
sen. b
Learning Designer | Computer Science Educator | Program & Course Coordinator
About
I am a Learning and Instructional Designer and Computer Science educator with 15+ years of international experience across higher education, K-12 STEM education, course development and academic coordination.
My work combines practical teaching experience with instructional design, curriculum development, assessment, student support and digital learning. I design scenario-based and interactive learning experiences using tools such as Articulate Rise 360, Storyline, H5P/Lumi, Genially and Canva.I also bring extensive experience in course and program coordination, learner mentoring and academic operations — giving me a practical understanding of how learning solutions work beyond the content itself.
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Featured Projects
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Reducing Student Dropout Through Early Intervention
Educational Management | Microlearning | Canva & Storyline | Details | Working Dashboard PrototypeReducing Student Dropout: An Early-Intervention Framework is a scenario-based eLearning course designed for university faculty, academic coordinators, student-success teams and other staff involved in student support.
The course focuses on a practical question:
How can educators recognise early warning signals and respond before student disengagement becomes more difficult to reverse?Instructional Strategies
@ Scenario-Based Learning
@ Case-Based Decision Making
@ Progressive Learning / Scaffolding
@ Interactive Learning
@ Immediate Feedback
@ Authentic Simulation=========================================
Understanding Software Architecture Through Analogies
Microlearning | Software Engineering | Rise 360 | DetailsUnderstanding Software Architecture Through Analogies is a short, visually supported microlearning course designed to introduce students to the fundamental concept of software architecture.Instructional Strategies
@ Short learning segments
@ Clear visual hierarchy
@ Responsive presentation
@ Consistent typography and layout
@ Minimal cognitive overload
Visual explanations
@ Microlearning-oriented content structure=====================================
Education: New Faculty Orientation
Faculty Training | Microlearning | Rise 360 | StoryboardAudience: New university faculty / lecturers entering their first semester
Level: Beginner / early-career faculty
Course format: Interactive e-learning in Rise 360
Module purpose: Introduce the learner to the broader responsibilities of a university educator and the people, processes and technology that support them.ADDIE Applied
Analysis: New lecturers need practical guidance during their first semester.
Design: 5-module orientation with scenario-based activities.
Development: Rise 360 + Canva visuals + interactions.
Implementation: Self-paced online orientation.
Evaluation: Knowledge checks + final scenario assessment.=====================================
Education: Assessment and Evaluation Essentials
Education | Teacher Training | Rise 360 | DetailsThis course empowers newly appointed teachers to confidently design, select, and interpret a wide range of assessment and evaluation strategies.Instructional strategies::
@ Scenario-Based Learning
@ Storytelling
@ Interactive Decision-Making
@ Knowledge Checks
@ Reflective Learning
@ Workplace Simulation
@ Microlearning=====================================
Virtualization & Cloud - Getting Started
Undergraduate | Mini-course | Rise 360 | DetailsThe course takes learners from the fundamentals of virtual machines and hypervisors through virtualization implementation and resource management, before connecting these concepts to private clouds and cloud computing.Instructional Strategies
@ Scaffolded Learning
@ Concept-to-Application Approach
@ Chunking of Complex Concepts
@ Active Learning
@ Scenario-Based Learning
@ Formative Assessment
@ Retrieval Practice
@ Multimedia Learning
@ Progressive Reinforcement
@ Summative Assessment=====================================
Chromosome and Gene
Science Lesson | K-12 Education | Canva | DetailsA visually engaging digital learning module designed to introduce secondary-level learners to the fundamental concepts of chromosomes, genes, DNA, and their relationship to heredity.Instructional strategies:
@ Educational illustrations
@ Diagrams
@ Slide-based visual storytelling
@ Text animation and transitions
@ Interactive Learning
@ Quizzes and Assessments=====================================
Project Risk Management
Micro-course | Management | Storyline 360 | DetailsThe course introduces learners to the fundamentals of project risk management and enables them to identify, assess, prioritize, and respond appropriately to common project risks.Instructional Strategies:
@ Microlearning
@ Scenario-Based Learning
@ Active Learning
@ Retrieval Practice
@ Formative Assessment
@ Summative Assessment
@ Scaffolding=====================================
Python - Data Types & Variables
Technical Training | Higher Education | Lumi-H5P | DetailsAn interactive introductory learning module designed to help beginners understand two of the most fundamental concepts in Python programming: variables and data types.Instructional strategies:
@ Interactive presentation
@ Text and visual content
@ Knowledge checks
@ Question-based activities
@ Immediate feedback
@ Progressive content presentation
@ Self-paced learning=====================================
Exploring Cells
Science Lesson | K-12 Education | Canva + Lumi | DetailsAn interactive video-based learning module designed to help secondary-level learners understand the structure and functions of cells and the roles played by their major organelles.Instructional strategies:
@ Educational illustrations
@ Cell diagrams
@ Animated visuals
@ Voice-over narration
@ On-screen text
@ Video transitions
@ Interactive questions
@ Immediate feedback=====================================
Deadlock in Operating System
Micro-course | Higher Education | Rise 360 | DetailsA 20 - 25 minute interactive course to help undergraduate computing students understand deadlock prevention, avoidance, and the Banker's Algorithm through progressively scaffolded explanations, practice activities, and a final application-based assessment.Instructional strategies
@ Course architecture
@ 3-module structure
@ Technical subject-matter
@ expertise
@ Interactive learning
@ Knowledge checks
@ Quizzes
@ Final assessment
@ Algorithmic/problem-solving instruction=====================================
The USB Trap
Microlearning | Training | Rise 360 | DetailsInstructional strategies:
@ Scenario-based microlearning
@ Workplace decision making
@ Responsive e-learning=====================================
WORKPLACE COMMUNICATION
Microlearning | Soft Skills | Genially | DetailsThis project demonstrates corporate and workplace learning experiences, particularly in the areas of communication, leadership, employee development, and soft skills.Instructional strategies::
@ Scenario-Based Learning
@ Storytelling
@ Interactive Decision-Making
@ Knowledge Checks
@ Reflective Learning
@ Workplace Simulation
@ Microlearning=====================================
More Projects
# Introduction to Python Data Structure
@ Details
data Analytics
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Project #01Employee Attrition - Diagnostic Analysis
Diagnostic analysis of patterns associated with employee attrition using Tableau.Dashboard 1 — Overview
Department and job-role patterns
→ View Interactive Dashboard #1Dashboard 2 — Diagnostic Factors
Job satisfaction, overtime and their interaction
→ View Interactive Dashboard #2Dashboard 3 — Workforce Patterns
Company tenure and current-role tenure
→ View Interactive Dashboard #3Analysis Report
A detailed account of my diagnostic approach, findings, rejected hypotheses and limitations.
→ Download Analysis Report (PDF)Dataset: IBM HR Analytics Employee Attrition & Performance (fictional)
Source: Kaggle
Tool: Tableau*********************************************************
Project #02Student Persistence & Academic Success
Exploring academic and socioeconomic patterns associated with student outcomesA descriptive learning-analytics project examining 4,424 student records to identify patterns associated with graduation, continued enrolment, and dropout.
The analysis combines academic progression, demographic, financial, and administrative indicators to explore which factors show meaningful differences across student outcomes.Dataset: 4,424 students | Analysis: Descriptive Analytics | Tools: Google Sheets · Looker StudioData Source
Predict Students' Dropout and Academic Success
UCI Machine Learning Repository
The analysis, visualisations and interpretations presented in this project are my own.The Analytical Question
Which student characteristics and early indicators show the clearest differences between students who graduate, remain enrolled, or drop out?Key FindingsWatch Here
Note: The voiceover in this walkthrough is AI-generated; the dashboard, analysis, project work and narration script are my own.Try it yourself*********************************************************Project #03Higher Education Mathematics: Learning Performance Dashboard
This project explores student performance in higher-education mathematics by examining response accuracy across question difficulty, topics, subtopics, countries and individual student response patterns. The interactive dashboard allows users to investigate these dimensions and identify areas that warrant further attention on their own.Initial observations:
- Overall response success was 53.17% across 9,546 responses.
- Performance varied across mathematical topics and subtopics.
- Basic and advanced questions showed different performance patterns.
- Student-level response volume and success rates varied considerably.
- Relationship between student country and question difficulty level in terms of performance.These observations provide starting points for further investigation rather than conclusions about student ability.Tools: Power BI | Power Query | DAX | Data Analysis | Dashboard DesignPortfolio walkthrough: Watch the 4-minute narrated dashboard walkthroughWatch Here
Note: The voiceover in this walkthrough is AI-generated; the dashboard, analysis, project work and narration script are my own.Dataset: MathE - Dataset for Assessing Mathematics Learning in Higher Education
Source: UCI Machine Learning Repository
Records analysed: 9,546 student-question responses from 372 students
Data grain: Each record represents one student's response to one mathematics question.
Data SourceKey skills demonstrated
@ Data preparation and transformation
@ Analytical measures using DAX
@ Interactive dashboard design
@ Student-performance analysis
@ Educational interpretation of data
experience
## Learning Designer & Instructor - Elite Edge Smart Hub@ Learning experience design
@ Educational Consultant
@ Personalized learning-needs analysis & resolution
@ Course planning and development
@ Digital/interactive learning resources
@ Assessment and knowledge checks
@ AI-enhanced learning
@ Program coordination
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## Lecturer & Course Coordinator - FPT Intl. University, Vietnam@ Course design and delivery
@ Learning outcomes and assessment
@ Student mentoring
@ International learner support
@ Academic quality and coordination
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## Lecturer / BIS & E-Commerce - RMIT Intl. University, Vietnam / Australia@ Undergraduate/diploma learning
@ Learning activities and assessment
@ Technology-enhanced teaching
@ International student engagement
## Program Coordinator / Lecturer - Melbourne Polytechnic Programs, China / Australia@ Curriculum implementation
@ Program coordination
@ Academic administration
@ Stakeholder coordination
@ Diploma-level IT learning
@ Transnational academic delivery
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## STEM Instructor & Learning Designer (K-12) — Stem House Education, Vietnam@ Computer Science learning
@ Python/Data Analysis
@ Learning design (K-12)
@ STEM activity design (K-12)
@ Computational thinking
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## Technology & Project Experience (client facing role)@ Software development
@ IT consulting
@ Project leadership
@ Requirements analysis
@ Client/stakeholder communication
skills
## Instructional Design & Learning Development@ Instructional Design & Learning Experience Design
@ Course & Curriculum Development
@ Storyboarding & Interactive Learning Design
@ Scenario-Based & Case-Based Learning
@ Assessment & Learning Activity Design
@ ADDIE, Bloom’s Taxonomy & Outcome-Based Education (OBE)
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## Education & Academic Management@ Course & Program Coordination
@ Academic Administration & Program Delivery
@ Student Support, Mentoring & Early Intervention
@ Faculty Development & New Faculty Orientation
@ Learner Engagement & Retention
@ Quality Improvement & Continuous Improvement
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## Learning Technologies@ Articulate Rise 360 & Storyline
@ Moodle, Canvas & Blackboard
@ H5P / Lumi & Genially
@ Canva & Microsoft/Google Workspace
@ AI-Assisted Learning & Content Development
## Data & Digital Skills@ Python & Jupyter
@ Power BI & Tableau
@ Excel & Data Analysis
@ GitHub & GitHub Pages
@ C, C++, JAVA, Javascript, JSON, .Net
@ RDBMS, SQL, MySQL, MongoDB
@ Frontend & Backend Architecture
@ Software Project Management, Agile and Scrum
@ Software Engineering
@ Agentic AI with RAG
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## Teaching & Training@ Computer Science & IT Education
@ Technical Training
@ K-12 STEM Education
@ Higher Education (undergraduates)
@ Adult Learning
@ International - Multicultural Learners
@ Academic Mentoring
@ Career Counselling
@ Cross-Cultural Communication
@ Spoken English & Communication Skills
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Contact
For project related queries please send an email or WhatsApp message.
Kolkata, West Bengal, INDIA
+91 9038600927 (WhatsApp)
[email protected]