ЁЯФ╣ Unit 1: Basic Concepts of ICT
GCE Advanced Level (Sri Lanka) • Complete Study Guide
1️⃣ Building Blocks: Data vs Information
ЁЯУК DATA (Raw Facts)
- Unprocessed, unorganized facts
- No context or meaning alone
- Examples:
25,"Kandy",1500
ЁЯТб INFORMATION (Processed Data)
- Data + Context + Meaning
- Useful for decision-making
- Example: "Student aged 25 from Kandy scored 1500 marks"
ЁЯОп Real-Life Example:
Supermarket Scenario
Supermarket Scenario
- Data: "10", "Rice", "500", "2024-04-07"
- Information: "10 bags of Rice sold at Rs. 500 each on April 7, 2024 → Total Revenue: Rs. 5,000"
2️⃣ Data Processing Life Cycle (DPLC)
- 1 Collection: Gathering raw data (e.g., survey forms, sensors, receipts)
- 2 Input: Entering data into system (keyboard, scanner, API)
- 3 Processing: Calculating, sorting, analyzing (CPU operations)
- 4 Storage: Saving data/information (HDD, cloud, database)
- 5 Output: Presenting results (reports, screens, prints)
- 6 Distribution: Sharing information with users
✅ Validation Techniques (Critical for Accuracy!)
| Technique | Purpose | Example |
|---|---|---|
| Range Check | Ensures value within limits | Age: 18-65 |
| Format Check | Verifies data pattern | Email: user@domain.com |
| Presence Check | Confirms field not empty | NIC number required |
| Check Digit | Detects transcription errors | ISBN, Credit Card numbers |
3️⃣ Abstract Model of Information
This model explains how information flows through conceptual layers:
ЁЯФД Information Flow Diagram:
[Source] → [Encoding] → [Channel] → [Decoding] → [Receiver]
↑ ↓
└────── [Feedback Loop] ──────────────┘
ЁЯУМ Practical Example: Online Order System
- Source: Customer places order via mobile app
- Encoding: App converts order to JSON data packet
- Channel: Internet/4G network transmits data
- Decoding: Server parses JSON, updates database
- Receiver: Warehouse system receives order details
- Feedback: SMS confirmation sent to customer
4️⃣ Six Components of an ICT System
ЁЯТ╗ Hardware
Physical devices: CPU, monitor, keyboard, servers, routers
Example: POS machine in a shop⚙️ Software
Programs & instructions: OS, apps, drivers, firmware
Example: Inventory management softwareЁЯЧГ️ Data
Facts & figures processed by the system
Example: Customer records, product pricesЁЯСе People
Users, developers, administrators, technicians
Example: Shop owner using the CRM systemЁЯУЛ Procedures
Rules, guidelines, workflows for system use
Example: "Backup database every Friday at 5 PM"ЁЯМР Networks
Communication pathways: LAN, WAN, internet, protocols
Example: Wi-Fi connecting shop devices to cloud
ЁЯТб Key Insight: All 6 components must work together! A powerful computer (hardware) is useless without software, data, trained people, clear procedures, and network connectivity.
5️⃣ Quality of Information (8 Key Characteristics)
| Characteristic | Definition | Poor Quality Example |
|---|---|---|
| Accuracy | Error-free, correct data | Price shown as Rs. 50 instead of Rs. 500 |
| Timeliness | Available when needed | Exam results published after university admissions close |
| Relevance | Applicable to user's need | Showing winter coat ads to a customer in Colombo in April |
| Completeness | All necessary details included | Order confirmation without delivery address |
| Consistency | Uniform across systems | Customer name spelled differently in billing vs. shipping |
| Accessibility | Easy to obtain by authorized users | Important notice only posted on physical board, not online |
| Verifiability | Can be confirmed as true | "50% off!" with no terms, conditions, or end date |
| Security | Protected from unauthorized access | Student grades visible to all users in a shared drive |
6️⃣ Evolution & History of Computing
ЁЯХ░️ Generations of Computers
| Generation | Period | Technology | Example |
|---|---|---|---|
| 1st | 1940-1956 | Vacuum Tubes | ENIAC, UNIVAC |
| 2nd | 1956-1963 | Transistors | IBM 1401 |
| 3rd | 1964-1971 | Integrated Circuits (IC) | IBM System/360 |
| 4th | 1971-Present | Microprocessors | Personal Computers, Smartphones |
| 5th (Emerging) | Present-Future | AI, Quantum Computing | IBM Quantum, Neural Networks |
ЁЯЗ▒ЁЯЗ░ Sri Lankan Context
- 1980s: First computer at University of Colombo
- 1990s: Introduction of ICT in education policy
- 2000s: Expansion of internet, mobile penetration
- 2020s: Digital Sri Lanka initiative, e-Government services
7️⃣ Societal Impact & Ethics
✅ Positive Impacts
- Education: e-Thaksalawa, online learning platforms
- Healthcare: e-Channeling, telemedicine in rural areas
- Commerce: Digital payments (FriMi, Genie), e-commerce growth
- Governance: e-Sri Lanka, online license applications
⚠️ Challenges & Ethics
- Digital Divide: Urban vs. rural internet access gap
- Privacy: Data collection without consent (PDPA compliance needed)
- Cybercrime: Phishing, online fraud targeting Sri Lankans
- Job Displacement: Automation affecting traditional roles
ЁЯЫб️ Ethical Principles for ICT Professionals
- Confidentiality: Protect user data (e.g., don't share customer phone numbers)
- Integrity: Ensure data accuracy; don't manipulate records
- Availability: Maintain systems for legitimate users
- Accountability: Take responsibility for system outcomes
- Respect for IP: Use licensed software; cite sources
Reference: Sri Lanka Computer Emergency Readiness Team (CERT|CC) Guidelines
❓ Practice Questions & Answers
Q1: Differentiate between data and information with a school-related example. [4 marks]
Answer:
• Data: Raw, unprocessed facts without context. Example: "85", "Maths", "Term1"
• Information: Processed data with meaning for decision-making. Example: "Student scored 85 marks in Maths Term 1 exam, which is above class average of 72"
• Information helps teachers identify student performance trends; data alone cannot.
[2 marks for definition + 2 marks for relevant example]
• Data: Raw, unprocessed facts without context. Example: "85", "Maths", "Term1"
• Information: Processed data with meaning for decision-making. Example: "Student scored 85 marks in Maths Term 1 exam, which is above class average of 72"
• Information helps teachers identify student performance trends; data alone cannot.
[2 marks for definition + 2 marks for relevant example]
Q2: Explain THREE validation techniques used during data input. [6 marks]
Answer:
1. Range Check: Ensures numeric input falls within acceptable limits. Example: Age field accepts 16-60 for A/L applicants.
2. Format Check: Verifies data matches required pattern. Example: NIC number must be 12 digits or 10 digits + letter.
3. Presence Check: Confirms mandatory fields are not left blank. Example: "Index Number" cannot be empty in exam registration.
[2 marks each: 1 for technique name + 1 for explanation/example]
1. Range Check: Ensures numeric input falls within acceptable limits. Example: Age field accepts 16-60 for A/L applicants.
2. Format Check: Verifies data matches required pattern. Example: NIC number must be 12 digits or 10 digits + letter.
3. Presence Check: Confirms mandatory fields are not left blank. Example: "Index Number" cannot be empty in exam registration.
[2 marks each: 1 for technique name + 1 for explanation/example]
Q3: Why is 'timeliness' critical for information quality in emergency services? [3 marks]
Answer:
• In emergencies (e.g., ambulance dispatch), delayed information can cost lives.
• Real-time location data of nearest ambulance enables faster response.
• Outdated traffic information may lead to inefficient routing.
[1 mark per valid point]
• In emergencies (e.g., ambulance dispatch), delayed information can cost lives.
• Real-time location data of nearest ambulance enables faster response.
• Outdated traffic information may lead to inefficient routing.
[1 mark per valid point]
Q4: List the SIX components of an ICT system and give ONE Sri Lankan example for 'Procedures'. [7 marks]
Answer:
Components (1 mark each, max 6): Hardware, Software, Data, People, Procedures, Networks
Procedure Example: "All government e-services must use two-factor authentication as per ICTA security policy" OR "School computer labs require login with student index number before internet access"
[1 mark for relevant local procedure example]
Components (1 mark each, max 6): Hardware, Software, Data, People, Procedures, Networks
Procedure Example: "All government e-services must use two-factor authentication as per ICTA security policy" OR "School computer labs require login with student index number before internet access"
[1 mark for relevant local procedure example]
Q5: How has ICT reduced the 'digital divide' in rural Sri Lanka? Provide TWO specific initiatives. [4 marks]
Answer:
1. Nenasa TV/Online Classes: Free educational content via TV and YouTube during pandemic, reaching students without smartphones.
2. Community Information Centers (CICs): Government-established centers in divisional secretariats providing free internet/computer access for rural citizens.
[2 marks per initiative: 1 for naming + 1 for explanation of impact]
1. Nenasa TV/Online Classes: Free educational content via TV and YouTube during pandemic, reaching students without smartphones.
2. Community Information Centers (CICs): Government-established centers in divisional secretariats providing free internet/computer access for rural citizens.
[2 marks per initiative: 1 for naming + 1 for explanation of impact]
ЁЯОп Exam Tips for Unit 1
- Always use Sri Lankan context in examples for higher marks
- For "explain" questions: Definition + Example + Significance
- Memorize the 8 quality characteristics using acronym: ART CC AVS (Accuracy, Relevance, Timeliness, Completeness, Consistency, Accessibility, Verifiability, Security)
- Practice drawing the DPLC flowchart with validation checkpoints
1.1 Data and Information
In-depth Analysis of Data
Data is the foundation of Information and Communication Technology (ICT). Data refers to a collection of raw facts, words, symbols, or numbers that have not been processed and do not carry a specific meaning or purpose. The primary nature of data is that it acts as raw material used to produce information. When data is used alone, it does not provide meaningful conclusions for decision-making.
Examples of Data:
- Measurements or images
- Words and sounds
- Marks, height, weight, age (quantitative data)
In-depth Analysis of Information
Information is the result obtained after processing data. It is meaningful, organized, and can be used for decision-making. Information is always processed, contextualized, and directly useful for making decisions.
Characteristics of Quality Information:
- Accuracy: Must be correct for reliable decisions
- Timeliness: Must be up-to-date
- Completeness: Should contain all necessary details
- Relevance: Must be appropriate for the task
- Understandability: Should be easy to understand
Table 1: Comparison between Data and Information
| Feature | Data | Information |
|---|---|---|
| Definition | Unprocessed raw facts without meaning | Processed, meaningful data used for decision-making |
| Nature | Raw material | Output |
| Usefulness | Not directly useful for decisions | Helps in decision-making |
1.2 Data Processing Life Cycle and Drawbacks of Manual Data Handling
Data Life Cycle
The Data Life Cycle refers to the process of creating data, managing it to generate information, and removing data that is no longer needed.
Main Stages of Data Life Cycle:
- Data Creation: Inputting required data into the system
- Data Management: Secure storage and maintenance of data
- Removal of Obsolete Data: Deleting outdated data
The main steps of the Data Processing Life Cycle (DPLC) are: Data collection, validation, processing, output, and storage.
Major Drawbacks of Manual Data Handling:
- High risk of human errors: Mistakes and delays
- Inefficiency: Time-consuming processes
- Inconsistency: Data duplication and lack of standardization
1.3 Classification of Software: Open Source vs Proprietary
System Software and Application Software
- System Software: Acts as a bridge between hardware and user (e.g., Operating Systems)
- Application Software: Designed to perform specific tasks (e.g., MS Word)
Open Source Software (OSS) vs Proprietary Software
Open Source Software (OSS) provides access to its source code, allowing users to modify it. In contrast, proprietary software keeps the source code hidden and requires a license for use.
1.4 Use and Impact of Information and Communication Technology (ICT)
Areas of ICT Applications:
- Education: E-learning, distance learning
- Healthcare: Telemedicine, diagnostic systems
- Business: E-commerce, online banking
Social and Environmental Issues in ICT:
- Digital Divide: Inequality in access to technology
- E-waste: Environmental pollution from electronic waste
- Green Computing: Environmentally friendly use of ICT resources
Data Life Cycle (Extended)
Main 7 Steps of Data Life Cycle:
- Data Generation: Creation or input of new data
- Data Collection: Gathering data from various sources
- Data Storage: Saving data securely (hard drives/cloud)
- Data Processing: Converting raw data into information
- Data Transmission: Sending data between locations
- Data Usage: Using data for decisions or operations
- Data Destruction: Permanently deleting unnecessary data
Advantages:
- Data Security: Prevents misuse of data
- Efficiency: Faster decision-making through proper management
- Legal Compliance: Meets data retention regulations
рокроХ்роХроо் 1: роЕро▒ிрооுроХроо்
- роЗродு роХро▓்ро╡ிрок் рокொродுрод் родро░ாродро░ роЙропро░்родро░ (GCE A/L) родроХро╡ро▓் рооро▒்ро▒ுроо் родொроЯро░்рокாроЯро▓் родொро┤ிро▓்роиுроЯ்рокро╡ிропро▓் (ICT) рокாроЯрод்родிро▒்роХாрой роЕро▓роХு - 1 роХுро▒ிрок்рокுроХро│் роЖроХுроо்[80, 87].
- роЖроЪிро░ிропро░் родிро░ு. V. ропோроХро░ாроЬா роЕро╡ро░்роХро│ாро▓் роЗродு родொроХுроХ்роХрок்рокроЯ்роЯுро│்ро│родு[83, 91].
рокроХ்роХроо் 2: родро░ро╡ு (Data)
- родро░ро╡ு: роТро░ு рооுро▒ைрооைроХ்роХு роЙро│்ро│ீроЯாроХ ро╡ро┤роЩ்роХрок்рокроЯுроо் роЕроЯிрок்рокроЯை ро╡ிроЯропроЩ்роХро│். роЗро╡ை родெро│ிро╡ாрой роЕро░்род்родрооро▒்ро▒ро╡ை[97, 99, 100].
- ро╡роХைроХро│்:
- роЕро│ро╡ுроЪாро░் родро░ро╡ு (Quantitative): роОрог்роХро│ாро▓் роЕро│роХ்роХроХ்роХூроЯிропро╡ை (роО.роХா: ро╡ிройாрод்родாро│ிро▓் рокெро▒்ро▒ рокுро│்ро│ிроХро│்)[101, 102, 107].
- рокрог்рокுроЪாро░் родро░ро╡ு (Qualitative): роЗропро▓்рокுроХро│ைроХ் роХொрог்роЯு роЕроЯைропாро│роо் роХாрогрок்рокроЯுрокро╡ை (роО.роХா: рокூро╡ிрой் роиிро▒роо்)[101, 104, 106].
рокроХ்роХроо் 3: родро░ро╡ு ро╡ாро┤்роХ்роХை ро╡роЯ்роЯроо் рооро▒்ро▒ுроо் родроХро╡ро▓்
- родро░ро╡ு ро╡ாро┤்роХ்роХை ро╡роЯ்роЯроо்: родро░ро╡ு роЙро░ுро╡ாроХ்роХроо், роЪேрооிрок்рокு, рокропрой்рокாроЯு рооро▒்ро▒ுроо் рокропройро▒்ро▒ рокோродு роЕродை роиீроХ்роХுродро▓் роЖроХிропро╡ро▒்ро▒ை роЙро│்ро│роЯроХ்роХிропродு[113, 115, 131].
- родроХро╡ро▓் (Information): родро░ро╡ுроХро│ை рооுро▒ைро╡ро┤ிропாроХ்роХроо் (Processing) роЪெроп்род рокிрой் роХிроЯைроХ்роХுроо் роЕро░்род்родрооுро│்ро│ ро╡ெро│ிропீроЯு родроХро╡ро▓் роЖроХுроо்[118, 120].
рокроХ்роХроо் 4: родроХро╡ро▓ிрой் рокрог்рокுроХро│்
- роТро░ு роЪிро▒рои்род родроХро╡ро▓் рокிрой்ро╡ро░ுроо் рокрог்рокுроХро│ைроХ் роХொрог்роЯிро░ுроХ்роХ ро╡ேрог்роЯுроо்: рокொро░ுрод்родроо் (Relevance), роХாро▓роо் (Time), родுро▓்ро▓ிропроо் (Accuracy), рооுро┤ுрооை (Completeness) рооро▒்ро▒ுроо் ро╡ிро│роЩ்роХிроХ்роХொро│்ро│ுроо் родрой்рооை[138, 139, 141, 146, 147, 149].
- родроХро╡ро▓ிрой் рокொрой்ро╡ிродி (Golden Rule): родроХро╡ро▓் роЙро░ுро╡ாроХ்роХрок்рокроЯ்роЯ роиேро░род்родிро▓் роЕродрой் рокெро▒ுроородி роЕродிроХрооாроХ роЗро░ுроХ்роХுроо், роХாро▓роо் роЪெро▓்ро▓роЪ் роЪெро▓்ро▓ роЕродрой் рокெро▒ுроородி роХுро▒ைропுроо்[152, 154, 155].
рокроХ்роХроо் 5: родро░ро╡ு рооுроХாрооைрод்родுро╡роо் (Data Management)
- рокெро░ிроп роЕро│ро╡ிро▓ாрой родро░ро╡ுроХро│ை (Big Data) роХைропாро│ுро╡родுроо் роЕро╡ро▒்ро▒ை роиிро▒ுро╡ройрод்родிрой் родேро╡ைроХ்роХேро▒்рок рокроХுрок்рокாроп்ро╡ு роЪெроп்ро╡родுроо் роЗрой்ро▒ைроп роЪро╡ாро▓ாроХுроо்[165, 166, 168].
- роХைрооுро▒ை vs родாройிропроЩ்роХு: роХைрооுро▒ை рооுро▒ைро╡ро┤ிропாроХ்роХро▓ிро▓் роиேро░роо் роЕродிроХроо் роОроЯுроХ்роХுроо் рооро▒்ро▒ுроо் рокிро┤ைроХро│் роПро▒்рокроЯ ро╡ாроп்рок்рокுрог்роЯு. родாройிропроЩ்роХு рооுро▒ைропிро▓் ро╡ேроХроо் рооро▒்ро▒ுроо் родுро▓்ро▓ிропроо் роЕродிроХроо்[173, 174, 175, 179, 183].
рокроХ்роХроо் 6 & 7: роЗрогைропроо் (Internet) рооро▒்ро▒ுроо் роЕродрой் роЪேро╡ைроХро│்
- роЗрогைропроо்: ро╡ро▓ைропрооைрок்рокுроХро│ிрой் ро╡ро▓ைропрооைрок்рокு роОройрок்рокроЯுроо். роЗродு 1969 роЗро▓் ARPANET рооூро▓роо் родொроЯроЩ்роХிропродு[189, 191, 193, 195].
- роЗрогைропроЪ் роЪேро╡ைроХро│்: роЙро▓роХро│ாро╡ிроп ро╡ро▓ை (WWW), рооிрой்ройроЮ்роЪро▓் (E-mail), роХோрок்рокுрок் рокро░ிрооாро▒்ро▒роо் (FTP), роХாрогொро│ி рооாроиாроЯு (Video Conference) рокோрой்ро▒ро╡ை[207].
- роиெро▒ிрооுро▒ை (Protocol): родроХро╡ро▓் рокро░ிрооாро▒்ро▒род்родிро▒்роХாрой ро╡ிродிроХро│். роЗрогைропроо் TCP/IP роиெро▒ிрооுро▒ைропைрок் рокропрой்рокроЯுрод்родுроХிро▒родு[204, 205].
рокроХ்роХроо் 8: роЙро▓роХро│ாро╡ிроп ро╡ро▓ை (WWW)
- роЯிроо் рокேро░்ройро░்ро╕் ро▓ீ роОрой்рокро╡ро░ாро▓் 1991 роЗро▓் роЕро▒ிрооுроХроо் роЪெроп்ропрок்рокроЯ்роЯродு[213, 214].
- HTTP: роХோрок்рокுроХро│ைрок் рокро░ிрооாро▒ роЙродро╡ுроо் ро╡ிродி[215].
- URL: роТро░ு ро╡ро▓ைрод்родро│род்родிрой் родройிрод்родுро╡рооாрой рооுроХро╡ро░ி[227, 229].
- Web Browser: ро╡ро▓ைрок்рокроХ்роХроЩ்роХро│ைрок் рокாро░்ро╡ைропிроЯ роЙродро╡ுроо் рооெрой்рокொро░ுро│் (роО.роХா: Google Chrome)[224, 225].
рокроХ்роХроо் 9: рооேроХроХ் роХрогிрооை (Cloud Computing) рооро▒்ро▒ுроо் рооுро▒ைрооை
- рооேроХроХ் роХрогிрооை: роЗрогைропрод்родிрой் роКроЯாроХ роЪேрооிрок்рокு, рооெрой்рокொро░ுро│் рооро▒்ро▒ுроо் рокிро▒ роЪேро╡ைроХро│ைрок் рокெро▒ுродро▓்[258, 259, 261].
- роЪேро╡ை рооாродிро░ிроХро│்:
- IaaS (роЙроЯ்роХроЯ்роЯрооைрок்рокு)[268]
- PaaS (роЪேро╡ைрод் родро│роо்)[274]
- SaaS (рооெрой்рокொро░ுро│்)[277]
- рооுро▒ைрооை (System): роТро░ு рокொродுро╡ாрой роЗро▓роХ்роХை роЕроЯைроп роТрой்ро▒ிрогைрои்родு роЪெропро▓்рокроЯுроо் роХூро▒ுроХро│ிрой் родொроХுродி[279, 280].
рокроХ்роХроо் 10: роХрогிройி рооுро▒ைрооை
- роХрогிройி роРрои்родு роЕроЯிрок்рокроЯைроЪ் роЪெропро▓்роХро│ைроЪ் роЪெроп்роХிро▒родு: роЙро│்ро│ீроЯு рокெро▒ுродро▓், роЪேрооிрод்родро▓், рооுро▒ைро╡ро┤ிропாроХ்роХроо், ро╡ெро│ிропீроЯு родро░ுродро▓் рооро▒்ро▒ுроо் роХроЯ்роЯுрок்рокроЯுрод்родро▓்[309, 310, 313, 314, 316, 318].
- роХрогிройிропிрой் роХூро▒ுроХро│்: ро╡рой்рокொро░ுро│் (Hardware), рооெрой்рокொро░ுро│் (Software), роиிро▓ைрокொро░ுро│் (Firmware), роЙропிро░்рокொро░ுро│் (Liveware)[320].
- Primary: "A/L ICT Chapter 1 Sri Lanka", "Basic Concepts of ICT A/L", "ICT A/L syllabus Sri Lanka Tamil medium" Secondary: "data information knowledge ICT A/L", "Data Processing Life Cycle A/L", "generations of computers A/L ICT", "socio economic impact of ICT Sri Lanka" Long-tail: "A/L ICT structural exam questions Chapter 1", "IPO model data processing A/L ICT", "TACO U information quality A/L" ЁЯУМ AEO (Answer Engine Optimization) — Direct Q&A Format ❓ What is the difference between data, information, and knowledge in ICT? Term Definition Example Data Unprocessed, raw facts with no meaning 38, C Information Processed data in meaningful context "Colombo temperature is 38°C" Knowledge Applying information to make decisions Turning on AC because 38°C is hot ❓ What is the IPO model in data processing? Input → Process → Output: Raw data (marks) → Processing (average) → Output (report card) ❓ What are the 5 qualities of good information (TACO U)? Timeliness, Accuracy, Completeness, Relevance, Understandability ❓ What are the 5 stages of Data Processing Life Cycle (DPLC)? Data Gathering → 2. Validation → 3. Processing → 4. Output → 5. Storage ❓ What are the 5 components of an Information System? Hardware, Software, Data, Procedures, People ❓ What are the 5 generations of computers? Gen Technology Key Invention 1st Vacuum Tubes ENIAC, punch cards 2nd Transistors Assembly language 3rd Integrated Circuits Operating systems 4th VLSI/Microprocessors PCs, GUI 5th ULSI AI, Quantum computing ❓ What is the digital divide in ICT? Economic/social inequality in access to digital technologies between populations ЁЯМН GEO (Geographic Optimization) — Sri Lanka Context ЁЯУН Localized Keywords for Sri Lankan Students "A/L ICT Tamil medium Sri Lanka" "G.C.E. Advanced Level ICT Colombo" "ICT past papers Sri Lanka Chapter 1" "NVQ ICT course Sri Lanka Tamil" ЁЯЗ▒ЁЯЗ░ Sri Lanka-Specific Examples Healthcare: Teledoc services in Colombo hospitals Education: Open University of Sri Lanka online portals Commerce: Pictureф╣РцЫ▓ (e-banking), Mobitel washer (digital wallet) Government: e-Government portal for passport/tax filings ЁЯФС Key Concepts for Structural Exam Questions Golden Rule: Data → Information Transformation text [Raw Data] ───► [Processing] ───► [Information] (Marks) → (Average) → (Report Card) Manual vs Automated Processing Aspect Manual Automated Speed Slow Massive speed Error High human error Accurate Storage Bulky files Cloud/hard drives Search Difficult Instant Socio-Economic Impact — Pros & Cons ✅ Positive ❌ Negative Distance learning Digital divide Telemedicine Job displacement e-Banking RSI, vision strain e-Government Cyber risks, malware E-waste accumulation
