Chapter 1: Introduction to New Media Literacy

Chapter 1: Introduction to New Media Literacy

• New media literacy is the ability to access, analyze, evaluate, and communicate media content.
• It helps people understand the messages they consume.
• Young people spend an average of 6.5 hours daily on media (TV, music, internet, video games).
• Increased access to media due to mobile devices, social media, and streaming platforms.
• Engagement with physical activities and family time is limited despite high media consumption.
• Digital Literacy: The ability to use digital tools effectively.
• Information Literacy: Skills to identify, evaluate, and effectively use information.
• Multicultural Literacy: Understanding diverse cultural perspectives in communication.
• Emerging Technology Literacy: Adapting to new technologies and innovations.
• Traditional Media: Newspapers, TV, radio, and magazines.
• New Media: Social media, blogs, mobile apps, and interactive websites.
• New media has grown faster due to easier access.
• Misinformation & Fake News: Content spreads easily online, making fact-checking harder.
• Social Isolation: Overuse of digital devices reduces real-life interactions.
• Privacy Issues: Social media and online platforms collect personal data, raising concerns about surveillance.

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.
• IoT's impact on new media: Rise of smart TVs, wearables, voice assistants.
• Hyper-personalized content via IoT (Spotify recommendations, Netflix content).
• Businesses use IoT data to predict consumer behavior (example - smart fridges suggesting grocery orders).
• IoT generates massive amounts of data for business analysis and improving services, using Al and machine learning.

Chapter 3: Introduction to Internet of Things (IoT)

• IoT devices consist of sensors, actuators, and connectivity modules.
• Devices sense their environment, collect data, and automatically trigger actions. (e.g., smart thermostat)
• Key skills needed for IoT users include: Hardware development (microcontrollers like Arduino, Raspberry Pi), networking (Wi-Fi, Bluetooth, Zigbee, RFID), application development, security & privacy considerations, and machine learning/AI.
• IoT is evolving due to faster internet speeds, Al, and cloud computing, enabling increased efficiency, cost reduction, and improved decision-making.
• Real-world applications of IoT include smart homes, healthcare (remote patient monitoring), and industrial IoT (sensors in factories detecting machine failures).
• Security and privacy challenges: vulnerability to cyberattacks, strong encryption, and access control needed to protect IoT data.

Chapter 4: Technologies Behind IoT

• Embedded Systems: Small computers built into devices
• IoT Hardware: Microcontrollers (e.g., Arduino, Raspberry Pi), sensors.
• IoT Software: Examples: RIOT OS, Thingsquare Mist
• Communication Technologies: Wi-Fi and Bluetooth (short-range).

Chapter 5: IoT Connection to Cloud Computing and Big Data

• Cloud platforms store and analyze IoT data in real time.
• Massive amounts of IoT data contribute to predictive analysis and automation.
• Real-world examples: smart homes, smart cities, traffic management, energy management, surveillance.
• Challenges: managing large-scale data, security vulnerabilities, and ensuring system reliability.

Chapter 6: Introduction to Big Data

• Big data is a vast amount of structured and unstructured data generated daily.
• Sources of Big Data include social media, IoT sensors, and business transactions.
• Big Data Processing Models: OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), RTAP (Real-Time Analytics Processing)
• Big data is used for business intelligence and instant decision-making.
• Big data challenges: efficiently managing, analyzing, and securing large datasets.