that they were not able to use ICT in their classrooms because they did not have enough digital competences. Our studies and the results obtained led them consider integrating technology in their classrooms. The good results obtained by the students who worked with technology changed the teachers' perspective about the use of technology in the classroom.Students showed a great interest in the use of tablet computers and interactive whiteboards, which translated into higher motivation compared with the students who solved the activities on paper. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives Transcatheter aortic valve implantation constitutes an example of a technology introduced into the Galician Health Care System basket and subjected to a post-introduction observational study after coverage. This paper aims to describe the process and results of this experience, illustrating the main challenges and opportunities in using these studies for supporting decision making. Methods The study protocol was developed by a multidisciplinary team consisting of experts from the Galician HTA Agency (avalia-t), interventional cardiologists and cardiac surgeons. Together they agreed on the information that was relevant and feasible for collection, and planned the study design, data collection and analysis of results. Results During the 1-year recruitment period, 94 patients underwent percutaneous aortic valve replacement in the three authorized centres. Implantation rate and prosthesis models differed substantially across the centres. Overall, procedural success rate was 96.8% and hospital mortality was 7.4%. Complications during post-surgical admission were recorded in 40.4% of patients. Moderate residual aortic regurgitation was observed in 10% of patients, and the procedure was associated with a stroke rate of 3.3% at 30 days and 5.3% at 1 year. Conclusions Post-introduction observation has made it feasible to determine the use of this procedure within the SERGAS context and has enabled the assessment of performance in real-life conditions. The proposed strategic actions and interventions have been drawn up based upon the collective judgement of a group of experienced professionals, and have served to establish recommendations on further research that would be required to optimize health benefits. [ABSTRACT FROM AUTHOR]