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Supporting Blended-Learning: tool requirements and solutions with OWLish., , , and . Interact. Learn. Environ., 24 (6): 1176-1197 (2016)TANDO: A Corpus for Document-level Machine Translation., , , , , , , , and . LREC, page 3026-3037. European Language Resources Association, (2022)Blending traditional teaching methods with learning environments: Experience, cyclical evaluation process and impact with MAgAdI., , , and . Comput. Educ., (2013)Authoring and Diagnosis of Learning Activities with the KADD ET Environment., , , , and . J. Univers. Comput. Sci., 11 (9): 1530-1542 (2005)Open Student Models to Enhance Blended-Learning., , , , , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 685-686. Springer, (2012)Experiences in Visualizing the Analysis of Blended-Learning Interactions to Support Teachers., , , , and . ICALT, page 265-266. IEEE Computer Society, (2011)Helping Teachers to Track Student Evolution in a B-Learning Environment., , , , and . ICALT, page 342-346. IEEE Computer Society, (2009)MAGADI: a Blended-Learning Framework for Overall Learning., , , , and . AIED, volume 200 of Frontiers in Artificial Intelligence and Applications, page 557-564. IOS Press, (2009)MINTZAI: Sistemas de Aprendizaje Profundo E2E para Traducción Automática del Habla., , , , , , , , , and 2 other author(s). Proces. del Leng. Natural, (2020)QUALES: Estimación Automática de Calidad de Traducción Mediante Aprendizaje Automático Supervisado y No-Supervisado., , , , , , , , , and 2 other author(s). Proces. del Leng. Natural, (2018)