Online courses directory (10358)

This course will provide a generally non-technical introduction to learning analytics and how they are being deployed in various contexts in the education field. Additionally, the tools and methods, ethics and privacy, and systemic impact of analytics will be explored, presenting a broad overview of the current state and possible future directions of the field. Capturing and analyzing data has changed how decisions are made and resources are allocated in the fields of business, journalism, government, military, and intelligence. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data is a value point that drives increased organizational efficiency and a competitive advantage. Analytics provide new insight and actionable intelligence. Companies such as Microsoft, IBM, Google, and Amazon are investing heavily in technologies and techniques to help individuals and organizations make sense of and unlock the value within big data. In education, the use of data and analytics to improve learning is referred to as learning analytics. Software companies, researchers, educators, and university leaders are starting to recognize the value of data in improving not only teaching and learning, but the entire education industry. The growth of online learning and open online courses generates new sources of data for researchers and educators to better understand the learning experience.

Why do so many schools use letter grades? Where did they come from? What do they tell us and fail to tell us about the learners? What is the relationship between letter grades, student learning, and assessment? This six-week course will allow participants to carefully consider the history, benefits, limitations, and alternatives to using letter grades in learning environments. It will include reflection about the role of formative and summative assessment, strategies for leveraging technology for assessment, as well as exploration of authentic and alternative assessments. Other topics will include peer assessment, badges, self-assessment, and a variety of feedback sources in learning environments. As a way to develop a deeper understanding of the subject, participants will experiment with different forms of assessment and examine a variety of real world examples of learning organizations that do not use letter grades. This course is designed for individuals who aspire to work in a variety of learning organizations. Prior knowledge about curriculum development and designing lessons or learning experiences is helpful, but not required. Students will have an opportunity to earn digital badges in this course.

We all have our own understandings of ‘sustainability', of its significance as an environmental, social, economic and moral concept, and as a principle for individual, collective or corporate behaviour. This course begins from your starting point and explores how we might make positive differences to the future of our planet, and encourage others to do so.

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.

This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. The lectures follow each other in a story-like fashion:

• What is learning?
• Can a machine learn?
• How to do it?
• How to do it well?
• Take-home lessons.

This class explores the creation (and creativity) of the modern scientific and cultural world through study of western Europe in the 17th century, the age of Descartes and Newton, Shakespeare, Milton and Ford. It compares period thinking to present-day debates about the scientific method, art, religion, and society. This team-taught, interdisciplinary subject draws on a wide range of literary, dramatic, historical, and scientific texts and images, and involves theatrical experimentation as well as reading, writing, researching and conversing.

The primary theme of the class is to explore how England in the mid-seventeenth century became "a world turned upside down" by the new ideas and upheavals in religion, politics, and philosophy, ideas that would shape our modern world. Paying special attention to the "theatricality" of the new models and perspectives afforded by scientific experimentation, the class will read plays by Shakespeare, Tate, Brecht, Ford, Churchill, and Kushner, as well as primary and secondary texts from a wide range of disciplines. Students will also compose and perform in scenes based on that material.

By Sara Rutherford-Quach, Jeff Zwiers and Kenji Hakuta

Whether you are an outstanding or a struggling student, "Learning How to Learn" will give you powerful mental tools that will help you learn more effectively in tough-to-master subjects. You will discover practical, immediately useful insights that will help you to more deeply master your studies.

Turning you from novice to a programmer with the help of easily understandable explanations and examples.

This seminar explores experiments in education and discusses how education and learning might be done, through reading and discussion. This seminar is not a survey of experiments in education, but rather, its goal is to determine how learning should happen and what kinds of contexts allow it to happen.

This seminar explores experiments in education and discusses how education and learning might be done, through reading and discussion. This seminar is not a survey of experiments in education, but rather, its goal is to determine how learning should happen and what kinds of contexts allow it to happen.

This seminar explores experiments in education and discusses how education and learning might be done, through reading and discussion. This seminar is not a survey of experiments in education, but rather, its goal is to determine how learning should happen and what kinds of contexts allow it to happen.

Master the Cash Flow Statement. You will not only learn how to interpret a Cash Flow Statement, but also how to create one. The video lectures take place in a classroom. Participate in the learning activities and watch explanations from the instructor.

This course will show you the correct way in performing the squat.

Learning through ePortfolios is a 8-week course in which you’ll learn the benefits of a personal learning environment and how to develop one. You’ll also develop a blog and a professional web page and read about learning and communication theories behind these online tools to enhance your understanding and creativity in their use.

Simple personal branding strategies to building brand YOU. This course helps to build confidence and success mindset

Maximize your learning by broadening and deepening your understanding of what is involved in learning

Learning to Learn Online will equip you with the knowledge and strategies to get you learning online in no time! This course is engaging, interactive, and fun and will help you overcome obstacles that may be holding you back from becoming a confident online learner.

Based upon the award winning* educational resources of same name developed by Simon McIntyre and Karin Watson, the Learning to Teach Online (LTTO) MOOC is designed to help existing educators establish or improve their own online or blended teaching practices. The target audience is primarily teachers in higher education, K-12, community college, and vocational or private education.

Probability and Statistics is one of two strands introduced in the first phase of the new Project Maths Course in the Irish curriculum. This topic covers up to half of the new Paper 2 in the Leaving Certificate Paper. <br />Statistics are used in real life to make sense of the information around us and how it affects us. Statistics looks at the data handling cycle and analysis of the data collected. This involves posing a question, collecting data on that question, presenting that data, analysing the data (using measures of spread and centre) and interpreting the results. In answering questions, it is essential that you can contextualise and justify your findings. <br />Probability is concerned with the likelihood of an event(s) happening. The information can be used to make informed decisions. The use of probability is commonly utilised in the world of finance, insurance and sport among others. Probability can also be used to infer the fairness of an event or series of events. It can be evaluated using a diagram or a rule-based approach. A combination of Probability and Statistics can be used to prove/disprove a given conjecture or statement (Hypothesis Testing (HL only)). <br />This Strand attempts to merge the mathematical aspects of Probability and Statistics with its real-life application. It is an interesting topic that is very accessible to all students.<br />

Probability and Statistics is one of two strands introduced in the first phase of the new Project Maths Course. This topic covers up to half of the new Paper 2 in the Leaving Certificate Paper in the Irish curriculum.<br />Statistics are used in real life to make sense of the information around us and how it affects us. Statistics looks at the data handling cycle and analysis of the data collected. This involves posing a question, collecting data on that question, presenting that data, analysing the data (using measures of spread and centre) and interpreting the results. In answering questions, it is essential that you can contextualise and justify your findings.<br />Probability is concerned with the likelihood of an event(s) happening. The information can be used to make informed decisions. The use of probability is commonly utilised in the world of finance, insurance and sport among others. Probability can also be used to infer the fairness of an event or series of events. It can be evaluated using a diagram or a rule-based approach. <br />This Strand attempts to merge the mathematical aspects of Probability and Statistics with its real-life application. It is an interesting topic that is very accessible to all students.<br />