By harnessing the power of AI, Sibme will boost the effectiveness of instructional coaching and save teachers’ time as they receive data and feedback in real time on how they conduct their classroom lessons. Photo via Getty Images

Not many adages stand the test of time quite like this one: to be the best, learn from the best.

Sage advice, which is why Houston-based Sibme, the learning engagement platform designed by teachers, is introducing an all-new artificial intelligence tool to transform professional learning for teachers.

By harnessing the power of AI, Sibme will boost the effectiveness of instructional coaching and save teachers’ time as they receive data and feedback in real time on how they conduct their classroom lessons. This is accomplished by providing teachers with more opportunities for meaningful, in-depth conversations with their instructional coaches through automatically generated quantitative data on video and audio recordings of teachers’ classroom instruction.

“When David Wakefield founded the company in 2013, it was primarily based on something that was pretty difficult to do at the time, which was just being able to record and upload video in classrooms,” COO TJ Hoffman tells InnovationMap. “Sibme was the first mobile-first technology that made it possible to upload a video longer than an hour into the cloud. And that was sort of our original approach in the classrooms.

Wakefield and Hoffman were former teachers, with former working in Houston ISD, and the latter in Pasadena ISD.

"We recognized that a lot of the ways in which teachers are trained in traditional workshops, or trainings like modules online and stuff like that, weren't in any way improving our ability to do our jobs as teachers," Hoffman says. “And the thing that really did make it easy for us to grow as teachers was watching other teachers teach and being able to ask them questions and that sort of stuff.

"It's hard to do in schools because teachers are in classrooms with kids all day long," Hoffman continues. "There's no time for them to leave and go watch someone else do their job. So that idea of recording a video and annotating it with comments and asking feedback three minutes in, like ‘Hey, why did you ask that question of that student that way?’ That was something that we originally did, and that's been the primary driver of our growth over the last ten years.”

Efficient education for the educators

With the tagline, “making every moment a teachable moment,” Sibme has broken through as the go-to learning engagement platform for professional development, replete with coaching, cohort-based professional learning communities and peer-to-peer collaboration.

“The thing that we've recognized and have worked on for the last couple of years is, if I record and upload a 45-minute lesson and share it with the teacher next door or the principal at the school or somebody else, they've got to watch it for 45 minutes and that's time-consuming as well,” says Hoffman. “Our newest iteration, our AI tools, make it easier to identify key moments in a video that are related to things that a teacher can do better to reach kids more equitably and more effectively so that they're learning better.”

Not surprisingly, the creators of Sibme are excited about the AI component, which is able to watch the videos, transcribe them and identify key moments where the teacher asks important questions in those videos.

“Now with the AI tool, I can go straight to those moments and see which kids I have called on, what kinds of questions I have asked them, who responded and who hasn't, so it helps teachers develop better strategies for reaching kids.”

Practice makes progress, according to the Sibme platform, which embeds training and collaboration in every workday, engaging employees while building a stronger community of learners.

“Sibme builds off the same principle of athletes,” adds Wakefield. “I can watch a million Astros games, but I'm not going to be a better baseball player until I pick up a bat or pick up a glove and actually start playing and then get coaching on it, right? It's the same principle for training teachers. Teaching is a complex activity. I can't just show you how to teach or tell you how to teach and then you can do it.

“You've got to get up and teach, and then you've got to get really concrete feedback the same way that a great coach provides concrete feedback to a player. Hold the bat a little bit differently or, you know, lean on your left hip. Those real kind of small changes, it's the same thing with a teacher. You know, walk to the left side of the room. Being able to actually provide that feedback on the teacher's work rather than saying, here's how you should teach, which is what training typically does, right? Training is just theory, not actual practice. This is giving teachers an opportunity to rehearse and then get coached by a real coach, whether that coach is someone with a formal title of instructional coach or just the teacher next door.”

Making the network work

Sibme’s novel, yet simple approach to improving teachers via their peers has proven to be much more effective than the typical training methods of the past.

Currently, Sibme works with more than 1,000 innovative schools, districts, and institutions – including Houghton Mifflin Harcourt, ASCD, Scholastic, the University of Texas, and the Houston Independent School District.

“At this point, I believe we're in 40 states,” says Wakefield. “We're also in some international countries. We have some channel partners that have also helped distribute for us. We probably are in every state in the US in some form or another, in a white-labeled version or within our own Sibme platform. We're definitely one of the leaders in our space for this type of next-generation solutions for professional learning and training.”

And as schools nationwide try to battle with teacher retention, Sibme offers its own solution by giving teachers concrete evidence that they are growing and improving as educators. After all, Sibme is an acronym for “Seeing is Believing Me,” which means that teachers will likely stay onboard if they feel that they are succeeding.

“One of our principals said that they don't have a retention problem because they invest so much in teacher excellence,” says Wakefield. “And when teachers feel successful, then they don't leave. They had, I think it was like an 86 percent decline in teacher turnover in one year just from the teachers being able to look at themselves and see that they’re growing and getting better and improving. That has a huge impact on their feelings of success in their jobs.”

A bright future

With more than 10 years under its belt, Sibme hopes the next 10 will offer even more advancements in the professional development space.

“We're sort of in that first sort of initial iteration of our release with AI,” says Wakefield. “That's only going to improve where things will just become more and more automated. The platform is just going to be able to help them do their work much more efficiently in the future. And they can coach and support far more people than they ever could without AI. And the experts can come in and leverage the AI to be so much more effective at their jobs.

“We’ll continue preparing the next generation of teachers, as well as in university teacher prep programs, so that teachers are getting better prepared for the realities of the classroom by getting a lot more reflection and practice.”

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”