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Blended Learning for Emergent CALL: Navigating Intelligent Tutor Systems and NLP Advancements

Uncover the future of Blended Learning in CALL with a focus on Intelligent Tutor Systems (ICALL), Natural Language Processing (NLP), Machine Translation, Speech Recognition, and 3-D Graphics. Discover confident predictions for next-generation CD-ROM dictionaries, Vodcasts, Animation, E-beam technology, and more. Predip Almodovar addresses key issues on investment and training, offering a Win-Win approach for stakeholders. Take action now by reading the book, downloading free bulletins, enrolling in training courses, subscribing to TE4BE newsletter, or contributing to the CALL Review. Editor: Pete Sharma.

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Blended Learning for Emergent CALL: Navigating Intelligent Tutor Systems and NLP Advancements

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Presentation Transcript

  1. Blended Learning The future

  2. Emergent CALL • Intelligent tutor systems (ICALL – computer tutors) • NLP - Natural Language Processing • (ambiguity) • Machine – translation • Speech recognition

  3. Confident predictions • Next generation of CD-ROM dictionaries • Vodcasts (mp4) • Animation - 3-D graphics • E-beam (tablet on wall)

  4. Predip Almodovar

  5. Issues • Investment • Training • Win – win for stakeholders • ‘Beyond the wow factor’

  6. What to do now? • Read the book! • Download the free bulletins

  7. Take a training course

  8. Subscribe to te4be newsletter

  9. Subscribe tothe e-lesson

  10. Read or contribute to the CALL Review Editor: Pete Sharma

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