In his very own experiment, Martin Moore uses the Dynamic Placement Test to test if device choice affects result.
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Can you trust the results of an AI speaking test?
Can you tell the difference between the results given by a human and AI marker? Martin Moore shares the big (and not so big) differences between the two.
AI speaking assessment: How we designed a valid test
The road to our AI speaking test wasn’t a smooth one. Martin Moore lays out the trials, tribulations and triumphs of developing the Dynamic Speaking Test.
HOPES LEB Online learning for refugees: An analysis of project outcomes
Atlas English shares their findings from their project with HOPES LEB, improving the prospects for vulnerable youth and refugees in Lebanon.
What do we mean by a ‘valid’ test?
Everyone wants a test to be valid. But what is validity and how do you tell if a test is valid or not?
Item analysis: How reliable is your test?
This post explains what item analysis is, how we use it, and what you’ll find in a robust and reliable test.
Corporate training: Streamlining English language testing
English language testing is crucial in the petroleum industry. This is how one training organisation found the most suitable placement test.
Why an adaptive test is the only answer
At the ELITE conference in Malang, Indonesia last week Dr Adrian Raper explained why a placement test must be adaptive. This is a summary of his talk.
Placement tests: Can your choice of device affect your result?
No one wants to be disadvantaged during a test. Here is a reminder of what students can expect when taking the Dynamic Placement Test on different devices.
Internationalising an English test
Can we, and should we, make English tests more international? Andrew Stokes explores the possibilities.