SUMMARYAutomatically detecting a learner's stalled situation or deadlock in an educational support system using computers is very useful. This paper proposes a method for detecting such a deadlock on the basis of the record of a learner's operations and evaluates it by tests on human subjects. Specifically, it uses the moving variance of the operational time intervals to detect a deadlock. As a result, in about 80% of the practice problems with self-declarations of a deadlock by the subjects, the deadlock could be detected at a point in time prior to the self-declarations. In addition, deadlocks were detected by the proposed method in three cases in which states close to a deadlock had been determined from questions after the completion of the practice problems, even though there were no self-declarations.
The objective of the present study is to improve teacher efficiency so that large numbers of students can be educated, while at the same time implementing an individual approach to education in which each student's progress is taken into account. To achieve this objective, we propose an education system for groups of students at a similar stage of learning. With this system, CAI is used to help individual students to learn by themselves and networks are used to constantly monitor their progress. Then students who reach an impasse are grouped according to their learning progress. The teacher can then provide a supplementary lesson for the whole group, thus improving his or her efficiency. Moreover, we undertook on education experiment for 2 teacher subjects and 10 student subjects using proposed system. The teacher work rate results indicated that a single teacher using this system to teach approximately 20 students can provide efficient supplementary lesson to plateau-status students, even when students diverge from each other in terms of progress.
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