Thursday, January 16, 2025

Tagore and Behavioural Economics

Rabindranath Tagore's philosophy and Behavioral Economics may seem like unrelated fields, but they share some interesting connections. Here are a few possible links:

Tagore's Philosophy
1. Humanism: Tagore's philosophy emphasizes the importance of human emotions, experiences, and relationships. Behavioral Economics also focuses on understanding human behavior and decision-making.
2. Holism: Tagore believed in the interconnectedness of all things. Behavioral Economics recognizes that human behavior is influenced by various factors, including social, emotional, and environmental contexts.
3. Intuition and Rationality: Tagore valued the role of intuition in human decision-making. Behavioral Economics also acknowledges the interplay between intuitive and rational thinking in shaping human behavior.

Behavioral Economics Principles
1. Loss Aversion: Tagore's concept of "the fear of loss" is similar to the idea of loss aversion in Behavioral Economics, which states that people prefer to avoid losses rather than acquire gains.
2. Framing Effects: Tagore's emphasis on the importance of perspective and context is reflected in the Behavioral Economics concept of framing effects, which shows how the way information is presented influences human decisions.
3. Social Influence: Tagore's philosophy highlights the significance of social relationships and community. Behavioral Economics also recognizes the power of social influence in shaping human behavior, including conformity, social norms, and peer effects.

Applications and Implications
1. Public Policy: Tagore's philosophy and Behavioral Economics insights can inform public policy design, taking into account human behavior, social context, and emotional factors.
2. Marketing and Consumer Behavior: Understanding the intersection of Tagore's philosophy and Behavioral Economics can help marketers develop more effective strategies that appeal to human emotions, values, and social influences.
3. Personal Development and Well-being: The combined perspectives of Tagore's philosophy and Behavioral Economics can offer insights into human well-being, happiness, and personal growth, highlighting the importance of emotional intelligence, self-awareness, and social connections.

By exploring the connections between Rabindranath Tagore's philosophy and Behavioral Economics, we can gain a deeper understanding of human behavior, decision-making, and well-being.

Wednesday, January 8, 2025

Boiled food and Behavioural Economics

### My Cooking Project

**Background:** Fried foods are not allowed.  

**Objective:** Eat boiled food.  

**Method:**  
I chopped all the vegetables and mixed them well with turmeric, cumin powder, and salt, along with a small amount of oil. I let it sit for 5 minutes. Then, I poured two cups of water into a kettle, added the vegetables and noodles, and turned on the switch. Finally, I served it hot.  

**Result:** Oh, so tasty!  

### How Cooking Vegetables in an Electric Kettle Relates to Behavioral Economics  

Cooking vegetables in an electric kettle can be linked to several principles in **behavioral economics**, particularly those that address decision-making, habits, and health-related behaviors. Below are some relevant theories and concepts:  

---

### **1. Nudge Theory**  
**Concept:** Nudge theory, proposed by Richard Thaler and Cass Sunstein, suggests that subtle changes in the environment can influence people’s behavior without restricting their choices.  
**Application:**  
- Choosing to cook vegetables in an electric kettle instead of frying them is a "nudge" towards healthier eating. The ease, speed, and simplicity of this method make it more appealing, reducing the friction of making a healthier choice.  
- Using minimal oil and boiling instead of frying aligns with the principle of nudging towards a low-calorie, nutritious diet without banning or drastically changing eating habits.  

---

### **2. Self-Control and Present Bias**  
**Concept:** Present bias refers to people's tendency to prioritize immediate gratification over long-term benefits, often leading to unhealthy choices like fried food.  
**Application:**  
- Cooking vegetables in an electric kettle is a way to address present bias. It simplifies the process and makes healthy eating easier and quicker, reducing the temptation to default to less healthy fried options that may seem more immediately satisfying.  
- By making boiled food tasty and convenient, this method encourages individuals to maintain self-control and align their immediate actions with long-term health goals.  

---

### **3. Habit Formation**  
**Concept:** Behavioral economics emphasizes the role of small, consistent actions in forming habits that influence long-term behavior.  
**Application:**  
- Regularly preparing vegetables using an electric kettle can become a habit, reinforcing healthier cooking practices. The low effort required to use a kettle helps sustain this behavior over time.  
- Once the habit is established, the cognitive effort required to decide between healthy and unhealthy options decreases, as the default choice becomes healthier.  

---

### **4. Loss Aversion and Cognitive Load**  
**Concept:** Loss aversion refers to people's tendency to avoid losses more strongly than they seek gains. Cognitive load theory suggests that decision-making becomes harder when people are overwhelmed by too many choices or steps.  
**Application:**  
- The perception of "loss" (e.g., sacrificing taste by not frying) is minimized when boiled vegetables are made tasty through spices and seasoning.  
- By reducing the cognitive load involved in cooking (fewer steps, less equipment, and minimal monitoring), the method encourages individuals to stick to healthy eating without feeling burdened or overwhelmed.  

---

### **5. Cost-Benefit Analysis**  
**Concept:** Behavioral economics posits that people weigh costs and benefits, often subconsciously, when making decisions.  
**Application:**  
- Cooking in an electric kettle is cost-effective (less oil, minimal equipment, and reduced electricity usage) and time-saving, making it a high-benefit, low-cost alternative to traditional cooking methods.  
- The health benefits (lower cholesterol, fewer calories) outweigh the perceived "cost" of not eating fried food, making it easier for individuals to adopt healthier behaviors.  

---

### **6. Status Quo Bias**  
**Concept:** People often stick to familiar habits (status quo) even when better alternatives are available.  
**Application:**  
- Cooking in an electric kettle disrupts the status quo of frying food by introducing an easy, convenient alternative. It helps overcome inertia by providing a healthier cooking method that is simple enough to become a new status quo.  

---

### **Conclusion**  
This simple cooking technique demonstrates the practical application of behavioral economics by addressing biases, promoting habit formation, and nudging individuals towards healthier choices. It reduces the cognitive and physical effort needed to adopt healthy behaviors, aligning individual decisions with long-term health goals.

Foundation of Machine learning

Syllabus for Faculty Development Program: Foundations of machine learning in psychology  
Duration: 3 Months
Fees: 6k
Eligibility criteria:Working on research projects using psychological instruments , Basic understanding of psychology. 
Eligibility: Post graduation in psychology and social science related fields.
Learning Outcomes: students will learn principles of machine learning by the end of this course,  will be proficient in using SPSS to perform Supervised and unsupervised machine learning, interpret and report the result, develop skills in visualizing and presenting findings. 
Total marks: 100
Grading Criteria: 
A Excellent: 85 percent and above
B Good:72 to 84 percent 
C Satisfactory:50 to 69 percent 
D Needs improvement: Below 50 percent 

Classes per Week: 3 (1 Hour Each)
Target Audience: Faculty members in psychology and related disciplines
Prerequisites: Basic knowledge of psychology and Should have SPSS in laptop.

Enrollment Requirement: Entrance Examination for course: Interested candidates have to to register by paying 100 Rs for entrance exam. Candidates will be selected based upon the entrance exam result.

Pedagogy: Flipped classroom model, students will be given learning material before the class, hands on experience in class, work at home for assignments.

Foundations of machine learning in psychology 
Unit 1: Introduction to machine learning
Unit 2: Data Preparation for Machine learning with SPSS
Unit 3: Supervised learning
Unit 4: Unsupervised learning 
Unit 5: Project (Weeks 1–3)

Unit 1: Introduction to machine learning

1.1 Definition, types  of Machine Learning
1.2 Key concepts and their  Psychological Applications.
1.3. Differences between traditional statistics and machine learning.

Unit 2: Data Preparation for Machine learning with SPSS

2.1 Variable Transformation: Recoding, Dummy Variable and Standardization 
2.2 Splitting Data Sets: Training and Testing data, Handling missing data,Creating new variables.
2.3 Introduction to exploratory data analysis(EDA) and Data cleaning.

Unit 3: Supervised learning: Logistic Regression 

3.1 Fundamentals of Logistic Regression: difference between linear and logistic regression and applications of psychology.
3.2 Key concepts of Logistic Regression
3.3 Logistic Regression Using SPSS

.
Unit 4: Unsupervised Learning: K-Means Clustering
4.1 Overview of unsupervised learning and applications, Mathematical Foundations: K-Means algorithm, Distance Metrics.
4.2 K-Means Clustering in SPSS: Setting up the data and running K-Means clustering, output interpretation.
4.3 Evaluating and interpreting K-Means clustering result 

Unit 5: Project
5.1. Project proposal writing 
5.2. Project on Logistic Regression 
53. Project K-Means clustering 

Assessment Structure
Weekly Assignments: To reinforce theoretical and practical knowledge.30 percent, per paper 6 marks 
Final exam : 40 percent  To test understanding of core concepts.
Final Project: 30 percent for  Comprehensive project showcasing the integration of machine learning techniques in psychology.

This structured syllabus ensures systematic learning and application of machine learning techniques in psychological research. The inclusion of practical sessions, project work, and theory-driven discussions makes it ideal for faculty development.








Saturday, January 4, 2025

Machine learning by SPSS

Here’s a step-by-step example of applying Machine Learning (ML) using SPSS to classify participants into groups based on psychological data:


Example Project: Classifying Participants into Stress Levels

Objective

To use SPSS to predict whether participants fall into "High Stress" or "Low Stress" groups based on survey responses.

Dataset

Imagine you have a dataset with the following columns:

  1. Age (numerical)
  2. Hours of Sleep per Night (numerical)
  3. Number of Stressful Events in the Last Month (numerical)
  4. Self-Reported Stress Level (categorical: "High" or "Low")

Steps in SPSS

1. Load the Data

  • Open SPSS.
  • Import the dataset (e.g., in .sav or .csv format).
  • Ensure columns are labeled correctly and data is clean.

2. Data Preparation

  • Recode variables if needed: For example, ensure "High" and "Low" in the stress level column are coded as 1 and 0 for binary classification.
  • Check for missing values and handle them (e.g., replace with mean/median or exclude cases).
  • Normalize numerical variables if needed (optional).

3. Exploratory Data Analysis (EDA)

  • Use Descriptive Statistics to understand the data distribution.
  • Create Boxplots or Scatterplots to explore relationships (e.g., stress vs. sleep hours).

4. Train a Decision Tree Model

  1. Navigate to Analyze > Classify > Decision Trees.
  2. Set the dependent variable to "Stress Level" (High/Low).
  3. Set the independent variables to Age, Sleep Hours, and Stressful Events.
  4. Choose the CHAID or CART algorithm for the decision tree.
  5. Configure stopping criteria (e.g., minimum number of cases per node).
  6. Click OK to run the model.

5. Interpret the Results

  • SPSS generates a decision tree diagram showing how variables split to classify participants.
  • For example:
    • If "Stressful Events > 5," classify as "High Stress."
    • Otherwise, check "Hours of Sleep < 6" to classify as "High Stress."

6. Evaluate the Model

  • Look at the classification table to assess accuracy, sensitivity, and specificity.
  • Analyze the confusion matrix to see how well the model predicts "High" vs. "Low" stress.

7. Use the Model for Prediction

  • Apply the model to a new dataset using the Scoring Wizard in SPSS.
  • Generate predicted stress levels for new participants based on input features.

Outcome

  • Students learn to build a simple decision tree model in SPSS.
  • They interpret results and understand practical applications of machine learning in psychology.
  • Real-world application: Predicting stress levels for psychological interventions.


Thursday, January 2, 2025

Course design

RPRIT aims at the followings:
1. *Develop research skills*: Provide researchers with the necessary skills and knowledge to conduct high-quality research.
2. *Enhance research capacity*: Build the capacity of researchers to design, implement, and disseminate research findings.
3. *Foster collaboration*: Encourage collaboration among researchers from diverse backgrounds and disciplines.
4. *Promote knowledge sharing*: Facilitate the sharing of knowledge, expertise, and best practices among researchers.
5. *Support career development*: Help researchers advance their careers by providing them with the skills and knowledge needed to succeed in their field.

Some potential course topics could include:

1. *Research methodology*: Study design, data collection, data analysis, and interpretation.
2. *Statistical analysis*: Introduction to statistical software, data visualization, and statistical modeling.
3. *Academic writing*: Writing research papers, grants, and reports.
4. *Research ethics*: Ethics in research, informed consent, and data protection.
5. *Project management*: Managing research projects, timelines, and budgets.
6. *Communication skills*: Presenting research findings, creating posters, and designing visual aids.
7. *Interdisciplinary research*: Collaborating across disciplines, integrating different methodologies, and addressing complex research questions.

By offering these courses, the institute can support the development of researchers and enhance the quality of research conducted.

Tuesday, December 31, 2024

List of external faculties in 2024

1.Dr. Sumona Dutta
Assistant Professor, Singur Government General Degree College
Dr. Sumona Dutta conducted sessions on Interview Technique and Thematic Technique for the course Qualitative Research Methodology on February 8 and 15, 2024, from 8:00 PM to 10:00 PM.
She also delivered lectures on Principal Component Analysis for the course Introduction to Multivariate Data Analysis on July 17 and 22, 2024, from 7:00 PM to 8:00 PM.
2. Dr. Rita Karmakar
Associate Professor, Amity University 
Dr. Rita Karmakar conducted sessions on Case Study and Phenomenology for RPRIT's online certificate course on Qualitative Research Methodology on February 10 and 13, 2024, from 8:00 PM to 10:00 PM.
3. Dr. Sanchita Ghosh
Assistant Professor, West Bengal State University
Dr. Sanchita Ghosh conducted a Practicum on Case Study for RPRIT's online certificate course on Qualitative Research Methodology on March 12, 2024, from 8:00 PM to 10:00 PM.
4. Mrs. Mala Saha
Mind-Body-Soul Counsellor and Founder Secretary, Search Within
She Delivered a lecture on Mindfulness Meditation and Progressive Muscle Relaxation for the course Introduction to Rabindrik Psychotherapy on June 13, 2024, from 9:00 PM to 10:00 PM.

5.Dr. Rituparna Basak Dasgupta
Member of RPRIT
Dr. Rituparna Basak Dasgupta delivered a lecture on Tagore's Philosophy on Art, Music, and Literature for the course Introduction to Rabindrik Psychotherapy on July 24, 2024, from 8:30 PM to 10:00 PM.
She also visited on October 3, 2024, to deliver a lecture on Authoritarian Parenting: The Home and the World for the course Introduction to Rabindrik Psychotherapy in Parenting.
6.Dr. Ivan Das
Guest Faculty, SKBU
Delivered lectures on Binomial and Multinomial Regression for the Three-Month Online Certificate Course on Introduction to Multivariate Data Analysis using SPSS and R-Studio on August 10 and 12, 2024, from 7:00 PM to 8:00 PM.
7.Dr. Atri Sengupta
Associate Professor, Indian Institute of Management, Sambalpur 
Dr. Atri Sengupta conducted a session on Data Exploration and Preparation for RPRIT on November 22, 2024, from 7:00 PM to 9:00 PM.
Previously, Dr. Sengupta also served as a resource person for the Two-Month Online Training Course on Systematic Literature Review for Journal Publication, delivering a lecture on Meta-Analysis on September 12, 2024, from 7:00 PM to 8:00 PM.


list of you tube videos

1.https://youtu.be/WlyefC3YECg?si=JmjCFy31GD0jIcot

2.https://www.youtube.com/live/GotlffqTugE?si=zH9EWMLDXFXJIpy4
3.https://www.youtube.com/live/tgOhmeNJWi0?si=Ju4JjgIbel06eH_5

9.https://www.youtube.com/live/3GhcjfvLrOU?si=-pAC9k170BXLaTjo
11. https://www.youtube.com/live/lxMthb-Ed68?si=SUt-UJs2_R-HB0SE

13. https://www.youtube.com/live/nZ2zrVyWbD8?si=042uC0F6JRHnLVlS

14. https://www.youtube.com/live/nj6RqHSfedk?si=L5GFyHAo48gYGsfb

15. 
https://www.youtube.com/live/uchxO_IRDMs?si=IQfu7ELJemtLXKiT

16.
https://www.youtube.com/live/QD3eaO_lxBI?si=1iqHICFxRthTJsKb

18. https://www.youtube.com/live/kVutVhjyuc0?si=_Lxhs1ZrsqvYsarm

19. https://www.youtube.com/live/OIhzwyJ8-CY?si=m1fAxzAKzpgnAh_m

20. 
https://www.youtube.com/live/L7_SuS68PZ0?si=sE0C_Kfr1Sr7fcWN

21. 
https://www.youtube.com/live/gs05z7HM3ag?si=0p9l4pu1_PaT4OE_

22. 
https://www.youtube.com/live/nFgEB2Z4FpY?si=-SIxY-ZNqcm2jX7Y

24. 
https://www.youtube.com/live/2uFLD7ZCzQk?si=oSAEDGS69AZ0iGM5

25. https://www.youtube.com/live/a2xhvssLIVs?si=6tihf4lxg4DOAbPC

26. 
https://www.youtube.com/live/-D0hcsLYq-E?si=OyIc2-BuNQs7wrEl

27. 
https://www.youtube.com/live/__CVF6RdIzo?si=Qs0RHVdHSTdvB-2q

28.
https://www.youtube.com/live/jclPqosQ1mY?si=9DnerpDw0v68XK-K

29.
https://www.youtube.com/live/Y0EK1Jq3NGo?si=hDifr5V_71HQPzMs

30. https://www.youtube.com/live/8GVDkaWMkzQ?si=xCebx3MAwFtg4L2l

31. 
https://www.youtube.com/live/8iU9yoArOVA?si=RIXxE-xByke2cujn

32
https://www.youtube.com/live/PBJVFG8TMro?si=tQ8UhcUuzhgH9ZVA

33.
https://www.youtube.com/live/TBzdH_1heIE?si=kVuIab-aNLTRpidZ

34.
https://www.youtube.com/live/QoJ44JJ1eew?si=NlMGX9oy_KxPZFFh

35.
https://www.youtube.com/live/uU9YtCzFpbk?si=w2qXqsejHQEj3zy_

36.
https://www.youtube.com/live/Q9pRn_vlet0?si=Z3ygq2IjN36mn3JN

37.
https://www.youtube.com/live/aAv-wcw5Wm8?si=WxG-eNhaTzaMdzK4

38.
https://www.youtube.com/live/7TrzI8XmVAw?si=OP3ZGhBZFb9AhaJc

39
https://www.youtube.com/live/jMr4aLqhiok?si=ePMvMrHMBnvQjpUw

40
https://www.youtube.com/live/PyaWVshh56U?si=wg-CxdVcDYAOpQS4

41
https://www.youtube.com/live/2cdXO-JBpBc?si=ssuRVdMnd3k8rvi7

42.
https://www.youtube.com/live/x3rST7CQ3So?si=rLtbzTjA-eSKtVYa

43.
https://www.youtube.com/live/I_vDGzW9KTU?si=6m7QqniQ2XIGFK4t

44.
https://www.youtube.com/live/l9aq4KP6hdU?si=d09dYKOARDfMh3e0

45
https://www.youtube.com/live/egw1-6fPZdo?si=NMRshSxKcMVCm_NZ

46.
https://www.youtube.com/live/uWf4N-Kjzq8?si=3XFhR9PWVFCeJwtz

47.
https://www.youtube.com/live/RWWfgn6jf2Q?si=MaKRUZgJwIEUNb_v

48.
https://www.youtube.com/live/5LLQ1cOCZ_w?si=iMkXu1qG31kjxFWw

49.
https://www.youtube.com/live/OE7OtqSiaQE?si=8eLsQh702xc_Nr89

50.
https://www.youtube.com/live/-2eeOf6IiOM?si=BsOAZnwqUg7fY8KX

51.
https://www.youtube.com/live/Gl2JNureEHQ?si=mIDhzQx-IHIw85XA

52.
https://www.youtube.com/live/Vqv4fOjXQYo?si=HQhMdCUbpo4uDCEc

53.
https://www.youtube.com/live/RYFPptWF6Fc?si=FmVMw4CiZ34u1JdX

54.
https://www.youtube.com/live/KrrNvDHS0A0?si=ZLR1YZ0LncvrL3MH

55.
https://www.youtube.com/live/Ukow02FOfoc?si=3g5xOMvXh1oJs5fp

56.
https://www.youtube.com/live/ZBfZSN2UqP0?si=1J36WoNLbQeNa5UA

57.
https://www.youtube.com/live/ZymFNtwMvKg?si=g8hqb-qnZUJMqQmo

58.
https://www.youtube.com/live/WxIiEu1Nk_0?si=4M3ryzsosim-5rG9

59.
https://www.youtube.com/live/sCQ1WnQe8Oo?si=kY0tI_nMKhnuBcny

60.
https://www.youtube.com/live/2OclVCt-AZ0?si=tHyALIZvxLz9QZy1

61.
https://www.youtube.com/live/GLWHFs7zYq4?si=ooMH4m80l-_Zt1bY

62.
https://www.youtube.com/live/GotlffqTugE?si=XwsQM7Z2vOWs7z06

63.
https://www.youtube.com/live/1AIJDWZ_JG4?si=V2eVF5VT9der68To

64.
https://www.youtube.com/live/1nV4Jz_Akqg?si=mVB_d9YrdVYqxxKS

65.
https://www.youtube.com/live/ifQyaYvqLeU?si=UBnd2Q4gB9cyFL5e

66.
https://www.youtube.com/live/KsVO61e3CZ8?si=R4cAa8RmS7NfE4hZ

67.
https://www.youtube.com/live/uGlPjnoIpKg?si=VF_UMVaSaYeSRB44

68.
https://www.youtube.com/live/vWquzVK2Qgc?si=bQ_tLfKpKzIagewh

69.
https://www.youtube.com/live/w_YKonNa7Yc?si=1GZBW5YBguxjTPdB

73.
https://www.youtube.com/live/jKb5mg6fUhU?si=1NtizDegLwlcrDMS

75.
https://www.youtube.com/live/9UKuwQcI0HY?si=z_TaULNVIgtKMKD6

82.
https://www.youtube.com/live/Yl9UoBG_j_4?si=P8YNWRe3DFAa4BnX

84.
https://www.youtube.com/live/HiU1LAfWdlQ?si=q1YKy_u8pf9XDBSH

85.
https://www.youtube.com/live/9iJ38LOUbC4?si=DlaviDrfoyn7UDmS

86.
https://www.youtube.com/live/BeBo6egwuRY?si=UUq6C26ylLyTYtYa

87.
https://www.youtube.com/live/YakmBOAp7hk?si=4EIgXf29UZgjIR1x

80.
https://www.youtube.com/live/CzX80KxzwYA?si=uZKb0L-3kDJw1JDv


90.
https://www.youtube.com/live/OcR8vwykMBw?si=qqS5GrekzIxnIKCo

91.
https://www.youtube.com/live/Icjey0vLutQ?si=Nsh46apMjSi3lAgd

92.
https://www.youtube.com/live/hQNO8SXtWQw?si=99631j8QwnGNILsD

93.
https://www.youtube.com/live/wgNNrp7GA-o?si=nlndWqLMlIOBrhvq

94.
https://www.youtube.com/live/m-dYRGMwHLk?si=tNu_3R01ED4AckfK

96.
https://www.youtube.com/live/4RTTAwMJuGg?si=k1oYuGUxOWDRw2pM

97.
https://www.youtube.com/live/9Ih92JKve_w?si=K2aatnqWmZubRxbB

98.
https://www.youtube.com/live/9qwFtpTfcm8?si=5y-PuAK3LzMDgoXt








Wednesday, December 18, 2024

Practicum, Project and Dissertation

The terms practicum, project, and dissertation refer to different types of academic or professional work, each with distinct purposes, formats, and outcomes. Here's a breakdown of their differences:

1. Practicum

  • Definition: A practicum is a supervised practical experience in a real-world setting, designed to apply academic knowledge to practice.
  • Purpose: To gain hands-on experience and develop practical skills in a professional environment.
  • Structure: Often involves working in an organization (e.g., hospitals, schools, companies) under the guidance of a mentor or supervisor.
  • Assessment: Evaluation may include a reflective report, supervisor feedback, or a presentation on the experience.
  • Fields: Common in fields like education, social work, healthcare, and business.

2. Project

  • Definition: A project is a focused piece of work aimed at solving a specific problem or exploring a topic, often through practical or creative means.
  • Purpose: To demonstrate the ability to apply knowledge and skills to achieve a defined goal.
  • Structure: Can be individual or group-based, and often involves planning, executing, and presenting the outcomes.
  • Assessment: Evaluated based on deliverables such as a report, prototype, presentation, or portfolio.
  • Fields: Widely used across disciplines, including engineering, IT, management, and the arts.

3. Dissertation

  • Definition: A dissertation is a formal academic document that presents original research on a specific topic.
  • Purpose: To contribute new knowledge to the field through systematic investigation.
  • Structure: Typically includes an introduction, literature review, methodology, results, discussion, and conclusion.
  • Assessment: Assessed through a written document and often an oral defense before a committee.
  • Fields: Common in advanced degrees (master’s, Ph.D.) across disciplines.

Key Differences

Aspect Practicum Project Dissertation
Focus Practical experience Problem-solving/creation Original research
Setting Real-world workplace Varied (labs, studios, etc.) Academic/research environment
Duration Short-term (weeks/months) Moderate Long-term (months/years)
Output Reflective report/presentation Deliverables (e.g., product) Research document
Assessment Basis Skills and application Outcome and implementation Academic rigor and originality

Each serves a unique role in academic and professional development, depending on the program's goals and requirements.

Tuesday, December 17, 2024

list of technical reports

1. Human Well-Being and Quality of Life
This category focuses on individual and societal well-being, addressing life satisfaction, job satisfaction, and health-related quality of life.
1. Amruta Arabhavi (Mumbai) - Quality of Life in the Elderly: Exploring the Effects of Age, Sex, and Education.
2. Sara Chavan (Mumbai) - A Study on Indian Psychologists’ Quality of Life.
3. Dr. Seema R Sarraf (Lucknow) - Job Satisfaction in School Teachers.
4. Seema Rani Sarraf (Lucknow) - Job Satisfaction and Organizational Health Among School Teachers.
5. Nishu Chandna (Lucknow) - Impact of Online Classes on Psychological Well-Being of Teachers During Online Teaching in the Covid-19 Era.
6. Subrata Dalal (Kolkata) - Work Family Conflict Among Nurses.
7. Poonam Singh (Bareilly) - A Study on Altruism and Happiness in Young Adults.
8. Dr. Kakoli Das (Assam) - Obstacles Faced by Caregivers: An Interview Analysis.
9. Shrestha Ash (Kolkata) - Understanding the Dynamics of Caregiver: An Interview Analysis.
10. Kabita Sahoo (Kolkata) - Perception and Experience of Quality Care of Post-Caesarean Mothers: An Interview Analysis.
11. Subrata Dalal (Kolkata) - Psychological Impact of Vision Impairment Among Diabetics: An Interview Analysis.
________________________________________
2. Values, Emotions, and Environmental Dynamics
Reports examining values, emotional control, and the impact of environmental knowledge and attitudes on behavior.
12. Dhanushi Mayank Sharma (Ahmedabad) - Preference to Emotional Control Values of College Teachers.
13. Prabhnain Kaur (Noida) - Exploring Systematic Values Among College Teachers.
14. Ankita Dey Tapader (Kolkata) - Assessment of Self Awakening Value.
15. Kabita Sahoo (Kolkata) - Assessment of Fearlessness Value.
16. Lalrinawmi Rawite (Mizoram) - Assessment of Cleanliness Value.
17. Monalisa Pattanayak (Odisha) - Assessment of Work-Family Compatibility (WFC) Value.
18. Rudrani Mitra (Kolkata) - Assessment of Self Understanding Value.
19. Subrata Dalal (Kolkata) - Assessment of Resolute Value.
20. Sreyashi Sen (Kolkata) - Assessment of Resolute Value.
21. Sophie Lalrinnungi (Kolkata) - Assessment of Doubtless Value.
22. Anjali Maurya (Bangalore) - A Comparative Study on the Relationship of Pro-Environmental Attitude, Pro-Environmental Behaviour and Nature-Relatedness among Students Studying Environmental and Non-Environmental Disciplines.
23. Dr. Nimrat Singh (Ahmedabad) - A Comparative Study on the Relationship of Pro-Environmental Attitude, Pro-Environmental Behaviour and Nature-Relatedness among Students Studying Environmental and Non-Environmental Disciplines.
24. Monalisa Pattanayak (Odisha) - Impact of Environmental Knowledge on Pro-environmental Attitude: A Study Conducted Among the College Students.
________________________________________
3. Cultural and Narrative Psychology
Studies analyzing cultural narratives and psychological themes in literature and self-esteem.
25. Monalisa Pattanayak (Odisha) - The Theme of Humanity in ‘Chandalika’: A Narrative Analysis.
26. Swati Punia (Delhi) - ‘Chandalika’: A Narrative Analysis.
27. Sreelakshmi K (Kerala) - The Theme of Humanity in ‘Chandalika’: A Narrative Analysis.
28. Dalia Das (Kolkata) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
29. Gargi Datta (USA) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
30. Oindrila Das (Kolkata) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
31. Papiya Banerjee (Kolkata) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
32. Sudeshna Das Adhikari (Kolkata) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
33. Chandraie Sarkhel (Kolkata) - Analyzing the Self-Esteem in Rabindranath Tagore’s “Chandalika.”
________________________________________
4. Psychometric and Multivariate Data Analysis
Reports leveraging statistical tools to analyze career data, values, and psychometric frameworks.
34. Abhishek Biswas (Kolkata) - Analysis of Career Assessment Data.
35. Trishna Dey (Kolkata) - Analysis of Career Assessment Data.
36. Risha Brahma (Kolkata) - Analysis of Career Assessment Data.
37. Deepjyoti Banerjee (Kolkata) - Analysis of Career Assessment Data.
38. Arka Bhattacharya (Kolkata) - Analysis of Career Assessment Data.
39. Sourin Chatterjee (Kolkata) - Analysis of Career Assessment Data.
40. Pritish Manna (Kolkata) - Analysis of Career Assessment Data.
41. Subhadeep Manna (Kolkata) - Analysis of Career Assessment Data.
42. Jwel Mondal (Kolkata) - Analysis of Career Assessment Data.
43. Raja Sarkar (Kolkata) - Analysis of Career Assessment Data.
44. Ayan Seal (Kolkata) - Analysis of Career Assessment Data.
45. Dr. Amit Tirpude (Raipur) - Principal Component Analysis of the Rabindrik Human Value Preferences Between India and Bangladesh.
46. Fahmida Tofail (Bangladesh) - Analyzing Gender Differences in Rabindrik Values: A Multivariate Approach.
47. Kabita Sahoo (Kolkata) - Principal Component Analysis of the Rabindrik Human Value Preferences According to Age.
48. Shubham Pandey (Banaras) - Multivariate Analysis of Rabindrik Values: Exploring Gender and Nationality Differences in Resilience, Self-Regulation, and Certainty.
49. Poushali Baidya (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
50. Jayeta Bhanja (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
51. Jineya Dey (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
52. Sagnik Dutta (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
53. Sk Kabir Husan (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
54. Salini Mondal (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
55. Sridatri Kar (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
56. Anuska Pal (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
57. Doyel Paul (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
58. Madhuparna Rajak (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
59. Debanjana Roy (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
60. Afrin Saba (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
61. Sanchari Saha (Kolkata) - Study of the Principal Component Analysis of Safety Consciousness of Industrial Workers.
________________________________________
5. Systematic Reviews and Innovative Learning
Reviews summarizing methodologies and innovations in education and healthcare.
62. Dr. Amit Tirpude (Raipur) - 3D Printing in Anatomy Education: Analyzing Learning Outcomes, Regional Variability, and Skill Acquisition: A Systematic Review.
63. Dr. Dharam Singh Rathia (Raipur) - A Review of the Various Teaching Techniques and Tools to Assess the Utility of 3D Printed Anatomical Models for Learning Human Anatomy.
64. Kabita Sahoo (Kolkata) - Assessment of Determinants Related to Short Inter-Conceptional Pregnancy Among Parous Pregnant Women.
65. Dr. Amit Tirpude (Raipur) - Reading and Writing Motivation in First-year Medical Students.
66. Varsha Madhulika (Bangalore) - An Exploratory Study on Writing Motivation and Note-taking Behaviour of College Students of India.

Thursday, December 5, 2024

List of Sunday Webinars

1.https://youtu.be/WlyefC3YECg?si=JmjCFy31GD0jIcot

2.https://www.youtube.com/live/GotlffqTugE?si=zH9EWMLDXFXJIpy4
3.https://www.youtube.com/live/tgOhmeNJWi0?si=Ju4JjgIbel06eH_5





9.https://www.youtube.com/live/3GhcjfvLrOU?si=-pAC9k170BXLaTjo
11. https://www.youtube.com/live/lxMthb-Ed68?si=SUt-UJs2_R-HB0SE

13. https://www.youtube.com/live/nZ2zrVyWbD8?si=042uC0F6JRHnLVlS

14. https://www.youtube.com/live/nj6RqHSfedk?si=L5GFyHAo48gYGsfb

15. 
https://www.youtube.com/live/uchxO_IRDMs?si=IQfu7ELJemtLXKiT

16.
https://www.youtube.com/live/QD3eaO_lxBI?si=1iqHICFxRthTJsKb

18. https://www.youtube.com/live/kVutVhjyuc0?si=_Lxhs1ZrsqvYsarm

19. https://www.youtube.com/live/OIhzwyJ8-CY?si=m1fAxzAKzpgnAh_m

20. 
https://www.youtube.com/live/L7_SuS68PZ0?si=sE0C_Kfr1Sr7fcWN

21. 
https://www.youtube.com/live/gs05z7HM3ag?si=0p9l4pu1_PaT4OE_

22. 
https://www.youtube.com/live/nFgEB2Z4FpY?si=-SIxY-ZNqcm2jX7Y

24. 
https://www.youtube.com/live/2uFLD7ZCzQk?si=oSAEDGS69AZ0iGM5

25. https://www.youtube.com/live/a2xhvssLIVs?si=6tihf4lxg4DOAbPC

26. 
https://www.youtube.com/live/-D0hcsLYq-E?si=OyIc2-BuNQs7wrEl

27. 
https://www.youtube.com/live/__CVF6RdIzo?si=Qs0RHVdHSTdvB-2q

28.
https://www.youtube.com/live/jclPqosQ1mY?si=9DnerpDw0v68XK-K

29.
https://www.youtube.com/live/Y0EK1Jq3NGo?si=hDifr5V_71HQPzMs

30. https://www.youtube.com/live/8GVDkaWMkzQ?si=xCebx3MAwFtg4L2l

31. 
https://www.youtube.com/live/8iU9yoArOVA?si=RIXxE-xByke2cujn

32
https://www.youtube.com/live/PBJVFG8TMro?si=tQ8UhcUuzhgH9ZVA

33.
https://www.youtube.com/live/TBzdH_1heIE?si=kVuIab-aNLTRpidZ

34.
https://www.youtube.com/live/QoJ44JJ1eew?si=NlMGX9oy_KxPZFFh

35.
https://www.youtube.com/live/uU9YtCzFpbk?si=w2qXqsejHQEj3zy_

36.
https://www.youtube.com/live/Q9pRn_vlet0?si=Z3ygq2IjN36mn3JN

37.
https://www.youtube.com/live/aAv-wcw5Wm8?si=WxG-eNhaTzaMdzK4

38.
https://www.youtube.com/live/7TrzI8XmVAw?si=OP3ZGhBZFb9AhaJc

39
https://www.youtube.com/live/jMr4aLqhiok?si=ePMvMrHMBnvQjpUw

40
https://www.youtube.com/live/PyaWVshh56U?si=wg-CxdVcDYAOpQS4

41
https://www.youtube.com/live/2cdXO-JBpBc?si=ssuRVdMnd3k8rvi7

42.
https://www.youtube.com/live/x3rST7CQ3So?si=rLtbzTjA-eSKtVYa

43.
https://www.youtube.com/live/I_vDGzW9KTU?si=6m7QqniQ2XIGFK4t

44.
https://www.youtube.com/live/l9aq4KP6hdU?si=d09dYKOARDfMh3e0

45
https://www.youtube.com/live/egw1-6fPZdo?si=NMRshSxKcMVCm_NZ

46.
https://www.youtube.com/live/uWf4N-Kjzq8?si=3XFhR9PWVFCeJwtz

47.
https://www.youtube.com/live/RWWfgn6jf2Q?si=MaKRUZgJwIEUNb_v

48.
https://www.youtube.com/live/5LLQ1cOCZ_w?si=iMkXu1qG31kjxFWw

49.
https://www.youtube.com/live/OE7OtqSiaQE?si=8eLsQh702xc_Nr89

50.
https://www.youtube.com/live/-2eeOf6IiOM?si=BsOAZnwqUg7fY8KX

51.
https://www.youtube.com/live/Gl2JNureEHQ?si=mIDhzQx-IHIw85XA

52.
https://www.youtube.com/live/Vqv4fOjXQYo?si=HQhMdCUbpo4uDCEc

53.
https://www.youtube.com/live/RYFPptWF6Fc?si=FmVMw4CiZ34u1JdX

54.
https://www.youtube.com/live/KrrNvDHS0A0?si=ZLR1YZ0LncvrL3MH

55.
https://www.youtube.com/live/Ukow02FOfoc?si=3g5xOMvXh1oJs5fp

56.
https://www.youtube.com/live/ZBfZSN2UqP0?si=1J36WoNLbQeNa5UA

57.
https://www.youtube.com/live/ZymFNtwMvKg?si=g8hqb-qnZUJMqQmo

58.
https://www.youtube.com/live/WxIiEu1Nk_0?si=4M3ryzsosim-5rG9

59.
https://www.youtube.com/live/sCQ1WnQe8Oo?si=kY0tI_nMKhnuBcny

60.
https://www.youtube.com/live/2OclVCt-AZ0?si=tHyALIZvxLz9QZy1

61.
https://www.youtube.com/live/GLWHFs7zYq4?si=ooMH4m80l-_Zt1bY

62.
https://www.youtube.com/live/GotlffqTugE?si=XwsQM7Z2vOWs7z06

63.
https://www.youtube.com/live/1AIJDWZ_JG4?si=V2eVF5VT9der68To

64.
https://www.youtube.com/live/1nV4Jz_Akqg?si=mVB_d9YrdVYqxxKS

65.
https://www.youtube.com/live/ifQyaYvqLeU?si=UBnd2Q4gB9cyFL5e

66.
https://www.youtube.com/live/KsVO61e3CZ8?si=R4cAa8RmS7NfE4hZ

67.
https://www.youtube.com/live/uGlPjnoIpKg?si=VF_UMVaSaYeSRB44

68.
https://www.youtube.com/live/vWquzVK2Qgc?si=bQ_tLfKpKzIagewh

69.
https://www.youtube.com/live/w_YKonNa7Yc?si=1GZBW5YBguxjTPdB

73.
https://www.youtube.com/live/jKb5mg6fUhU?si=1NtizDegLwlcrDMS

75.
https://www.youtube.com/live/9UKuwQcI0HY?si=z_TaULNVIgtKMKD6

82.
https://www.youtube.com/live/Yl9UoBG_j_4?si=P8YNWRe3DFAa4BnX

84.
https://www.youtube.com/live/HiU1LAfWdlQ?si=q1YKy_u8pf9XDBSH

85.
https://www.youtube.com/live/9iJ38LOUbC4?si=DlaviDrfoyn7UDmS

86.
https://www.youtube.com/live/BeBo6egwuRY?si=UUq6C26ylLyTYtYa

87.
https://www.youtube.com/live/YakmBOAp7hk?si=4EIgXf29UZgjIR1x

80.
https://www.youtube.com/live/CzX80KxzwYA?si=uZKb0L-3kDJw1JDv


90.
https://www.youtube.com/live/OcR8vwykMBw?si=qqS5GrekzIxnIKCo

91.
https://www.youtube.com/live/Icjey0vLutQ?si=Nsh46apMjSi3lAgd

92.
https://www.youtube.com/live/hQNO8SXtWQw?si=99631j8QwnGNILsD

93.
https://www.youtube.com/live/wgNNrp7GA-o?si=nlndWqLMlIOBrhvq

94.
https://www.youtube.com/live/m-dYRGMwHLk?si=tNu_3R01ED4AckfK

96.
https://www.youtube.com/live/4RTTAwMJuGg?si=k1oYuGUxOWDRw2pM

97.
https://www.youtube.com/live/9Ih92JKve_w?si=K2aatnqWmZubRxbB

98.
https://www.youtube.com/live/9qwFtpTfcm8?si=5y-PuAK3LzMDgoXt








Wednesday, December 4, 2024

Text mining in MS-Excel


  1. UPPER: Converts text to uppercase. Example: =UPPER("text") returns "TEXT".
  2. LOWER: Converts text to lowercase. Example: =LOWER("TEXT") returns "text".
  3. PROPER: Capitalizes the first letter of each word. Example: =PROPER("hello world") returns "Hello World".
  4. LEFT: Extracts a specified number of characters from the start of a text string. Example: =LEFT("Excel", 2) returns "Ex".
  5. RIGHT: Extracts a specified number of characters from the end of a text string. Example: =RIGHT("Excel", 2) returns "el".
  6. MID: Extracts a substring starting at a specified position. Example: =MID("Excel", 2, 3) returns "xce".
  7. LEN: Returns the number of characters in a text string, including spaces. Example: =LEN("Excel") returns 5.
  8. SEARCH: Finds the position of a text string within another (case-insensitive). Example: =SEARCH("c", "Excel") returns 3.
  9. FIND: Finds the position of a text string within another (case-sensitive). Example: =FIND("c", "Excel") returns 3.
  10. SUBSTITUTE: Replaces occurrences of old text with new text. Example: =SUBSTITUTE("Excel", "c", "x") returns "Exxel".
  11. REPLACE: Replaces part of a text string with another. Example: =REPLACE("Excel", 2, 3, "mpl") returns "Empl".
  12. CONCAT: Joins multiple text strings into one. Example: =CONCAT(A1, B1) combines the text in A1 and B1.
  13. TEXTJOIN: Joins text strings with a specified delimiter. Example: =TEXTJOIN(", ", TRUE, A1, B1, A2) joins with commas.
  14. TRIM: Removes extra spaces from text. Example: =TRIM(" Excel ") returns "Excel".
  15. CLEAN: Removes non-printable characters from text. Example: =CLEAN("Excel ") returns "Excel".
  16. EXACT: Checks if two text strings are exactly the same (case-sensitive). Example: =EXACT("Excel", "excel") returns FALSE.


Saturday, November 23, 2024

Syllabus on Behavioral economics

Title: Behavioural Economics 

Course objective: Behavioral Economics with Perspectives from Rabindranath Tagore's Philosophy and Basic Statistics

Take Away: By the end of this module, students will understand behavioral economics theories, apply Tagore’s philosophy to economic principles, master statistical tools like R or SPSS and analyze rural decision-making biases. They will explore neuroeconomics, AI’s impact, policy integration, and conduct research, applying insights to real-world behavioral and economic challenges.
=====================================================================
Course Outline:

Paper 1: Introduction to Behavioral Economics (6 hours)
Learning objectives: By the end of this module, students will understand key principles of behavioral economics, including Prospect Theory, Bounded Rationality, Loss Aversion, and Nudge Theory. They will critically compare classical and behavioral frameworks, apply concepts to real-world scenarios, and conduct a literature review on behavioral economics applications in health, finance, or marketing.

1.1Neo classical economics - Rational choice theory, Marginalism, Supply and demand, Perfect competition, Market efficiency. Criticisms of Neo classical theory.
1.2. Prospect theory by Daniel Kahneman and Amos Tversky, 
Reference Point, value function, Probability weighting, Loss aversion.
1.3 Bounded Rationality: Herbert Simon  
Limited Cognitive Capacity, Imperfect Information, Time Constraints, Satisficing, Heuristics and Biases.
1.4 Loss Aversion: Daniel Kahneman and Amos Tversky   
Asymmetric Valuation of Gains and Losses, Endowment Effect, Status Quo Bias, Risk-Seeking Behavior in Loss Frames.
1.5 Nudge Theory: Richard Thaler and Cass Sunstein   
Choice architecture, Default options, loss aversion, social norm, salience.

- Short-term project: Literature review on the applications of behavioral economics in a specific field (e.g., health, finance, marketing) (2 days)

------------------------------------------------------------------------------------------------------------------------
Paper 2: Rabindranath Tagore's Philosophy and Behavioral Economics (6 hours)
Learning objectives: Students will explore Rabindranath Tagore’s philosophy in the context of behavioral economics, focusing on human freedom, creativity, interconnectedness, Swadeshi, and distributed economy. They will analyze how his ideas apply to decision-making, collective welfare, and economic self-sufficiency, culminating in a short-term project linking his philosophy to behavioral economic principles.

2.1. Human freedom and decision making.
2.2. Creativity and economics.
2.3. Interconnectedness and collective good.
2.4. Swadeshi or Self sufficiency and its relevance to Behavioral economics.
2.5. Distributed ecomomy.

- Short-term project: Analyze how Tagore's philosophical ideas can be applied to behavioral economics and decision-making (2 days)

------------------------------------------------------------------------------------------------------------------------

Paper 3: Basic Statistics in Behavioral Economics (6 hours)
Learning objectives: Students will learn descriptive and inferential statistics, correlation and regression, non-parametric methods, and time series analysis. They will apply statistical techniques to behavioral economics, analyzing datasets using software  to identify trends, relationships, and patterns, culminating in a practical short-term project on data-driven insights.

3.1. Descriptive statistics - Descriptive statistics reveal patterns of cognitive biases, such as overconfidence or anchoring, by summarizing decision-making data from experiments.
3.2. Inferential Statistics. 
3.3  Correlation and Regression. 
3.4  Non Parametric statistics.
3.5 Time series analysis.
Short-term project: Analyze a dataset using statistical software to identify trends and correlations (2 days)
-------------------------------------------------------------------------------------------------------------------------
Paper 4: Introduction to Behavioral Economics of Rural Economies
 (6 hours)
Learning objectives: Students will explore behavioral biases, heuristics, financial decision-making, and technology adoption in rural economies. They will analyze policy decisions and agro-counseling within a behavioral economics framework. Using statistical software, students will identify trends and correlations in rural economic data through a short-term project to derive actionable insights.
4.1. Behavioral biases and Heuristics in Rural Economies.
4.2. Financial decision making in rural economies.
4.3. Technology adoption and behavioural economics.
4.4. Policy decisions and behavioural Economies.
4.5 Agro counseling.
Short-term project: Analyze a dataset on rural Economies using statistical software  to identify trends and correlations (2 days)
-------------------------------------------------------------------------------------------------------------------------
5. Advanced Topics in Behavioral Economics (6 hours)
Learning objectives: Students will explore advanced concepts in behavioral economics, including neural mechanisms of decision-making, neuroeconomic models, and AI applications. They will examine the integration of behavioral insights into policy decisions and conduct a literature review on cutting-edge research in neuroeconomics or behavioral finance through a short-term project.

5.1. Key concepts and applications.
5.2. Neural mechanisms of decision making.
5.3. Neuroeconomic models and theories.
5.4 Policy decisions.
5.5 AI in Behavioural Economics 
Short-term project: Literature review on the current state of research in neuroeconomics or behavioral finance (2 days)
=========================================================================
Assessment:

- Class participation and engagement (20%)
- Short-term projects (40%)
- Mid-term exam (15%)
- Final exam (25%)

_Recommended Readings:_

- Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292.
- Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Penguin.
- Tagore, R. (1917). Nationalism. Macmillan.
- Wooldridge, J. M. (2013). Introductory econometrics: A modern approach. Cengage Learning.

Some Internship projects:
Project Themes on Behavioral Economics

Nudging Healthy Behaviors: Investigate how small environmental changes, such as food placement or calorie labeling, influence healthier eating choices.  

The Power of Defaults: Study the impact of default options in settings like savings plans, subscription renewals, or organ donation participation.  

Social Norms and Behavior
Explore how leveraging social proof or peer comparisons can encourage actions like energy conservation or increased charitable giving.  

Framing Effects in Decision-Making Analyze how different presentations of the same information (e.g., gains vs. losses) affect choices in areas such as insurance, investments, or healthcare.  

Overcoming Cognitive Biases: 
 Design interventions to mitigate biases like procrastination or overconfidence in contexts like studying, time management, or financial planning.  

--------
Behavioral Economics combines insights from psychology and economics to understand how individuals make decisions. This field is increasingly being applied across various industries to improve decision-making, design better policies, and enhance business outcomes. Here are career opportunities in different sectors:  

1. **Business and Marketing**  
In this sector, professionals can work as Consumer Behavior Specialists, Marketing Strategists, or Product Designers. Behavioral economists help businesses understand customer behavior, optimize pricing strategies, and design effective marketing campaigns. Applications include crafting advertisements that align with psychological triggers and designing loyalty programs based on consumer decision patterns.  

2. **Finance and Investment**  
Roles in this sector include Behavioral Finance Specialist, Risk Analyst, and Wealth Management Advisor. Behavioral economists analyze biases in investment decisions and develop strategies to mitigate irrational behaviors. Applications include understanding market anomalies, designing tools to help clients make better financial decisions, and analyzing investor behavior.  

3. **Public Policy and Government**  
In public policy, professionals may work as Policy Advisors, Behavioral Insights Specialists, or Program Evaluators. Behavioral economists design policies and interventions that nudge individuals toward better choices. Applications include encouraging healthy lifestyles, improving tax compliance, and increasing participation in public programs through default settings or framing techniques.  

4. **Healthcare**  
Career opportunities in healthcare include Behavioral Health Consultant, Policy Analyst, and Program Designer. Behavioral insights are used to influence healthier choices and improve patient compliance. Applications include designing programs to reduce smoking or obesity, encouraging timely vaccinations, and improving medication adherence.  

5. **Technology and Product Design**  
Behavioral economists in this sector may work as UX Designers, Behavioral Data Scientists, or Product Managers. They contribute to creating intuitive interfaces and improving user engagement. Applications include optimizing website or app designs for better user experiences and reducing decision fatigue through simplified options.  

6. **Corporate Strategy and Human Resources**  
Professionals in this area can work as Organizational Behavior Consultants or Employee Engagement Specialists. Behavioral economics is used to improve workplace productivity and decision-making. Applications include designing incentive structures for employees and enhancing team collaboration through behavioral interventions.  

7. **Education**  
In education, roles include Education Policy Analyst and Learning Designer. Behavioral insights help in creating educational policies and designing effective learning environments. Applications include increasing student engagement through gamification and reducing dropout rates by addressing behavioral barriers.  

8. **Non-Profit and Development Sector**  
Behavioral economists can work as Behavioral Researchers or Program Developers. Non-profits use behavioral economics to influence behaviors for social good. Applications include promoting environmentally sustainable practices and designing donation campaigns to maximize contributions.  

9. **Consulting**  
In consulting, professionals may work as Behavioral Consultants or Change Management Specialists. They advise organizations on how to apply behavioral insights to improve processes and outcomes. Applications include enhancing customer retention and improving operational efficiencies through behavioral designs.  

10. **Behavioral Research and Academia**  
This field also offers opportunities as Researchers, Behavioral Scientists, or Professors. Professionals conduct experiments and research to further understand human decision-making. Applications include exploring cognitive biases, publishing findings to guide industry and policy, and conducting academic research.  

 Key Skills for Behavioral Economics Careers  
Key skills include a strong foundation in psychology and economics, expertise in experimental design and data analysis, the ability to communicate complex ideas effectively, and proficiency in behavioral frameworks like nudge theory.  

Behavioral Economics is a rapidly growing field with applications in virtually every industry, making it an exciting and versatile career choice.


Saturday, November 9, 2024

School Psychology in Rabindrik Psychotherapy

Definition

School psychologists are uniquely qualified members of school teams that support students' abilities to learn and teachers' abilities to teach. They apply expertise in mental health, learning, and behavior, to help children and youth succeed academically, socially, behaviorally, and emotionally. School psychologists partner with families, teachers, school administrators, and other professionals to create safe, healthy, and supportive learning environments that strengthen connections among home, school, and the community. (NASP). School psychologists provide direct support and interventions to students, consult with teachers, families, and other school-employed mental health professionals (i.e., school counselors, school social workers) to improve support strategies, work with school administrators to improve school-wide practices and policies, and collaborate with community providers to coordinate needed services.

Paper 1: Foundations of School Psychology (8hours)

Unit 1.1: Introduction to School Psychology (2 hours)
- Definition and scope
- History and development
- Models of School Psychology (prevention, intervention, consultation)

Unit 1.2: Theories of Learning  (1 hour)
- Learning theories (e.g., behavioral, cognitive)

Unit 1.3: Theories of Developmental psychology(2 hours)
- Cognitive 
- Social
- Personality

Unit 1.4: Cultural Diversity and Individual Differences (2 hours)
- Cultural sensitivity and awareness
- Addressing diversity and individual differences for children with special needs.

Unit 1.5: Ethics and Professional Issues (1 hour)
- Confidentiality and informed consent
- Professional boundaries and responsibilities

Paper 2: Rabindrik Psychotherapy (8 hours)

Unit 2.1: Tagore's Philosophy and Psychology (2 hours)
- Tagore's views on human nature
- Principles of Rabindrik Psychotherapy- Topographic of consciousness, Flow theory, Quantum consciousness, Rabindrik value theory,

Unit 2.2: Therapeutic Techniques (1 hour)
- Storytelling
- Creative expression
- Empathy and self-awareness

Unit 2.3: Emotional Intelligence and Well-being (2 hours)
- Emotional regulation
- Self-esteem enhancement
- Mindfulness

Unit 2.4: Rabindrik Psychotherapy in School Settings (1 hour)
- Applying Rabindrik Psychotherapy in schools
- Case studies

Unit 2.5: Research and Evaluation (2 hours)
- Evidence-based practices
- Evaluating effectiveness of Rabindrik Psychotherapy

Paper 3: Performing Arts Therapy (8 hours)

Unit 3.1: Introduction to Performing Arts Therapy (2 hours)
- Definition and benefits
- Forms of performing arts therapy (e.g., drama, music, dance)

Unit 3.2: Drama Therapy (1 hour)
- Role-playing
- Improvisation
- Script analysis

Unit 3.3: Music Therapy (2 hours)
- Music-based interventions
- Songwriting
- Music-assisted relaxation

Unit 3.4: Dance/Movement Therapy (2 hours)
- Movement-based interventions
- Body awareness
- Expression through dance

Unit 3.5: Integrating Performing Arts Therapy in Schools (1 hour)
- Collaboration with educators
- Addressing specific needs (e.g., anxiety, self-esteem)

Paper 4: Green School Principles (8 hours)

Unit 4.1: Introduction to Green School (2 hours)
- Definition and importance
- Environmental education and awareness

Unit 4.2: Sustainable Practices in Schools (1 hour)
- Energy efficiency
- Waste reduction
- Eco-friendly practices

Unit 4.3: Environmental Education (2 hours)
- Integrating environmental education into curriculum
- Promoting sustainability

Unit 4.4: Addressing Environmental Concerns (1 hour)
- Environmental anxiety
- Climate change

Unit 4.5: Green School Action Plan (2 hours)
- Developing a Green School plan
- Implementation and evaluation

Paper 5: Practicum and Case Studies (4 hours)

Unit 5.1: Practicum Orientation (1 hour)
- Expectations and objectives
- Practicum requirements

Unit 5.2: Case Study Presentations (2 hours)  or
Unit 5.2: School-Based Mental Health Services (2 hours)
- School counseling and psychotherapy
- Referral and liaison services


Total Hours: 36

Assessment:- Written exams (40%)
- Case study presentations (20%)
- Practicum report (20%)
- Reflective journal (20%)

Required Readings:
- Books and articles on school psychology, Rabindrik Psychotherapy, performing arts therapy, and Green School principles.

Prerequisites: None
Target Audience: School psychologists, counselors, educators, and mental health professionals.