Autism and Education – Temple Grandin on “Educating Students Who Have Different Kinds of Minds.”

Temple Grandin on autism and education

Temple Grandin on autism and education

Temple Grandin on “Educating Students Who Have Different Kinds of Minds.”

Temple Grandin (Professor of Animal Science, Colorado State University) gives the Sunday keynote for the American Academy of Arts and Sciences’ Induction Weekend on “Educating Students Who Have Different Kinds of Minds.”

Certainly! Here’s the revised text:

“Temple Grandin on autism and education

Temple Grandin, Professor of Animal Science at Colorado State University, gives the Sunday keynote address for the American Academy of Arts and Sciences’ Induction Weekend on the topic of “Educating Students Who Have Different Kinds of Minds.”

Autism and Education – Please can you help my wife and I with a problem? Thanks

Autism and Education

Autism and Education

Yes, I know the theme of this week’s blogging about autism seems to be education.

But I can defend this on the grounds that John, our eight-year-old son, is still in education, so it is of great interest. But I really need your help and advice with a problem that has just arisen.

So firstly, a bit of background!

As we have mentioned before, our son attends ResourceBase, which is a halfway house between a specialist ASD school and a mainstream one. I’ve blogged about it in some detail here if you are interested.

As I have mentioned in previous blog posts, my wife and I are very pleased with John’s development at the Resourcebase. The numerous staff members are committed and caring. Above all, they are properly trained to do their jobs, and that training is ongoing.

Indeed, John has progressed rapidly in the nearly two years he has been at ResourseBase.

That being said, he still has some way to go before he reaches parity with his peers. There are a number of reasons for this, but most especially, there are his problems with handwriting, which in turn are caused by his many issues with fine motor skills. He does need some intensive work, in particular, in occupational therapy, to help him move forward.

So, his mother and I have suggested to the school that they keep him down a year next year so that he can cement the skills he has already learned and develop those he needs before it is time to move on to new challenges. He also needs to make up for lost therapy during his time in mainstream education.

The school’s reaction has not been positive so far. This is not really from the school but from the local government body that deals with education. For those of you who do not know, my family and I live in London, England.

There are a number of reasons stated, but mainly, it comes down to transitioning our son to other schools when he has finished his current stage. In the UK, this transition normally takes place at the age of 11. But we know from our own experience that it has been shared for autistic children to be “kept down a year,” in fact, with much success.

So why would we like your help?

Very simple.

Please share your thoughts on this problem in the comments section below.

In particular, we are interested in your views on the following questions.

a) Do you think keeping an autistic child “down a year” is a good or bad idea in principle?
b) Have you had any experience with this yourself? Please tell your story in the comments section below.
c) What happened when you child transitioned out of education or to a new level such as high school or university?
d) In general, when you disagreed with the proposals of your child’s education providers, how did that work out?

My wife and I would love to read your comments to help prepare a case to give our son the best education possible.

I really appreciate any help you can provide.

PS If you know of anyone who might be able to help with any of these questions please can you share this blog post with them. Thx.

AI aids early detection of autism

Matthew DeCamp, MD, Ph.D., and other University of Colorado School of Medicine researchers are shining a light on artificial intelligence’s role — and appearance — in health care.

A new study from Karolinska Institutet reveals that a new machine learning model can predict autism in young children based on limited information. Early detection is crucial for providing timely support, making this model a potentially valuable tool for facilitating early intervention.

“Kristiina Tammimies, Associate Professor at KIND, the Department of Women’s and Children’s Health at Karolinska Institutet and the last author of the study, states, “With an accuracy of almost 80 percent for children under the age of two, we hope that this will be a valuable tool for healthcare.”

The research team utilized the SPARK database, which contains data on around 30,000 individuals with and without autism spectrum disorders in the US.

The researchers created four different machine-learning models by analyzing 28 different parameters to identify patterns in the data. These parameters included information about children that could be obtained without extensive assessments and medical tests before they reached 24 months of age. The most successful model was called ‘AutMedAI’.

In a study involving around 12,000 individuals, the AutMedAI model successfully identified approximately 80% of children with autism. The age at which a child first smiled, uttered a short sentence, and experienced eating difficulties, when considered in specific combinations with other parameters, emerged as strong predictors of autism.

“The results of the study are significant because they show that it is possible to identify individuals who are likely to have autism from relatively limited and readily available information,” says study first author Shyam Rajagopalan, an affiliated researcher at the same department at Karolinska Institutet and currently an assistant professor at the Institute of Bioinformatics and Applied Technology in India.

Early diagnosis is crucial, according to researchers, for implementing effective interventions to help children with autism develop optimally.

In the study, the AI model demonstrated good results in identifying children with more extensive difficulties in social communication and cognitive ability, as well as having more general developmental delays.

The research team is currently planning additional enhancements and validation of the model in clinical settings. They are also working on incorporating genetic information into the model, which could result in even more specific and accurate predictions.

“To ensure that the model is reliable enough to be implemented in clinical contexts, rigorous work and careful validation are required. I want to emphasize that our goal is for the model to become a valuable tool for health care, and it is not intended to replace a clinical assessment of autism,” says Kristiina Tammimies.

Understanding Diversity in Autism Research

“Diversity is a key characteristic of autism, but current autism research does not fully represent the wide range of individuals on the spectrum. Constance Smith-Hicks, M.D., Ph.D., Bradley Schlaggar, Ph.D., Ebony Holliday, Ph.D., and Omar Shanta discussed the current state of diversity research in autism. They highlighted the barriers to including individuals from diverse backgrounds and abilities as participants in autism research and suggested strategies to overcome these challenges.”