SCORMAnd Internet education
Written by nius: 2011-10-22
Blog: http://nius.me
The last simple translation of the SCORM protocol (portal), from the complexity of the protocol, we can roughly understand why this standard is still, at least in China, obscure. We can use SCORM to discuss Internet-based education.The instructor is a user
SCORM aims to develop a comple
See the learning status value of the shared learning component (SCO) in the SCORM standard.
Learning status value of the shared component
According to SCORM's definition of learning components, learning assets simply point to learning resources, while content aggregation architecture refers to the abstract concept of combination. Only learning shared components (SCO) it has the ability to send messages to each other with the Learning Management Plat
relevant course content;
Publish notices, course materials, tasks, links to teaching resources, Professor and student profiles, and other information;
Upload course files over the Internet and manage course content conveniently;
Supports uploading and sending various format files, including:
Microsoft Office
Adobe Acrobat PDF
Html
Digital Image
Digital audio files
Digital Video Files
Multimedia (such as flash, Shockwave, and Authorware)
IMS, SCORM, a
Lms. Virtual.lab.rev13.win64-iso 3DVD Three-dimensional prototype simulation platformIn the latest LMS Virtual.lab REV13 release, a number of new features and improvements are available, designed to improve platform openness and system integration efficiency while addingTo master the complexities of even the most advanced products.The latest version offers a variety of modeling functions and methods for hot
words, the non-miscible noise generation. Therefore, the correlation matrix can only be estimated, so that the actual weight adjustments can not be one step. And the steepest descent method, in strict accordance with the direction of gradient descent, more easy to operate.
LMS algorithm: (practical)The abbreviated version of the steepest descent method, which takes only one sample as the current estimate, proves that the
The LMS algorithm, which is the minimum mean variance, is the sum of squares and minima of errors.Using gradient descent, the so-called gradient drop, essentially using the nature of the derivative to find the location of extreme points, the derivative in the vicinity of the side is greater than 0, one side is less than 0, that's all ...And in this, the positive and negative of the derivative, is dependent on the error of the positive or negative to d
Directory1. Introduction to Adaptive Filters2. Adaptive filtering Noise Cancellation principle3. LMS Algorithm principle4, MATLAB implementation4.1, Lmsfliter ()4.2, Lmsmain ()5. Analysis of results
1. Introduction to Adaptive Filters
Adaptive filtering, is to use the results of the filter parameters obtained in the previous moment, automatically adjust the current moment of the filter parameters to adapt to the signal and noise unknown or
Label: style blog HTTP color ar OS for SP File
I. background
The Gini filter parameters are fixed and suitable for Stable Random Signals. Kalman filter parameters are time-varying and suitable for non-Stable Random Signals. However, the two filters can obtain optimal filtering only when the statistical characteristics of signal and noise are a prior known. In practical applications, we often cannot obtain a prior knowledge of the statistical characteristics of signals and noise. In this case
LMS is widely used in speech enhancement, and is one of the most common algorithms, which is also the theoretical basis or component of many more complex algorithms, such as the important method--GSC (generalized sidelobe cancellation) in array speech enhancement. The LMS algorithm extends from the original version to many variant structures, such as normalized LMS
1.LMS algorithms are primarily a matter of relevance2. What is the implementation process of LMS algorithm?3. How does stepping affect the algorithm?If the step size is large, the convergence is fast, but the offset is large and the step size is small, but the convergence is slow.In the initial phase of the algorithm, a large U-value should be adopted to accelerate the convergence, and then the smaller U-va
The main difference between LMS algorithm and Rosenblatt Perceptron is that the weight correction method is not the same. LMS uses the batch correction algorithm, which is used by the Rosenblatt Perceptron.is a single-sample correction algorithm. Both of these algorithms are single-layer perceptron and can only be used for linear sub-conditions.Detailed code and instructions are as follows: 650) this.width=
called classification problem.Linear regressionSuppose the price is not only related to the area, but also to the number of bedrooms, as follows:At this time \ (x\) is a 2-dimensional vector \ (\in \mathbb{r^2}\). where \ (x_1^{(i)}\) represents the house area of the first ( i\) sample,\ (x_2^{(i)}\) represents the number of house bedrooms for the first \ (i\) sample.We now decide to approximate y as the linear function of x, which is the following formula:\[h_{\theta} (x) =\theta_0+\theta_1x_1
creating an assignment.
The administrator can use an existing permission, such as "Participate in the discussion", to assign permissions by using the created permissions. For example, the default " SCORM 2004 reactivate
The original design of SCORM 2004 re-activation was to create a new learning record (attempt) for learners to continue learning. Although this will delete all previous work of the learne
There are eight data classes for SCORM to reference CMI, SCORM defines and uses each data, includes sub-data items, output data formats, behaviors of data referenced by LMS, samples used by SCO, supported API functions, required or not, and data type and SCO access permissions are described in detail, thisEight types of dataAs follows:(1) CMI. core: Information p
that the application has positive feedback. It can be formally incorporated into the experience library. Limitations of e-Learning
After recognizing the above analysis method, we can find that e-learning systems are more likeCommunityWebsite. User behavior is more valuable than data in the system. However, the current e-learning system, from system design to data standards (such as SCORM, qti, AICC, and so on) has a very strong closeness. He has fun
unrestrictedLet students all over the world freely decide how they want to access the course.Almost all devices are optionalProvide more ways for students to access the course. The course can be published as a single click in the HTML5 format supported by the mobile browser, the Flash format supported by desktop and laptop computers, and the formats supported by the IPAD and Android user Articulate Mobile player.Localized contentEasily translate courses for students from all over the world. Sto
A preface:Moodle is an open source course Management System (CMS), also known as a Learning Management system (LMS) or virtual learning environment (VLE), which is often used to play courseware that complies with SCORM standards , but features much more than course management, job modules, and more. This article mainly introduces the installation method of Moodle.Two preparation: Moodle installation of basi
Default Value
Where to store
Lrm
Default Value in index. xml
Assignmentitem. pointspossible
SCORM 2004
100
Assignmentitem. pointspossible
SCORM 1.2
Null
Assignmentitem. pointspossible
Non-eLearning
Null
Assignmentitem. pointspossible
In the alwp and SLK assignment process interface, the number of possible po
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