Hybrid Learning and Ubiquitous Learning
نویسنده
چکیده
Ubiquitous learning (U-Learning) has an increasing trend as the coming forth of more new media and instructional ideas. U-Learning focuses on the combination of learning environment and substance space, emphasizing the learning can be happen as seeing, hearing, reading, or apperceiving whenever the learner wanted. Hybrid learning, sometimes called “blended learning”, emphasizes to maximize student’s learning within different learning environments (traditional and digital). It also means that learning requires students to meet for face to face classes while providing much of the learning content and interaction online via delivery software and instructional tools. This paper will discuss concept and characteristics of U-learning and H-learning, the different between the Hand U-learning, and their relationship.
منابع مشابه
From E-learning to Ubiquitous Learning; Theoretical Principles
Background: Because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. Mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technolog...
متن کاملA Discrete Hybrid Teaching-Learning-Based Optimization algorithm for optimization of space trusses
In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...
متن کاملA Hybrid Optimization Algorithm for Learning Deep Models
Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...
متن کاملA Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملA Hybrid Optimization Algorithm for Learning Deep Models
Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...
متن کامل