CN112102122A - Student extracurricular reading supervision method and system based on electronic books - Google Patents

Abstract

The invention discloses a student extracurricular reading supervision method and system based on electronic books, which comprises the steps of obtaining reading behavior data generated by a user in the reading process; the reading behavior data comprises one or more of total reading time length of a single time, total reading word number, time interval of adjacent page turning behaviors and postil during reading; acquiring physical data of user equipment; the physical data comprises real-time image data, gravity sensor data of the equipment and position sensor data; and detecting the reading behavior data and the physical data of the user, judging whether abnormal behaviors exist, and generating abnormal reading data and abnormal reading conclusion. The invention has the beneficial effects that: the method and the device have the advantages that the comparison between the adjacent page turning data read this time and the non-abnormal reading data read last time is more comparative, a manager can manage the user conveniently, and meanwhile self-supervision is facilitated.

Description

A method and system for students' extracurricular reading supervision based on electronic books

technical field

The invention relates to the fields of electronic books and teaching, in particular to a method for supervising students' extracurricular reading based on electronic books.

Background technique

Reading is the foundation of all subject learning, and it is also the cornerstone for the improvement of Chinese literacy. There is no convenient way to improve language literacy, only by wandering in the sea of books, wandering in the text, and accumulating in extensive reading. As a result, the necessity of extracurricular reading is self-evident. In-class reading is the foundation, and extra-curricular reading is a supplement and an improvement. Students should develop a good habit of extracurricular reading from an early age, read widely, broaden their horizons, and lay the foundation for the formation of Chinese literacy. In the context of national reading, electronic books and paper books have become two ways of reading that coexist at present. Among them, e-books, as a new way for students to read outside the classroom, have the advantages that paper-based books do not have, and adapt to the physical and mental development of students.

Prior art, the title of the invention is: reading monitoring method, computing device and computer storage medium; the application number is 202010247047.3, which discloses a reading monitoring method, including obtaining the user's reading behavior collected and reported by the first client to the pre-created buried points data; perform data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if it is determined that the user corresponding to the first client has abnormal reading behavior, an abnormal reading result is generated. The solution provided by the invention can accurately analyze whether the user has abnormal reading behavior by acquiring the reading behavior data generated by the user's actual operation collected and reported by the client on the pre-created buried point. Existing problems: The reading requirements of primary and secondary school students are not considered, and the abnormality is only considered from the reading speed. Usually, there are some annotations and other requirements in the reading process that need to be comprehensively considered, so the present invention needs to be improved.

SUMMARY OF THE INVENTION

1. Technical problems to be solved:

In view of the above technical problems, the present invention provides a method for supervising students' extracurricular reading based on electronic books, which can effectively realize the supervision of students' extracurricular reading.

2. Technical solution:

A method for supervising students' extracurricular reading based on e-books, including the following steps:

Obtain the reading behavior data generated by the user during the reading process; the reading behavior data includes the total duration of a single reading, the total number of words read, the time interval between adjacent page-turning behaviors, and one or more annotations during reading;

Obtain physical data of the user equipment; the physical data includes real-time image data, gravity sensor data of the device, and position sensor data;

Detect user reading behavior data and physical data, determine whether there is abnormal behavior, and generate abnormal reading data and abnormal reading conclusions.

Further, judging the abnormality of reading behavior data specifically includes the following steps:

Step 11: Obtain the average reading speed of the last reading; the details of obtaining the average reading speed of the last reading are: obtaining the total duration of the last reading, the total number of words read, the total number of words in the annotation, and the time used in the annotation; calculate the last reading The average reading speed of , that is: total words read / (total reading time of last reading - time used for annotation).

Step 12: Obtain the time interval of adjacent page-turning behaviors of this reading, the number of words between adjacent page-turning behaviors, and the time used for annotation between adjacent page-turning behaviors; calculate the adjacent page-turning behaviors of this reading The reading speed between adjacent page-turning actions, namely: the number of words between adjacent page-turning actions/(the time interval between adjacent page-turning actions - the time used for annotation between adjacent page-turning actions).

Step 13: Compare the difference between the average reading speed of the previous reading and the reading speed of the adjacent page-turning behavior of the current reading; if the difference is outside the preset range, the current reading is defined as abnormal.

Step 14: Perform steps 12 to 13 for each adjacent page-turning behavior of the current reading until the reading behavior ends.

Further, it also includes receiving the reading pause instruction, obtaining the time interval of the pause, then calculating the reading speed between the adjacent page-turning behaviors of this reading in step 12, that is: the number of words between adjacent page-turning behaviors/( The time interval between adjacent page turning behaviors—the time used for annotation between adjacent page turning behaviors—pause time); the total last reading time is the total last reading time minus the time interval of the last pause.

Further, acquire the facial features of the user during the current reading and detect whether it is compared with the facial features of the last non-abnormal reading behavior. If the facial features are not similar or do not have the facial features, an abnormal reading is generated.

Further, it also includes that the administrator can query the abnormal reading data generated by the audit, and revise the conclusion of the abnormal reading.

Further, the administrator can set the reading speed and set the number of annotations for each reading.

An extracurricular reading supervision system for students based on electronic books, comprising a last non-abnormal reading module, a current reading module, and a cache module; the last non-abnormal reading module is used to establish reading data of the previous non-abnormal reading; the The current reading module is used to establish the reading data of the current reading; the cache module is used to store the comparison data between the last non-abnormal reading data and the current data.

3. Beneficial effects:

(1) The present invention uses the adjacent page-turning data of the current reading to compare with the non-abnormal reading data of the last time, which is more contrastive, which not only facilitates the administrator to manage users, but also facilitates self-supervision.

(2) The present invention also uses the equipment that comes with the electronic equipment such as images and gravity to collect the user's data; the image collection can automatically collect and compare the user's facial features to determine whether the reading is abnormal; the gravity sensor, and the The location sensor can facilitate the administrator to obtain the user's reading behavior and provide a reference for whether the reading behavior is standardized.

Description of drawings

Fig. 1 is the flow chart of the present invention;

FIG. 2 is a flow chart for judging abnormality of reading behavior data according to the present invention.

Detailed ways

The present invention will be described in detail below with reference to the accompanying drawings.

As shown in Figures 1 to 2, a method for supervising students' extracurricular reading based on electronic books, comprising:

The reading behavior data generated by the user during the reading process is obtained; the reading behavior data includes the total duration of a single reading, the total number of words read, the time interval between adjacent page-turning behaviors, and one or more annotations during reading.

Obtain physical data of the user equipment; the physical data includes real-time image data, gravity sensor data of the device, and position sensor data.

Detect user reading behavior data and physical data, determine whether there is abnormal behavior, and generate abnormal reading data and abnormal reading conclusions.

Further, judging the abnormality of reading behavior data specifically includes the following steps:

Step 11: Obtain the average reading speed of the last reading; the details of obtaining the average reading speed of the last reading are: obtaining the total duration of the last reading, the total number of words read, the total number of words in the annotation, and the time used in the annotation; calculate the last reading The average reading speed of , that is: total words read / (total reading time of last reading - time used for annotation).

Step 12: Obtain the time interval of adjacent page-turning behaviors of this reading, the number of words between adjacent page-turning behaviors, and the time used for annotation between adjacent page-turning behaviors; calculate the adjacent page-turning behaviors of this reading The reading speed between adjacent page-turning actions, namely: the number of words between adjacent page-turning actions/(the time interval between adjacent page-turning actions - the time used for annotation between adjacent page-turning actions).

Step 13: Compare the difference between the average reading speed of the previous reading and the reading speed of the adjacent page-turning behavior of the current reading; if the difference is outside the preset range, the current reading is defined as abnormal.

Step 14: Perform steps 12 to 13 for each adjacent page-turning behavior of the current reading until the reading behavior ends.

Further, it also includes receiving the reading pause instruction, obtaining the time interval of the pause, then calculating the reading speed between the adjacent page-turning behaviors of this reading in step 12, that is: the number of words between adjacent page-turning behaviors/( The time interval between adjacent page turning behaviors—the time used for annotation between adjacent page turning behaviors—pause time); the total last reading time is the total last reading time minus the time interval of the last pause.

Further, acquire the facial features of the user during the current reading and detect whether it is compared with the facial features of the last non-abnormal reading behavior. If the facial features are not similar or do not have the facial features, an abnormal reading is generated.

Further, it also includes that the administrator can query the abnormal reading data generated by the audit, and revise the conclusion of the abnormal reading.

Further, the administrator can set the reading speed and set the number of annotations for each reading.

An extracurricular reading supervision system for students, comprising a last non-abnormal reading module, a current reading module, and a comparison module; the last non-abnormal reading module is used to establish reading data of the previous non-abnormal reading; the current reading module Used to establish the reading data of this reading; the comparison module is used to compare the last non-abnormal reading data with the current data.

An electronic book-based extracurricular reading supervision method system for students, comprising a last non-abnormal reading module, a current reading module, and a cache module; the last non-abnormal reading module is used to establish reading data of the previous non-abnormal reading; The current reading module is used to establish the reading data of the current reading; the cache module is used to store the comparison data between the last non-abnormal reading data and the current data.

Although the present invention has been disclosed above with preferred embodiments, they are not intended to limit the present invention. Any person skilled in the art can make various changes or modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be defined by the protection scope of the claims of the present application.

Claims (7)

1. A student extracurricular reading supervision method based on electronic books is characterized in that: the method comprises the following steps:

acquiring reading behavior data generated by a user in a reading process; the reading behavior data comprises one or more of total reading time length of a single time, total reading word number, time interval of adjacent page turning behaviors and postil during reading;

acquiring physical data of user equipment; the physical data comprises real-time image data, gravity sensor data of the equipment and position sensor data;

and detecting the reading behavior data and the physical data of the user, judging whether abnormal behaviors exist, and generating abnormal reading data and abnormal reading conclusion.

2. The method for supervising the reading of students outside the class based on electronic books according to claim 1, wherein: the method for judging the reading behavior data abnormality specifically comprises the following steps:

step 11: acquiring the average reading speed of the last reading; the average reading speed of the last reading is obtained specifically as follows: acquiring the total reading time, the total reading word number, the total annotating word number and the time used in annotating; the average reading speed of the last reading is calculated, namely: total number of words read/(total reading duration of last reading-time used for annotation):

step 12: acquiring the time interval of adjacent page turning behaviors of the reading, the number of words between the adjacent page turning behaviors and the time for annotation between the adjacent page turning behaviors; calculating the reading speed between adjacent page turning behaviors of the current reading, namely: the number of words between adjacent page turning behaviors/(the time interval between adjacent page turning behaviors-the time taken for annotation between adjacent page turning behaviors);

step 13: comparing the reading average speed of the last reading with the reading speed difference between the adjacent page turning behaviors of the current reading; if the difference value is out of the preset range, the reading is defined as abnormal;

step 14: and (5) performing the steps from step 12 to step 13 on each adjacent page turning behavior of the reading until the reading behavior is finished.

3. The method for supervising the reading of students outside the class based on electronic books according to claim 2, wherein: the reading behavior data further includes that a reading pause instruction is received, a pause time interval is obtained, and then the reading speed between adjacent page turning behaviors of the current reading is calculated in step 12, that is: the number of words between adjacent page turning behaviors/(the time interval between adjacent page turning behaviors-the time taken for annotation between adjacent page turning behaviors-the pause time); the total reading time length of the last time is the total reading time length of the last time minus the time interval of the last pause.

4. The method for supervising the reading of students outside the class based on electronic books according to claim 1, wherein: and obtaining the facial features of the user during the reading of the time through the real-time image number, comparing the facial features with the facial features of the non-abnormal reading behaviors at the last time, and generating an abnormal reading conclusion if the facial feature comparison is not similar or the facial features are not available.

5. The method for supervising the reading of students outside the class based on electronic books according to claim 1, wherein: the manager can inquire and review the reading abnormal data generated when the reading abnormal conclusion is generated, and modify the reading abnormal conclusion.

6. The method for supervising the reading of students outside the class based on electronic books according to claim 1, wherein: the manager can preset the reading speed and set the number of the annotations read each time.

7. A student extracurricular reading supervision method system based on electronic books is characterized in that: the reading device comprises a last non-abnormal reading module, a current reading module and a cache module; the last non-abnormal reading module is used for establishing reading data of last non-abnormal reading; the reading module is used for establishing reading data of the reading; the cache module is used for storing the comparison data of the previous non-abnormal reading data and the current data.

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