Abstract: A client machine receives Web data including a learning material part from a learning server in an e-Learning center to display it as an Web page. The Web page includes a circle graph that represents the intelligibility of all learners who studied the learning material and a pair of bar graphs that represent the ratio of the achievers in the finishers who could not understand the learning material. A learner can make use of the status information represented by the graphs to his or her learning. After attending the learning material part, a learner clicks an “Understood” button or a “Not Understood” button to inform one's intelligibility to the learning server.

Abstract: A learner clicks “Understood” button when he or she could understand a learning material or clicks “Not Understood” button when he or she could not understand. When the “Not Understood” button is clicked, the learning server machine transmits an explanation choice information to display a Web page including a knowledge tree that shows a structure of the learning material. The Web page contains headings of explanations and choosing ratios as end-nodes of the knowledge tree. The explanation describes the learning material in detail. The choosing ratio is a ratio of each of the explanations chosen by learners who attended the same lecture using the same learning material.

Abstract: Learning materials each of which consists of learning material units are stored in a learning material DB. Keywords corresponding to the respective learning materials are stored in the learning material evaluating table. A keyword-unit table defines which learning material units include the respective keywords. A learner clicks an Understood button when the learner understand the current unit. After the learner finishes to attend the current learning material, the keywords corresponding to the units in which the Understood button was clicked are specified based on the keyword-unit table. A learning material whose keywords are in the best agreement with the keywords specified is selected as a learning material to improve ability of the learner in the strong field based on the learning material evaluating table. In the same manner, a learning material to supplement the weak field is selected based on a history of clicks of a Not Understood button.

Abstract: When a client computer informs that a learner cannot understand the current learning material unit, a server computer specifies keywords linked with the current learning material unit that is attended by the learner as a first keyword set and specifies keywords linked with one of the learning material units that are already attended by the learner as a second keyword set. The server computer extracts keywords that are common between the first and second keyword sets as a selectable keyword set and transmits a list of keywords within the selectable keyword set to the client computer. When the client computer informs the keyword chosen by the learner, the server computer specifies the learning material unit that corresponds to the keyword chosen by the learner based on the keyword information and resends the specified learning material unit to the client computer.

Abstract: Learning materials each of which consists of learning material units are stored in a learning material DB. Keywords corresponding to the respective learning materials are stored in the learning material evaluating table. A keyword-unit table defines which learning material units include the respective keywords. A learner clicks an Understood button when the learner understand the current unit. After the learner finishes to attend the current learning material, the keywords corresponding to the units in which the Understood button was clicked are specified based on the keyword-unit table. A learning material whose keywords are in the best agreement with the keywords specified is selected as a learning material to improve ability of the leaner in the strong field based on the learning material evaluating table. In the same manner, a learning material to supplement the weak field is selected based on a history of clicks of a Not Understood button.

Abstract: When a client computer informs that a learner can not understand the current learning material unit, a server computer specifies keywords linked with the current learning material unit that is attended by the learner as a first keyword set and specifies keywords linked with one of the learning material units that are already attended by the learner as a second keyword set. The server computer extracts keywords that are common between the first and second keyword sets as a selectable keyword set and transmits a list of keywords within the selectable keyword set to the client computer. When the client computer informs the keyword chosen by the learner, the server computer specifies the learning material unit that corresponds to the keyword chosen by the learner based on the keyword information and resends the specified learning material unit to the client computer.

Abstract: A learner clicks “Understood” button when he or she could understand a learning material or clicks “Not Understood” button when he or she could not understand. When the “Not Understood” button is clicked, the learning server machine transmits an explanation choice information to display a Web page including a knowledge tree that shows a structure of the learning material. The Web page contains headings of explanations and choosing ratios as end-nodes of the knowledge tree. The explanation describes the learning material in detail. The choosing ratio is a ratio of each of the explanations chosen by learners who attended the same lecture using the same learning material.

Abstract: A client machine receives Web data including a learning material part from a learning server in an e-Learning center to display it as an Web page. The Web page includes a circle graph that represents the intelligibility of all learners who studied the learning material and a pair of bar graphs that represent the rate of the achievers in the finishers who could not understand the learning material. A learner can make use of the status information represented by the graphs to his or her learning. After attending the learning material part, a learner clicks an “Understood” button or a “Not Understood” button to inform one's intelligibility to the learning server.