Analitics standard for watu

Sorry, no. I hope you don’t expect me to read this long document.

No. I′m just asking.

To use standards give always more possibilities. Google would understand better the work and further developments can be possible.

The Caliper information model defines a set of concepts, rules, and relationships for describing learning activities. Each activity domain modeled is described in a Metric Profile (“profile”). Each profile is composed of one or more Event types. Each Event defines a controlled vocabulary of actions undertaken by learners, instructors, and others, that are scoped to the event. Various Entity types representing people, groups, and resources are provided in order to better describe both the relationships established between participating entities and the contextual elements relevant to the interaction.

Just think about that. Maybe is a good idea to use such standard in your code.

• This reply was modified 6 years, 9 months ago by Antonio D..

Analitics are more important each day. Maybe that is a good way to do it.

thanks

Delivering teaching and learning at scale is encouraging adoption of “big data” practices. Cloud computing and machine learning are changing both the learning technology landscape and the business of education. The definition of what constitutes learning is also evolving beyond the formal classroom experience to include informal, social and experiential modes of acquiring knowledge and skills. Opportunities exist to leverage new tools, tap new data sources, ask new questions and pursue new insights.

Consider the enterprising instructor seeking to augment if not transform the classroom environment for her students. She utilizes a video platform to create and post video assignments. Class discussions and Q&A sessions are conducted online using another service. She administers her course using a learning management system. Three services, three vendors, three potential sources of learning data.

Analyzing the viewing behavior of her students in relation to the questions they pose about her course content is vital to understanding student comprehension and performance. Yet exploring such relationships is all too often a challenging exercise. Likely there are significant barriers to overcome. Is the data required for analysis actually collected? If it exists, who owns it? If ownership is not an issue what about privacy concerns? If privacy protocols are in place is the data easy to retrieve? If retrievable how difficult is it to combine with data sourced from other platforms?

The Caliper Analytics? specification seeks to address a number of the issues outlined above by providing a structured approach to describing, collecting and exchanging learning activity data. Establishing a common vocabulary for describing learning interactions is a central objective. Promoting data interoperability, data sharing and data-informed decision making are also important goals.

Caliper also defines an application programming interface (the Sensor API?) for marshalling and transmitting event data from instrumented applications to target endpoints for storage, analysis and use. Industry-wide adoption of Caliper offers the tantalizing prospect of a more unified learning data environment in which to build new and innovative services designed to measure, infer, predict, report and visualize.

• This reply was modified 6 years, 9 months ago by Antonio D..

Thank you