IATEFL 2018 Herdon & Dilger: Lexical sets are history
IATEFL 2018 Conference Reports |
IATEFL 2018 Conference Reports
Tim Herdon and Andrew Dilger (OUP)
Lexical sets are history: insights from vocabulary research
To celebrate the launch of How Vocabulary is Learned (Webb, & Nation, OUP, 2017), Tim Herdon and Andrew Dilger, editors at OUP, presented some findings in the field of vocabulary research that are directly relevant to classroom practice.
This is my (slightly grumpy) first tweet from the workshop. Why start a well-informed, entertaining and highly practical workshop with something that almost sounded like an apology for its research focus?
This is my (slightly grumpy) first tweet from the workshop. Why start a well-informed, entertaining and highly practical workshop with something that almost sounded like an apology for its research focus?
Vocabulary Size
How to estimate your vocabulary size
1. Count how many of the 50 words in the table you know.
2. Multiply by 500 to get your approximate vocabulary size.
1. Count how many of the 50 words in the table you know.
2. Multiply by 500 to get your approximate vocabulary size.
The vocabulary size of Native Speakers (NSs) is approximately:
- Pre-literate children: 3,000 – 4,000
- Ten-year-olds: 8,000 – 9,000
- Educated adults: 15,000 – 20,000
The presenters made the point that multiple encounters are necessary for vocabulary acquisition and growth and there simply aren’t enough classroom hours to teach our learners all the vocabulary they need. They illustrated this with a mathematical example, shown in the slide below. The typical situation for EFL learners with 3-4 hours of English class a week might be to learn 15-25 words per week. At this rate, it would take them 15-30 years to acquire the vocabulary size of an educated adult (15,000 – 20,000 words).
We therefore need to encourage learner autonomy in order to maximise learners’ exposure. Vocabulary can be learnt by paying deliberate attention, or by repeated exposure.
Autonomous vocabulary learning
The presenters describe the Matthew Effect: a kind of ‘virtuous cycle’, or the idea that success breeds success. Learners who successfully implement vocabulary learning strategies are encouraged to learn even more, and so on successively. Possible strategies for autonomous vocabulary learning are suggested in the following slide.
The Matthew Effect |
Commonly-held assumptions
The workshop also challenged some of the commonly-held assumptions about vocabulary learning:
Quick assumption check 1
In the following slide, which group of words would be easier to learn?
Quick assumption check 2
The two groups of words are both presented in lexical sets, but which would be easier to memorise?A B
apple apple
orange banana
peach melon
The answer is B, because these words are visually distinct. In group A, the words are all items that resemble each other in size, colour and category, etc.
Quick assumption check 3
Here are two groups of unrelated words, that are an equal level of (in)frequency. Which of these would be easier to remember?A B
abhor lick
boulder mourn
crave pawn
sob reef
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The answer in this case is A, because all the words in this group have a high frequency synonym, which makes it easier to ‘store’ the item in the memory:
abhor - hate
boulder – rock
crave – want
sob - cry
The presenters suggest the following criteria for assessing the effectiveness of a vocabulary learning technique.
And they recommend the following activities:
In conclusion, the key points made in this workshop to maximise learners’ vocabulary acquisition and growth:
Sad indeed that they should need to preface the talk with a justification for the research focus, but we can but hope that a continual drip, drip of reminders will convert those who feel research should 'be left to researchers'. Thanks for these write-ups - very interesting and useful. :)
ReplyDeleteTotally agree. These summaries are meant to be objective, but I couldn't resist that observation - there's almost a need to be apologetic for the use of the R word.
DeleteThanks for the positive feedback.