Learning @ COL

This course area provides an orientation to Learning @ COL for learners. Whether you are a guest visitor or registered on a COL course, this space will provide you with guidance on how to get the most out of Learning @ COL.

Computational thinking (CT) can help to enhance the problem-solving skills required to solve complex real-world problems. It can be applied across all disciplines, irrespective of students' grade level. However, the primary goal of this course is to help teachers/educators understand CT and implement it in schools. The course can be used by anyone with higher secondary qualification. However, the primary users will be students and teachers. There are no prerequisites for this course. No programming skills are required.

This short course aims to demystify approaches to assessment. Whether you are a new or seasoned teacher, an instructional designer or a learning specialist, this course will help you navigate online assessment in an approachable and effective way. If you are interested in improving your understanding of the basics of online assessment or you want to explore emerging assessment practices, then this course is for you!

The course has been designed and written with the explicit purpose of assisting teachers to understand and use learning analytics ethically and appropriately in their own context. Teachers form the central focus of the course. Learning analytics as a research field and practice is, at its core, interdisciplinary. Drawing upon various disciplines, the course makes the text and key concepts as accessible as possible for a broad audience.

Short, bite-sized learning has become an important way to provide effective and efficient just-in-time training. The course is designed to assist content creators (teachers, teacher trainers and the support team) in developing microlearning content in a consistent time-saving manner.

This is a short course which explores the nature of and key issues related to provision of open schooling. It is designed to provide an introductory overview for educational leaders, administrators and teachers who are interested to explore open schooling as a way of addressing the needs of out-of-school children and youth.

This course provides an introduction to the theories, principles, guidelines and experiences for creating learning designs that will empower you to achieve desired learning outcomes in a human-centred and goal-oriented way. The course focuses beyond instructional design to cover experience design assist creating a learning environment that effectively helps students to achieve their life goals. This course will provide you with the skills and competencies to analyse learning and performance problems, design appropriate learning experiences and eventually develop creative and innovative experiential digital learning environments for the new era. Participants in the course will also develop the skills and gain the knowledge necessary to leverage these future trends and use their knowledge to create innovative learning designs that cater to the next generation of learners.

This is a basic course to help you become better independent learner and use online courses for personal development. As you work through each module, you will be exploring the fundamentals of the learning process and various models of online courses to determine your own learning preferences and which forms of online learning are best for you. In addition, you will be reviewing common issues, frustrations and even fears about learning remotely through technology, and you will learn to identify and practise techniques to help overcome any past learning obstacles, gaining confidence as you become a digitally competent, self-directed learner. In this course, expect to follow your own learning journey and practise being an active online learner while learning about it at the same time.

Machine learning is a subset of Artificial Intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It is done by developing computer programs that can access data and use it to learn for themselves. With the appropriate machine learning models, organisations can use these systems to continually observe changes in their business to predict what may be coming next. In this micro course, you will learn about machine learning, its techniques, and why it is important for all of us. This micro course presents machine learning concepts and techniques and the relation of machine learning to our everyday life in a way that anyone can understand. This course skips confusing academic jargon and offers clear explanations that require only basic mathematics.

The course focuses on ideas that will enable educators to create interactions for a variety of educational strategies to support student motivation and learning across different contexts in online environments. Covering theoretical principles with accompanying suggested pedagogical strategies/activities, the course provides practical and innovative ideas for creating active and engaging online learning environments to enhance student motivation to learn. The course is designed for educators and learning facilitators/trainers in general - for example, in-service and/or pre-service educators - from varied backgrounds and levels of experience, intending to further develop their online teaching and learning skills and understanding. Course participants will be introduced to the range of learning opportunities on the Web and will be encouraged to consider how they could personally use and apply various technology tools and web resources effectively in their practice.

This short course will introduce you to the basic aspects of developing teaching and learning materials for distance and online learning. This course focuses primarily on text-based print and online materials. While it is aimed at teachers in distance teaching institutions, it will also be a useful starting point for anyone who is interested in developing an online course. If you put what you learn into action, you will be able to develop materials that students can use for self-directed learning. The approximate time to complete this course is about 135 minutes. But you will also need another 20-30 hours to develop at least one lesson's worth of distance learning (DL) materials. This is an asynchronous course, so it will not be possible to assess your lesson quality. We recommend that you ask your peers and people who are likely to participate in the course/unit for feedback that you can use to improve your material.

The aim of this self-paced course is to help educational institutions develop and roll out quality blended and online courses by using several toolkits and resources COL has developed over the years. In this professional development course, faculty and administrators will learn concepts, approaches and tools in a just-in-time manner to assure the quality of blended and online learning in a post-COVID-19 world. The course helps you understand how to apply this new information to improve the quality of your blended and online courses.

This is an introductory course on Universal Design for Learning (UDL) that provides a foundation for developing accessible courses and demonstrates the potential of UDL to make teaching resources and practices more responsive to students' diverse needs and contexts.