CN106203635A - A kind of on-line study behavior puts into data collection and transmission and method - Google Patents
A kind of on-line study behavior puts into data collection and transmission and method Download PDFInfo
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Abstract
A kind of on-line study behavior puts into data collection and transmission and method, is broadly divided into learning behavior and puts into data acquisition module, on-line study behavior analysis and put into computing module and visualization characterization result output module；Learning behavior puts into data acquisition module and includes obtaining learner and the study interactive information of education resource, learning outcome information and Knowledge Construction information；By developing algorithm and analysis model, the information got processed and characterizes, exporting multidimensional analysis result with visual pattern.The present invention is applied to the general learning platform with study interacting activity, it is achieved that learning behavior puts into pure naturalness collection and the automated analysis of data, may advantageously facilitate learner mutual with the degree of depth of learning content；Learner can understand the study Input Level of oneself at any time, strengthens learning cognition targeted specifically and puts into, it is thus achieved that preferably learning effect.
Description
Technical field
The invention belongs to learning data collection and analysis field, specifically, be that a kind of on-line study puts into data acquisition
With the method for analysis, the method is naturally to gather behavior input data based on learning activity is pure, it is achieved that learning behavior puts into number
According to automated analysis, be applied to on-line study behavior put into characterize with assessment.
Background technology
The 35th the Internet report display issued according to CNNIC (CNNIC), by 2014
December, China's netizen's scale reaches 6.49 hundred million, and Internet penetration is 47.9%, it can be seen that network has become in our life
An indispensable part, learning behavior networking the most progressively becomes current development trend.E-learning behavior refers to study
Person that founded by modern information technologies, have in the academic environment of brand-new communication mechanism and affluent resources, that carries out is long-range
Autonomic learning behavior (Peng Wenhui, Yang Zongkai, Huang Kebin. e-learning behavior analysis and scale-model investigation [J] thereof. China's electrification religion
Educate, 2006, (10): 31-35.).E-learning behavior is closely related with learning effect, therefore studies adopting of network learning behavior
Collection and analysis mode, contribute to being best understood from Web-based Learners feature, formulate learning strategy targetedly, carry out science
Learning of evaluation, it is provided that effective Learning Support Service, thus reach effectively to learn.
The collection of on-line study behavioral data has been done numerous trial with analysis by researcher, and Peng Wenhui (2012) is by learner
Online learning behavior point synchronous AC, asynchronous discussion, line of questioning, access resource, on-line testing, submission operation, examine online
Examination etc., and use its learning behavior OCCP proposed (operation behavior layer, cognitive behavior layer, cooperative behaviors layer and Resolving probiems row
For layer) disaggregated model e-learning behavior is analyzed (Peng Wenhui. e-learning behavior analysis and modeling [D]. Central China is pedagogical
University, 2012.).Lina WANG (2011) e-learning behavior is divided into learner and education resource personalized interaction behavior and
The social interbehavior of learner and learning community, and mutual and three levels pair of concept interaction from operating interactive, information
E-learning behavior carry out classified description with evaluate (Lina WANG. e-learning behavior analysis and evaluate [D]. Shaanxi Normal University,
2009.).On-line study behavior, for guiding, is divided into face by three targets that marshal (2011) evaluates with on-line study behavior analysis
To learning outcome evaluation, facing cooperation study analysis and object platform use analyze three classes, mainly to browse various teaching resource,
Forum posts, in forum the behavior such as money order receipt to be signed and returned to the sender and teacher exchange, online notes, on-line testing, submission operation be evaluated
(marshal. on-line study behavior analysis is evaluated and applied research [D]. Central China Normal University, 2011.).Li Nian (2007) thinks
The object of on-line study behavior analysis mainly have often the URL of click, the keyword of search, access the type of information and frequency,
Residence time, the topic of discussion, the instrument of use, the content of courseware, the exercise completed, stage test, school grade, enquirement
And the number of times answered a question etc. (Li Nian. evaluation model based on e-learning behavior analysis research [D]. Central China Normal University,
2007.).The internet behavior of learner is divided unidirectional study and interactive learning behavior by Yang Xiaoli et al. (2010), single
The learning behavior of tropism includes clicking on course resources, browsing to hold within the class period and submit operation on-line testing etc., interactive learning behavior to
Post including forum, course forum money order receipt to be signed and returned to the sender etc. (Yang Xiaoli, Dong Junmin. the statistical analysis of School Network student's online learning behavior
And countermeasure [J]. high correspondence course journal (philosophy and the social sciences version), 2010,06:66-68+71.).Sun Ying et al. (2008)
Mainly investigated courseware VOD, course forum posts, course forum money order receipt to be signed and returned to the sender, on-line testing, online discussion etc. e-learning row
For (Sun Ying, Cheng Hua, Wan Hao. Distance Learners online learning behavioral study [J] based on data mining. Distance Education in China,
2008,05:44-47.)。
Study puts into and is made up of behavior (Behavior), emotion (affective) and cognitive (cognitive) three aspects
(Furlong M J,Whipple A D,Jean G S,et al.Multiple contexts of school
engagement:Moving toward a unifying framework for educational research and
practice[J].The California School Psychologist,2003,8(1):99-113.).Learning behavior is thrown
Enter reflection is level of effort and the school work performance of study, and the such as course rate of attendance, the degree of participation of classroom learning, task completes
Positive relationship (Avenilla F R.Assessing the is there is between situation, and learning behavior input and scholastic achievement
links between emotional and behavioral school engagement and academic
outcomes among high school students[D].The Pennsylvania State University,
2003.23-23).Latent abilities puts into and refers to that student completes and learns the emotion that showed in relevant task.Study
Cognition devotion refer to student to oneself, school, teacher and the perception of classmate and conviction (such as self efficacy, scholastic motivation), with
And in study the use (Cognitive strategy use) of cognitive strategy, focused attention (attention), complete task
(mastery task), challenging job is liked the (peace such as (Preference for the challenging task s)
Know mirror, Cheng Cheng, Sun Jiaojiao. the Review Study [J] put into about Students ' Learning. human resource management (scholarly edition), 2009 (5):
210-212.)。
Outside Present Domestic, the collection of online learning data and analysis are mainly limited to shallow hierarchy behavior, are seldom deep into cognition
Input aspect；Meanwhile, ignoring the input that learning content is contributed by learner, the collection of data is also primarily only from technical standpoint
Inquire into the mode following the tracks of, analyzing the various operation behaviors of network user, as by database access record and Web daily record literary composition
The analysis of part, research learning operation behavior (Hummel K A, Hlavacs H.Anytime, anywhere learning
behavior using a web-based platform for a university lecture[C].Proceedings
Of the SSGRR 2003Winter Conference, L ' Aquila, Italy.2003.), lack and examine from the visual angle of study
Consider.
Summary of the invention
The technical problem to be solved in the present invention is: solves current on-line study behavioral data acquisition mode and is confined to Logo day
Will, analyzes the shortcoming that dimension focuses on shallow hierarchy behavior, it is provided that a kind of on-line study behavior based on learning activity puts into data
Naturally gather and automatic analysis method.This method collection and analyze dimension comprehensive, it is achieved that behavior put into data calculating with
Characterizing, learner can analyze, by checking, Knowledge Map, access radar map and the attitude trendgram generated, and grasps individual in time
Study Input Level, adjusts progress, promotes that the degree of depth puts into, obtain good learning effect.
The technical solution adopted for the present invention to solve the technical problems is: a kind of on-line study behavior put into data acquisition with
Characterizing method, the method includes that learning behavior puts into data acquisition flow process, analyzes model construction flow process and visualization characterization result
Output flow process；Specifically comprise the steps of
Step (1) learning behavior puts into data acquisition flow process and includes that the study obtaining learner and education resource is believed alternately
Breath, learning outcome information and Knowledge Construction information；With the interactive information of education resource, learner refers to that learner is at learning process
In the information mutual with education resource, be that learner dynamically generates in learning process；Learning outcome information refers to learner pair
The grasp state of learned resource content；Knowledge Construction information refers to the contribution information that education resource is made by learner；
Step (2) design gathers on-line study behavior and puts into the learning activity model of data；
Step (3) builds on-line study behavior analysis and puts into computation model；
Study interactive information, learning outcome information and the Knowledge Construction information that step (4) input nature gathers, various types of
The weights of type information and on-line study behavior analysis with put into computation model, obtain the on-line study Input Level of learner；
Step (5) repeats aforementioned four step and calculates the study Input Level of different learner, forms the individual of learner
Knowledge Map, platform access radar map and learning attitude trendgram, wherein the pentagon in Knowledge Map represent grasp poor, four
Limit shape represents that grasp is general, circular and represents that grasp is good.
Further, the interactive information of the learner in described step (1) and education resource includes browsing, collects, orders
Read, cooperate, comment on, mark, vote and download；Learning outcome information includes testing score, study self-examination, contents concept figure and
Exercises product；Learners' knowledge construction information includes the editor of education resource, annotates, uploads and share.
Further, the learning activity model gathering on-line study behavior input data in described step (2) includes base
This attribute, learning target, resource and instrument, learning outcome and learning of evaluation information.
Further, the on-line study behavior analysis built in described step (3) includes knowledge with putting into computation model
Grasp state, platform access situation and three dimensions of learning attitude level, wherein mastery of knowledge's state representation learner is to knowledge
Grasping level, by study interaction data, learning outcome data and Knowledge Construction data are calculated；Platform access
Situation characterizes the utilization rate of learner module each to platform, by calculating study interaction data and Knowledge Construction data
Go out；Learning attitude level characterizes the input change in learner each stage, by calculating study interaction data.
The principle of the present invention is: the method for the present invention is broadly divided into learning behavior and puts into data acquisition flow process, analyzes mould
Type builds flow process and visualization characterization result output flow process；Learning behavior puts into data acquisition flow process and includes obtaining learner and
Practise the study interactive information of resource, learning outcome information and Knowledge Construction information；The information got is passed through algorithm process
And model construction, the formation personal knowledge map of representative learning person mastery of knowledge's state, representative learning person module each to platform make
Access radar map and representative learning person each stage by rate put into the attitude trendgram changed, it is achieved learning behavior puts into data
Pure naturalness collection and automated analysis.
The present invention having the beneficial effect that compared with prior art
(1) present invention is based on learning activity, it is achieved on-line study behavior puts into the pure naturalness collection of data with automatic
Fractional analysis so that the behavior of acquisition puts into data more overall scientific, it is ensured that the primitiveness of data, reliability, it is possible to true
The Input Level of reflection learner.
(2) the behavior input data of the inventive method collection include learning interactive information, learning outcome information and knowledge
Construction information, be not concerned only with behavior put into produce object information, and pay attention to the interaction data information in learning process and
Learners' knowledge construction data message.
(3) learner personal knowledge grasp state is characterized, with radar by the inventive method with the form of Knowledge Map
The form of figure accesses situation to learner personal platform and characterizes, and becomes learner personal attitude's stage with the form of trendgram
Change and characterize, there is directly perceived, distinct effect.
(4) the visualization characterization result of the present invention uses HTML5 and JavaScript language to realize, due to HTML5 language
Can conveniently realize response type layout so that characterization result view can adapt to various sizes of terminal screen.
Accompanying drawing explanation
Fig. 1 is that the present invention a kind of on-line study behavior puts into data collection and transmission and the flow chart of method；
Fig. 2 is the flow chart that learning behavior of the present invention puts into data acquisition module；
Fig. 3 is the learning activity illustraton of model of the present invention；
Fig. 4 is that the present invention visualizes characterization result output module；
Fig. 5 is the visualization result figure of student of the present invention；
Fig. 6 is the visualization result figure of teacher of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings and detailed description of the invention is discussed in detail the present invention.
As it is shown in figure 1, the present invention includes that described system includes mobile terminal, computer；Described computer run online
Learning behavior puts into data collection and transmission, and described on-line study behavior puts into data collection and transmission and includes study
Behavior puts into data acquisition module, on-line study behavior analysis and puts into computing module and visualization characterization result output module.
It is implemented as follows as in figure 2 it is shown, learning behavior of the present invention puts into data acquisition module:
(1) teacher designed in learning platform by mobile terminal or computer need student to complete learning tasks, set
Putting the quality evaluation standard of learning tasks, described learning tasks follow learning activity model, by taskId task ID,
CreateTime create the time, creatorId founder, the beginTime time started, the endTime end time,
Description description, goalLevel target rank, resourceId resource ID, toolId appliance id,
KnowledgePoint knowledge point, moduleId module I D field store, and the quality evaluation standard of described learning tasks is led to
Cross evaluativeId standard ID, passingScore passing score, createTime create time, creatorId founder
Field stores, and learning tasks are associated with quality evaluation standard by taskId, evaluativeId field and stored；
(2) student pass through mobile terminal or computer participation in learning, complete teacher design learning tasks, described during
Naturally generate study interaction data by taskId, studentId learner ID, interactiveType type of interaction,
StartTimestamp mutual time started, finishTimestamp field of mutual deadline are stored in system database；
(3) the study interaction data type in described (2) includes comment on, marks, votes, tests score, study is introspected, interior
Hold concept map, study works, edit, annotate, semantic association, browse, collect, subscribe to, cooperate, download, upload, 16 kinds
Type, pass sequentially through remark, assessment, vote, testScore, reflection, conceptMap, work,
edition、annotion、semanticAssociation、view、collect、subscribe、collaborate、
Download, upload field stores.
As it is shown on figure 3, learning behavior of the present invention puts into the learning activity model in data acquisition module, implement as
Under:
The theory of activity proposed according to former Soviet Union's psychologist Vygotsky, includes main body, object and community three
Individual nucleus and instrument, rule and three submembers of division of labor, definition study motility model key element, including substantially belonging to
Property, learning target, resource and instrument, learning of evaluation and learning outcome information five elements.Described base attribute includes the establishment time
CreateTime, founder creatorId, participation object participant, time started beginTime, end time
EndTime, task description description；Described learning target goalLevel refers to that learner can reach after completing learning activity
To teaching request, show as knowing, understand, apply, analyze, comprehensively, evaluate six levels, be corresponding in turn to goalLevel field 1
To the value of 6, value shows that the most greatly the hierarchy of objectivies is the highest；Described resource and instrument refer to complete learning activity for CAL person
Task needs the expansion resource that relates to and learning tool, all kinds of including PPT, Word, Excel, Flash, audio frequency, video, webpage
Multimedia file；Described learning of evaluation refers to standard or the scheme being estimated learning activity overall process, as comprise self-appraisal and
He comment two kinds of Appraising subject learning activity evaluate gauge, comprise system scoring and teacher mark two kinds of evaluation methods study live
Dynamic evaluation of programme；Described learning outcome refers to the output to the performance of learner activity overall process, including evaluation information and generation
Works, such as movable score, teacher's evaluation, the marking of study companion, concept map works, plan exhibition collection works.Meanwhile, Jiao Shi
During design learning active task, the mode manually selected from the list of knowledge point is needed to set up active task task and subject
Association between the knowledge of knowledge point, to form active task evaluation score score and the subject knowledge point of learner
Mapping relations between knowledge, thus the learner on-line study analysis for next step is prepared with putting into calculating.
In the present invention, on-line study behavior analysis is implemented as follows with putting into computing module:
(1) will be stored in the data in Database Systems according to mastery of knowledge, platform access and three dimensions of learning attitude
Sort out, wherein comment on, mark, vote, test score, study self-examination, contents concept figure, study works, edit, annotate, semanteme
The data of association grasp state for calculation knowledge, and the duration data of various interbehaviors is used for calculating platform access feelings
Condition, the data browse, collect, subscribe to, cooperate, download, upload, shared are for calculating learning attitude；
(2) by mastery of knowledge's state of formula A and B calculating learner:
A:Score (Ij)=Itemj*Iωj
B:
Wherein ItemjRepresent learner with knowledge point KjHundred-mark system score in learning activity project j of association is different
The computation rule of learning activity is determined by the learning of evaluation information of this activity；Score(Ij) represent learner with knowledge point KjClose
Learning activity project Item of connectionjOn actual score, I ωjWeight shared by learning activity project set by teacher,Score(Kj) represent that learner is for knowledge point KjFinal score, be used for characterizing knowledge point KjGrasp journey
Degree.
By by remark, assessment, vote, testScore, reflection, conceptMap, work,
In the middle of the evaluation criterion of edition, annotion, semanticAssociation data input learning activity, according to above-mentioned public affairs
Formula A and B computing obtain learner final score score on certain knowledge point.As score > passingScore time, represent
Above-mentioned knowledge point is grasped good by learner, and is stored in the form of<studentId, knowledgePoint, state=1>
In data base；As passingScore>score>0 time, represent that above-mentioned knowledge point is grasped general by learner, then with<
StudentId, knowledgePoint, state=2 > form be stored in data base；As score=0, represent learner
Grasping poor to above-mentioned knowledge point, the form of<studentId, knowledgePoint, state=3>is stored in data base.
(3) by the platform access situation of formula C and D calculating learner:
C:
D:
Wherein Tj represents that learner completes the time input by jth learning activity, Time (Mj) represent that learner is being learned
Practise the accumulation making time in platform jth module, Percent (Mj) represent the learner access feelings to learning platform module j
Condition.
By acquisition be stored in data base < taskId, studentId, interactiveType,
StartTimestamp, finishTimestamp > field, calculate time of staying duringTime=finishTimestamp-
startTimestamp；Utilize above-mentioned calculated duringTime, in learning platform, be subordinate to pass according to learning activity
System<taskId, moduleId>, calculates the access percent of console module by above-mentioned formula C and D.
(4) by the learning attitude of formula E and F calculating learner:
E:
F:
Wherein WFjRepresent learner frequency in a day on the study of jth class is mutual, Frequency (Aj) represent learner
Frequency on inherent jth class study in one week is mutual, Trend (Wj) represent all kinds of in one week inherent whole learning platform of learner
Practise the total frequency on mutual.
The view that is stored in data base by acquisition, collect, subscribe, collaborate, download,
The mutual frequency that upload six class is mutual, utilizes above-mentioned formula E and F to calculate the learning attitude of learner.
(5) repeat aforementioned four step and calculate the study Input Level of different learner (studentId), slap including knowledge
Hold state, platform access situation and learning attitude value, be stored in data base.
Such as Fig. 4, the present invention visualizes characterization result output module and is implemented as follows:
(1) arrange for student, the visualization result output template of teacher, wherein show knowing of oneself and class to student
Know grasp state, oneself and the platform access situation of class and oneself and the learning attitude data of class, as shown in Figure 5；Xiang Jiao
Teacher shows mastery of knowledge's state of class, the platform access situation of class and the learning attitude data of class, as shown in Figure 6；
(2) what utilization was stored in system database after being processed with input computing module by on-line study behavior analysis knows
Know status data, platform access data and learning attitude data, present mastery of knowledge's state with the form of Knowledge Map, with function
The form of module radar map presents platform access situation, presents learning attitude level with the form of time broken line graph.Wherein, knowledge
In map, rhombus represents that the knowledge point not associating learning activity, circular expression associate the knowledge point of learning activity, and for closing
With pattern fills, the circular knowledge point of connection learning activity represents that mastery of knowledge is poor, ater is filled and represented mastery of knowledge one
As, pure white fill represent mastery of knowledge good；Platform access radar map is using platform feature module as distinguishing dimension, the most flat
Have six modules in platform, then radar map will have six dimensions, and solid line point represents the platform access situation of learner individuality, void
Line point represents the platform access situation that class is overall；Learning attitude trendgram using the time as transverse axis, the time of staying as the longitudinal axis
Characterize attitude trend over time, and solid line track represents the horizontal variation tendency of learning attitude of learner individuality, void
Line tracking represents the horizontal variation tendency of learning attitude that class is overall.
The present invention is applied to the general learning platform with study interacting activity, it is achieved that learning behavior puts into the pure of data
Naturalness gathers and automated analysis, may advantageously facilitate learner mutual with the degree of depth of learning content；Learner can be at any time
Solve the study Input Level of oneself, strengthen learning cognition targeted specifically and put into, it is thus achieved that preferably learning effect.
What the present invention did not elaborated partly belongs to techniques well known.
Claims (5)
1. an on-line study behavior puts into data collection and transmission, it is characterised in that including: learning behavior puts into data
Acquisition module, on-line study behavior analysis and input computing module, visualization characterization result output module；Wherein:
Learning behavior puts into data acquisition module, and study based on learning activity model acquisition learner with education resource is believed alternately
Breath, learning outcome information and Knowledge Construction information, and by learner and the study interactive information of education resource, learning outcome letter
Breath and Knowledge Construction information are delivered to on-line study behavior analysis and put into computing module；Described learning activity model includes substantially
Attribute, learning target, resource include wound with instrument, learning of evaluation and learning outcome information five elements, wherein said base attribute
Building time, founder, participation object, time started, end time, task description, described learning target refers to that learner completes
Teaching request can be reached after learning activity, show as knowing, understand, apply, analyze, comprehensively, evaluate six levels, described money
Source and instrument refer to complete, for CAL person, expansion resource and learning tool, described that learning activity task needs to relate to
Practising and evaluate standard or the scheme referring to be estimated learning activity overall process, described learning outcome refers to learner movable complete
The output of process performance, including evaluation information and the works of generation；Described learner refers to study with the interactive information of education resource
The information that person is mutual with education resource in learning process, is that learner dynamically generates in learning process；Described study knot
Really information refers to the learner grasp state to learned resource content；Described Knowledge Construction information refers to that learner is to education resource institute
The contribution information made；
On-line study behavior analysis with put into computing module, according to learning behavior put into data acquisition module obtain learner with
The study interactive information of education resource, learning outcome information and Knowledge Construction information architecture on-line study behavior analysis and input
Computation model, and deliver to the result of analysis visualize characterization result output module；Described on-line study behavior analysis and input
Computation model includes that mastery of knowledge's state, platform access situation, learning attitude level three are analyzed and calculate dimension；
Visualization characterization result output module, enters according to step on-line study behavior analysis and the analysis result putting into computing module
Row visualization characterizes, and presents to learner and teacher in the way of Knowledge Map, access radar map, attitude trendgram；Online
During habit, by mobile terminal or computer, learner can check that the study of oneself puts into situation at any time, teacher can also
Check that the study of whole class puts into the study input situation of distribution or single learner at any time by mobile terminal or calculating.
On-line study behavior the most according to claim 1 puts into data collection and transmission, it is characterised in that: described
Habit behavior puts in data acquisition module, and learner includes with the interactive information of education resource browsing, collects, subscribes to, cooperates, comments
Discuss, mark, vote and download；Learning outcome information includes testing score, study self-examination, contents concept figure and study works；Learn
Habit person's Knowledge Construction information includes the editor of education resource, annotation, semantic association, uploads and share.
On-line study behavior the most according to claim 1 put into data collection and transmission, it is characterised in that: described
Line Learning behavior analyzing, with input computing module, builds on-line study behavior analysis and puts into content and the process of computation model
As follows:
(1) learning behavior is put into the learner acquired in data acquisition module and the study interactive information of education resource, study
Object information and the Knowledge Construction information concrete manifestation achievement data in platform carries out classification process, wherein comment on, mark,
Ballot, test score, study self-examination, contents concept figure, learn works, edit, annotate, data in terms of semantic association by based on
Calculate mastery of knowledge's state of learner, browse, collect, subscribe to, the data of the aspect that cooperates, downloads, uploads, shares exist for calculating
The attitude of line learning process learning person, in platform feature module, the data in terms of the time of staying are used for calculating platform access feelings
Condition；
(2) in setting steps (1) for calculate learner mastery of knowledge's status data in learning activity evaluation scheme shared
Weight and the critical mark of active task difficulty action accomplishment, be used for calculating learner attitude each item data institute in setting steps (1)
The weight accounted for；
(3) according to step (1) having been returned achievement data weight set in the achievement data of class and step (2) carry out result
Calculate and normalized, wherein knowledge learning result phase include grasping poor, grasp general and grasp good three kinds of levels,
The normalized of learning attitude is in units of sky, by the attitude data of learner every day divided by the peak institute of attitude numerical value
The result obtained, the normalized of platform access is with the non-unit of functional module, by learner in the stop of each functional module
Time is divided by the result obtained by the peak of time of staying numerical value.
4. an on-line study behavior puts into data collection and analysis method, it is characterised in that: described method includes learning behavior
Put into data acquisition flow process, on-line study behavior analysis and put into calculation process and visualization characterization result output flow process, step
As follows:
Step 1: learning behavior puts into data acquisition flow process and obtains the study of learner and education resource based on learning activity model
Interactive information, learning outcome information and Knowledge Construction information；Described learning activity model include base attribute, learning target,
Resource and instrument, learning of evaluation and learning outcome information five elements, wherein said base attribute include the establishment time, founder,
Participating in object, time started, end time, task description, described learning target refers to that learner completes institute's energy after learning activity
Reach teaching request, show as knowing, understand, apply, analyze, comprehensively, evaluate six levels, described resource and instrument refer to use
Completing, in CAL person, expansion resource and the learning tool that learning activity task needs to relate to, described learning of evaluation refers to
Standard that habit activity overall process is estimated or scheme, it is defeated that described learning outcome refers to the performance of learner activity overall process
Go out, including evaluation information and the works of generation；With the interactive information of education resource, described learner refers to that learner is at learning process
In the information mutual with education resource, be that learner dynamically generates in learning process；Described learning outcome information refers to study
Person's grasp state to learned resource content；Described Knowledge Construction information refers to the contribution letter that education resource is made by learner
Breath；
Step 2: on-line study behavior analysis and input calculation process, puts into data acquisition flow process according to step 1 learning behavior and obtains
The learner taken and the study interactive information of education resource, learning outcome information and Knowledge Construction information architecture on-line study row
For analyzing and putting into computation model, obtain the on-line study Input Level of learner, according between active task and knowledge point
Weight and active task that mastery of knowledge's status data that association, teacher are arranged is shared in learning activity evaluation scheme complete
The critical mark of quality calculates the personal knowledge map of learner, is stopped in each module according to console module statistical learning person
Time, according to the attitude trend of the weight calculation learner shared by each item data of learner attitude that teacher is arranged；
Step 3: repeat the above steps 1 and step 2 calculate the study Input Level of different learner, input visualization characterization result
Output module forms the different personal knowledge map of learner, platform access radar map and learning attitude trendgram, meanwhile, to class
Level mastery of knowledge's state of all students, the console module time of staying and learning attitude data are weighted averagely, it is thus achieved that whole
The Knowledge Map of individual class aspect, platform access radar map and learning attitude trendgram, present to class teacher.
On-line study behavior the most according to claim 4 puts into data collection and analysis method, it is characterised in that described
With pattern fills, Knowledge Map in step 3 represents that mastery of knowledge is poor, ater is filled and represented that mastery of knowledge is general, pure white
It is good that filling represents mastery of knowledge, and platform access radar map is using platform feature module as distinguishing dimension, learning attitude trendgram
Attitude trend over time is characterized as transverse axis, the time of staying as the longitudinal axis using the time.
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