Lin baowei (林 宝尉)


Computer-Supported Self-Questioning Exercises and Its Authoring




It is a learning strategy that guides a student performance before during and after a task performance.

Example 1: Readers pose questions what they understand to improve the retention.

Example 2: Readers pose questions what they not yet understand to improve the comprehension.

Example 3: Readers pose questions what are not given directly in the text. (the answer is came out by analyzing the whole contect)


It can improve the students awareness and control of their thinking. This in turn improves their performance.

It improves long time retention of knowledge and skills.

It can improve the ability to apply and transfer knowledge and skills what the student learns.

It improves attitude and motivation.


Step 1: Attend to Clues as you read.

Step 2: Say some questions.

Step 3: Keep Predictions in Mind

Step 4: Identify the answer.

Step 5: Talk about the answer.


Mr. Kunichika’

s system have four functions such as:

To understand English sentences

To generate various kinds of question sentences automatically

To select a suitable question for a learner from a set of generated question sentences

To analyze learner's answer sentences and to diagnose errors


For Teacher’s Authoring Model

Input the learning materials to ‘Automated question generation system’ to generate questions and answers.

To modify the sentences from 1 and to save the sentences into database.

To view the categorization of the questions’ type.

To select the clue words for student’s self-questioning model.

To select the clue words for student's self-questioning model.

For Student’s Self Questioning Model


The text is as following:

John had breakfast at eight this morning. Then he went to West Park on a blue bicycle.

He sat on a white bench in the park. There was a red bicycle near the small bench.

Step 1: Teacher should prepare the text firstly.

Step 2: learners select a clue word what he feel interesting about from the clue list.

John had breakfast at eight this morning......

Step 3: Based on the selected word, system generate all of the possible questions and its answers.

Then support the interrogative pronoun to learner. (technique of automated generation system)

Who had breakfast this morning?

---john had breakfast this morning.

Who went to west park on a blue bicycle?

---john went to west park on a blue bicycle.

What kind of bench did john sit on?

---it is a kind of white bench.

When did john had breakfast?

---john had breakfast at eight this morning.

Where is the white bench?

---it is in the park.

learner select one of the interrogative pronoun what he/she would like to.

here the system support the words as:

who , when, where, what

Step 4: If there are more than one interrogative pronouns exist,

system should support the sub words to learner to be selected.

here the system support the words as:

Breakfast, West Park

Step 5: System support the related words based on selected words, and

learner construct question sentence with the supported words.

so the generation words now are:

at, this, had, eight, morning, breakfast, who

Step 6: ①learner selects and manages the words to generate the question sentence.

②Then compare the question to the already exist one in the system.

③Give the feedback to the learner.

At last, the question should be:

----Who had breakfast at eight this morning?




The evaluation experiment of the system

To add the technique of NLP (nature language processing)

1.Support lively feedbacks for learners

2.Add ‘why’ questions to perfect the categories of questions

3.Add the automatically analyzing and diagnosis functions to reduce the workload of teacher