What is Self Talk?

Self Talk includes all the random thoughts that run through our mind. A simple way of defining Self Talk is that it is talking silently to oneself. Self talk can be positive, it can tell us what to do, where to focus, and get one motivated. Unfortunately, self talk can also be negative and critical. Such internal talk definitely does not help performance and,in most cases, probably hurts performance.

Positive Self Talk is the stuff that makes you feel good about yourself and the things that are going on in your life. It is like having an optimistic voice in your head that always looks on the bright side.

Example - I can do it.

Negative Self Talk is the stuff that makes you feel pretty crappy about yourself and things that are going on. It can put a downer on anything, whether it is good or bad.

Example - "Everything is bad and nothing is going to get better”

When Self Talk goes away from the usual?

1. When user is focusing more on the Past or Future.
2. When user is focusing on weaknesses during competition.
3. When user is focusing on only 'Out Come'. i.e. I am best than others.
4. When user is focusing on uncontrollable factors.
5. Demanding Perfection.

How to Listen and Change your Self Talk ?

1. Observe the Self Talk on Daily Basis
2. Decide what sort of Self Talk you want to hear
3. Catch or generate Flag whenever you begin to Self Talk in a negative manner.
4. Managing your Self Talk on Daily Basis.
5. Figure out what type of positive Self Talk will encourage and motivate you throughout the day and then strive to stay in that frame of mind.
6. Discard Self Talk that is self-defeating or projects anger.

To Be Continued ???

This is the basic terminology I try to explained. If you like my article and wants to know in detail terminology than let me know. I will publish the second part of this article with more detailing such as:

• How to Overcome Procrastination Using Self Talk.
• "Stopping" Negative Self - talk
• Tips on Self Talk Management
• Example

References:

http://www.wikihow.com/Listen-to-and-Change-Your-Self-Talk

http://www.eacgators.com/selftalk.pdf

Big Data in Education Domain

Education Domain has always had the power to generate a large amount of data. Start with Academic study requirement that includes long hours of school & homework, 5+ days per week turns into years. These exercise produce a huge quantity of information.

We are now able to collect and track this data using LMS (Learning Management Systems), Social networks, and other media that reach how students interpret, consider, and arrive at conclusions about course material.

The best part is that this information – called Big Data – can do helpful within the Education Sector. Using this solution, there could be the rise of many risks like Privacy, Security aspect all of which need to be addressed before starting on it.

What is Big Data: Big data is a large volume unstructured data which cannot be handled by standard database management systems like DBMS, RDBMS or ORDBMS.

What Big Data can do: Big Data allows for the analysis and prediction of behavior in a huge variety of demographics, skills, potentials – anything user can think for purpose of measuring.

How Big Data can Impact on Education: In Education Sector, these data points can being used to help institutional / organization strategies, personalized learning environments etc.

At initial level, Education can take below steps to start on it:

• Educational Data Mining: This layer will focus on developing new algorithms and discovering data patterns for Students.
• Learning Analytic: This layer will focus on applying tools and techniques at big scales in system.

Process:

• Online Learning System for Student – Front end Interface.
• Database – Detailed data about student’s experience.
• Predictive Analysis - The data is used to make predictions about knowing student’s future performance.
• All Predictions data are visible on parent & teacher dashboards.
• Students are getting learning material based on their performance level and interests.
• Parents & Teacher user can negotiate and help us necessary.

Challenges:

• Investments are require to store logged data, to hire data mining engineer.
• Privacy need to be sustained.
• Maintaining one picture from data can be difficult.
• Identification for which data should be mined and analyzed is challenge.

How to Develop Strategy:

• Develop a culture that uses data in making instructional decisions.
• Planning for Data collection and use.
• Focused Areas where data will help and build.
• Communication medium for parents & students about how the data is collected & stored.

References:

• http://www.innovationexcellence.com/blog/2014/01/29/big-data-in-education-big-potential-or-big-mistake/
• http://www.knewton.com/blog/ceo-jose-ferreira/big-data-in-education/
• http://www.bigdata-startups.com/