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Download full textAkhlaghi, Elham; Baczkowska, Anna; Berthelsen, Harald; Bédi, Branislav; Chua, Cathy; Cucchiarini, Catia; Habibi, Hanieh; Horváthová, Ivana; Hvalsøe, Pernille; Lotz, Roy; Maizonniaux, Christèle; Chiaráin, Neasa Ní; Rayner, Manny; Tsourakis, Nikos; Yao, Chunlin – Research-publishing.net, 2021
A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts, with annotations typically including embedded audio and translations, to support L2 learning through reading. An important question is how to create the audio, which can be done either through human recording or by a Text-To-Speech (TTS) synthesis…
Descriptors: Educational Quality, Computer Assisted Instruction, Audio Equipment, Comparative Analysis
Toledo, Amalia; Botero, Carolina; Guzmán, Luisa – Open Praxis, 2014
In this paper, the authors identify and analyze public policy and the investment and expenditure that the governments of Argentina, Chile, Colombia, Paraguay and Uruguay commit to make in the development and procurement of textbooks, books and digital content for primary and secondary education (K-12). The aim is to identify and propose a roadmap…
Descriptors: Foreign Countries, Expenditures, Educational Resources, Open Source Technology
Zervas, Panagiotis; Sampson, Demetrios G.; Aristeidou, Maria – International Association for Development of the Information Society, 2012
Over the past years, several Open Educational Resources (OERs) initiatives have been emerged worldwide aiming to create, share and reuse digital educational resources among educational communities. As a result, organizing, offering and accessing these resources over the web have been key issues for both the research and the educational community.…
Descriptors: Foreign Countries, Open Source Technology, Indexing, Motivation
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
