Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Featured Post

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

ICT in Primary Education: Transforming children's learning across the curriculum

ICT in Primary Education: Transforming children's learning across the curriculum

About this course: Why and how are teachers integrating ICT (Information and Communication Technology) into primary education? In this course we analyse examples from schools in different parts of the world, and bring professional teachers, headteachers and policymakers together to share their best ideas and inspiring stories. The materials in the course are based on studies carried out for the UNESCO Institute of IT in Education, Moscow. Learning Outcomes: to be aware of the range of reasons for using ICT to critique the strategies for developing ICT over time to analyse the strengths and weakness of different decision-making mechanisms to become familiar with a wider range of useful tools and resources for integrating ICT

Created by:   University of London

  • Professor Diana  Laurillard
    Taught by:    Professor Diana Laurillard, Professor of Learning with Digital Technologies
    London Knowledge Lab, UCL Institute of Education, University of London
LevelBeginner
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.5See what learners said
Syllabus
WEEK 1
ICT and the 21st Century Primary School
This week will enable you to be aware of the range of reasons for using ICT and to critique the strategies for developing ICT over time. You will also analyse the strengths and weakness of different decision-making mechanismsand become familiar with a wider range of useful tools and resources for integrating ICT

7 videos7 readings
  1. Reading: Recording & Sharing Yours Ideas
  2. Reading: Guidance on Discussion Forums - Week 1
  3. Video: Week 1 Overview
  4. Reading: Learning and Creating with iPads in Kindergarten
  5. Reading: Definition of Learning Types
  6. Video: Types of Learning and Learning Technologie
  7. Discussion Prompt: Learning through inquiry - how would you use ICT for this?
  8. Discussion Prompt: Learning through acquisition - how would you use ICT for this?
  9. Discussion Prompt: Learning through production - how would you use ICT for this?
  10. Discussion Prompt: Learning through collaboration - how would you use ICT for this?
  11. Discussion Prompt: Learning through practice - how would you use ICT for this?
  12. Discussion Prompt: Learning through discussion - how would you use ICT for this?
  13. Reading: ICT in Primary Education Analytical survey - Please read this chapter
  14. Video: The 21st Century School Environment
  15. Reading: Please Read this Chapter - Vignettes in ICT in Primary Education
  16. Discussion Prompt: Compare your local experiences (all learners to contribute)
  17. Video: Action Plans and Policies for Integrating ICT
  18. Video: Creating a Lesson Plan
  19. Video: Using and adapting an existing learning design
  20. Video: Exporting your design to Word
  21. Reading: Please Read - Survey of Schools: ICT in Education
WEEK 2
How does ICT make a difference?
This week will enable you to identify different dimensions of change at the school level due to the integration of ICT and to be aware of new opportunities for global participation facilitated by technology. You will also begin to understand the features involved in effective professional development and be aware of how children perceive the use of technology in a school context

7 videos6 readings
  1. Reading: Guidance on Discussion Forums - Week 2
  2. Video: Week 2 Overview
  3. Video: Dimensions of change within the school
  4. Reading: Major changes
  5. Video: School teachers/leaders talking about changes in their schools - Jonathan Bishop
  6. Video: School teachers/leaders talking about changes in their schools - Elizabeth Wagner de Huero
  7. Video: School teachers/leaders talking about changes in their schools - Susan Skidmore
  8. Reading: Sharing activity: your reaction to leaders' testimonies
  9. Reading: Guide to discussion prompts about change dimensions
  10. Discussion Prompt: Changes in student motivation
  11. Discussion Prompt: Changes in teaching and learning
  12. Discussion Prompt: Changes in educational resources
  13. Discussion Prompt: Changes in school life
  14. Discussion Prompt: Changes in relations between teachers and students
  15. Discussion Prompt: Changes in physical space
  16. Video: Beyond the school
  17. Reading: National and international initiatives and projects
  18. Discussion Prompt: Recommendation to projects or initiatives - All Leaners
  19. Video: Students' Perspective
  20. Reading: Week 2 - Children's voice activity
WEEK 3
Pedagogical changes achievable through ICT
This week will introduce the primary school teaching community and enable you to contribute to the integration of a range of effective ICT-based practices and pedagogies. In addition we aim to increase understanding of the differences in teaching and learning styles, and how different learning activities can contribute to the depth of learning.

10 videos2 readings
  1. Reading: Reading and Activities: Week 3
  2. Reading: Guidance on Discussion Forums - Week 3
  3. Video: Week 3 Overview
  4. Video: Learning Types
  5. Video: Project Introduction
  6. Video: Geography
  7. Video: English
  8. Video: Chemistry
  9. Video: Health
  10. Video: Maths
  11. Video: Literature
  12. Discussion Prompt: Share your thoughts in any of the 'Case-studies' Forum (Hungary, UNESCO Book, Australia, iTEC, USA, EUN). (Optional)
  13. Discussion Prompt: Compare policies encountered with that of your own locality. All Learners
  14. Video: Teacher Perspectives
  15. Discussion Prompt: Post an idea into the ‘Emerging Technologies in Education’. All Learners
Graded: Summarise the essence of your Learning Object using ICT
WEEK 4
Technology opportunities
This week we aim to encourage you to know different categories of ICT tools, their affordances and different criteria to be applied when selecting them. As well as be able to analyze the needs for digital content and various strategies how to get it, share, or develop and to be aware of the potential of ICT to support computational thinking, to reflect on the needs, priorities, and future plans for further developing and extending the digital environment.

5 videos2 readings
  1. Reading: Reading and tasks: Week 4
  2. Reading: Guidance on Discussion Forums - Week 4
  3. Video: Week 4 Overview
  4. Video: Choosing technology
  5. Video: Digital content
  6. Video: Computational thinking
  7. Video: Programming
  8. Discussion Prompt: After reviewing the videos please comment on appropriate ICT tools for primary education
  9. Discussion Prompt: What would you would like to ask an experienced teacher regarding technology use in their school.
  10. Discussion Prompt: Write at least one argument FOR the One-to-One approach?
  11. Discussion Prompt: Write at least one argument AGAINST the One-to-One approach?
Graded: Making Key ICT Decisions in Schools
Graded: Making ICT Investment Decisions in Schools
WEEK 5
Inspiring examples and implementation concerns
This week we hope to enable you to identify the different dimensions of implementation issues, and apply them to your own context and to become aware of problems that can be encountered in using ICT. We also wish you to share and build some solutions to these concerns and problems and consider these solutions to be of different kinds: learning design, infrastructure, negotiation with parents, communities of practice, policies, staff development, pedagogical innovations, differentiation, affordable access, and teaching support.

10 videos2 readings
  1. Reading: Reading and tasks: Week 5
  2. Reading: Guidance on Discussion Forums - Week 5
  3. Video: Overview
  4. Video: An inspiring project that overcame some challenges
  5. Video: Dealing with potential pitfalls - Canada
  6. Video: Moscow School Science
  7. Video: Challenges & obstacles - Broadclyst
  8. Video: Challenges & obstacles - Bury
  9. Discussion Prompt: How to ‘use ICT smartly’ (All Learners)
  10. Discussion Prompt: Please share the useful tips for helping students use ICT well? ( All Learners)
  11. Discussion Prompt: 'Practical aspects of using ICT well'. (All Learners)
  12. Video: Dimensions
  13. Video: Avenues
  14. Discussion Prompt: The main specifics of implementation of technologies aimed on inclusion in your own context? (All Learners)
  15. Video: Children recommendations
  16. Video: Learning Designer - Adapt a design from the directory
Graded: Challenges and suggested solutions - ICT in the classroom
WEEK 6
Making ICT work
This week we aim to explain the pivotal role of the teacher in the ICT-enhanced learning environments and to identify the competencies of the teacher to take up this role effectively in the ICT-enhanced learning environments. As well as explain the conditions for supporting the teachers to take up this role effectively in the ICT-enhanced learning environments

1 video2 readings
  1. Reading: Reading and tasks: Week 6
  2. Video: Bertram Primary School
  3. Reading: Au Revoir...
Graded: Design a two-page brochure or newsletter
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of London
The University of London is a federal University which includes 17 world leading Colleges. Our International Programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, search for 'London International'.


Comments

Popular posts from this blog

Big Data Hadoop Certification Training

Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Hadoop certification at the end of the course

About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Hadoop certification after the project completion.

Training Objectives
The hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to: Master the concepts of HDFS and MapReduce frameworkUnderstand Hadoop 2.x ArchitectureSetup Hadoop Cluster and write Co…

Hands-on Text Mining and Analytics by Yonsei University

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.



LevelIntermediateLanguage English, Subtitles: Chinese (Simplified) How To PassPass all graded assignments to complete the course.
Syllabus

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses

Deep Learning Specialization

Master Deep Learning, and Break into AI
About This Specialization If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming m…

Launch Your Career in Data Science

A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Created by: Industry Partners: 10 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn.

Master of Computer Science in Data Science

A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business,…

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Программирование на Python

About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного о…

Front-End JavaScript Frameworks: Angular

About this course: This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 4.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication and the use of REST API on the server side. You will use Restangular for communicating with a server sup…

Archive