New Media Literacy Chapter 1

Chapter 1: Introduction to New Media Literacy

• New media literacy is the ability to access, analyze, evaluate, and communicate media content.
• It helps individuals understand media messages critically.
• Young people spend an average of 6.5 hours daily on media (TV, music, internet, video games).
• Increased access to media is due to mobile devices, social media, and streaming platforms.
• Media consumption often limits engagement in physical activities and family time.
• Digital literacy involves using digital tools effectively.
• Information literacy requires identifying, evaluating, and using information efficiently.
• Multicultural literacy involves understanding cultural differences in communication.
• Emerging technology literacy means adapting to new technologies and innovations.
• Traditional media includes newspapers, TV, radio, and magazines.
• New media includes social media, blogs, mobile apps, and interactive websites.
• Digital media is growing faster due to ease of access.
• Challenges of new media include misinformation and fake news, social isolation, and privacy issues concerning data collection.

Chapter 2: Internet of Things (IoT) - The Future of New Media

• IoT refers to everyday objects embedded with sensors, software, and internet connectivity.
• Devices collect and exchange data, automating processes without human intervention.
• Smart devices (TVs, wearables, voice assistants) impact media consumption with personalized content.
• IoT allows for hyper-personalized content (e.g., Spotify recommendations, Netflix algorithms).
• Businesses use IoT-generated data to predict consumer behavior.
• IoT generates massive amounts of data, analyzed for insights, improving services using AI and machine learning.
• Examples: Smart fridges suggesting grocery orders based on usage patterns.

Chapter 3: Introduction to Internet of Things (IoT)

• IoT devices consist of sensors, actuators, and connectivity modules.
• Devices automatically sense their environment and trigger actions.
• Key skills for IoT users involve:
  • Hardware development (e.g., Arduino, Raspberry Pi)
  • Networking (Wi-Fi, Bluetooth, Zigbee, RFID)
  • Application development
  • Security & Privacy
  • Machine Learning/AI analysis of IoT data
• IoT is evolving due to faster internet speeds, AI, and cloud computing..
• 5G networks will further enhance IoT capabilities.
• Businesses use IoT to increase efficiency, reduce costs, and improve decision-making.
• Real-world applications include smart homes, healthcare (remote patient monitoring), and industrial IoT (machine failure detection).

Chapter 4: Technologies Behind IoT

• Embedded Systems: Small computers built into devices (e.g., smart thermostats, automated vehicles)
• IoT Hardware: Microcontrollers (e.g., Arduino, Raspberry Pi) and Sensors (motion, temperature, GPS).
• IoT Software: RIOT OS, Thingsquare Mist
• Communication Technologies: Wi-Fi, Bluetooth, short-range communication
• RFID and NFC - Contactless data exchange (payments, access cards)
• GPS and RTLS - Real-time location tracking

Chapter 5: IoT Connection to Cloud Computing and Big Data

• Cloud platforms store and analyze IoT data in real time.
• Big data from IoT devices facilitates predictive analysis and automation.
• Examples include smart homes (adjusting lighting, security, and appliances), and smart cities (traffic control, energy management).
• Challenges involve managing large-scale data, security vulnerabilities, and systems reliability.

Chapter 6: Introduction to Big Data

• Big data encompasses large amounts of structured and unstructured data generated daily.
• Sources include social media, IoT sensors, and business transactions.
• Big data processing models include:
  • OLTP (Online Transaction Processing, banking and retail)
  • OLAP (Online Analytical Processing, business intelligence)
  • RTAP (Real-Time Analytics Processing, instant decision-making).
• Big data challenges involve efficiently managing, analyzing, and securing large datasets.