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Education
23 posts about Education. Every summary links to the original.
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Google Summer of Code 2026 With the Kotlin Foundation: Recap
The Kotlin Foundation wrapped up its fourth Google Summer of Code program in 2026, supporting two projects by Ayako Hayasaka and Mark Seif Khalil. Ayako implemented tail-call support in the Kotlin/Wasm backend, using return_call and return_call_ref instructions to avoid stack growth in recursive programs, and then found and fixed a missing optimization for return_call in the V8 engine that caused a performance regression. Mark built a database and automated pipeline to collect and structure scattered information about where Kotlin is taught worldwide, covering courses, curricula, repositories, and learning platforms. In Ayako’s benchmarks, several recursive patterns achieved 1.7 to 4.3 times faster execution at a recursion depth of 10,000, and at a depth of one million, the same programs crashed without tail calls but completed successfully with them. The education landscape project now provides a reusable foundation for monitoring Kotlin’s presence in education and identifying trends and gaps.
Coding, Math, and AI: What’s Ahead for School Students in 2026–2027
JetBrains Academy is offering free Youth Clubs in mathematics, AI, and coding for school students in 2026-2027, with registration open until October 31 for the Math and AI clubs and the Coding Club starting October 22. In-person JetBrains Coding Cups will be held in Cyprus, Poland, and Serbia for students aged 13-19, and the Cyprus Programming Challenge returns for its fourth edition on November 8. The Youth Coding Challenge on November 29 features Junior and Senior leagues, with winners potentially invited to advanced programs like the Youth Coding Club or the ACTS camp. The ACTS 2027.1 camp in Cyprus from March 15-25 offers tracks in Competitive Programming, Software Engineering, and Artificial Intelligence, with the AI track by invitation only for national teams from five countries and 20 students from Cyprus. Participants develop skills through practical assignments and challenging problems alongside like-minded peers.
One Size Onboarding Does Not Fit All
Differentiating user onboarding is essential because a one-size-fits-all approach fails to address varying learning styles and paces. Drawing from educational principles, the post advocates scaffolding through self-serve resources like documentation, videos, and blog posts to support different learning preferences. Live conversations via a support tool enable real-time clarification and uncover unanticipated questions, while personal demos and webinars provide one-on-one or group tutoring for deeper engagement. Data-driven messaging schedules, triggered by user events and attributes, ensure customers receive pertinent guidance just in time without being overwhelmed. This strategic variety helps users extract value efficiently, reducing churn and support load, and ultimately converting them into satisfied, paying customers.
Higher education advisory board and AI Fluency courses
Anthropic announces two initiatives for higher education: an advisory board to guide Claude’s development for teaching, learning, and research, and three AI Fluency courses co-created with educators. The board, chaired by Rick Levin, includes academic leaders whose expertise spans university leadership, educational technology, learning science, and postsecondary policy, with a stated aim of strengthening learning and critical thinking while upholding academic integrity and student privacy. The courses address educators, students, and institutions: they cover classroom materials and assessments, responsible AI collaboration, critical thinking, personal commitments, instruction, assessment, and curriculum planning. Co-developed with Rick Dakan and Joseph Feller, all three are available under a Creative Commons license so institutions can adapt them. The announcement positions the board as strategic guidance and the courses as practical support for universities navigating AI integration.
Education Report: How educators use Claude
An analysis of educator AI adoption in higher education examines how faculty use Claude across teaching, research, and administration. The researchers analyzed approximately 74,000 anonymized conversations from Claude.ai Free and Pro accounts associated with higher education email addresses during May and June, automatically filtering educator-specific tasks and matching them to O*NET categories; they also drew on survey and qualitative research with 22 Northeastern faculty. Curriculum development was the leading use, appearing in 57% of analyzed conversations, followed by academic research at 13% and student-performance assessment at 7%. Faculty also used Claude Artifacts to build interactive games, quizzes, simulations, data visualizations, scheduling tools, and budget planners, shifting from conversational assistance toward deployable educational resources. The analysis found more augmentation for lesson design, advising, and grant writing, while routine administrative work was more automation-heavy; grading was automated in 48.9% of relevant cases despite faculty rating it AI’s least effective application.
Learning to Code in the Age of AI: Advice From a Top Udemy Instructor
An interview with Python educator Ardit Sulce examines how beginners should learn programming as AI changes development and teaching. Sulce says AI now handles many small questions, while teachers provide curated learning paths, judgment, and context; he also argues that students should preserve productive struggle while outsourcing setup friction. He recommends evaluating understanding through code explanation, review, and debugging rather than treating working code as proof, and identifies reading unfamiliar code, debugging, and system understanding as important junior skills. His proposed three-stage path moves from writing syntax by hand in a professional IDE, to using AI as a tutor, and finally to using it as a co-worker while reviewing increasingly complex projects.
Sunsetting of the JetBrains Teacher Pack for Bootcamps
JetBrains is sunsetting the Teacher Pack for Bootcamps, citing the expansion of separate education programs for teachers, students, classrooms, and independent learners. Bootcamps can submit one final application by September 30, 2026, at 11:59 pm CET; applications will no longer be accepted from October 1. Approved applications submitted by the deadline receive one final set of student coupons valid for up to six months, while previously issued coupons and instructor IDE access remain active until their expiration dates, with no additional coupons or free instructor access after October 1. The program will be fully retired on April 1, 2027, when all bootcamp-provided coupons will have expired and the graduation discount will end; alternatives include Teacher Packs for accredited institutions, the Course Creators Program, the Student Pack, and free or non-commercial IDE options.
Kentucky defensive driving course
Kentucky regulations require rideshare drivers to complete a two-hour driver safety training course each year, with collision prevention and safe driving habits as its focus. Starting June 25, 2019, drivers cannot receive trip requests in Kentucky through the Uber app until they upload a passing-course certificate to their account. The online course costs $15: drivers begin through the Online Training Center’s “New Partners” option, use the email address and phone number associated with their Uber account, and verify that the confirmation-page username matches the official name on their license. After training, drivers download the certificate or open the certificate page’s printable completion confirmation, then upload it to their Uber account; unfinished training can be resumed through the driver portal’s “My Courses” section.
Introducing Claude for Teachers
Claude for Teachers gives verified US K-12 educators free access to premium Claude capabilities, tailored teaching skills, Learning Commons curricula, and academic standards across all 50 states. It is designed to help teachers apply differentiation, mastery-based learning, and small-group instruction despite limited time, resources, and large classes, with an emphasis on protecting time with students. Once verified, users can ask Claude to draft standards-aligned lessons, differentiate materials, analyze de-identified classroom data, and schedule recurring tasks; Claude Code and Cowork support carrying work forward. The offering includes no model training on verified teacher conversations, FERPA-aligned protections, and district and state control over educational-data use. Anthropic is releasing connectors, open-source teaching skills, and an evaluation write-up, while planning a Detroit Public Schools Community District pilot focused on educator wellbeing and practice.
Anthropic and Iceland announce one of the world’s first national AI education pilots
Anthropic and Iceland’s Ministry of Education and Children are launching a national AI education pilot that will give hundreds of teachers across every region access to Claude. The initiative combines the AI tool with educational resources, training materials, and a dedicated support network while examining how artificial intelligence can support instruction, lesson preparation, and student learning. Teachers will be able to analyze content ranging from complex texts to mathematical problems, create personalized lesson plans, adapt materials for different learners, and use Claude’s recognition of Icelandic and other languages to support students. Iceland’s education minister says the project will examine AI’s use across education with teachers’ needs guiding the work and with harm prevention in view, while Anthropic describes it as a practical model for responsible public-sector deployment.
Anthropic and Teach For All launch global AI training initiative for educators
Anthropic is partnering with Teach For All to bring AI tools and training to educators in 63 countries. Through the AI Literacy & Creator Collective (LCC), more than 100,000 teachers and alumni in Teach For All’s network, serving over 1.5 million students, can develop AI fluency and adapt Claude for classroom needs. Teachers act as co-architects, giving feedback while using Claude through a six-episode fluency series, the Claude Connect peer-learning hub, and Claude Lab, which includes Claude Pro, monthly office hours, and product-roadmap input. Examples include an interactive climate curriculum built in Liberia with Claude Artifacts and a gamified mathematics app built in Bangladesh with boss battles, a leaderboard, and XP rewards.
Anthropic partners with Rwandan Government and ALX to bring AI education to hundreds of thousands of learners across Africa
Anthropic is partnering with Rwanda’s government and African technology-training provider ALX to bring Chidi, a learning companion built on Claude, to hundreds of thousands of learners across Africa. Rwanda’s ICT & Innovation and Education ministries are deploying Chidi in the national education system, with training for up to 2,000 teachers and civil servants; ALX will provide it to students through its programs, where it acts as a “Socratic mentor” rather than giving direct answers. The initiative supports skills development in areas including data analytics and cloud computing, while teachers can use Claude to plan lessons and support students. Since its November 4 rollout, Chidi has logged more than 1,100 conversations and nearly 4,000 learning sessions, with nine in ten users reporting positive experiences.
Anthropic partners with CodePath to bring Claude to the US’s largest collegiate computer science program
Anthropic is partnering with CodePath to redesign collegiate computer science education as AI reshapes software development, placing Claude and Claude Code at the center of courses and career programs. More than 20,000 students at community colleges, state schools, and HBCUs will receive access to the tools, while CodePath addresses unequal access to industry-vetted courses and career networks. Claude is being integrated into AI courses including Foundations of AI Engineering, Applications of AI Engineering, and AI Open-Source Capstone; in fall 2025, more than 100 students piloted Claude Code on open-source projects such as GitLab, Puter, and Dokploy. The partners will also study AI’s effects on coding education and economic opportunity, while Howard University’s credited introductory AI course provides an early academic implementation of the applied curriculum.
Anthropic and the Government of Rwanda sign MOU for AI in health and education
Anthropic and the Government of Rwanda have signed a three-year Memorandum of Understanding to expand AI use across education, health, and public-sector systems. The agreement formalizes the partners’ earlier education collaboration and creates programs supporting Rwanda’s health goals, including efforts to eliminate cervical cancer and reduce malaria and maternal mortality. Government developer teams will receive access to Claude and Claude Code, alongside hands-on training, capacity building, and API credits, while the education work includes 2,000 Claude Pro licenses for educators, AI literacy training for public servants, and a Claude-powered learning companion deployed across eight African countries. The partnership is presented as a long-term commitment to responsible deployment, local autonomy, skills, infrastructure, and institutions, with Anthropic’s Beneficial Deployments team working with Rwanda’s Ministry of ICT and Innovation.
Anthropic partners with the Gates Foundation
Anthropic and the Gates Foundation are committing $200 million in grants, Claude usage credits, and technical support over four years for global health, life sciences, education, and economic mobility programs in the US and around the world. The Beneficial Deployments team will provide engineering support and develop public goods, including datasets, knowledge graphs, connectors, benchmarks, and evaluation frameworks, while offering discounted Claude access to nonprofits and educational institutions. Health initiatives target low- and middle-income countries through vaccine and therapy research, health-data decision support, frontline-worker tools, and improved disease-transmission forecasts; initial disease work includes polio, HPV, and eclampsia/preeclampsia. Education work includes K-12 tutoring, career guidance, literacy and numeracy apps, while economic-mobility projects cover agricultural datasets and benchmarks, portable skills records, and links between training and employment outcomes. Anthropic says it will publish its thinking, decisions, and lessons as the partnership and broader beneficial-deployments work scale.
Anthropic joins White House pledge for AI education
Anthropic announced three commitments at the White House’s AI Education Taskforce event, following its August signing of the Pledge to America’s Youth: Investing in AI Education. It will invest $1 million over three years in Carnegie Mellon University’s PicoCTF, support the Presidential AI Challenge, and develop a Creative Commons-licensed AI Fluency curriculum for K–12 and higher-education instructors that can work with any AI system. The announcement also reports adoption of Claude across education, including MagicSchool’s reach to 3 million educators, Claude for Education serving more than 100,000 students and faculty, and Claude Builder Clubs launching at over 60 U.S. universities. Anthropic says analysis of more than one million university-student conversations and 74,000 educator conversations informed features such as Learning Mode and the curriculum, with the stated aim of enhancing rather than compromising learning.
Why talent transformation is the missing focus of enterprise AI
Enterprise AI adoption is presented as a talent problem as much as a technology or strategy problem: insufficient worker skills are identified as the biggest barrier to integrating AI into work, while hiring alone cannot fill demand. The proposed response is continuous upskilling for both technical practitioners and line-of-business users, replacing one-time enablement with learning tied to current work and changing platform capabilities. Databricks Academy Pro is an annual, per-seat subscription combining self-paced courses, weekly live reviews, unlimited public instructor-led classes, hands-on labs in hosted Databricks environments, and one certification exam voucher per user each year. Starter, Growth, and Enterprise tiers add private online community access, a custom Academy portal, and a designated Talent Transformation program manager as seats increase. The offering is available today, alongside private instructor-led training and standalone certification vouchers.
Get hands-on with agents, vibe coding and more at Data+ AI Summit
Data + AI Summit returns to San Francisco from June 14 through June 18, 2026, with Databricks Training and Certification offering more than 20 hands-on courses across AI agents, vibe coding, data engineering, and Lakebase. Training-exclusive days on Sunday and Monday are designed to provide dedicated learning time, while sessions continue during the conference week. New courses cover agentic development with Genie Code, Claude Code, Cursor, MCP servers, and structured prompting; production agent deployment with MLflow’s ResponsesAgent framework and tracing; Lakeflow Spark Declarative Pipelines; and AI/BI dashboards and Genie Spaces. Onsite certification exams cost $100 plus taxes, a 50% discount, and seven listed exams are available. The Learning Hub adds labs, skills assessments, customized learning plans, and community access.
TechDocs at Grab: Cultivating a culture of quality documentation
Grab’s TechDocs working group describes a two- to three-year effort to make high-quality documentation part of everyday engineering culture. Built on the Helix engineering platform and a Docs-as-Code workflow, TechDocs gives teams a central place to create, manage, and access technical content, while user research informs tool and process changes. The programme combines inventory-taking, policy, team enablement, and recurring measurement, using broad surveys and 1:1 observation to identify fragmented tools, weak ownership, search problems, and maintenance gaps. Research found that only 2% of engineers reported resolving 80–100% of on-call questions through documentation; later initiatives included an editor, writing training, practical workshops, and recognition tied partly to documentation quality and on-call-bot response accuracy. Planned work includes better navigation, training, feedback loops, and editing workflows.
Enter eBay’s 2024 University Machine Learning Competition
eBay’s 2024 University Machine Learning Competition invites U.S. college and university students to form teams and tackle a yearly ecommerce challenge, with top participants offered a shot at a 2025 summer internship at eBay. This year’s task focuses on eBay Motors: building a model that identifies which vehicles are compatible with particular parts and accessories. Participants must extract “fitment” information from listing titles, item specifics, and descriptions in the eBay Parts and Accessories categories, where noisy or extraneous data makes the task difficult. The competition is in its sixth year; last year, 1,439 students from 206 universities competed across 887 teams, and several winners later moved into full-time eBay roles.
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