Research on Teaching Strategy Based on Individual Requirements under E-Learning Environment

2012 ◽  
Vol 476-478 ◽  
pp. 2137-2140
Author(s):  
Hua Wang
Keyword(s):  
Learning Environment ◽  
Teaching Strategy ◽  
Teaching Process ◽  
Model Based ◽  
Strategy Model ◽  
Research On Teaching ◽  
E Learning ◽  
Practice Of Teaching

Research on e-Learning in recent years has made great achievements in the exploration and practice of teaching. However, it is urgent that the special characteristics of e-Learning calls for revisiting to the current teaching strategy under e-Learning environment. A novel teaching strategy model based on individual requirements is proposed to improve the efficiency and adaptability in the teaching process under e-Learning environment. The architecture of the proposed teaching strategy is presented by employing relevant middleware model.

scholarly journals Assessing the Intensity of the Usability of the Course Content within the Virtual Learning Environment

2020 ◽  
Vol 15 (17) ◽  
pp. 165
Author(s):  
Juraj Obonya ◽  
Miroslav Kadlečík
Keyword(s):  
Learning Environment ◽  
Learning Process ◽  
Statistical Evaluation ◽  
Virtual Learning Environment ◽  
Learning Systems ◽  
Teaching Process ◽  
Course Structure ◽  
Course Content ◽  
Complex Process ◽  
E Learning

Nowadays, education is a complex process that has many advantages. This is obvi-ously proven, as there are high demands on skills in today’s world. Therefore, it is a good approach to acquire this knowledge during the studies. Therefore, the re-quirement is aimed at the constantly improving and acquiring new experiences. In order to meet as many of these parameters as possible, it is important that we have an appropriately structured environment for students. The teaching process can be interpreted in several ways. In our research, we focus mainly on teaching through e-learning systems. Obviously, these supporting systems have many advanced func-tionalities to help make the whole learning process much easier to understand. In our work, we focus on methods and approaches by which we can evaluate student be-haviour and we can measure the justified course settings. We explored various man-agerial settings inside a concrete course structure. Subsequently there will be statistical evaluation of already cleaned and preprocessed data from the system. At the same time, based on these statistical confirmations, we can propose a set of methodologi-cal recommendations for the teacher, which will help us to improve the quality and effectiveness of the teaching process.

Cognitive Diagnosis of Students' Test Performance Based on Probability Inference

2014 ◽  
Vol 6 (1) ◽  
pp. 37-57
Author(s):  
Junjie Xu ◽  
Rong Chen
Keyword(s):  
Learning Environment ◽  
Test Performance ◽  
Computerized Adaptive Testing ◽  
Broad Class ◽  
Cognitive Diagnosis ◽  
Learning Performance ◽  
Cognitive State ◽  
General Technique ◽  
Model Based ◽  
E Learning

Cognitive diagnosis is aimed at inferring the degree of cognitive state from observations. This paper considers cognitive diagnosis as an instance of model-based diagnosis, which has been studied in artificial intelligence for many years. The model-based cognitive diagnosis we present runs on a model of students' courses in terms of knowledge items that they may learn, tests them and helps them to understand their faults in cognition, and thus improves their learning performance in an E-learning environment. To do so, courses are formally defined as set of knowledge items with requirement constraints, and associated with a set of exam questions. Moreover, the authors introduce Bayesian net to build a model of cognitive diagnosis, using probabilistic inference on it to help a student understand what knowledge item he/she does not master, and the recommendations like what should be done next. Experimental results show that the group of students with such understanding can improve their testing performance greatly in an E-learning environment. Although the demo system has been integrated with a specific computerized adaptive testing system, the general technique could be applied to a broad class of intelligent tutoring systems.

An adaptive teaching strategy model in e-learning using learners' preference: LearnFit framework

2012 ◽  
Vol 1 (3) ◽  
pp. 257 ◽  
Author(s):  
Essaid El Bachari ◽  
El Hassan Abelwahed ◽  
Mohammed El Adnani
Keyword(s):  
Teaching Strategy ◽  
Strategy Model ◽  
Adaptive Teaching ◽  
E Learning
Sign in / Sign up

Export Citation Format

Share Document