THE IMPART OF POLICY AND STRATEGIC PLANNING ON SYSTEMS-LEVEL DEPLOYMENT OF LEARNING ANALYTICS.

Systems level deployment of learning analytics can help in making predictions, determining risks, determining course sequences, and evaluating help seeking behaviors. This can help improve retention, graduation rates, and passing rates on various exams. It can also lead to proper allocation of resources and efficiency in the management of man-power and physical resources.

HAPPY THANKSGIVING TO ALL MY USA FANS!

For all my readers from USA, I want to wish you all

HAPPY THANKSGIVING!

As you eat your turkey, meticulously identify the epithelial tissues, the connective tissues, the muscle tissues, etc. Dissect the turkey with care!

Let your mind wonder about how its proteins were made. PROTEIN SYNTHESIS!

Remember the blood cells are formed in the bone marrow so savor the juicy marrow to derive some iron. IRON is needed for the formation of the hemoglobin in the red blood cells.

Explore the cartilage at the end of the bones and enjoy the sight of its glassy appearance!

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HAVE FUN WITH YOUR TURKEY!

THE LEARNING ANALYTIC CYCLE

The learning analytic cycle follows this order:

1. Collection and acquisition of the data: The collection of the data depends on the intended purpose such as marketing, advising, learning or for administrative purposes. So the data can be obtained from sources such as student information systems, learning information systems, student cards, social media sites, student success systems, etc.

2. Storage: The collected data has to be stored in a secure environment or data repository for safe keeping, privacy and confidentiality.

3. Cleaning of data: The stored data has to be cleaned since it may be structured or unstructured. This can be done using various cleaning tools.

4. Integration: The cleaned data has to be integrated into the selected analytic tool such as Tableau, R, Google Analytic, etc.

5. Analysis: The data is then analyzed and a concept is developed. The type of analysis done depends on the questions being asked or patterns sought for. For example, the course sequence taken, level of preparedness, important teaching and learning variables, social networks, pre-university profiles, or patterns of seeking help. This helps to make various predictions. This analysis can be done using tools and techniques such as SNA, NLP, etc.

6. Representation and Visualization: The output can be generated in various visualizations and dashboards.

7. Action: Once the needed information is obtained, it is now time to implement some actions such as interventions for failing students, improvement interventions, guiding students, alert/warning systems, or optimization of the event under consideration.

GOOGLE ANALYTICS

Google Analytics is a tool that helps you to;

• Get to know your audience.
• Trace the visitor's or customer's path to your site
• See what the visitor or the customer is up to or doing at the site

All these measures help you to tailor your marketing or ad to the customer. It improves the customer's experience on your site.

How does it help you to get to know your audience and trace the customer's path?

• It analyzes the visitor traffic to your site. 
• It can tell you about the referral site
• It can tell you about the type of device used to assess the site and its geographical location 
• It helps you to paint a complete picture of your customer's need.

How does it let you know what your customers are doing?

• When people visit your website, it can display or help you visualize how they interact with your site. You learn about what they are looking for, how many times they look for something, what they click on, what they like, etc.
• How long they stay on a particular page..............

This is how Google Analytic help you tailor all your marketing activity for maximum impact on the customer.

You can click on this link to take a free course on Google Analytics.