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In the context of European Higher Education students face an increasing focus on independent, individual learning—at the expense of face-to-face interaction. Hence learners are, all too often, not provided with enough opportunities to negotiate in the target language. The current case study aims to address this reality by going beyond conventional approaches to provide students with a hybrid game-based app, combining individual and collaborative learning opportunities. The 4-week study was carried out with 104 German language students (A1.2 CEFR) who had previously been enrolled in a first-semester A1.1 level course at a Spanish university. The VocabTrainerA1 app—designed specifically for this study—harnesses the synergy of combining individual learning tasks and a collaborative murder mystery game in a hybrid level-based architecture. By doing so, the app provides learners with opportunities to apply their language skills to real-life-like communication. The purpose of the study was twofold: on one hand we aimed to measure learner motivation, perceived usefulness and added value of hybrid game-based apps; on the other, we sought to determine their impact on language learning. To this end, we conducted focus group interviews and an anonymous Technology Acceptance Model survey (TAM). In addition, students took a pre-test and a post-test. Scores from both tests were compared with the results obtained in first-semester conventional writing tasks, with a view to measure learning outcomes. The study provides qualitative and quantitative data supporting our initial hypotheses. Our findings suggest that hybrid game-based apps like VocabTrainerA1—which seamlessly combine individual and collaborative learning tasks—motivate learners, stimulate perceived usefulness and added value, and better meet the language learning needs of today’s digital natives. In terms of acceptance, outcomes and sustainability, the data indicate that hybrid game-based apps significantly improve proficiency, hence are indeed, effective tools for enhanced language learning.

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SUMMARYSoftware process engineering is a discipline, which aims to study and improve software development and maintenance processes. The explicit definition of software processes is essential. To this end, the Object Management Group consortium proposed the Software & Systems Process Engineering Meta-Model (SPEM) that exploits the benefits of the Model Driven Architecture paradigm applied to software process models, instead of software specification models. The aim of this study is to discover evidence clusters and evidence deserts in the use and application of SPEM from a business process management point of view. To reach the proposed objective, we have undertaken a systematic mapping study of the existing scientific literature.The reviewed literature deals mainly with process modeling and, to a lesser extent, with process adaptability, verification, and validation, enactment and evaluation. Wide agreement exists in using the SPEM meta-model to develop different types of methods and processes. Further research efforts are needed in areas related to enactment and evaluation of software processes. There is a need to evolve to a new version of the meta-model that incorporates the improvements proposed by different authors.

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Sharing patient datasets curated by health institutions is critical for the advance of monitoring, surveillance and research. However, patient data is sensitive data and it can only be released under certain conditions and with previous explicit consent. Privacy preserving data sharing provides techniques to distribute datasets minimizing the risk of identification of patients. However, the sharing of datasets is typically done without considering the needs or requests of data consumers. Blockchain technologies provide an opportunity to gather those requests and share and assemble datasets using privacy-preserving methods as data and requirements on anonymity match. The architecture and design of such a solution is described, assuming an underlying permissioned blockchain network where providers such as healthcare institutions deal with consent, patient preferences and anonymity guarantees, playing a mediator role to a network of organizations.

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