Gary Ackerman @garyackerman@qoto.org

One way to avoid “there is no way I can make all of my stuff accessible” is to not build your class with inaccessible materials in the first place.

Generative AI isn't a silver bullet: risks include incorrect or biased content (hallucinations) and potential misuse. Enterprises need a strategic approach with clear objectives and safeguards.

Traditional AI (Narrow AI) operates using classical data science for prediction or classification tasks. It's deterministic, acting within predefined boundaries and rules.

Need to see how well your sample data fits a predefined population distribution? The chi-square goodness of fit test is your go-to! It compares observed vs. expected frequencies. #Statistics

The "objective measurements" advocates sought for standardized tests are only possible when the environment's variation is removed. This is not feasible with human learning. #EducationResearch

Students live in a "rich and variable environment" that cannot be controlled like a laboratory experiment. This makes it difficult to attribute performance changes solely to instructional practices. #LearningEnvironments

Standardized testing was "doomed to fail from the very beginning". The rationale to measure "what works" in education, like a science experiment, was fundamentally flawed. #EdReform

"Nothing is more dangerous than a dogmatic worldview - nothing more constraining, more blinding to innovation, more destructive of openness to novelty." -- Stephen Jay Gould

A blog post, now with audio, focusing on the problems of testing as a data source in education. https://hackscience.education/2018/09/24/why-standardized-testing-flopped/

Professional learning for educators encompasses: Training (procedures), Learning (understanding tech's role), and Design (creating new solutions). Each requires a different approach. #ProfessionalDevelopment #EdTechPD

"Future workers need complex communication & expert thinking skills, as routine tasks are automated. Schools must broaden curriculum to include these crucial 21st-century competencies." Is this still true?

Weak AI plays chess. Strong AI asks why we play.

Technology is non-neutral! Digital information is a paradigm medium profoundly affecting human cognition, behavior, social organizations, and society's norms. Schools must reflect this reality. #DigitalLiteracy #SocietalChange

The Unified Theory of Acceptance and Use of Technology (UTAUT) explains tech use based on performance expectancy, effort expectancy, social influences, & facilitating conditions. User perceptions drive acceptance. #TechAcceptance #EdTechResearch

Theory is crucial for efficacious IT management. It helps identify relevant factors, predict changes, and explain observations, steering decisions away from unreliable "fads." #EdTechTheory #DataDrivenDecisions

Effective IT in schools must be appropriate (for teaching/learning), properly configured (functions as expected), & reasonably implemented (considering resources). These 3 dimensions are interdependent. #ITGovernance #SchoolManagement

A core root cause of inefficacy in school IT management is a lack of shared understanding among disparate professionals. Building a common language & understanding is essential. #SharedVision #EdTechLeaders

Putt's Law captures school IT challenges: Professionals manage what they don't understand (pedagogy or IT complexity). Collaboration is key to bridge this gap for appropriate, proper, & reasonable tech. #SchoolLeadership #TechManagement

Schools are information-rich places, but managing tech for teaching & learning is complex. It requires collaboration between educators, IT pros, & school leaders for efficacious technology management. #EdTech #SchoolIT

Yeah, I admit it. One of my goals as a #teacher was to prepare my #students to recognize, call out, and contradict stupid ideas. I guess that makes me a “political” teacher.