AI-Education Hub

AI Education Hub

There is broad consensus about interventions that help education outcomes. The challenge has always been adopting
them at scale and ensuring the underserved communities benefit from them. The field of AI-Education is growing at
breathtaking pace, and there is hope that it could be a critical tool to help students, teachers, and educators at large.
Given the Institut Sangalkam’s mission, it is indispensable to follow closely advances in this field and determine which
aspects of AI-Education hold the best promise to improve learning at scale at an affordable cost in resource constrained
school settings.

Insights from Thought Leaders

“Technology must not widen gaps — it must bridge them. In education, AI must be guided by humanity.”

“Africa has the opportunity not to copy the past,but to leap forward with AI-driven learning designed for our realities”

“AI in Africa must be multilingual, inclusive, and built for the communities it aims to serve”

“AI won’t replace teachers. But teachers who use AI will transform education”

“Technology must not widen gaps — it must bridge them. In education, AI must be guided by humanity.”

AI Challenges and Opportunities

Challenges

Insufficent connectiivity and lack of devices

Varied levels of digital skills amoung teachers

Lack of time to dedicade to training outside of work

Opportunities

Designing training programs for real conditons and substainabiliity

Hands on support, identify innovative teachers to support those lagging behind , Build supportive CoPs

Incorporate digital and AI training module from preservice, TDO and ongoing training

AI-Education Hub

Our AI-Education Strategy

At Institut Sangalkam, we believe that artificial intelligence is not just a tool — it is a transformational force that can help us
personalize learning, support teachers, strengthen data-driven
leadership, and expand educational equity. Our AI-Education
strategy ensures that technology serves our mission: to empower students, educators, and communities with intelligent systems that are ethical, inclusive, and rooted in local realities. By leading with purpose and vision, we aim to shape a future of education that is both innovative and human-centered.

Potential benefits of AI in Education

Our AI Education Strategy

A. Vision Statement:

“We envisage a Senegal where every student, teacher and thought leader confidently navigates the opportunities and challenges of the AI era-fostering creativity, critical thinking, and ethical innovation for national and global good”

B. Mission Statement:

Educating K-12 students with an inclusive, future-ready curriculum that integrates AI literacy, ethical leadership, and Senegalese values.
Empowering teachers through dynamic, world-class training that equips them to use, teach, and critically engage with AI tools in diverse learning environments.
Inspiring research, dialogue, and policy development through a dedicated think tank that shapes ethical, culturally grounded, and sustainable AI adoption in education and beyond.

A. Vision Statement:

Implement AI-powered adaptive learning platforms tailored to individualneeds, learning styles, and pace
Use predictive analytics to offer early interventions or struggling students
Foster student agency by enabling personalized project-based learning experiences

B. Intelligent Operations

Automate routine administrative processes (attendance tracking, scheduling) to allow educators to focus more on teaching
Introduce AI-driven systems for resource allocation, facility management
Apply AI chatbots for real-time, student, and teacher support

C. Teacher Capacity Building

Equip educators with Ai toolkits and training on using AI ethically and effectively in the classroom
Develop simulation-based teacher training modules that allow practice in virtual environments

D. Intelligent Operations

Establish or partner with Ai-Education labs to conduct research on Ai impact on learning outcomes
Leverage AI tools to simulate educational policies
Partner with research institutions and policymakers to co-create AI guidelines for responsible use in schools

E. Ethical AI & Governance

Promote digital citizenship and critical thinking about AI among students
and staffs

A. Adaptive Learning Environments

Learning A-driven platforms that adjust the curriculum and pace on each student’s performance and learning style
Offer personalized assignments and learning pathway, ensuring all students are challenged appropriately

B. Predictive Analytics for Student Success

Use AI to monitor student engagement, attendance, and academic
performance in real-time.
Generate early warning alerts for students at risk of falling behind,
enabling proactive interventions by teachers and counselors.

C. Automated Administrative Support

Automate or support grading using AI-Assisted grading tools
Streamline scheduling, report generation, and student documentation, freeing up teacher time for instructional planning

D. Enhanced Learning Experiences

Integrate AI-powered tutors and chatbots that provide 24/7 homework help an concept reinforcement
Use natural language processing tools to assist students with writing, reading, comprehension, and language learning

E. Learning Analytics Dashboards

Develop visual dashboards for students, teachers, and parents to track progress, strengths, and areas for growth.
Use data insights to create personalized support plans, enrichment opportunities, and parent-teacher collaboration strategies.

F. AI-Supported Inclusion and Accessibility

Leverage AI tools to provide real-time translations, speech-to-text support, and differentiated resources for students with diverse needs.

A. AI-Integrated Professional Development

Develop AI-enhanced training programs that offer personalized learning paths based on each educator’s skills, goals, and subject areas.

B. Virtual Simulations and Immersive Learning

Offer AI-driven classroom simulations where teachers can practice managing different learning scenarios (e.g., disruptive behavior, differentiated instruction).

C. AI Coaching and Feedback Tools

Implement AI systems that analyze video recordings of lessons and provide constructive feedback on teaching strategies, student engagement, and classroom management.

D. Smart Resource Recommendations

Use AI to suggest customized teaching resources (lesson plans, multimedia content, assessment tools) aligned with curriculum standards and student needs.Develop a Senegal-centered Data Privacy Policy aligned with international standards like GDPR, but rooted in local values and legal frameworks.Implement robust cybersecurity measures to protect sensitive educational and research data.

E. Collaborative AI learning Communities

Create online platforms where educators can collaborate, share best practices, and solve problems together with AI suggesting expert connections and discussion topics.

F. Ethics and AI literacy for Educators

Train teachers not only to use AI tools, but to critically understand AI’s ethical dimensions — bias, transparency, and data privacy — preparing them to guide students in responsible AI use.

A. AI-Powered Educational Research

Establish -independently or in partnership-a data-driven research hub focused on local education challenges: literacy rates, school attendance, multilingual education, and equity in rural versus urban areas.
Use machine learning to analyze patterns in student outcomes, teacher performance, and resource allocation across Senegalese schools.

B. Policy Simulation and Impact Modeling

Developer disseminate AI models to simulate the long-term impact of educational policies before implementation (e.g., national curriculum reforms, AI integration in schools, teacher training policies).
Predict how changes in funding, curriculum, or technology access will affect different regions and demographics.

C. Educational Data Lab for Senegal

Create or encourage an open-access data lab where policymakers, researchers, and educators can collaborate to explore education data trends.
Prioritize data sovereignty: ensure Senegalese data stays protected and benefits national interests.

D. Partnership for Innovation

Partner with local universities, African research networks, global AI think tanks, and edtech companies to co-develop AI tools suited for the Senegalese context.

E. Knowledge Building and Dissemination

Publish white papers, policy briefs, and research articles on AI in education tailored for African contexts.
Develop or encourage certification programs in “AI for Education Policy” and “Data-Driven Decision-Making in Schools.”

A. Unified Digital Ecosystem

Build a centralized, secure Education Data Platform that integrates information from the K–12 school, teacher training center, and think tank.
Ensure interoperability: systems should easily exchange data across different schools, regions, and research partners.

B. Cloud-Based & Scalable Infrastructure

Leverage affordable cloud technologies (e.g., AWS, Azure, local African cloud providers) to store and manage student, teacher, and research data.
Design for scalability so the center can expand to partner schools across Senegal and West Africa over time.

C. Reliable Connectivity

Invest in strong internet infrastructure, ensuring reliable access even for partners in rural areas.
Partner with telecom providers to offer subsidized connectivity packages for students and teachers, especially in underserved regions.

D. Data Privacy and Protection

Develop a Senegal-centered Data Privacy Policy aligned with international standards like GDPR, but rooted in local values and legal frameworks.
Implement robust cybersecurity measures to protect sensitive educational and research data.

E. AI Governance Framework

Consider establishing an AI Ethics Board composed of educators, parents, students, tech experts, and community leaders.
Set clear policies for (1) AI transparency (how AI decisions are made), (2) Bias mitigation (especially linguistic and cultural biases), and (3) Consent for data use (opt-in/opt-out systems for families)

AI-Education Hub

AI Education Resources

The Resources section of our AI-Education Hub is designed to empower educators, students, and decision-makers with practical access to the most relevant AI tools and learning opportunities. By curating a list of AI applications tailored for education, organizing trusted online courses, and highlighting leading AI tools beyond the classroom, we bridge innovation and accessibility. This section ensures our community stays informed, equipped, and ready to engage with AI in ways that are meaningful, ethical, and transformative.

AI Education Resources

“Not all AI tools are created equal. To help educators, researchers, and policymakers evaluate which AI-powered
resources align with effective teaching and learning principles, we recommend using AI-for-Education Pedagogical
Benchmark-a global standard developed by education researchers and technologists”

AI Tools for Education
Online Learning & Training
Open Data Repositories & Research Tools
Other Generic AI Tools

Adaptive Learning Platforms

Tool	Description	Access
Khan Academy with Khanmigo	AI tutor for math, science, history; available in English and some content in French	ACCESS
Century Tech	AI recommends lessons based on student’s performance; powerful for personalized learning	ACCESS

Lesson Planning and Content Creation

Tool	Description	Access
Curipod	AI designs full interactive lessons in minutes (supports French)	ACCESS
MacifSchool.ai	Creates quizzes, lesson plans, feedback emails-all powered by AI, adapted for teachers	ACCESS

Assessment and Feedback

Tool	Description	Access
Gradescope	AI speeds up grading and gives consistent feedback for written and math assignment	ACCESS
EdPuzzle	Helps teachers make videos interactive with auto-graded quizzes	ACCESS

Accessibility Tools

Tool	Description	Access
Immersive Reader	Help students with reading challenges by adjusting text, translating, or reading aloud	ACCESS
Seeing AI	AI describes the world for visual impaired learners (available via app stores)	ACCESS

Benchmarking AI –Education Tools

Tool	Description	Access
The Pedagogy Benchmark: AI-For- Education)	A framework for evaluation how well AI education tools support effective teaching and learning, based on five core pedagogical principles	ACCESS

Other

Tool

Description

Access

-

Intro to AI and Machine Learning

Course	Description	Access
Elements of AI (University of Helsinki)	Free course designed to demystify AI for everyone. Available in French	ACCESS
Google AI for Everyone	Basic course to understand AI concepts in practical terms	ACCESS

Ai for educators

Tool	Description	Access
AI for Teachers (ISTE Certified Program)	Training for integrating AI ethically and practically into classrooms	ACCESS
Microsoft AI Classroom Series	AI tools and case studies for teachers; available free	ACCESS

Ethics and AI Literacy

Course	Description	Access
UNESCO AI Ethics Course	Training for integrating AI ethically and practically into classrooms	ACCESS
MIT responsible AI for Education	Principles of transparency, bias mitigation, and ethics in school AI adoption	ACCESS

Data Literacy for Educators

Tool	Description	Access
Data Science for Teachers (Coursera)	Introduction to basic data analysis skills for education professionals	ACCESS
The Open Data Institute’s Open Learning Resources	Free modules on working in open data responsibly	ACCESS

AI and Digital Innovation Datasets

Course	Description	Access
Open AI Dataset Archive	Public datasets supporting AI research, language modeling, and innovation	ACCESS
Hugging Face Educational Datasets	Open NLP and AI datasets focusing n multilingual and educational content	ACCESS
Data Science Africa Open Datasets	African datasets for machine learning and data science innovation	ACCESS

Data Analytics

Tool	Description	Access
Microsoft Copilot	Enables seamless data analysis and report generation directly within Microsoft Excel and PowerPoint using natural language prompts.	ACCESS
Julius AI	Transforms spreadsheets and datasets into interactive, chat-based analysis tools, allowing users to explore data through conversation without coding.	ACCESS
Claude (by Anthropic)	Acts as a powerful AI assistant that can analyze, summarize, and interpret complex datasets, documents, or policy materials in natural language.	ACCESS

Image and Video Generation

Tool	Description	Access
MIDJOURNEY	Generates highly artistic, stylized images from text prompts, ideal for visual storytelling, concept art, and design inspiration.	ACCESS
ARCADS	Enables rapid creation of professional-looking video ads and motion graphics using AI, with customizable templates and brand assets.	ACCESS
KREA.AI	Offers real-time AI image generation and editing tailored for designers, allowing precise control over style, texture, and composition.	ACCESS

Document Summarization and Note Taking

Tool	Description	Access
NOTEBOOKLM (by Google)	Acts as an AI research assistant that reads your documents, highlights key ideas, and generates summaries or study guides tailored to your questions.	ACCESS
GRANOLA	Transforms long articles, lectures, and videos into concise, structured notes and study-ready outlines using AI-driven summarization.	ACCESS
BOX AI	Provides secure, AI-powered summarization and insights for enterprise documents stored in Box, enabling fast information retrieval and decision-making.	ACCESS

Voice Tools

Tool	Description	Access
ELEVENLABS	Generates ultra-realistic AI voices in multiple languages and emotions, ideal for audiobooks, education, and content localization.	ACCESS
INTERCOM	Uses AI voice and chat to deliver personalized, automated customer support, enabling faster and more human-like interactions at scale.	ACCESS
Play.ht	Creates high-quality AI voiceovers from text using a wide range of realistic voices and languages, ideal for e-learning, podcasts, and video narration. Supports 130+ languages ad 900+voices	ACCESS

Email Outreach and Automation

Tool	Description	Access
INSTANTLY.AI	Uses AI to automatically draft, personalize, and send email sequences that adapt to recipient behavior, streamlining outreach and engagement.	ACCESS
TYPEFULLY	Combines AI writing assistance with scheduling and analytics for crafting effective Twitter/X threads and emails, focused on audience growth and clarity.	ACCESS
ZAPIER	Connects and automates workflows between apps (including email platforms) using simple AI-powered triggers—no coding required.	ACCESS

Writing

Tool	Description	Access
CLAUDE	An AI assistant designed for thoughtful, structured writing, capable of drafting, editing, and summarizing long-form content with a focus on safety and context.	ACCESS
SCRYBE	Provides AI-powered writing support tailored for academic and research contexts, helping users outline, cite, and polish scholarly work.	ACCESS
LEX	A distraction-free AI writing tool that helps you generate ideas, draft content, and overcome writer’s block directly within a sleek document editor.	ACCESS

Research and Development

Tool	Description	Access
PERPLEXITY	An AI-powered search and research assistant that delivers up-to-date, sourced answers and summaries from across the web and academic databases.	ACCESS
EXA	Uses AI to help researchers and marketers discover high-quality content, citations, and web sources with precision search beyond traditional engines.	ACCESS
SPARKTORO	Provides audience intelligence by analyzing online behavior and content trends,helping researchers and communicators understand what their target groups read, watch, and follow.	ACCESS

Talent Strategy and Recruiting

	Description	Access
BEAMERY	An AI-driven talent lifecycle platform that helps organizations identify, engage, and develop candidates with predictive insights and workforce planning tools	ACCESS
EIGHTFOLD AI	Uses deep learning to match people to the right roles by analyzing skills, career paths, and talent potential across internal and external candidates.	ACCESS
HIREVUE	Provides AI-powered video interviewing and assessment tools that streamline hiring by evaluating communication, problem-solving, and job-specific traits.	ACCESS

Managing Inventory

Tool	Description	Access
CLAUDE (Anthropic)	Acts as an AI assistant that can analyze inventory reports, forecast trends, and support decision-making through natural language insights and summaries.	ACCESS
GOOGLE GEMINI	A multimodal AI model that can interpret spreadsheets, dashboards, and stock visuals to help optimize inventory levels and supply chain planning.	ACCESS
LINNWORKS	Specialized in e-commerce, this AI-powered platform automates inventory tracking, order management, and stock forecasting across multiple sales channels.	ACCESS
ORDERBOT	Automates inventory, order fulfillment, and product information across multiple e-commerce and retail channels, using AI to ensure real-time accuracy and reduce stockouts.	ACCESS
NetSuite (by Oracle)	Offers a comprehensive AI-enabled ERP platform that manages inventory, procurement, and demand forecasting at scale, ideal for complex, multi-location operations.	ACCESS

Title	Description
General Pedagogy [3 Credits]	▪ The course will provide students with a comprehensive understanding of teaching and learning theories, instructional strategies, and classroom management. The goal is to give future teachers the foundational knowledge and practical skills needed to create effective learning environments and adapt their teaching methods to diverse learners. ▪ The course will be particularly useful for new teachers with an advanced degree in a given subject, but without teaching experience. ▪ The main course objectives are: ▪ Understand the key theories and principles of teaching and learning. ▪ Develop and apply a range of instructional strategies. ▪ Create lesson plans that cater to diverse learning needs. ▪ Manage classroom dynamics effectively. ▪ Evaluate and reflect on their teaching practices.
Topics	▪ Module 1: Foundations of Pedagogy and Learning Theories ▪ Module 2: Lesson Planning and Curriculum Design ▪ Module 3: Teaching Methods and Instructional Strategies ▪ Module 4: Classroom Management and Student Engagement ▪ Module 5: Assessment and Feedback ▪ Module 6: Reflective Practice and Professional Development
Further Reading	▪ Bruner, J. (1996). The Culture of Education. ▪ Marzano, R. J. (2007). The Art and Science of Teaching. ▪ Wiggins, G., & McTighe, J. (2005). Understanding by Design. ▪ Tomlinson, C. A. (2001). How to Differentiate Instruction in Mixed-Ability Classrooms. ▪ Wong, H., & Wong, R. (2009). The First Days of School: How to Be an Effective Teacher. ▪ Brookfield, S. (2017). Becoming a Critically Reflective Teacher. ▪ Thierno Souleymane Diop, Tu Seras Enseignant, Mon Fils, Presses Universitaires de Dakar, (2015)

Title	Description
AI Education Applications [3 Credits]	▪ The course will focus on combining a technical understanding with the practical applications in teaching and learning contexts. ▪ The main goal is to empower teacher trainees to understand AI, critically evaluate AI tools, and integrate AI effectively to enhance teaching and learning experiences. ▪ Course Objectives: explain key AI concepts and how AI functions; critically assess AI tools for education; implement AI-driven teaching and learning strategies; reflect on the ethical and social implications of AI in education; develop AI-enhanced lesson plans and learning activities.
Topics	▪ Module 1: Introduction to AI and Machine Learning: what is AI, how does it work, applications ▪ Module 2: AI in Education, Opportunities and Challenges (Personalized Learning, Intelligent Tutoring, Bias/Fairness in AI) ▪ Module 3: Personalized Learning and Adaptive Learning Systems (Teacher Role in Personalization) ▪ Module 4: AI for Assessment and Feedback (AI for Formative and Summative Assessment, Limitations of AI assessment) ▪ Module 5: AI for Student Engagement and Classroom Management (Education Tools, AI for Multimodal Learning) ▪ Module 6: Ethical and Social Implications of AI in Education (AI and Equity, Data Privacy, Human vs Machine Intelligence)
Further Reading	▪ Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). ▪ Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. ▪ Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. ▪ Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. ▪ Luckin, R. (2010). Redesigning Learning Contexts: Technology-Rich, Learner-Centred Ecologies. ▪ Kay, J., & Kummerfeld, B. (2019). "Creating Personalized Learning with AI." IEEE Transactions on Learning Technologies. ▪ Heffernan, N. (2017). "AI and the Future of Testing." Journal of Learning Analytics. ▪ McGraw, B. (2018). AI in Assessment: New Horizons in Educational Measurement. ▪ Chen, B., et al. (2020). "AI for Enhancing Student Engagement." Educational Technology Research and Development. ▪ Rose, C. P. (2018). "Conversational Agents in Education." Learning Sciences Journal. ▪ Selwyn, N. (2021). Education and Artificial Intelligence: Critical Perspectives. ▪ Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor.

Title	Description
Sociology and Education [3 Credits]	▪ This course will cover sociological theories with practical teaching strategies to help future educators understand the role of education in society and the ways in which education can both reflect and challenge social structures. ▪ By the end of the course, teacher trainees will be able to: ▪ Understand key sociological theories and concepts relevant to education. ▪ Analyze the relationship between education and social structures (e.g., class, race, gender). ▪ Examine the impact of education on social mobility and inequality. ▪ Critically assess the role of schools in socialization. ▪ Apply sociological concepts to classroom dynamics and education policy.
Topics	▪ Module 1: Introduction to Sociology and Education ▪ Module 2: Education and Socialization ▪ Module 3: Theories of Education ▪ Module 4: Social Stratification and Education ▪ Module 5: Education Policy and Reform ▪ Module 6: Teachers as Agents of Social Change
Further Reading	▪ Sociology of Education: A Critical Reader – by Alan R. Sadovnik ▪ Education and Sociology – by Emile Durkheim ▪ Pedagogy of the Oppressed – by Paulo Freire ▪ Cultural Capital: The Problem of Educational Inequality – by Pierre Bourdieu ▪ Inequality and Education – by Richard Arum ▪ Les Jeunes de la Rue a Dakar, Safietou Diack, Karthala (2022) ▪ Jeunesse, Exclusion et Violence a Dakar, Oumar Cisse and Djibril Diop, Karthala (2021) ▪ Moi Aussi, Ma Place est a l’Ecole, Cheikh Tidiane Bousso, l’Harmattan (2024) ▪ Les Enfants exclus ou en marge du systeme scolaire Classique au Senegal, H Dia; AS Diop, Melanie Jacquemim (2019)

Title	Description
Financial and Administrative management of Schools [3 Credits]	▪ The course would cover budgeting, resource allocation, school leadership, policy implementation, and accountability—ensuring that teacher trainees develop a comprehensive understanding of the financial and operational aspects of running a school effectively. ▪ By the end of the course, teacher trainees will be able to: ▪ Understand the financial structure of schools and sources of funding. ▪ Develop and manage a school budget effectively. ▪ Understand and apply financial policies and regulations in education. ▪ Manage school resources, staffing, and infrastructure efficiently. ▪ Analyze the role of school leadership in effective administrative management.
Topics	▪ Module 1: Introduction to Financial and Administrative Management in Schools: private vs public school management ▪ Module 2: School Funding and Budgeting: financial forecasting and contingency planning ▪ Module 3: Financial Accountability and Transparency: Financial Control & Reporting; Compliance ▪ Module 4: Human Resource and Staff Management: Recruitment-Retention; Performance-Evaluation; Salary-Benefits ▪ Module 5: Facilities and Resource Management: School Infrastructure, Procurement-Inventory, Technology ▪ Module 6: Strategic Planning and Policy Implementation: risk management and crisis planning
Further Reading	▪ Bush, T. (2011). Theories of Educational Leadership and Management. ▪ Brighouse, T., & Woods, D. (2013). The A-Z of School Improvement: Principles and Practice ▪ Odden, A., & Picus, L. (2014). School Finance: A Policy Perspective ▪ Levačić, R. (2011). Managing Financial Resources in Schools. ▪ Rebore, R. W. (2014). Human Resources Administration in Education: A Management Approach. ▪ Mulford, B. (2016). School Leadership and Resource Allocation

Title	Description
Human Resource Management in Schools [3 Credits]	▪ Designing a course on Human Resource Management (HRM) in Schools for teacher trainees will help future educational leaders develop the skills to effectively manage staff, build a positive work culture, and address HR-related challenges in schools. ▪ By the end of the course, trainees are expected to: ▪ Understand the principles of HRM in educational settings. ▪ Develop strategies for staff recruitment, retention, and professional development. ▪ Apply conflict resolution and performance management techniques. ▪ Build a positive and inclusive school work culture. ▪ Navigate labor laws and ethical considerations in education.
Topics	▪ Module 1: Introduction to HRM in Schools ▪ Module 2: Recruitment and Hiring Practices ▪ Module 3: Staff Retention and Motivation ▪ Module 4: Professional Development and Training ▪ Module 5: Performance Management and Evaluation ▪ Module 6: Conflict Resolution and Staff Relations ▪ Module 7: Labor Laws and Ethical Issues ▪ Module 8: Technology and Data Management
Further Reading	▪ Human Resource Management in Education – by Justine Mercer, Bernard Barker, Richard Bird ▪ Educational Administration: Theory, Research, and Practice – by Wayne Hoy and Cecil Miskel ▪ Improving Teacher Quality through Professional Development – by Linda Darling-Hammond ▪ The Principal as Human Resources Leader – by M. Scott Norton ▪ La gestion des ressources humaines pour la réussite scolaire, 2ᵉ édition ▪ Human Resource Management in the Education Sector, UNESCO (2022)

Title	Description
Montessori: Practical Life & Sensorial [3 Credits]	▪ The course should aim to equip teacher trainees with both theoretical knowledge and practical skills. Example objectives include: ▪ Understanding the philosophy behind the Montessori approach ▪ Mastering the use of Montessori Practical Life and Sensorial materials ▪ Learning how to prepare and organize a Montessori classroom environment ▪ Developing observation and guidance skills to support student learning ▪ Applying Montessori principles to foster independence and sensory exploration
Topics	▪ Module 1: Introduction to Montessori Education: Respect of Child, Freedom with Limits ▪ Module 2: Practical Life (Care of Self, Environment, Social Behavior, Fine Motor Skills) ▪ Module 3: Sensorial Education (Refinement of Senses) ▪ Module 4: Preparing the Montessori Classroom ▪ Module 5: Observation and Child Development ▪ Module 6: Adapting Montessori for Different Needs
Further Reading	▪ Montessori, M. (1912). The Montessori Method. ▪ Montessori, M. (1949). The Absorbent Mind. ▪ Montessori, M. (1948). From Childhood to Adolescence. ▪ Montessori, M. (1949). The Absorbent Mind. ▪ Montessori: A Modern Approach – by Paula Polk Lillard ▪ Gutek, G. (2004). The Montessori Method: The Origins of an Educational Innovation. ▪ Lillard, A. S. (2005). Montessori: The Science Behind the Genius. ▪ Chattin-McNichols, J. (1992). The Montessori Controversy. ▪ Lillard, P. P. (1996). Montessori Today: A Comprehensive Approach to Education from Birth to Adulthood. ▪ Teaching Montessori in the Home – by Elizabeth G. Hainstock

Title	Description
Intro to Montessori Education [3 Credits]	▪ The course involves blending theoretical foundations, Montessori philosophy, and practical classroom techniques. ▪ The course will give trainees a solid understanding of Montessori principles, child development theories behind it, and hands-on experience with Montessori materials and methods. ▪ It will be critical after the class for trainees to have a good understanding of the role of a teacher in a Montessori setting.
Topics	▪ Module 1: Foundations of Montessori Education: History & Background, Montessori Philosophy ▪ Module 2: The Montessori Classroom Environment: Prepared Environment, Teacher Role ▪ Module 3: Montessori Materials and Methods: Practical Life, Sensorial Materials, Language & Mathematics ▪ Module 4: Montessori and Child Development: Development Stages, Sensitive Periods ▪ Module 5: Montessori Curriculum in Action: Daily Routines, Curriculum Areas ▪ Module 6: Assessment and Observations: Observation Techniques, Child-Led Learning & Assessment
Further Reading	▪ Montessori, M. (1912). The Montessori Method. ▪ Gutek, G. (2004). The Montessori Method: The Origins of an Educational Innovation. ▪ Montessori, M. (1949). The Absorbent Mind. ▪ Lillard, P. P. (1972). Montessori: A Modern Approach. ▪ Hainstock, E. (1997). The Essential Montessori. ▪ Lillard, A. S. (2005). Montessori: The Science Behind the Genius. ▪ Montessori, M. (1948). From Childhood to Adolescence. ▪ Standing, E. M. (1957). Maria Montessori: Her Life and Work. ▪ Chattin-McNichols, J. (1992). The Montessori Controversy. ▪ Lillard, P. P. (1996). Montessori Today: A Comprehensive Approach to Education from Birth to Adulthood.

Title	Description
Well Being [3 Credits]	▪ Teaching is one of the most noble jobs one can hold, but with great rewards come immense challenges. This Thinking Out of the Box class will give different toolkits for teachers to unwind and return to homeostasis. ▪ It is equally important for teachers to understand the determinants of children’s well-being, but also to be mindful of their own. ▪ Course will cover a blend of theory, practical strategies, and reflective exercises to help trainees manage their mental, emotional, and physical health, while navigating the specific demands on teachers from students, parents, and school administrators.
Topics	▪ Understanding the diverse aspects of Well-Being: physical, emotional, social, intellectual, occupational ▪ How Well-Being affects teacher effectiveness ▪ Mental and Emotional Health: stress triggers, rest and relaxation/meditation, breath work, Mental Presence ▪ Physical Being: Exercise & Proper Nutrition, Posture and Ergonomics, Movement (stretches, exercises, walking) ▪ Professional and Social Well-Being: Classroom management, Work Life Balance, Fun ▪ Accessing support and resources: school-based and external resources, reducing stigma around mental health ▪ Harmony with the environment
Further Reading	▪ Day, C., & Gu, Q. (2014). Resilient Teachers, Resilient Schools: Building and Sustaining Quality in Testing Times. Routledge. ▪ Jennings, P. A. (2015). Mindfulness for Teachers: Simple Skills for Peace and Productivity in the Classroom. W.W. Norton & Company. ▪ Parker, P. D., & Martin, A. J. (2009). "Coping strategies and positive affect in the workplace: Evidence from a national survey of teachers." Educational Psychology, 29(2), 187–205. ▪ Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006). "Burnout and work engagement among teachers." Journal of School Psychology, 43(6), 495–513. ▪ Gold, E., Smith, A., Hopper, I., et al. (2010). "Mindfulness-based stress reduction (MBSR) for primary school teachers." Journal of Child and Family Studies, 19(2), 184–189. ▪ Ratey, J. J., & Hagerman, E. (2013). Spark: The Revolutionary New Science of Exercise and the Brain. Little, Brown and Company.

Title	Description
Linguistics [3 Credits]	▪ Critical for all learning is the ability to learn language. Understanding the principles of linguistics and how they relate to the production and comprehension of language is vital for students. Bilingual settings present an additional challenge but also benefit for teachers and students alike. (Gabi) ▪ Linguistics for Bilingual Teachers is a course designed to provide foundational knowledge of language structure, use, and acquisition, with a focus on bilingual education. It explores key linguistic concepts such as phonology, morphology, syntax, semantics, and pragmatics, emphasizing their application in multilingual classrooms. The course also examines language acquisition theories, sociolinguistic factors affecting bilingualism, and strategies for supporting language development in diverse learners. Future bilingual educators will gain practical tools to foster students' linguistic and academic success in both their native and second languages. (Chat-GPT)
Topics	▪ Phonetics, phonology, morphology, the lexicon, syntax, and conversational usage ▪ Benefits of bilingualism ▪ Foundations of Linguistics ▪ Language Acquisition and Development: first and second language acquisition theories ▪ Sociolinguistics and Bilingualism: language attitudes, policies, and their implications for teaching and learning ▪ Language and Literacy in Bilingual Education: the interplay between oral language and literacy development ▪ Applied Linguistics for the Classroom: strategies for teaching language skills in two languages (Chat-GDP)
Further Reading	▪ Bialystok, E. (2001). Bilingualism in Development: Language, Literacy, and Cognition. Cambridge, UK: Cambridge University Press. ▪ Zelasko, N., & Antunez, B. (2000). If Your Child Learns in Two Languages. National Clearinghouse for Bilingual Education. http://www.ncela.gwu.edu/files/uploads/9/IfYourChild_LearnsInTwoLangs_English.pdf ▪ Introducing Linguistics, edited by Jonathan Culpeper, Beth Malory, Claire Nance, and Daniel Van Olmen ▪ Foundations of Bilingual Education and Bilingualism by Colin Baker and Wayne E. Wright ▪ The Study of Language by George Yule ▪ Second Language Learning and Language Teaching by Vivian Cook ▪ Bilingual Education: Integrating Language and Content by Fred Genesee ▪ Sociolinguistics and Language Education, edited by Nancy H. Hornberger and Sandra Lee McKay ▪ Loud and Clear: Effective Language of Instruction Policies for Learning, The World Bank Group, 2021 (Cheikh Added)

AI-Education Hub

AI Education Hub

Insights from Thought Leaders

Audrey Azouley

Ndemo Bitange

Moustapha Cisse

DR Aoun

Audrey Azouley

AI Challenges and Opportunities

Challenges

Insufficent connectiivity and lack of devices

Varied levels of digital skills amoung teachers

Lack of time to dedicade to training outside of work

Opportunities

Designing training programs for real conditons and substainabiliity

Hands on support, identify innovative teachers to support those lagging behind , Build supportive CoPs

Incorporate digital and AI training module from preservice, TDO and ongoing training

AI-Education Hub

Our AI-Education Strategy

Potential benefits of AI in Education

Our AI Education Strategy

A. Vision Statement:

B. Mission Statement:

A. Vision Statement:

B. Intelligent Operations

C. Teacher Capacity Building

D. Intelligent Operations

E. Ethical AI & Governance

A. Adaptive Learning Environments

B. Predictive Analytics for Student Success

C. Automated Administrative Support

D. Enhanced Learning Experiences

E. Learning Analytics Dashboards

F. AI-Supported Inclusion and Accessibility

A. AI-Integrated Professional Development

B. Virtual Simulations and Immersive Learning

C. AI Coaching and Feedback Tools

D. Smart Resource Recommendations

E. Collaborative AI learning Communities

F. Ethics and AI literacy for Educators

A. AI-Powered Educational Research

B. Policy Simulation and Impact Modeling

C. Educational Data Lab for Senegal

D. Partnership for Innovation

E. Knowledge Building and Dissemination

A. Unified Digital Ecosystem

B. Cloud-Based & Scalable Infrastructure

C. Reliable Connectivity

D. Data Privacy and Protection

E. AI Governance Framework

AI-Education Hub

AI Education Resources

AI Education Resources

Other

Tool

Description

Access

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AI and Digital Innovation Datasets

AI-Education Hub

Governance & Legislation

Governance & Legislation

UNESCO: AI_Education, Guidance for Policy-Makers.

The African Union Draft Policy

Multilateral 3

Multilateral 4

Multilateral 5

Multilateral 6

Senegal

Egypt: The National Egyptian AI Strategy

Kenya National Digital Master Plan

Mauritius AI Strategy

Morocco AI Strategy & Legislation

Nigeria: National Artificial Intelligence Policy

Rwanda: AI legislation & Strategy

Africa Country 8

Canada

Chile: AI-Education Legislation

Uruguay: AI-Education Legislation