Branching scenarios and Dialogue trees

We know what scenario based learning is. Scenario based learning uses real-life situations or scenarios to explain a concept. In an elearning course, the scenarios are presented using images or videos. Branching scenarios allows learners to decide how they want the scenario to unfold. You must note here that the learner's control over the path in a Branching scenario is limited by the choices provided to them by the program - it is not truly infinite. Yet, this allows learners to experiment and discover possible outcomes from their actions at each point. Thereby, they learn favorable and unfavorable actions in a situation.

Crowdsourcing content

Organizations create content regularly to train their staff. Content creation is a complex activity with several stages:

• Analysis
• Conceptualizing
• Creation
• Implementation and
• Measurement

An experiment with image processing

Image processing is a technique used to enhance an image thereby preparing it for further use. Changing the brightness, contrast and smoothing (noise removal) of an image are examples of image processing. Computer vision, a study that deals with the recognition of objects in images and video depend heavily on image processing. Computer vision has been around since the 50s and has matured over time to what it is today. Augmented reality, Virtual reality and Mixed reality use computer vision in one way or the other. That makes the field of image processing all the more important.

Wouldn't it be cool to try out something in image processing? How about trying to extract the background from a footage of a busy scene? For the simplicity of the experiment, we'll use footage from cameras that do not move. Cameras that are usually locked in a fixed position are trail cams, security cams or a microscope camera.