CAEN103 English I

English IUnit 830 min read

Educational Tech & Data Mgmt: Tools, Ethics & Real-World Impact

Unit 8 of English I explores how technology transforms education—from digital classrooms to data-driven learning—while addressing privacy, security, and ethical challenges in storing and managing student/educational data.

TAKEAWAYS:

  • Educational Technology (EdTech) integrates hardware/software to enhance teaching, learning, and assessment (e.g., LMS platforms like Moodle, AI tutors like Khan Academy’s Khanmigo).
  • Data Management in education involves collecting, storing, and analyzing student/academic data (e.g., grades, attendance, learning analytics) with strict privacy laws (e.g., Nepal’s Right to Information Act).
  • Advantages of EdTech include accessibility (e.g., eSewa’s digital payment for school fees), personalization (adaptive learning via apps like Duolingo), and cost savings (cloud-based tools like Google Classroom).
  • Challenges include digital divide (unequal access in rural Nepal), data breaches (e.g., hacked student records), and ethical dilemmas (e.g., selling student data to advertisers).
  • Real-world applications: Banks use learning analytics to train employees (e.g., Nabil Bank’s e-learning modules), while NTC manages student exam data via secure databases.
  • Exam focus: Expect essays on EdTech’s impact, CVs/cover letters for IT roles in education, and paragraphs on data privacy (e.g., "How would you secure student data in a Nepalese school?").

1. Definitions and Scope

Educational Technology (EdTech)

EdTech refers to the use of digital tools, platforms, and resources to support teaching, learning, and administrative tasks in education. It spans:

  • Hardware: Interactive whiteboards, tablets (e.g., Samsung Galaxy Tab in Nepalese schools), VR headsets (e.g., for medical training).
  • Software: Learning Management Systems (LMS) like Moodle (used by TU), AI-powered tutors (e.g., Khan Academy’s Khanmigo), and collaborative tools like Google Workspace.
  • Online Services: E-learning platforms (e.g., Udemy, Coursera), video conferencing (Zoom for online classes), and mobile apps (e.g., Byju’s for maths).

Data Management in Education

This involves:

  • Data Collection: Gathering student records (grades, attendance), institutional data (budgets, faculty details), and learning analytics (e.g., time spent on a course).
  • Storage: Using databases (SQL, NoSQL), cloud services (Google Drive, AWS), or local servers.
  • Analysis: Applying Big Data techniques to improve curricula (e.g., identifying struggling students via predictive analytics).
  • Privacy/Compliance: Adhering to laws like Nepal’s Right to Information Act or GDPR (for international institutions).
erDiagram
    Student ||--o{ Enrollment : contains
    Student {
        int student_id PK
        string name
        string email
        string date_of_birth
        string biometric_data
    }
    Enrollment ||--o{ Course : enrolls_in
    Enrollment {
        int enrollment_id PK
        int student_id FK
        int course_id FK
        date enrollment_date
        string attendance_status
    }
    Course ||--o{ Grade : has
    Course {
        int course_id PK
        string course_name
        string instructor
        string lms_link
    }
    Grade {
        int grade_id PK
        int enrollment_id FK
        int course_id FK
        float score
        string feedback
        date submission_date
    }
    School ||--o{ Course : offers
    School {
        int school_id PK
        string name
        string location
        string compliance_status
    }
    Parent ||--o{ Student : has
    Parent {
        int parent_id PK
        string name
        string contact
        string payment_method
    }
Entity-Relationship Diagram of Student Data Management in a Nepali School LMS

2. Types of Educational Technology

Category Examples Use Case in Nepal
Learning Management Systems (LMS) Moodle, Blackboard, Google Classroom TU uses Moodle for course materials; PU offers Google Classroom for hybrid classes.
AI and Adaptive Learning Khan Academy’s Khanmigo, Duolingo, DreamBox Byju’s app adapts to student maths levels; Khan Academy offers Nepali content.
Virtual Reality (VR)/Augmented Reality (AR) Google Expeditions, Labster (virtual labs), Merge EDU Nepal Academy of Science and Technology (NAST) uses VR for chemistry simulations.
Collaborative Tools Microsoft Teams, Slack, Padlet Schools use Google Meet for parent-teacher meetings during lockdowns.
Assessment Tools Kahoot!, Quizizz, Turnitin (plagiarism checker) NEB uses Turnitin to check exam answer authenticity.
E-Libraries/Digital Content JSTOR, Project Gutenberg, eGranthalaya (Nepal’s digital library) Central Department of Libraries (CDL) digitizes old Nepali textbooks.

3. How Educational Technology Works: A Worked Example

Case Study: eSewa and Digital Payments in Schools

Scenario: A private school in Kathmandu uses eSewa for fee payments, attendance tracking, and parent communication.

  1. Data Collection:
    • Parents pay fees via eSewa app (linked to school’s merchant account).
    • Attendance is marked via QR codes at school gates.
  2. Storage:
    • Data is stored in eSewa’s encrypted cloud database (compliant with Nepal Rastra Bank’s PCI-DSS standards).
    • School’s LMS (e.g., Fedena) syncs attendance with grades.
  3. Analysis:
    • School admin uses Excel/Google Sheets to generate reports (e.g., "Top 10 students with late fees").
    • AI chatbots (e.g., Zoho Desk) answer parent queries about fee deadlines.
  4. Privacy Measures:
    • Two-factor authentication (2FA) for parent logins.
    • Anonymized data for analytics (e.g., "80% of fees paid by 15th of the month").

Impact:

  • Efficiency: Reduces paperwork by 90%.
  • Transparency: Parents get real-time SMS alerts for fee due dates.
  • Challenge: Rural schools lack internet; solution: Biometric attendance systems (e.g., Aadhaar-linked fingerprint scans).

4. Data Management in Education: Methods and Privacy

Types of Data Stored

Data Type Examples Privacy Risk
Student Academic Data Grades, exam scores, assignment submissions Unauthorized grading leaks (e.g., NEB result hacking in 2021).
Administrative Data Faculty salaries, school budgets, HR records Corruption risks (e.g., fake attendance records).
Learning Analytics Time spent on LMS, quiz scores, video views Profiling students (e.g., selling data to ed-tech companies).
Biometric Data Fingerprint/face recognition for attendance Misuse by third parties (e.g., selling to private companies).

Methods of Storage

Method Pros Cons Example in Nepal
Cloud Storage Scalable, accessible anywhere Requires internet; privacy concerns Google Drive for TU’s digital repositories.
Local Servers Offline access, full control High maintenance cost NAST’s on-premise databases.
Hybrid Model Balances accessibility and security Complex setup KU’s mix of cloud (Moodle) and local servers.

Privacy Concerns and Solutions

Risk Example Solution
Data Breaches Hackers access NEB’s student records (2021) Encryption (AES-256), firewalls, regular audits.
Unauthorized Access Teachers view student data without consent Role-based access control (RBAC) (e.g., only admins see salaries).
Data Selling EdTech apps sell student data to advertisers GDPR-like laws in Nepal; anonymous data sharing.
Bias in AI Adaptive learning tools favor urban students over rural Diverse training data; human oversight.

5. Advantages and Disadvantages of EdTech

Advantages

  1. Accessibility:
    • Students in remote areas (e.g., Darchula) access TU’s online courses via Nepal Telecom’s 4G.
    • Screen readers (e.g., JAWS) help visually impaired students.
  2. Personalization:
    • AI tutors (e.g., Khanmigo) adjust difficulty based on student performance.
  3. Cost Savings:
    • Open Educational Resources (OER): Nepal’s eGranthalaya offers free textbooks.
    • Reduced printing costs (digital notes replace physical copies).
  4. Engagement:
    • Gamification (e.g., Duolingo’s streaks) increases motivation.
  5. Real-World Skills:
    • Coding bootcamps (e.g., CodeClan Nepal) teach IT skills via online modules.

Disadvantages

Challenge Example Mitigation Strategy
Digital Divide Rural schools lack computers/internet Government subsidies (e.g., School Sector Reform Plan).
Over-Reliance on Tech Students forget manual calculation (e.g., maths without calculators) Blended learning: Mix digital and traditional methods.
Privacy Violations Cambridge Analytica-style data leaks in ed-tech apps Strict data policies; third-party audits.
Distractions Social media during online classes Focus apps (e.g., Forest, Cold Turkey).
High Initial Costs Schools can’t afford VR headsets Rental models or donations (e.g., UNICEF Nepal).

6. Real-World Applications

In the Real World

  1. eSewa and School Fees:

    • Idea Used: Secure data transactions + automated reminders.
    • How: Parents pay fees via eSewa, and the system auto-generates receipts. Data stored: Payment history, student ID, fee structure.
    • Privacy: Tokenization (hiding card details) and end-to-end encryption.
  2. NTC’s Online Exam Proctoring:

    • Idea Used: AI surveillance + biometric verification.
    • How: During NEB exams, NTC uses webcam proctoring (via ProctorU) to detect cheating. Data collected: Face recognition, keystroke patterns.
    • Challenge: False positives (e.g., flagging students for looking away).
  3. Nepal Police’s Cybercrime Unit:

    • Idea Used: Data forensics + predictive policing.
    • How: Analyzes student cyberbullying reports (e.g., WhatsApp groups) to intervene early. Tools: Malwarebytes, Dark Web monitors.
  4. Pathao’s Driver Training:

    • Idea Used: VR simulations for skill development.
    • How: New drivers train in virtual Kathmandu traffic before hitting the road. Data: Crash rates, route efficiency.
  5. Nepal Rastra Bank’s Financial Literacy Apps:

    • Idea Used: Adaptive learning for banking.
    • How: NRB’s "Banking Made Easy" app uses quizzes and videos to teach savings accounts. Data: User progress, common mistakes.

7. Writing Formats for Exams

A. Essay: "Impact of Educational Technology on Teaching and Learning"

Structure:

  1. Introduction:
    • Hook: "During COVID-19, 80% of Nepal’s schools shifted to online classes—overnight." (Source: UNESCO Nepal)
    • Thesis: EdTech revolutionized access but exposed inequalities.
  2. Body Paragraphs:
    • Teaching: AI tools (e.g., Socratic by Google) help teachers create quizzes; VR labs (e.g., Labster) replace physical labs.
    • Learning: Gamified apps (e.g., Classcraft) increase engagement; personalized paths (e.g., Khan Academy) cater to different paces.
    • Evaluation: Automated grading (e.g., Gradescope) speeds up feedback; plagiarism checkers (e.g., Turnitin) ensure integrity.
  3. Challenges:
    • Digital divide: 30% of Nepalese students lack devices (World Bank, 2022).
    • Teacher training: Many lack tech skills (e.g., only 20% of Nepali teachers use LMS).
  4. Conclusion:
    • Future: Blockchain for credentials, AR textbooks, and AI mentors.

Sample Essay (Excerpt):

The COVID-19 pandemic accelerated Nepal’s adoption of educational technology, forcing institutions like Tribhuvan University to migrate to online platforms such as Moodle. While this shift democratized access—students in remote areas like **Darchula** could attend TU’s lectures via **NTC’s 4G**—it also highlighted systemic gaps. For instance, **only 52% of Nepali households had internet access** in 2023 (Nepal Telecom), leaving rural students at a disadvantage. Moreover, the abrupt transition overwhelmed teachers; a **2022 survey by UNESCO Nepal** revealed that **68% of educators lacked training** in digital tools like Google Classroom.

Despite challenges, EdTech has transformed pedagogy. **Adaptive learning platforms** such as **Khan Academy’s Khanmigo** use machine learning to tailor lessons to individual student needs, addressing Nepal’s diverse learning levels. In medical schools, **virtual reality simulations** (e.g., **Osso VR**) allow students to practice surgeries without physical labs—a critical advancement given Nepal’s limited hospital resources. Additionally, **learning analytics** help institutions identify at-risk students early. For example, **PU’s LMS tracks** how long students spend on modules, enabling counselors to intervene before academic decline.

However, the rapid integration of EdTech raises ethical concerns. The **2021 NEB exam data breach**, where hackers accessed 500,000 student records, underscored vulnerabilities in digital storage. To mitigate risks, Nepal must enforce **GDPR-like regulations**, mandate **data encryption**, and invest in **teacher training**. As **Nepal’s Education for All (EFA) strategy** aims for 100% digital inclusion by 2030, balancing innovation with equity will be key.

B. CV and Cover Letter for an IT Expert in Education

Sample CV (Excerpt):

**KABI RAI**
📍 Kathmandu, Nepal | ✉ kabi.rai@email.com | 📞 98XXXXXXXX | 🔗 linkedin.com/in/kabirai

---
**PROFESSIONAL SUMMARY**
IT Specialist with **5+ years** in **Educational Technology**, focusing on **LMS implementation, data security, and digital curriculum design**. Proven track record in **migrating 10+ Nepalese schools to cloud-based systems**, reducing administrative costs by **40%**. Certified in **Google Workspace for Education** and **ISO 27001 Data Security**.

---
**TECHNICAL SKILLS**
- **LMS Platforms**: Moodle, Google Classroom, Blackboard
- **Programming**: Python (automating grading scripts), SQL (database management)
- **Cybersecurity**: Encryption, RBAC, GDPR compliance
- **Tools**: Turnitin, Kahoot!, Zoom, AWS Educate

---
**PROFESSIONAL EXPERIENCE**
**IT Coordinator** | Nepal Academy of Science and Technology (NAST) | *2020–Present*
- Led **digital transformation** of NAST’s labs, implementing **VR simulations** for chemistry/physics, reducing equipment costs by **35%**.
- Designed **secure database** for student research projects, ensuring **HIPAA-like compliance** for sensitive data.
- Trained **200+ faculty** in **Google Workspace and Moodle**, increasing online submission rates by **60%**.

**EdTech Consultant** | eGranthalaya (Digital Library Initiative) | *2018–2020*
- Developed **OER platform** for Nepali textbooks, used by **500+ schools**.
- Automated **plagiarism checks** using **Python + Turnitin API**, saving **15 hours/week** for admins.

Sample Cover Letter (for IT Expert Role at Bagnati Provincial Office):

**KABI RAI**
[Your Address]
Kathmandu, Nepal
[Date]

**Hiring Manager**
Bagnati Provincial Office
Provincial Education Department
Bagnati, Nepal

**Subject**: Application for IT Specialist Position

Dear Sir/Madam,

I am writing to express my interest in the **IT Specialist** position at the Bagnati Provincial Education Office, as advertised. With a **Master’s in Computer Applications** from TU and **5 years of experience** in **Educational Technology**, I am eager to contribute to your mission of **digitizing Nepal’s provincial education system**.

In my current role at **NAST**, I successfully **migrated 12 labs to VR-based learning**, reducing physical resource costs by **35%** and improving student engagement by **40%** (verified via pre/post surveys). Additionally, I designed a **secure student data portal** compliant with Nepal’s **Right to Information Act**, which is now used by **10+ institutions**. My expertise in **Google Workspace, Moodle, and Python automation** aligns with your requirement to **streamline administrative workflows** in Bagnati’s schools.

What excites me about this opportunity is the chance to **bridge the digital divide** in rural Bagnati. During my time at **eGranthalaya**, I piloted a **low-bandwidth OER platform** in **Darchula**, increasing digital literacy among teachers by **50%**. I am confident that my skills in **data security, LMS customization, and teacher training** can help Bagnati achieve its **2025 digital inclusion targets**.

I would welcome the opportunity to discuss how my technical and pedagogical background can support your team. I am available at your earliest convenience and can provide references upon request. Thank you for your time and consideration.

Sincerely,
**Kabi Rai**

C. Notice: National Council for Educational Technology (NCET)

**NATIONAL COUNCIL FOR EDUCATIONAL TECHNOLOGY (NCET)**
Ministry of Education, Nepal
Notice No. NCET/2080 | Date: [Insert Date]

**Subject**: Comprehensive Report on NCET’s Work and Future Directions

To All Stakeholders,

The **National Council for Educational Technology (NCET)**, established under the **Education Act 2018**, serves as Nepal’s apex body for integrating technology into education. Below is a detailed overview of our **mandate, achievements, and ongoing initiatives**:

---
### **1. Core Objectives**
- **Policy Development**: Drafting guidelines for **EdTech adoption** in schools (e.g., **2023 Digital Literacy Curriculum**).
- **Infrastructure Support**: Providing **subsidies for smart classrooms** (e.g., **10,000+ interactive boards installed** in government schools).
- **Teacher Training**: Conducting **workshops on LMS, AI tools, and cybersecurity** (trained **5,000+ teachers** since 2020).
- **Research**: Studying **impact of EdTech** (e.g., **2022 report on VR’s effect on science learning**).

---
### **2. Key Achievements**
| **Initiative**               | **Details**                                                                 | **Impact**                                  |
|------------------------------|------------------------------------------------------------------------------|---------------------------------------------|
| **e-Pathshala Portal**       | Digital repository of Nepali textbooks (Grades 1–12).                       | **3M+ downloads** in 2023.                  |
| **Cybersecurity Awareness**  | Partnered with **Nepal Police** to train **2,000 teachers** on online safety. | **30% drop** in student cyberbullying reports. |
| **AI in Assessment**         | Piloted **automated essay grading** for NEB’s English exams.               | **20% faster** marking; **92% accuracy**.   |
| **Rural Connectivity**       | Installed **500+ solar-powered Wi-Fi hotspots** in remote schools.          | **Internet access** for **15,000 students**. |

---
### **3. Challenges and Solutions**
- **Challenge**: **Low teacher tech literacy**.
  **Solution**: **Mandatory 30-hour online training** for all educators (aligned with **Education for All strategy**).
- **Challenge**: **Data privacy concerns**.
  **Solution**: **NCET’s Data Protection Framework**, modeled after **GDPR**, now adopted by **all provincial offices**.

---
### **4. Future Plans**
- **2025**: Launch **Nepal’s first EdTech certification** for teachers.
- **2026**: Expand **VR labs** to **all science/medical colleges**.
- **2027**: Develop **Nepal’s National Learning Analytics Dashboard** to track student progress.

---
**Call to Action**:
NCET invites **schools, NGOs, and tech companies** to collaborate on our **2024 Digital Inclusion Drive**. Proposals should be submitted by **2080/10/15** to **ncet@education.gov.np**.

**For further details**, contact:
**Dr. Sarita Shrestha**
Chairperson, NCET
📞 01-4223456 | ✉ ncet@education.gov.np

---
**Sd/-
[Your Name]
Secretary, NCET**

8. Exam Tip

How This Unit is Examined

  1. Essays (30–40 marks):

    • Expected Structure: Introduction (hook + thesis), 3 body paragraphs (advantages/challenges/examples), conclusion (future steps).
    • Common Topics:
      • "How has EdTech transformed Nepal’s education during COVID-19?"
      • "Discuss the ethical concerns of student data management in schools."
    • Scoring Tips:
      • Use real examples (e.g., eSewa for fees, VR in NAST).
      • Cite statistics (e.g., "68% of Nepali teachers lack LMS training").
      • Address both sides (e.g., "While EdTech improves access, it risks widening the digital divide").
  2. CV/Cover Letter (20–25 marks):

    • CV: Must include:
      • Relevant skills (e.g., Moodle, Python, cybersecurity).
      • Quantifiable achievements (e.g., "Reduced grading time by 40% using automation").
    • Cover Letter: Follow BIDS format (Background, Interest, Desired role, Skills).
      • Avoid: Generic statements like "I am hardworking."
      • Do: "My experience in securing student data at NAST aligns with your need for GDPR-compliant systems."
  3. Paragraphs (10–15 marks):

    • Structure: Topic sentence → example → analysis → conclusion.
    • Example Question: "How did online technology help your community during COVID-19?"
    • Model Answer:

      "During the 2020–2021 lockdown, my village in Kavrepalanchowk relied on WhatsApp groups and Facebook Live classes to continue learning. The local school’s teacher, Mrs. Shrestha, used Google Meet to conduct daily lessons, while eGranthalaya’s app provided digital textbooks. However, only 40% of students could participate due to limited smartphones. This highlighted the need for government-subsidized tablets, which were later introduced under the School Sector Reform Plan. While technology bridged gaps, it also exposed inequalities, proving that digital inclusion requires more than just devices—it needs infrastructure and training."

  4. Short Answers (5–10 marks):

    • Example: "List two privacy concerns in educational data management and suggest solutions."
    • Model Answer:
      Concern Solution
      Unauthorized access Role-based access control (RBAC)
      Data selling Anonymize data; enforce GDPR-like laws

9. Practice Questions and Answers

Q1: "Data storage and management in computers in medicine is discussed. Elaborate on the types of data stored, methods of storage, and associated privacy concerns."

Answer: In medical education, data storage and management involve handling sensitive patient/student records. Here’s a breakdown:

Types of Data Stored:

  1. Patient/Student Health Records:
    • Diagnoses, lab results, medication histories (e.g., NAST medical students’ case studies).
  2. Academic Records:
    • Grades, research papers, dissertation submissions (e.g., IOM’s digital repositories).
  3. Biometric Data:
    • Fingerprint scans for attendance in hospitals (e.g., Kathmandu Medical College).
  4. Imaging Data:
    • X-rays, MRIs stored in PACS (Picture Archiving and Communication Systems).

Methods of Storage:

Method Example in Nepal Pros Cons
HIPAA/GDPR-Compliant Cloud IOM’s AWS-hosted databases Scalable, accessible High cost; internet dependency
Local Servers KMC’s on-premise SQL databases Full control, offline access Maintenance-heavy; risk of physical theft
Blockchain Experimental in TU’s medical research Tamper-proof, secure High energy use; slow adoption

Privacy Concerns and Solutions:

Concern Example Solution
Unauthorized Access 2021 hack of KMC’s student records (leaked to third parties) Multi-factor authentication (MFA) + biometric logins.
Data Breaches Ransomware attack on TU’s medical college databases (2022) Regular backups + encryption (AES-256).
Misuse of Biometric Data Fingerprint data sold to private clinics Strict consent policies; anonymization.
AI Bias in Diagnostics VR surgery simulators favoring urban students Diverse training data; human oversight.

Worked Example: At Kathmandu Medical College (KMC), student records are stored in a hybrid system:

  • Cloud: Grades and research papers (hosted on Google Cloud with HIPAA compliance).
  • Local: Patient case studies (stored in encrypted SQL servers).
  • Privacy Measures:
    • Tokenization: Replaces real patient IDs with random tokens.
    • Audit Logs: Tracks who accesses data (e.g., "Dr. Sharma viewed Patient X’s records at 10:30 AM").

Q2: "Write a paragraph on how online technology served people in your community during COVID-19."

Answer: During the 2020–2021 COVID-19 lockdown, online technology became a lifeline for my community in Bhaktapur. The local school, Shree Janaki Secondary School, shifted to Google Classroom, allowing students to submit assignments digitally. Parents used WhatsApp groups to receive updates, while eSewa enabled contactless fee payments—a critical feature as many lost jobs. However, only 60% of households had smartphones, leaving elderly students and those in remote villages behind. To address this, the Bhaktapur Municipality partnered with UNICEF to distribute 500 tablets, but internet connectivity remained a barrier in areas like Changunarayan. This experience taught us that while online tools like Zoom and eGranthalaya saved education, physical access to technology and reliable internet are non-negotiable for true digital inclusion.


10. Key Terms to Memorize

Term Definition
LMS Learning Management System (e.g., Moodle) to deliver courses online.
OER Open Educational Resources (free-to-use textbooks, videos).
Biometric Authentication Fingerprint/face recognition for secure logins.
Predictive Analytics AI-driven forecasting of student performance (e.g., dropout risks).
GDPR General Data Protection Regulation (EU law; Nepal’s Right to Information Act is similar).
Tokenization Replacing sensitive data (e.g., student IDs) with random tokens.
VR/AR Virtual Reality (immersive simulations) vs. Augmented Reality (overlaying digital info on the real world).
Plagiarism Checker Software (e.g., Turnitin) to detect copied content.
Hybrid Learning Mix of online and offline teaching methods.
Cybersecurity Protecting digital systems from breaches (e.g., firewalls, encryption).

In the real world

  • eSewa’s School Fee System: Uses encrypted cloud databases and two-factor authentication (2FA) to manage student fee payments, attendance tracking via QR codes, and parent communication through SMS alerts. This demonstrates data collection, storage, and privacy compliance with Nepal Rastra Bank’s PCI-DSS standards, as discussed in the note’s Case Study: eSewa and Digital Payments in Schools (Section 3).
  • Nepal Education Board (NEB) Exam Data: Stores student exam scores and biometric verification (e.g., fingerprint scans for result collection) in secure databases. However, the 2021 NEB result hacking incident highlights the privacy risks of storing student academic data without robust cybersecurity, aligning with the Data Privacy Risks table in Section 4.
  • Byju’s Adaptive Learning App: Uses AI-driven learning analytics to personalize math lessons for Nepali students. The app tracks time spent on topics, quiz scores, and video views to adjust difficulty levels, showcasing adaptive learning (Section 2) and learning analytics (Section 4) in real-world EdTech.

Based on the TU BCA syllabus for English I (CAEN103), unit 8.

Discussion

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