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Wood, Peter – CALICO Journal, 2011
"QuickAssist," the program presented in this paper, uses natural language processing (NLP) technologies. It places a range of NLP tools at the disposal of learners, intended to enable them to independently read and comprehend a German text of their choice while they extend their vocabulary, learn about different uses of particular words,…
Descriptors: Foreign Countries, Educational Technology, German, Natural Language Processing
Berns, Anke; Gonzalez-Pardo, Antonio; Camacho, David – Computers & Education, 2013
This paper presents our recent experiences with the design of game-like applications in 3-D virtual environments as well as its impact on student motivation and learning. Therefore our paper starts with a brief analysis of the motivational aspects of videogames and virtual worlds (VWs). We then go on to explore the possible benefits of both in the…
Descriptors: Educational Games, German, Second Language Instruction, Language Tests
Kartal, Erdogan; Uzun, Levent – Turkish Online Journal of Distance Education, 2010
In the present study we call attention to the close connection between languages and globalization, and we also emphasize the importance of the Internet and online websites in foreign language teaching and learning as unavoidable elements of computer assisted language learning (CALL). We prepared a checklist by which we investigated 28 foreign…
Descriptors: Check Lists, Second Languages, Global Approach, Second Language Learning
Strobl, Carola; Jacobs, Geert – Computer Assisted Language Learning, 2011
In this article, we set out to assess QuADEM (Quality Assessment of Digital Educational Material), one of the latest methods for evaluating online language learning courseware. What is special about QuADEM is that the evaluation is based on observing the actual usage of the online courseware and that, from a checklist of 12 different components,…
Descriptors: Foreign Countries, Electronic Learning, Video Technology, Feedback (Response)
Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction

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