Мени
Shatranj.ai presents a broad, future-facing model of chess in education: from compulsory primary-school chess and early childhood learning to AI algorithms, chess-engine thinking, STEAM education, cultural heritage, multilingual learning, and student creativity.
Our goal is not only to help children become better chess players. It is to help them become clearer thinkers, culturally aware learners, ethical decision-makers, and future AI architects who understand how intelligent systems are built.
The Shatranj.ai curriculum uses chess and historical board games to teach AI algorithms through visible, testable, and explainable systems.
Chess is not only a game, a competitive mind sport, or an after-school activity. It is also a bridge between cultures, a formal system for teaching computation, a pathway into artificial intelligence, and a shared human heritage that belongs to many civilizations.
The intertwined history of chess and artificial intelligence is central to our teaching philosophy. From early automata and café chess culture to Shannon, Turing, Deep Blue, Stockfish, AlphaZero, and modern learning systems, chess gives students one of the clearest historical pathways for understanding how humans imagined, built, tested, and improved intelligent machines.
We help schools, ministries, nonprofits, youth organizations, museums, libraries, chess educators, and STEAM programs use chess and historical board games as tools for inclusive learning, computational thinking, cultural understanding, multilingual exploration, character education, creativity, and future-ready skills.
The flagship public talk for this educational philosophy is the TEDxBoston talk: Шах: Поврзување на културите, инспирирање на вештачката интелигенција и редефинирање на образованието.
This talk follows the journey from childhood chess memories and scholastic chess education to the design of the ŞAHÎ chess set, the lost elephant on the chessboard, spiritually inclusive chess design, ancient chess puzzles, and the deep relationship between chess and artificial intelligence.
The talk presents chess as a cultural bridge and an educational pathway into artificial intelligence. It connects the history of shatranj, the evolution of chess pieces, the rise of chess engines, and the mission of Shatranj.ai to make AI education more accessible, inclusive, and historically meaningful.
Watch the Shatranj.ai extended edit • Watch the TEDxBoston version • See all Shatranj.ai talks
Introduction: Chess, culture, AI, and education
My chess journey from Yugoslavia to Istanbul, MIT, and coaching
Shatranj.ai, shatranj.art, and the unifying power of chess
Why chess education needs more cultural and intellectual history
Chess in schools, equity, and educational impact
Is chess a game, a sport, or something more?
Benjamin Franklin and the morals of chess
The Mechanical Turk, Philidor, and café chess culture
Chess, colonial history, and changing rules
Religion, chess symbols, and the need for inclusion
Rethinking chess for multicultural classrooms
How the elephant disappeared from chess
Designing Abul-Abbas, the elephant chess piece
Historic inclusive chess sets and the Gülşah shah design
Designing the ŞAHÎ chess set pieces
Why the chess set is called ŞAHÎ
Chess as an intellectual bridge to artificial intelligence
Ancient chess puzzles: Wheat and the chessboard, Horse Tour, Eight queens, and Suli’s Diamond
Chess and AI from Shannon and Turing to AlphaZero
Boston’s chess and computer chess connections
Shatranj.ai curriculum and AI algorithms through chess
Many chess programs emphasize tournament achievement, ratings, competition, and chess as a mind sport. These are valuable parts of chess education, but they are not the whole story.
Shatranj.ai expands chess in education into a wider learning philosophy. We treat chess and historical board games as tools for problem solving, computational thinking, cultural literacy, ethical reflection, multilingual learning, creativity, design, character education, and artificial intelligence education.
In our model, students do not only learn how to win games. They learn how to ask questions, test ideas, compare strategies, explain decisions, build simple engines, interpret data, and understand how intelligent systems make choices.
Competitive chess can build discipline, resilience, concentration, and strategic skill. But chess in education should not be limited to trophies, ratings, elite performance, or a narrow mind-sport model.
Our approach welcomes beginners, non-competitive learners, young children, teachers, artists, coders, museum educators, youth workers, parents, multilingual classrooms, and students who may connect with chess through culture, history, puzzles, design, storytelling, technology, or social learning.
Our central position is simple: chess in education should maximize educational outcomes, not only chess performance. A modern chess program can support early childhood development, mathematical reasoning, social-emotional learning, multilingual learning, cultural inclusion, historical understanding, design thinking, computational thinking, AI algorithms, and student creativity.
Chess has long been connected to character education. Benjamin Franklin’s famous essay, The Morals of Chess, framed chess as a way to practice foresight, circumspection, caution, perseverance, fairness, and respectful conduct.
Shatranj.ai updates this tradition for modern classrooms. Students can use chess to practice patience, delayed gratification, respectful competition, evidence-based decision-making, mistake analysis, resilience, and ethical reflection. These habits matter in school, technology, civic life, and future careers.
Shatranj.ai is not only a STEM project. It is a multidisciplinary learning model that connects chess with art, history, philosophy, literature, economics, social sciences, cultural heritage, mathematics, computer science, and artificial intelligence.
This matters because chess is unusually rich as an educational object. It is a mathematical system, a historical artifact, a design language, a social practice, a strategic game, a literary metaphor, an economic model of decision-making, and one of the most important testbeds in the history of artificial intelligence.
Historical manuscripts help students see chess as a living bridge between culture, language, stories, and learning.
Chess can be taught as shared human heritage, not only as a competitive activity or narrow cultural symbol.
The chessboard becomes a visible system for teaching algorithms, search, evaluation, and intelligent software design.
DeepSeaChess is our early-childhood and primary-school chess foundation. It was created from direct classroom experience with young learners and piloted at Istanbul Technical University Foundation Schools, where chess was implemented as a compulsory learning activity for first- and second-grade students.
Many schools offer chess as an optional club. Our experience shows that chess can also be designed as a structured school-day learning program with clear educational outcomes, age-appropriate materials, teacher support, and a modern curriculum model.
A modern compulsory chess program should not only teach children how pieces move. It should support attention, working memory, spatial reasoning, pattern recognition, respectful play, turn-taking, classroom routines, confidence, curiosity, early mathematical thinking, and social-emotional learning.
DeepSeaChess also supports culturally inclusive and multilingual chess learning. Chess piece names, stories, board coordinates, classroom language, and visual materials can help children connect reasoning with vocabulary, symbols, heritage, and communication.
Learn about the DeepSeaChess curriculum
Chess can reveal and strengthen different dimensions of student learning. A strong school chess program should not measure success only by tournament scores. It should also observe how students reason, explain, collaborate, persist, remember patterns, manage emotions, and transfer ideas to new situations.
Shatranj.ai and DeepSeaChess can support learning outcomes across multiple domains:
Shatranj.ai teaches AI through algorithms that students can see, test, debug, and explain. Chess and historical board games make abstract AI concepts concrete because every position has a state, every move changes the state, and every algorithm leaves a trace that can be inspected.
The curriculum starts from board representation and legal move generation, then gradually moves toward search, evaluation, dynamic programming, reinforcement learning, and AlphaZero-style self-play. This is how students move from players to AI architects.
Shatranj.ai teaches AI algorithms as a developmental pathway: from puzzles and search to reinforcement learning, Monte Carlo Tree Search, and AlphaZero-style systems.
This algorithmic sequence is not presented as isolated computer science theory. It is taught through the cultural and intellectual history of games: ancient puzzles, medieval shatranj, manuscript positions, modern chess engines, and contemporary AI systems.
A central idea of Shatranj.ai is that students should become builders, not only users. Our whitepaper, From Players to AI Architects: Using the Intertwined History of Chess and AI to Teach the Future of Computing, explains how chess and historical board games can help students understand artificial intelligence from the inside.
The goal is not only AI literacy in the sense of awareness or responsible use. The goal is to help students aspire to become AI architects: young people who understand how intelligent systems are represented, designed, tested, improved, and explained.
Through chess, shatranj, and historical board games, learners can study search algorithms, evaluation, recursion, pruning, dynamic programming, reinforcement learning, self-play, and the evolution of chess engines from early symbolic AI to modern systems such as Stockfish and AlphaZero.
Chess is one of the clearest bridges between human strategy and machine intelligence. The board gives students a visible system where they can study coordinates, states, legal moves, search trees, evaluation, planning, feedback, and learning.
In Shatranj.ai, students do not only hear that AI exists. They study the ideas behind chess software and intelligent agents. They learn how a program represents a board, generates legal moves, evaluates positions, searches future possibilities, compares candidate moves, and improves through data and feedback.
Explore the Shatranj.ai curriculum • Visit the Shatranj.ai learning platform
Shatranj.ai builds in the same open educational spirit as earlier European chess-in-education projects, while extending the model toward multidisciplinary learning, cultural heritage, AI algorithms, and chess-engine thinking.
CASTLE, “Chess Curriculum to Advance Students’ Thinking and Learning Skills in Primary Education,” demonstrated how chess can become a teacher-led pedagogical tool in primary schools.
CHAMPS, “Chess and Mathematics in Primary School,” developed chess-and-mathematics exercises that use the board, pieces, grids, logic, geometry, combinatorics, and problem solving.
8 by 8 explored strategy games on an 8×8 board, including simple ludic activities and classroom games that help children discover patterns and strategies.
ADHD & Chess / Chess4ADHD represents another important direction in inclusive chess education: using chess as an educational and therapeutic resource for learners with ADHD, Autism, Asperger, and other special educational needs.
The project is associated with the Villalba and Madrid chess education ecosystem and emphasizes adapted exercises, small groups, families, attention, memory, planning, decision-making, motivation, and avoiding unnecessary competitive stress.
These projects show the value of chess, chessboards, strategy games, mathematics, teacher training, school implementation, inclusion, and special educational needs. Shatranj.ai builds on this educational tradition while adding a stronger focus on AI algorithms, historical board games, inclusive design, cultural heritage, interdisciplinary curriculum, and student creation.
Shatranj.art extends chess in education beyond the classroom worksheet. It is a cultural and educational exhibit about the evolution of chess sets, pieces, rules, terminology, and historical board games.
Shatranj.art presents inclusive chess-set designs from history alongside the Shatranj.ai project’s own educational chess-set design work, helping schools teach chess as shared cultural heritage.
The exhibit is designed for schools, museums, libraries, cultural institutions, youth programs, and digital classroom experiences. It helps students see chess not only as a sport, but also as a journey across languages, civilizations, manuscripts, art, science, and design.
The exhibit also supports inclusive chess education by showing that chess has many visual traditions, many historical forms, and many cultural homes. This helps students understand chess as shared human heritage rather than the property of one culture or one competitive pathway.
Our educational philosophy also appears in physical design. The ŞAHÎ chess set is a historically inspired and culturally inclusive chess set that celebrates the global journey of chess across civilizations.
The set connects the modern chessboard with shatranj, historical piece names, manuscript traditions, visual symbolism, and inclusive educational storytelling. It can support classroom demonstrations, exhibits, workshops, cultural programs, and school chess initiatives that want to present chess as shared heritage rather than a narrow cultural symbol.
Learn about the ŞAHÎ chess set
Suli’s Diamond is one of the strongest examples of our educational method. It connects a historical shatranj puzzle with endgame analysis, dynamic programming, tablebases, AI verification, and the preservation of intellectual heritage.
In a classroom or workshop, Suli’s Diamond can become a lesson about history, mathematical reasoning, computational search, state spaces, proof by computation, and the relationship between human insight and machine analysis.
Explore Suli’s Diamond • Watch the Suli’s Diamond documentary lecture
The Shatranj.ai chess-in-education model connects complementary initiatives: Shatranj.ai for AI algorithms and curriculum development, DeepSeaChess for early-childhood and primary-school chess implementation, Shatranj.art for cultural heritage education, ŞAHÎ for inclusive chess-set design, and Shatranj International for nonprofit collaboration around culturally inclusive historical mind games.
This gives schools and ministries a broader implementation pathway than a standard chess club. A school can begin with early-grade chess through DeepSeaChess, expand into inclusive chess heritage and school exhibitions through Shatranj.art, and later introduce AI algorithms, chess-engine thinking, and historical board-game computing through Shatranj.ai.
Shatranj International supports the wider nonprofit mission: promoting shatranj, historical chess variants, culturally inclusive chess sets, historical mind games, and educational initiatives that preserve these games as shared human intellectual and cultural heritage.
Boston Children’s Chess Foundation is part of this broader Boston-based effort to make chess education more accessible to children, families, schools, and communities. Together, these initiatives can support school chess programs, youth workshops, inclusive tournaments, teacher training, donor-funded outreach, and educational chess events in Boston and beyond.
Learn more: DeepSeaChess Curriculum • Шатранџ Интернешнл • Шатранџ.аи
Schools and ministries need more than enthusiasm for chess. They need clear outcomes, practical implementation models, teacher support, and evidence-friendly curriculum design.
Our chess-in-education model can be adapted around outcomes such as:
Shatranj.ai is interested in helping schools and education systems move from isolated chess activities to structured chess-in-education programs.
We can support institutions that want to design or modernize:
Our aim is to help schools implement chess in the most modern way possible: inclusive, age-appropriate, culturally meaningful, multilingual, technologically relevant, and connected to measurable learning outcomes.
Shatranj.ai is designed for institutions that want to implement chess in education at a deeper level than a standard chess club. Our model can support school chess programs, AI-algorithm pilots, STEAM enrichment, cultural heritage weeks, interdisciplinary curriculum design, teacher workshops, and student innovation programs.
We welcome collaboration with schools, ministries of education, school chess federations, international education networks, universities, municipalities, and youth-serving organizations that want to connect chess with modern learning outcomes.
Learn about the FIDE and ISCF Year of Chess in Education 2026
Shatranj.ai, Shatranj International, DeepSeaChess, Shatranj.art, and Boston Children’s Chess Foundation form a practical ecosystem for modern chess-in-education work: curriculum, early childhood implementation, cultural heritage, AI education, nonprofit outreach, and community access.
Donors and civic partners can support open-access curriculum, compulsory or school-wide chess programs, youth workshops, teacher training, inclusive chess festivals, exhibit development, culturally inclusive chess-set access, AI-algorithm workshops, and outreach to underserved communities.
The goal is not only to create stronger chess players. The goal is to create more confident learners, better problem solvers, culturally aware students, multilingual thinkers, and young people who can understand and shape intelligent technology.
We welcome conversations with donors, foundations, civic leaders, school districts, universities, municipalities, and community partners who want to support chess education in Boston and internationally.
The Shatranj.ai approach is shaped by experience in chess education, technology, artificial intelligence, curriculum design, product strategy, and international educational projects.
The work is led by Tamer Karatekin, an MIT-trained technologist, former Turkish National Chess Champion, chess educator, and curriculum designer. His background includes the MITx MicroMasters program in Data, Economics, and Design of Policy, as well as collaboration with leading faculty and scholars across computer science, economics, education, and the history of science.
This combination allows Shatranj.ai to approach chess in education not only as a chess-training problem, but also as a curriculum-design, technology, equity, culture, multilingual learning, and public-policy challenge.
Chess in education is becoming a global movement. As schools and education systems look for practical ways to teach problem solving, digital literacy, AI literacy, computational thinking, multilingual learning, social-emotional development, and character education, chess offers a rare combination of simplicity, depth, history, and universal appeal.
But the future of chess in education should be inclusive. It should respect competitive excellence while also welcoming students who connect with chess through culture, art, coding, history, language, design, storytelling, social learning, or curiosity.
Shatranj.ai contributes to this future by connecting compulsory school chess, artificial intelligence, chess-engine thinking, cultural heritage, historical board games, open-access curriculum, and school-friendly implementation.
We welcome conversations with schools, ministries, foundations, nonprofits, municipalities, chess federations, cultural institutions, education leaders, and donors interested in implementing inclusive chess-in-education programs.
Chess in education means using chess as a teaching tool for problem solving, planning, concentration, mathematical thinking, cultural heritage, social-emotional learning, multilingual learning, computational thinking, and digital skills.
A normal school chess program often focuses on learning the rules, improving play, and preparing for tournaments. Shatranj.ai goes further by connecting chess with AI algorithms, coding, cultural heritage, historical board games, inclusive design, multilingual learning, character education, and STEAM education.
No. Shatranj.ai is designed for a wide range of learners. Students do not need to be expert chess players to benefit from lessons about logic, strategy, coding, culture, design, language, social-emotional learning, and artificial intelligence.
Yes. Our DeepSeaChess experience includes a school pilot where chess was implemented as a compulsory activity for first- and second-grade students. Shatranj.ai builds on this foundation by connecting early chess learning with modern curriculum design, STEAM education, multilingual learning, cultural heritage, and AI education.
Chess can help students practice foresight, caution, perseverance, fairness, respect, patience, and reflection. This connects modern chess education with a long tradition that includes Benjamin Franklin’s essay The Morals of Chess, while adapting those ideas for inclusive contemporary classrooms.
Shatranj.ai introduces board representation, legal move generation, backtracking, DFS, BFS, Uniform Cost Search, A*, minimax, expectiminimax, alpha-beta pruning, dynamic programming, reinforcement learning, Q-learning, deep Q-networks, Monte Carlo rollouts, Monte Carlo Tree Search, and AlphaZero-style self-play.
Chess helps students understand AI because many important AI ideas can be demonstrated through chess: board representation, legal move generation, search trees, evaluation functions, algorithms, reinforcement learning, self-play, and decision-making under uncertainty.
It means students should not only use AI tools or play games. They should learn how intelligent systems are designed. Through chess and historical board games, students can study how software represents a game, searches possible futures, evaluates choices, learns from data, and improves over time.
Historical board games show students that intelligence, strategy, design, and computation have deep cultural roots. They also make chess education more inclusive by connecting the game to many languages, civilizations, manuscripts, and traditions.
Shatranj.ai builds in the same open educational spirit as projects such as CASTLE, CHAMPS, 8 by 8, and inclusive chess initiatives such as ADHD & Chess. Those projects helped demonstrate the educational value of chess, mathematics, strategy games, teacher training, special educational needs, and classroom implementation. Shatranj.ai extends this tradition toward cultural heritage, interdisciplinary curriculum, AI algorithms, chess-engine thinking, and student creativity.
Yes. Schools can use Shatranj.ai materials in classrooms, clubs, workshops, after-school programs, STEAM activities, teacher-training sessions, cultural heritage events, multilingual learning programs, and interdisciplinary projects.
Yes. Donors and foundations can support open-access curriculum, compulsory school chess programs, youth workshops, teacher training, cultural exhibits, inclusive chess materials, AI-algorithm programs, and nonprofit chess education initiatives connected to Shatranj.ai, Shatranj International, DeepSeaChess, Shatranj.art, and Boston Children’s Chess Foundation.
