CN112102122A - Student extracurricular reading supervision method and system based on electronic books - Google Patents
Student extracurricular reading supervision method and system based on electronic books Download PDFInfo
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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
Technical Field
The invention relates to the field of electronic books and teaching, in particular to an out-of-class reading supervision method for students based on electronic books.
Background
Reading is the basis of all disciplines of learning, and is the foundation stone with improved language literacy. The promotion of the literacy of the language has no convenient way, only roaming in the book sea, and roaming in the text, long-term accumulation in extensive reading. Thus, the necessity of reading out of class is self evident. In-class reading is the basis, and out-of-class reading is the supplement and is the promotion. Students need to develop good habits of reading outside class from childhood, read widely, have a wide visual field, and form the foundation for literacy binding of Chinese. In the big background of people's reading, electronic books and paper media books have become two reading modes coexisting at present. The electronic books are used as a new out-of-class reading mode for students, have the advantages of the paper media books, and are suitable for physical and mental development of the students.
The prior art is named as follows: a reading monitoring method, a computing device and a computer storage medium; application number 202010247047.3 discloses a reading monitoring method, which includes acquiring user reading behavior data collected and reported by a first client to a pre-established buried point; performing data detection on the reading behavior data of the user to determine whether the user corresponding to the first client has abnormal reading behavior; and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result. According to the scheme provided by the invention, the reading behavior data generated by the real operation of the user and collected and reported by the client to the pre-established buried point is obtained, so that whether the user has abnormal reading behavior can be accurately analyzed. The problems that exist are that: the reading requirements of primary and secondary school students are not combined, the abnormity is collected only by considering the reading speed, and some requirements such as comments and the like exist in the reading process and need to be comprehensively considered, so the invention needs to be improved.
Disclosure of Invention
1. The technical problem to be solved is as follows:
aiming at the technical problems, the invention provides an out-of-class reading supervision method for students based on electronic books, which can effectively realize the supervision of out-of-class reading of the students.
2. The technical scheme is as follows:
an out-of-class reading supervision method for students based on electronic books 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.
Further, the step of 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 length of reading last time-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: number of words between adjacent page turning behaviors/(time interval of adjacent page turning behaviors-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.
Further, the method further includes receiving a reading pause instruction, obtaining a pause time interval, and calculating a reading speed between adjacent page turning behaviors of the current 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 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.
Further, the facial features of the user during the reading are obtained, whether the comparison is carried out with the facial features of the previous non-abnormal reading behavior is detected, and if the comparison of the facial features is not similar or does not have the facial features, abnormal reading is generated.
Furthermore, the manager can inquire the reading abnormity data generated by the auditing and modify the conclusion of the reading abnormity.
Further, the manager can set the reading speed, and the number of annotations for each reading.
A student extracurricular reading supervision system based on electronic books comprises a last non-abnormal reading module, a present 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.
3. Has the advantages that:
(1) 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.
(2) The invention also adopts the self-carried equipment of the electronic equipment such as images, gravity and the like to collect the data of the user; the acquisition of the image can automatically acquire and compare the facial features of the user to judge whether the reading is abnormal or not; the gravity sensor and the position sensor can facilitate a manager to acquire the reading behavior of the user, and provide reference for the specification of the reading behavior.
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FIG. 1 is a flow chart of the present invention;
fig. 2 is a flowchart of determining an abnormality of reading behavior data according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1 to 2, an out-of-class reading supervision method for students based on electronic books includes:
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 comments during reading.
Acquiring physical data of user equipment; the physical data includes real-time image data, gravity sensor data of the device, 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.
Further, the step of 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 length of reading last time-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: number of words between adjacent page turning behaviors/(time interval of adjacent page turning behaviors-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.
Further, the method further includes receiving a reading pause instruction, obtaining a pause time interval, and calculating a reading speed between adjacent page turning behaviors of the current 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 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.
Further, the facial features of the user during the reading are obtained, whether the comparison is carried out with the facial features of the previous non-abnormal reading behavior is detected, and if the comparison of the facial features is not similar or does not have the facial features, abnormal reading is generated.
Furthermore, the manager can inquire the reading abnormity data generated by the auditing and modify the conclusion of the reading abnormity.
Further, the manager can set the reading speed, and the number of annotations for each reading.
A student extracurricular reading supervision system comprises a last non-abnormal reading module, a present reading module and a comparison 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 comparison module is used for comparing the previous non-abnormal reading data with the current data.
A student extracurricular reading supervision method system based on electronic books comprises a last non-abnormal reading module, a present 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.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
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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| Application Number | Priority Date | Filing Date | Title |
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| CN202010812043.5A CN112102122A (en) | 2020-08-13 | 2020-08-13 | Student extracurricular reading supervision method and system based on electronic books |
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| CN202010812043.5A CN112102122A (en) | 2020-08-13 | 2020-08-13 | Student extracurricular reading supervision method and system based on electronic books |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393348A (en) * | 2021-06-22 | 2021-09-14 | 读书郎教育科技有限公司 | System and method for assisting students in completing new class mark reading requirements |
| WO2023098623A1 (en) * | 2021-12-03 | 2023-06-08 | 北京字跳网络技术有限公司 | Information processing method and apparatus, and electronic device and storage medium |
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