When Pasteur advocated rigorous washing in hospitals by doctors and nurses as a way to fight off infections, particularly during surgical operations, he was scorned. In the nineteenth century, many health professionals believed diseases were spontaneously generated, possibly influenced by the theory of evolution. Later, when it was proved that germs enter living organisms from the environment, hygiene and attention to washing and cleanliness took its position in medical practice.
That was a case where practice and concept (or theory) were mismatched. In such cases, education and public awareness campaigns are powerful tools for bridging the gap.
In a similar vein, bill shock prevention could be falling into that class. If you read this Syniverse bill shock prevention document, bill shock prevention has the mobile subscriber in mind. It enables subscribers to set spending and/or usage thresholds based on pre-established policies.
Unfortunately, a recent study has called its economic value into question. The study conducted by Mathew Osborne, an assistant professor of marketing at the University of Toronto Mississauga, and Michael Grubb, an assistant professor of economics of Boston College, argues that the practice might be going contrary to the claims.
Bill shock prevention might be costing subscribers.
By sending timely SMS or email alerts to customers when plan threshold is about to be breached, mobile network operators hope to save their customers' money, make them happier and increase company revenue while protecting themselves against customer churn. It seems that is but a concept.
In reality, such SMS or email alerts induces a secondary behavior on the subscribers. It makes them to decrease their network usage, stop using the plan or switch to a wrong plan. All these makes the cost of usage more expensive for the subscriber.
It is estimated that the average subscriber cost increment when network operators implement bill shock prevention strategies is about $33. Calculate this by the subscriber base of each mobile operator and you’ll understand why this is possibly an externality the society might have to address.
To bridge the gap, subscribers have to be more educated on their plan usage details. They should have access to summaries of past usage, to weekly and monthly usage histories. "Perhaps a better avenue is policy that helps consumers do a better job of forecasting their usage," they posit.
Whatever the case, this externality is not common to network operators only. Utility companies, banking overdrafts and health insurance do fall into this category of mismatches which might have to be addressed.
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Showing posts with label education. Show all posts
Showing posts with label education. Show all posts
An educational test tool for school, teacher and class engagement for greater learning
When a prepared teacher walks into a classroom his aim is to make the students active participants in the learning process. That is what engagement is about. Engagement of students in active learning brings about predictable outcomes – increased achievement in standardized test scores and assessment, reduced dropout rates and enrollment in challenging courses. Student engagement should cut across the three dimensions of learning, hence, affective, behavioral and cognitive, whether at the classroom or school level.
How does a school, administrator or teacher measure the frequency of his/her students’ engagement?
According to research from student motivation and psychology, when students participate in class, they could be driven by many factors. One of them is the desire to cooperate in the process and learning, so that the teacher, the oppressor, should not bother them. This is what a teacher wants to avoid. Another is to put the maximal effort without any external compulsive force to show exemplary academic behavior. This latter is a good in a class.
Another reason why an engagement measuring tool is important is that children learn across different developmental stages. The learning predisposition of kindergartens, elementary school, middle high and senior high school students are different. It is known that elementary and kindergarten school pupils are more attuned to affective or emotional learning styles more than high school students.
To fill this knowledge gap in measuring engagement, Ze Wang, associate professor of educational, school and counseling psychology in the College of Education at Missouri University, MU, along with other colleagues produced a classroom engagement inventory (CEI) tool.
The classroom engagement inventory or CEI tool measures student engagement in both the classroom and school level. School level engagement is a prompt for teachers and educators to test why students chose or exempt themselves from out-of-school learning; it measures their interest in schooling at a holistic level. Classroom level engagement would answer questions such as: what can teachers do to make their students participate more in class activities, how can a teacher’s teaching effectiveness be evaluated, how can teachers know and understand how their students perceive them, and understand the relationship between engagement and learning.
The CEI tool has been shown by studies to be consistent and validated. It has been consistent whether the students or pupils have variable characteristics such as ethnicity, income of the family, age, subject and gender. According to Ze Wang, the goal of a tool like CEI is to lead the teacher and students to greater learning.
You can download a copy of the research.
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[Infographic]: Summarized facts on MOOCS, massive open online courses
MOOCS which stands for Massive Open Online Courses provide learning opportunities for millions of people who are working full time or part-time.
The link below is to an infographic that summarizes the essentials of MOOC: definition, providers, statistics etc.
MOOCs.com: Massive Open Online Courses.
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Stop! Stop stereotyping boys and girls.
A good teacher should be quick to recognize the fact that gender stereotypes exist. I personally can attest to that being a teacher myself; though presently out of favor.
A recent OECD study, reported by the BBC, has shed more light on that fact.
If we tend to label boys as stupid and girls as cleverer, the answer does not lie in the gene. It lies in us, the adults and how we have structured the society. The answer lies in the self-confidence we have imbibed in these young adults as teachers, parents and guardians of their psycho-social, moral and intellectual capabilities.
The answer lies in parental and educational expectations we place on them. These expectations have created a gender inequality in education in Africa because most parents believe girls are good only in the kitchen and for giving birth to babies, so what uses wasting hard-earned money investing in them?
The answer lies in our cultural biases; as noted also above. How many girls are taught leadership education? A girl would be scoffed at if her aim is to be the President of the country in the future.
It is also found in the school system. How are the curriculum developed? What is the aim of policy, educational programs and teacher professional development programs in our schools?
Let’s start making these issues straight before labeling those young adults as clever, stupid, dull, smart, brilliant etc, especially writing gender labels that won’t wipe away easily.
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