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New technologies applied to education. - Coggle Diagram
New technologies applied to education.
. Fundamentals of Educational Technology (informal version
Models of technology integration
• SAMR:
Substitution → Augmentation → Modification → Redefinition.
• TPACK: balance between content, pedagogy, and technology.
• Tech maturity models: assessing how ready an institution is to integrate technology
Digital divide and educational equity
• Three levels of divide: access, skills, real benefits.
• Impact: fewer opportunities for those with less access.
• Solution: universal access, critical digital literacy, inclusive content.
• Goal: true digital inclusion, not just “handing out computers.”
Theoretical approaches to technology and learning
• Constructivism: learning by doing, using technology as a tool.
• Social Constructivism (Vygotsky): tech as a bridge for learning together.
• Connectivism: learning to navigate info networks and digital communities.
• Situated learning: using tech in real, authentic contexts.
• Multimedia learning: mixing text and images to learn better.
Digital competencies for teachers and students
• Digital teachers: plan online classes, use digital resources, assess virtually, promote digital citizenship.
• Digital students: learn on platforms, find reliable info, think critically, be responsible digital citizens.
• Common challenges: security, data protection, ethical tech use.
• Continuous training: key to staying updated.
Educational transformations in the digital age
• Teacher 2.0: from “explainer” to guide, designer, and facilitator.
• Proactive student: searches, analyzes, creates, and collaborates.
• Classroom without walls: learning anytime, anywhere.
• New strategies: projects, challenges, flipped learning, gamification.
• Watch out for challenges: digital divide, info overload, need for teacher training.
Artificial Intelligence in Education
Personalized learning
• AI adapts content to pace, style, needs.
• Unique learning paths: reinforcement, extra challenges, different formats.
• Teacher benefit: clear dashboards with student data.
• Risk: overdependence on tech, less critical thinking.
• Learning goal: analyze pros & limits of personalization.
Ethical risks & algorithmic bias
• Bias: AI can reproduce social inequalities.
• Privacy: risks with personal data & opaque decisions.
• Autonomy: danger of blindly trusting the machine.
• Need: ethical literacy + clear regulations.
• Learning goal: recognize ethical & social implications of AI.
Virtual Assistants & Intelligent Tutors
• Virtual Assistants: chatbots, Siri, Alexa, Google Assistant.
• Intelligent Tutors: simulate a teacher, personalize explanations.
• Benefit: real-time support, even outside class.
• Risk: cannot replace teachers + must respect privacy.
• Learning goal: identify how they support (but don’t replace) teachers.
Learning Analytics (Educational Data Analysis)
• Data: access, participation, grades, study time.
• Uses: detect dropout risks, adapt materials, measure effectiveness.
• Institutional use: improve policies & academic management.
• Caution: protect privacy, don’t reduce students to “just data.”
• Learning goal: use data critically to improve educational decisions.
Key AI concepts
• What is AI? → Systems that imitate human intelligence.
• Machine Learning: supervised, unsupervised, reinforcement learning.
• Neural networks → behind voice recognition, translation, computer vision.
• Natural Language Processing (NLP) → chatbots, assistants, grammar checkers.
• Learning goal: understand how AI works + its educational uses.
Virtual Platforms and Digital Environments
Hybrid and blended learning models
• Mix face-to-face and virtual learning coherently.
• Models: Station rotation, Lab rotation, Flex model, Flipped classroom
• Adapt pace and resources to student needs.
• Consider infrastructure, teacher training, equity of access.
Digital interaction and communication
• Synchronous (video calls, live chat) vs. asynchronous (forums, messages, email).
• Tools for collaboration: whiteboards, wikis, blogs, polls.
• Build trust + clear participation rules.
• Digital communication skills: ethics, clarity, respect.
Instructional design in virtual environments
• Plan online courses with student autonomy + tech mediation.
• Organize content into clear modules with objectives.
• Select varied resources (text, video, audio, infographics).
• Design formative, summative, and self-assessments.
Online learning assessment
• Use LMS tools: quizzes, tasks, portfolios, analytics.
• Authentic activities: projects, real-world problem solving.
• Ensure academic integrity and fairness.
• Communicate expectations transparently (rubrics, guides).
Types of LMS (Learning Management Systems)
• Open-source (Moodle, Chamilo, Canvas) vs. commercial (Blackboard, Brightspace, Schoology).
• Pros & cons: flexibility, costs, support, customization.
• Synchronous vs. asynchronous uses (school, university, corporate).
• Key requirements: accessibility, security, compatibility, adaptability.
Digital Tools for Teaching
Presentation and interaction tools
• 🎤 Present with style: PowerPoint, Google Slides, Prezi, Genially.
• 🎯 Get students involved: Mentimeter, Kahoot!, Nearpod, Pear Deck.
• 🎨 Dynamic learning: mix text, images, audio, animations.
• 🔄 Reuse and update: build your own presentation library.
• ⚠️ Warning: the tool should serve the content, not the other way around.
Collaborative and productivity apps
• 🤝 Online teamwork: Google Workspace, Microsoft 365, Trello, Padlet, Miro, Canva.
• 📝 Co-create in real time: edit docs together, give instant feedback.
• ⏳ Save time: organize tasks, automate stuff, communicate easily.
• 🚀 Skills developed: teamwork, creativity, autonomy.
• 📌 Key point: don’t use tools just because they’re trendy, but with real teaching purpose.
Gamification resources
• 🕹 Learn by playing: Kahoot!, Quizizz, Classcraft, Blooket, Educaplay.
• 🏆 Motivate with challenges: points, levels, rankings, badges.
• 📚 Stories and missions: narratives that engage students.
• 💬 Instant feedback: learn from mistakes without fear.
Digital assessment tools
• 📝 Online evaluation: Google Forms, Microsoft Forms, Socrative, Moodle Quiz.
• 📊 Types of questions: multiple choice, short answer, surveys, scales.
• ⏱ Instant feedback: correct and suggest improvements on the spot.
• 🔍 Continuous assessment: real tracking of learning.
• ⚠️ Challenges: access, privacy, avoiding “automatic” meaningless testing.
Criteria for selecting tools
• 🎯 Pedagogical alignment: first the objective, then the tool.
• 🖥 Usability: easy for teachers and students.
• 🔐 Security: protect data and privacy.
• 🔄 Sustainability: long-term use and support.
• 🧪 Test before adopting: pilots and student feedback.