Measuring language learning using standardized score scales and adaptive assessment engines

A system for adaptively assessing a language learning of a user configured to:

• retrieve a random item pattern comprising a sequence of question types, wherein at least one question type is a multiple choice type of question and at least one question type is a fill in the blank type of question;
• repeat the steps, at least once, of:
• sequentially select a first next question type in the random item pattern,
• select a first assessment item from a database of a plurality of calibrated assessment items, wherein the first assessment item matches the first next question type in the random item pattern and matches the overall language skill of the user,
• modify the user interface to present the first assessment item to the user,
• generate a first score for a response from the user to the first assessment item, and
• update an overall language skill of the user and a conditional standard error of measurement for the overall language skill of the user based on the first score,
• until the conditional standard error of measurement for the overall language skill of the user is less than a predetermined threshold;
• and
• determine a future language lesson of appropriate difficulty for the user based on the recorded overall language skill of the user.

A method, comprising the steps of:

• displaying by a hardware server a user interface on a client device to a user;
• searching by the hardware server in a first database for a history of the user;
• estimating by the hardware server an overall language skill of the user based on the history of the user in the first database, a difficulty level of a product being used by the user and/or an initial response to an initial assessment item displayed on the user interface to the user;
• generating by the hardware server a random item pattern comprising a sequence of question types, wherein at least one question type is a multiple choice type of question and at least one question type is a fill in the blank type of question;
• sequentially for each item in the random item pattern:
• selecting by the hardware server a first next question type in the random item pattern,
• selecting by the hardware server a first assessment item from a second database of a plurality of calibrated assessment items, wherein the first assessment item matches the first next question type in the random item pattern and matches the overall language skill of the user,
• modifying the user interface to present by the hardware server the first assessment item on the client device to the user,
• generating by the hardware server a first score for a first response from the user to the first assessment item, and
• updating by the hardware server an overall language skill of the user and a conditional standard error of measurement for the overall language skill of the user based on the first score;
• and
• determining a future language lesson of appropriate difficulty for the user based on the recorded overall language skill of the user.