We believe that artificial intelligence (AI), machine learning and natural language processing are going to have a massive impact on ELT, and probably more rapidly than many might expect. A fascinating example of this is a new product from Cambridge called Write & Improve, which aims to provide automated help with writing. Diane Nicholls is one of the team behind the product, and we asked her to tell us more about it. In this in-depth interview, Diane talks about how the system works and, perhaps even more interestingly, how it was developed and what was learned in the process. We think it encapsulates a lot of where ELT is heading – both in what the product itself is trying to do, but also in the way the project has brought together the worlds of ELT, academic research and technology in a way we haven’t seen before.
The second of a two-part series, by Scott Thornbury
Textbooks, generally speaking, don’t score high on the originality stakes. And for good reason.
The first of a two-part series, by Scott Thornbury
Learning linguistic items is not a linear process – learners do not master one item and then move on to another. In fact, the learning curve for a single item is not linear either. The curve is filled with peaks and valleys, progress and backslidings.
The debate over whether royalties for ELT authors are on the way out is raging on the conference circuit and in various corners of the Web. It’s clear that some kind of change is afoot within the industry, but it’s unclear yet just how extensive that change will be, especially for established authors. Here at eltjam, we thought now would be a good time to look at a couple of important issues related to fee-based ELT materials writing, especially on digital projects.
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