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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New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

SpaceX to get more than 700 acres of Texas wildlife refuge in land swap

Space News

A federal judge on Monday, September 21, refused to block the Trump administration from giving SpaceX more than 700 acres of wildlife refuge as part of a land swap in Texas, while environmental groups vowed to continue their legal challenge.

U.S. District Judge Fernando Rodriguez Jr. declined the plaintiffs' request for a preliminary injunction to prevent the parcel exchange, saying they failed to prove it would worsen ecological risks to a Gulf Coast region already transformed by billionaire Elon Musk’s rocket operations.

In June, the U.S. Fish and Wildlife Service approved moving forward with the deal with SpaceX, which would surrender 683 acres the company owns in exchange for the federal land in the Lower Rio Grande Valley National Wildlife Refuge. The 103,000-acre refuge spans four counties along the Texas border and is home to animal habitats and historical landmarks.

Maps show the land SpaceX would acquire would be closer to the company's launchpad near the U.S.-Mexico border.

The swap amounts to a gift of public lands to SpaceX, “clearing the way for bulldozers to tear into this wildlife refuge as soon as next week and turn a public treasure into a private payday,” said Laiken Jordahl, a spokesperson with the Center for Biological Diversity, which filed the lawsuit alongside other opponents including tribal groups. Jordahl said Monday that the litigation will continue even as the exchange goes forward.

“This court order is not the final word. These lands hold incredible spiritual, historical and conservation value for the people and wildlife of South Texas. We won’t stop fighting to keep this irreplaceable public wildlife refuge safe from SpaceX bulldozers,” Jordahl said in a statement.

The lawsuit asks the federal court to halt the exchange, which has worried SpaceX opponents in the area who have long criticized the company's expanding footprint over lost access to beaches and concerns over exploding rockets.

The Fish and Wildlife Service didn’t respond to a request for comment on Monday’s decision. Previously, a spokesperson had said the agency does not comment on ongoing litigation.

The agency issued a final environmental assessment report in June that determined the exchange would cause no significant impact to the area. The report said the federal government believed the acquisition would represent a “net conservation benefit” and provide “substantial long-term conservation value and improving landscape-scale habitat connectivity across refuges in South Texas.”

The judge said that the plaintiffs offered “relatively weak” evidence of environmental harm.

“While they rightfully argue that the preservation of wildlife and historical lands furthers the public interest, they present no evidence demonstrating that the Property will suffer aesthetic, environmental, cultural, or historical degradation during the pendency of this lawsuit,” Rodriguez wrote in his ruling.

In addition, the judge said a preliminary injunction would result in modifications to SpaceX’s development plans, “placing additional hardship on the company’s ability to meet milestones and contractual obligations.”

SpaceX did not return an email seeking comment on the judge's ruling.

The space exploration company first broke ground in Texas more than a decade ago and has expanded rapidly, so much that SpaceX employees last year voted to incorporate their own local government called Starbase.