For Teachers
The loneliness of the public school TESOL professional
In this post, I summarize several feelings of loneliness and isolation I’ve felt upon shifting my 13-year career in TESOL…
Category: For Teachers
For Teachers
Sentence Imitation for Incidental Learning of Academic Language
The need to teach grammar without making students bored Through teaching in mostly East-Asian EFL contexts, and more recently having…
For Teachers
The Power of Recognizing Patterns
Nearly everything can be reduced to a pattern. In science, researchers aim to find models that fit phenomena in the…
For Teachers
A Quick Collocations Activity using ChatGPT
I used to scour the internet to find example sentences that used the vocabulary I was teaching. Usually dictionary websites…
For Teachers
Helping newcomer MLLs find their voice in English with a Translated Sentence Scramble task
Rather than allowing their minimal English ability to limit what they can communicate, this method takes away the limitations by…
For Teachers
On the nonlinearity of lesson planning (Part 2)
I previously wrote that when lesson planning, often a great idea comes when we least expect it: right before going…
For Teachers
On the Nonlinearity of Lesson Planning (1 of 2)
How much time does it take to plan a lesson? Well, assuming the lesson plan is not just doing what…
For Teachers
Thoughts about vocabulary sort tasks for content-area words
A sorting task is a nice way to have learners work with vocabulary and help acquisition. Working with vocab leads…
For Teachers Research
NLP & CALL: 2 fields that haven’t really merged yet?
NLP = Natural Language Processing CALL = Computer-assisted Language Learning NLP makes chunks to help businesses make money… In another…
For Teachers Materials Research
Automated chunking of text (for learners, not search algorithms)
With natural language processing techniques, text can be tokenized into sentences and words, and these can be “chunked” according to…