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 lab explores how AI bots can help the elderly

AI for aging

The University of Houston’s Empathetic Lifespan AI & Robotics for Aging (ELARA) Lab is currently conducting research into how AI bots may be able to help the elderly live more social and independent lives through several ongoing initiatives.

The lab officially launched last month as part of the Gerald D. Hines College of Architecture & Design under the leadership of Assistant Professor Chorong Park. Part of the lab’s mission is tackling ongoing problems with aging, such as dealing with disabilities and social isolation. Researchers’ current work is focused on designing a new AI companion bot specifically tailored to the needs of older people.

“We need to take all the needs of older adults seriously,” Park said in a news release. “They won't use the robot if they don't feel at ease or if they feel they are being constantly watched.”

The field testing of new AI bots in this population hopes to overcome several traditional obstacles in technology use among the elderly. A study by Park shows that many older people have a fear of overt surveillance when using advanced AI. There is also ageism to consider. Most new technologies are designed with younger and employed buyers in mind, not retirees who may need help remembering daily tasks or accessing important information.

“The more older adults are excluded from technology development, the worse those technology gaps will become,” Park said. “AI and the majority of technologies are created for younger people, so my research method integrates older adults directly into the design process.”

ELARA recently collaborated with the Mamie George Community Center in Richmond, Texas, to track seniors’ response to desktop AI bots like Emo and Cupboo. Researchers also had participants use air-dry modeling clay to create their ideal robotic companion.

While the eventual AI bot may be able to help the elderly feel less isolated and more supported, there are concerns to consider. A study published in the Asian Journal of Psychology charted the development of delusional thinking in a 72-year-old woman who became convinced the empathic-response bot was in love with her. The rise of “AI psychosis” has the potential to exacerbate mental health problems, particularly in socially isolated people, which a quarter of Americans over the age of 65 are.

ELARA’s research is focused on creating “pet-like” AI models with enhanced trust cues. If it can overcome the dangers of socially isolated people relying on AI for companionship, it could be a big step forward for independent aging.

SpaceX IPO set to be biggest ever and could make Elon Musk a trillionaire

IPO News

SpaceX says it plans to raise up to $75 billion when it goes public this month, setting the stage for the largest-ever stock market debut and putting Elon Musk on course to becoming the world's first trillionaire.

The company, formally known as Space Exploration Technologies Corp., said Wednesday it will sell 555.6 million shares at $135 a piece in an initial public offering. The estimated proceeds would easily top the $26 billion raised by oil giant Saudi Aramco in 2019. The offering would also give SpaceX a market value of $1.77 trillion. Only six companies in the S&P 500 are currently worth more, with Nvidia tops at $5.2 trillion.

Besides the size of the offering and the expected proceeds, SpaceX's amended prospectus updates details about how much control of the company Musk will have. As SpaceX's CEO, chief technical officer and chairman, Musk's voting power will come primarily through his ownership of 5.22 billion Class B shares, which give the holder 10 votes for every share held. According to the filing, Musk would have 82.4% of the voting power in the company.

Forbes currently values Musk's net worth at $826 billion and his stake in SpaceX at $542 billion. The estimated value of his SpaceX holdings was based on an overall value for the company of $1.25 trillion. Based on those numbers, a $1.77 trillion valuation for SpaceX would boost Musk's net worth by $223 billion, making him a trillionaire. However, much of Musk's worth is in stock that he has yet to cash in.

Even as it makes a bid for a blockbuster market debut, SpaceX is currently losing billions of dollars a year. The filing shows that the company lost $2.6 billion from operations last year on $18.7 billion in revenue, and the losses kept piling up at the start of this year, too.

Fantastical plans

Time will tell how SpaceX fares on the market. Musk's plans for the company are as fantastical as the money he hopes raise in the sale.

Colorful, even frightening in parts, the IPO document strikes a contrast with the typically dry, technical prose in IPO documents, detailing plans to use proceeds from the sale to help put men on the moon again and perhaps even Mars. In one section, it talks of a need to build "a permanent human colony" on the red planet with "at least one million inhabitants" as existential threats loom that could consign man to "the same fate as the dinosaurs."

Musk has almost equally ambitious plans for his other publicly traded company, Tesla. His goal is to transform the maker of electric vehicles into a producer of robotaxis and humanoid robots. Dan Ives of Wedbush Securities wrote in a research note that he expects Tesla and SpaceX to merge next year.

AI plays a key role

Key to the success of both companies — and any merged entity — is artificial intelligence. In its IPO filing, SpaceX says it sees potential revenue from AI of up to $26.5 trillion. But that depends on another lofty Musk ambition — putting data centers in space, which is not technologically possible at the moment.

Transforming his space company into a primarily AI-focused company will be a challenge for Musk, who started xAI in 2023 with 11 other co-founders who have all since left. Some were recruited away by rivals.

Its main AI product, the chatbot Grok, is "less impressive than anything that we see from any other major player in the space, whether that's OpenAI, or Anthropic, or (Google's) Gemini," said IDC analyst Arnal Dayaratna.

Dayaratna said that doesn't mean SpaceX doesn't have potential as a major AI player, thanks in part to its computing partnership with Anthropic and Musk's recent deal that gave SpaceX the rights to buy AI coding tool Cursor for $60 billion later this year. Folding in Cursor's capabilities would give SpaceX access to the coveted business customers now using Anthropic's Claude or OpenAI's ChatGPT.

SpaceX plans to use the net proceeds from the IPO to fund the expansion of infrastructure for its AI and rocket businesses, and to beef up the constellation of satellites that power Starlink Mobile, among other investments.

The company plans to list on the Nasdaq under the symbol "SPCX" and could begin trading as soon as the end of next week.

And SpaceX isn't the only colossal market debut investors are now bracing for. Earlier this week, Anthropic submitted a confidential filing with the U.S. Securities and Exchange Commission to officially start its own IPO clock.

OpenAI has not yet reported filing the initial SEC paperwork, but an IPO from the ChatGPT maker is widely expected.

"This listing represents the first major test for public markets after years of muted IPO activity with SpaceX paving the way for AI giants Anthropic and OpenAI to follow soon after," Ives wrote.

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Associated Press Technology Writer Matt O'Brien contributed.

New UH survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.