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, helping individuals critically understand messages.
• Young people spend an average of 6.5 hours daily on media, which includes TV, music, internet, video games, mobile devices, social media, and streaming.
• Despite high media consumption, engagement with physical activities and family time is limited.
• Types of literacy related to media include digital literacy, information literacy, multicultural literacy, and emerging technology literacy.
• Traditional media includes newspapers, TV, radio, and magazines. New media includes social media, blogs, mobile apps, and interactive websites.
• New media is growing faster due to its accessibility.
• Challenges of new media include misinformation, fake news, social isolation (overuse of digital devices reducing real-life interactions), and privacy issues (social media and online platforms collecting 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, enabling devices to collect and exchange data, automating processes without human intervention.
• IoT's impact on new media includes the rise of smart TVs, wearables, and voice assistants, which have changed media consumption and enabled hyper-personalized content.
• Businesses use IoT-generated data to predict consumer behavior, and smart fridges can suggest grocery orders based on usage patterns.
• IoT generates massive amounts of data that businesses analyse to improve services using AI and machine learning.

Chapter 3: Introduction to Internet of Things (IoT)

• IoT devices consist of sensors, actuators, and connectivity modules, sensing the environment, collecting data, and triggering actions automatically, such as a smart thermostat adjusting room temperature.
• Necessary skills for IoT users include hardware development, networking, application development, security, and privacy, and machine learning and AI to analyze real-time IoT data.
• IoT is evolving due to faster internet speeds, AI, and cloud computing, and the adoption of 5G networks.
• Real-world applications of IoT include smart homes (automated lights, smart locks, voice assistants), and healthcare (remote patient monitoring through smart medical devices) and industrial IoT (sensors in factories for predicting machine failure).

Chapter 4: Technologies Behind IoT

• Embedded systems are small computers built into devices, for example, smart thermostats, and automated vehicles.
• IoT hardware includes microcontrollers (like Arduino and Raspberry Pi) and sensors.
• IoT software includes RIOT OS and Thingsquare Mist.
• Communication technologies include Wi-Fi and Bluetooth.

Chapter 5: IoT Connection to Cloud Computing and Big Data

• Cloud platforms store and analyze IoT data in real time.
• Massive data from IoT devices (big data) helps in predictive analysis and automation.
• Real-world examples of IoT and cloud computing interaction include smart homes, and smart cities (e.g., traffic control, energy management).
• Big Data challenges include managing large-scale data, security risks, and system reliability.
• Cloud computing provides essential infrastructure for IoT.

Chapter 6: Introduction to Big Data

• Big data refers to large amounts of structured and unstructured data generated daily.
• Sources of big data include social media, IoT sensors, and business transactions.
• Big data processing models include OLTP, OLAP, and RTAP.
• Big data challenges involve managing, analyzing, and securing large datasets.
• Big data is used for decision making in businesses, and it drives business intelligence and AI development.