Vygotsky believed that learning occurred on two levels:through interaction with others and then integrated into the learner’s mental structure. An important aspect of his theory to note is the idea that cognitive development is limited to a “Zone of Proximal Development.” This zone describes ...
interdisciplinary learningintegrated curriculumInterdisciplinarity is a vital topicality in contemporary education and science. In general education of Latvia, the concept 'integrated learning' is traditionally used. The question is, if interdisciplinary teaching/learning differs from conventional approaches, or...
What exactly is collaborative learning? Why should instructors incorporate collaborative learning strategies in the classrooms? 1. Increase student engagement 2. Collaboration and teamwork 3. Civic Responsibility The importance of collaborative learning approaches in mixed modalities environments How to implement...
In recent years, the Chinese cities have accelerated their development, considerably improving the living environmentof their citizens. Many cities explore with great efforts the path to high-quality development with Chinese characteris-tics, with urban functions continuously improved and man-agement leve...
Learning can greatly benefit a business, but you must be able to prove it. Collaborative learning is measurable in many ways, from tracking engagement to observing improvements in a sales team’s social selling indexes. Understandable back-end analytics, integrated with broader business metrics, are...
Machine Learning is an AI technique that teaches computers to learn from experience. Videos and code examples get you started with machine learning algorithms.
A lot is happening in the world of AI at the moment. Some of you may be wondering how machines have the ability to do what they can do. How can they recognise images, understand speech, and even reply to my requests??? Welcome to the world of Deep Learning. ...
Deep learning requires both a large amount of labeled data and computing power. If an organization can accommodate both needs, deep learning can be used in areas such as digital assistants, fraud detection and facial recognition. Deep learning also has a high recognition accuracy, which is crucial...
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
Challenges of applying reinforcement learning Reinforcement learning, while high in potential, comes with the following tradeoffs: Limited applicability.It can be difficult to deploy and remains limited in its application. One of the barriers for deployment of this type of machine learning is its relia...