Learner Profile Survey · N = 325

Understanding our learners: who they are, how they learn, and how to teach them better

A standardized, cleaned analysis of the 325-response student survey (data.csv), covering demographics, academics, family background, language fluency, learning/communication style, and career readiness — synthesized into teaching-ready personas.

At a glance

The headline numbers that should shape how a program is designed for this cohort.

Respondents
325
median age 22 (19–31)
Gender split
58% / 42%
190 male · 135 female
From UP or Bihar
87%
283 of 325 · Hindi-belt dominant
Hindi fluency (avg /5)
4.3
vs English 3.0/5
No stated career goal
50%
164 of 325 students
Never interned
67%
218 of 325 students
Laptop-comfortable
97%
315 of 325 students
Has a certification
40%
129 of 325 students

Who they are

A predominantly Hindi-belt, first-generation-white-collar cohort: mothers are almost all homemakers, fathers mostly run small businesses or hold government jobs.

Home state (all 14, none folded)
Uttar Pradesh
188
Bihar
95
Jharkhand
9
Madhya Pradesh
6
Uttarakhand
5
Rajasthan
5
Delhi
4
Haryana
3
Maharashtra
3
Tripura
2
Gujarat
2
West Bengal
1
Chhattisgarh
1
Punjab
1
14 states in total; UP + Bihar alone account for 87% of respondents.
Accommodation & family structure
Day Scholar
203
Hostel
122
Nuclear family
185
Joint family
139
98% unmarried; 37% live in hostels, so evening/asynchronous access matters for over a third of the cohort.
Father's occupation (click "+ Show all" to expand)
Self-employed / Business
165
Government Employee
72
Farmer / Agriculture
29
Corporate Employee
21
+ Show all 15 categories
Mother's occupation (click "+ Show all" to expand)
Homemaker
246
Self-employed / Business
40
Government Employee
15
Professional (Unspecified: Doctor/Teacher/etc.)
9
+ Show all 10 categories
76% of mothers are homemakers — many students may be the first in their household navigating a formal career path, with limited career-vocabulary modeling at home.
Graduation college / university (105 canonical institutions after standardizing 238 raw spellings — click "+ Show all" to expand)
Mahatma Gandhi Kashi Vidyapeeth
21
Patliputra University
20
Chaudhary Charan Singh University (CCSU), Meerut
18
University of Delhi
16
University of Lucknow
12
Chhatrapati Shahu Ji Maharaj University (CSJMU), Kanpur
12
Mahatma Jyotiba Phule Rohilkhand University (MJPRU), Bareilly
10
Lalit Narayan Mithila University (LNMU), Darbhanga
10
Dr. Bhimrao Ambedkar University, Agra
10
University of Allahabad
9
+ Show all 105 institutions
Standardized from 238 raw spellings, abbreviations, and typos (e.g. "CCSU", "Ccsu", "C.C.S.U", "CCSU MEERUT" and 9 more variants all collapse to Chaudhary Charan Singh University, Meerut). 55 institutions (17% of respondents) appear only once — a long tail of small regional colleges. Full alias table: university_aliases.py; derivation code: 03_distributions_and_extras.ipynb.

Academic snapshot

Commerce dominates their educational stream, and — importantly — school performance does not carry through to degree performance.

Grade 12 stream → graduation course
Commerce
162
Science
115
Mixed
23
Arts / Humanities
15
Other / unclear
10
Grade 12 stream, feeding into: B.Com (130), BBA/BBM/BMS (74), B.A. (54), B.Sc. (40), BCA (14), and 13 others. (Revised on review — the original classifier missed respondents who just wrote "Science"/"Arts"/"Bio" etc. instead of listing subjects; "Other / Unclear" dropped from 48 to 10 once fixed.)
Average score by stage (%)
Grade 10
69.5
Grade 12
69.8
Graduation
63.8
Grade 10 ↔ Grade 12 correlate moderately (r=0.46) — Grade 12 ↔ Graduation and Grade 10 ↔ Graduation are both weak (r=0.17 and r=0.15).
School performance is only a weak signal of how a student performs at this stage — likely because graduation scores span dozens of non-comparable regional colleges. See the exact scatter plots and n's on the Distributions tab. Don't over-rely on a school transcript to predict engagement today.
Average graduation score by course family (%)
B.Tech / B.E.*
73.8
BBA / BBM / BMS
65.3
BCA
65.2
B.A.
64.6
B.Sc.
63.3
B.Com
62.4
*B.Tech/B.E. has only 4 students in this sample — treat as directional, not robust. (B.Pharm and Law, n=3 and n=1, omitted for the same reason.)

How they engage

Confident in Hindi, less so in English; digitally ready; but thin on career direction and real-world exposure.

English fluency (1=Beginner → 5=Excellent)
1 · Beginner
20
2 · Basic
77
3 · Intermediate
140
4 · Proficient
69
5 · Excellent
19
Mean 3.0/5 — 30% at Beginner/Basic.
Hindi fluency (1=Beginner → 5=Excellent)
1 · Beginner
5
2 · Basic
11
3 · Intermediate
38
4 · Proficient
102
5 · Excellent
169
Mean 4.3/5 — 83% at Proficient/Excellent.

The single most actionable finding: this cohort is far more fluent in Hindi than English. Any curriculum built English-first risks losing the bottom third before the content even lands — default to Hindi or bilingual delivery, and treat English-medium material as something to build toward rather than assume.

Career & exposure readiness (n=325)
No career goal
50% (164)
No internship
67% (218)
No work experience
83% (270)
Travelled abroad
9% (30)
Has certification
40% (129)
Career aspiration theme
Not stated / unsure
171
Other stated
51
Corporate / mgmt.
33
Entrepreneurship
28
Analytics / data
18
Leadership / growth
18
Revised on review: added an Analytics/Data Science theme (13+ mentions of "analytics"/"analyst"/"data" were previously buried in Corporate/Other), and junk non-answers ("Yes", "XYZ", a lone digit) now route to Not Stated instead of Other.
Hobbies mentioned
Sports
90
Reading
73
Travel
59
Music / dance
59
Arts / crafts
29

Learner personas: how they prefer to learn

The survey includes a purpose-built psychometric pairing — a Kolb-style Learning Style and a Communication Style — the right primary axis for "how do we teach them," since it captures preference rather than just past performance.

Learning style
Diverging
167
Converging
77
Assimilating
53
Accommodating
28
51% Diverging — the default lesson design should lead with story/context/perspective, not abstract theory.
Communication style
Narrator
147
Assertor
63
Contemplator
62
Demonstrator
53
45% Narrator — most students respond best to story-framed content over blunt instruction.
Learning style × communication style — headcount
NarratorAssertorContemplatorDemonstrator
Diverging 78 25 33 31
Converging 34 15 17 11
Assimilating 20 13 11 9
Accommodating 15 10 1 2
Darker = more students. Diverging × Narrator is the single largest persona (78 students, 24% of the cohort) and should anchor the default teaching approach.
Top 6 personas by size (75% of the cohort)
PersonaNGrade 12 %Grad %Eng. fluencyAchv. driveHas internshipHas career goal
Diverging Narrator 7870.464.43.03.231% (24)54% (42)
Converging Narrator 3465.962.93.13.435% (12)47% (16)
Diverging Contemplator 3370.069.43.03.448% (16)48% (16)
Diverging Demonstrator 3172.065.13.03.535% (11)48% (15)
Diverging Assertor 2568.064.42.93.124% (6)56% (14)
Assimilating Narrator 2066.955.12.63.225% (5)40% (8)
Full 16-combination breakdown, and code to reproduce it, in 02_eda_and_personas.ipynb / persona_summary.csv.

Engagement tiers: where they currently stand

A secondary, data-driven cut (k-means on scores, fluency, and internship/work exposure) — a gradient rather than sharp "types" (silhouette ≈0.15–0.18), but useful as a modifier on top of the learning-style personas above.

Strong Academic Base
152 students · 47%
Grade 10 avg
75.9%
Grade 12 avg
74.1%
English fluency
3.3/5
Internships
0.24 avg
Arrives with the strongest foundation and best English fluency, but almost no internship/work exposure. Risk: disengagement if under-challenged or given only theory — pair with stretch projects and real-world application.
Foundational / Needs Support
110 students · 34%
Grade 10 avg
60.5%
Grade 12 avg
62.9%
English fluency
2.3/5
Internships
0.16 avg
The lowest scores and by far the lowest English fluency of the three tiers. Needs the most scaffolding: Hindi-first delivery, confidence-building, and smaller steps before skill content.
Experience-Driven
63 students · 19%
Grade 10 avg
69.5%
Internships
1.68 avg
Work exp.
1.06 yrs avg
Grad score
66.8% (highest)
Not the top scorers on paper, but by far the most real-world exposure — and the highest graduation scores of the three tiers. Learns best through applied, practical framing rather than theory-first delivery.

Teaching strategy by style

Kolb's experiential-learning styles map to established teaching strategies; communication style tells you how to deliver and check for understanding.

Diverging (51%)

Learns by watching, gathering perspectives, connecting ideas to feelings and people. Use real stories, case studies, group brainstorming — let them explore why before how.

Converging (24%)

Learns by solving concrete problems and applying ideas practically. Lead with hands-on exercises and simulations; minimize open-ended theory.

Assimilating (16%)

Learns by organizing information logically and thinking things through. Give structured readings, clear frameworks, and time to reflect before acting.

Accommodating (9%)

Learns by doing and adapting on the fly. Front-load hands-on activity; debrief theory after the experience, not before.

Narrator (45%)

Engages through story and context. Frame lessons as narratives with a clear arc; use anecdotes and examples before rules.

Assertor (19%)

Direct and outcome-focused. Be explicit about what's expected, give fast feedback, avoid over-explaining.

Contemplator (19%)

Reflective, needs processing time. Avoid put-on-the-spot cold calls; use written prompts and pause before expecting answers.

Demonstrator (16%)

Learns by seeing it shown. Model the task live/on-screen before asking them to attempt it; pair with visual walk-throughs.

What this means for teaching this cohort

  • Default to Hindi or bilingual delivery. English fluency (3.0/5) trails Hindi (4.3/5) by more than a point on average, and 30% self-rate as Beginner/Basic in English — the Foundational/Needs Support tier especially (2.3/5).
  • Lead with story before theory. 51% are Diverging learners and 45% are Narrator communicators — the single largest persona (24% of the cohort) is exactly this combination. Case studies, real anecdotes, and group discussion should be the default lesson opener, not a supplement.
  • Build career clarity into the curriculum, not just skills. Half the cohort can't articulate a specific career goal, and two-thirds have never interned. Structured goal-setting, exposure activities, and internship prep deserve dedicated time, not an afterthought.
  • Don't pre-sort students by school transcript. Grade 12 score only weakly predicts graduation performance (r=0.17) — treat every student's current engagement as the real signal, not their academic history.
  • Lean on their existing interests for examples. Sports, reading, travel, and music/dance are the most common hobbies — good raw material for analogies, case studies, and light gamification that will actually resonate.
  • Digital delivery is safe — 97% are laptop-comfortable — but 37% live in hostels, so make sure async/self-paced options exist alongside anything synchronous.

How the data was standardized

Before any of the analysis above, the raw export needed real cleanup. Full column-by-column detail is in the Data Standardization Mapping tab above; full, runnable code is in 01_data_standardization.ipynb.

  • Mixed grading scales unified. Scores were entered as plain %, a mistyped ℅ symbol, or CGPA/SGPA/AGPA out of 10 — all detected and converted to a comparable percentage (CGPA×9.5), with the original scale kept alongside.
  • A data-entry error caught. One graduation score was recorded as 948 (impossible as a percentage) — nulled rather than silently kept, after it initially skewed a clustering pass.
  • 20+ spellings of the same board collapsed into CBSE / ICSE / NIOS / State Board (e.g. "Up board", "UP Board", "U.p. board", "Bseb", "RBSE", "Hsc" → State Board).
  • Occupation free text (father / mother / siblings) reduced to a shared taxonomy — dozens of spellings of "Housewife" alone ("House wife", "HOUSEWIFE", "Home maker", "Hose wife"...) collapsed to one category.
  • Siblings count parsed from messy entries — word-numbers ("Two"), a phone number typed by mistake, and a name entered instead of a number were handled or nulled out.
  • Free-text career/achievement/certification fields converted into clean presence flags and keyword-based themes, since they're too varied to treat as structured categories directly.
  • Categorization reviewed and re-run for finer accuracy. A first-pass review caught real gaps: "Household" wasn't recognized as Homemaker; a catch-all "Professional (Doctor/Teacher/etc.)" bucket was absorbing specific titles (Engineer, Advocate, Teacher/Educator, Analyst, Pilot) that should stand on their own; sibling answers describing being in education ("Studied", "Persuing mbbs", "Graduation") were miscategorized as "Other" instead of "Student"; and the Grade 12 stream classifier missed anyone who wrote the bare stream name ("Science", "Arts", "Bio") instead of listing subjects, inflating "Other/Unclear" from 10 to 48. All of this — plus a new Analytics/Data Science career theme and a Not-Stated redirect for junk answers like "Yes"/"XYZ" — is fixed in the current version; see the Data Standardization Mapping tab for the complete, unabridged before → after.

Distributions

Every numeric field in the survey, plotted as a full distribution rather than just a mean — and the two-sided splits for every naturally binary demographic field. All numbers computed in 03_distributions_and_extras.ipynb.

Age (n=325, median 22, range 19–31)
19
9
20
32
21
83
22
78
23
71
24
20
25
17
26
7
27
2
28
1
29
3
30
1
31
1
Number of siblings (n=320, median 1)
0
12
1
164
2
93
3
25
4
13
5
7
6
3
7
1
9
1
10
1
5 responses were unparseable free text (a phone number, a name) and excluded — see the Data Standardization Mapping tab.
Grade 10 score
0-10%
9
10-20%
0
20-30%
0
30-40%
1
40-50%
7
50-60%
52
60-70%
83
70-80%
105
80-90%
58
90-100%
10
Grade 12 score
0-10%
4
10-20%
0
20-30%
0
30-40%
0
40-50%
6
50-60%
51
60-70%
97
70-80%
105
80-90%
54
90-100%
7
Graduation score
0-10%
24
10-20%
0
20-30%
0
30-40%
0
40-50%
3
50-60%
38
60-70%
137
70-80%
100
80-90%
20
90-100%
0
English fluency (1–5)
1 · Beginner
20
2 · Basic
77
3 · Intermediate
140
4 · Proficient
69
5 · Excellent
19
Hindi fluency (1–5)
1 · Beginner
5
2 · Basic
11
3 · Intermediate
38
4 · Proficient
102
5 · Excellent
169
Need for achievement (1–5)
1 · Very low
7
2 · Low
16
3 · Moderate
209
4 · High
60
5 · Very high
33
Work experience (years)
0 yrs
270
1 yrs
35
2 yrs
13
3 yrs
5
4 yrs
1
5 yrs
1
Internships completed
0
218
1
70
2
26
3
6
4
5

Correlation: does school performance predict degree performance?

Each dot is one student. If school scores reliably predicted graduation performance, points would cluster along a rising diagonal — they don't, which is the visual version of the weak r values below.

Grade 10 vs Grade 12
002020404060608080100100Grade 10 score (%)Grade 12 score (%)
Pearson r = 0.458 · n = 324
Grade 12 vs Graduation
002020404060608080100100Grade 12 score (%)Graduation score (%)
Pearson r = 0.165 · n = 321
Grade 10 vs Graduation
002020404060608080100100Grade 10 score (%)Graduation score (%)
Pearson r = 0.146 · n = 322

Grade 10 and Grade 12 form a visibly tighter, more diagonal cluster (r=0.46) than either does with Graduation score (r=0.17 and r=0.15) — consistent with school performance being a real but weak predictor of how a student does once they reach this stage, most likely diluted by the dozens of different, non-comparable colleges/universities everyone graduated from (see the college breakdown below).

Two-sided splits (binary demographics)

Every naturally two-valued field in the survey, shown as one bar split at its true proportion rather than two separate charts.

Gender
Male · 190 (58.5%)
Female · 135 (41.5%)
Family type
Nuclear Family · 185 (57.1%)
Joint Family · 139 (42.9%)
Accommodation
Day Scholar · 203 (62.5%)
Hostel · 122 (37.5%)
Marital status
Unmarried · 317 (97.5%)
Married · 8 (2.5%)
Comfortable on a laptop
Yes · 315 (96.9%)
No · 10 (3.1%)
Travelled abroad
Yes · 30 (9.2%)
No · 295 (90.8%)

Data standardization mapping

For every messy free-text column, this is the exact reverse-mapping: which standardized group each raw survey answer was folded into, and how many distinct raw spellings/variants landed in each group. Every raw value is listed — nothing is truncated or hidden. Click a column to expand it. Full classifier code is in 01_data_standardization.ipynb.

Grade 10 Board 11. Grade 10 Board4 groups · 12 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
CBSE 237 CBSE (237)
State Board 59 State Board (48), Up board (2), RBSE (2), UP Board (2), UP board (1), Bseb (1), Up vo (1), U.p. board (1), UP (1)
ICSE 28 ICSE (28)
NIOS / Open Schooling 1 Nios (1)
Grade 12 Board 13. Grade 12 Board4 groups · 16 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
CBSE 201 CBSE (201)
State Board 100 State Board (83), Up board (4), UP Board (3), BSEB (3), RBSE (2), Bseb (1), BHAR BOARD (1), U.P. Board (1), UP (1), Hsc (1)
ICSE 19 ICSE (19)
NIOS / Open Schooling 5 NIOS (2), Nios (1), BBOSE (1), Bihar board of Open schooling (1)
Grade 12 Subjects -> Stream 14. Subjects Studied in Grade 125 groups · 153 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
Commerce 162 Commerce (102), Commarce (3), Business studies, economics, Accountancy, Hindi, English, physical education (1), Accounts Business studies Economics (1), Commearcr (1), Economics, Accounyancy, Business Studies, English, Painting (1), Accounts business studies economics computer science english (1), Economics, business, accounts, computer science, english (1), English, accounts, business studies, economics, physical education and panoramic painting (1), Accountancy Business studies Economics Hindi English Physical education (1), Accountancy Business studies Economics Hindi English Physical education (1), Accounts, economics, business studies (1), Accountancy,Business Studies,Economics (1), English Hindi Economics Business studies Accountancy Physical education (1), Financial Accounting, Business Management, Physical education, English, Economics. (1), Accounts, english , business studies, fine arts , physical education, economics (1), English, Hindi, Commercial Application, History and Economics (1), Accountancy, BST , Economics, English, physical education (1), Commerce (account, eco, business, hindi english ) (1), Economics, accounts, business studies, english (1), Accounts, Business Studies (1), Account, economic, business studies, english (1), Accountancy, business studies, economics, English, computer science. (1), Business studies ; accounting ; economic ; physical education ; english (1), Comm (1), Business studies , Financial accounting, micro macro economics, English, Physical education (1), Arts+ Economics (1), COMMERCE (1), I.com (1), Commerce, Economics, Accounts (1), Accountancy, business studies , mass studies, English , economics (1), Business Studies, Accountancy, Economics, IP, English (1), Account, business studies, economics (1), Economics Commerce Accounts English Home science (1), Accountancy, Business studies and economics. (1), Accounts,business studies, economics, english, vocal music (1), Commerce, economics, hindi , accountancy, english (1), Economics, account, statistics, english, Gujarati (1), Economics business accounts statistics (1), Business studies, account, economics,english,physicaleducation (1), Accountancy, Business Study's, Enterpreneurship , English, Hindi (1), English,IT, Business Studies, Accountancy, Economics (1), Accountancy Business Studies Business Economics Computer English Hindi (1), Commerc (1), Account BST Economics (1), Accountancy, Bst,Eps,English (1), Accountancy,business studies, economics,english (1), English, Accountancy, Business Studies, Economics and Information Technology (Python) (1), Business Studies , Accountancy, Economics (1), Accountaancy, Business Studies, Economics, English, Fine Arts, Physical Education (1), Business studies , economics accounting (1), Commerce, english and psychology (1), Commerce sp hindi (1), Statistics , finance , literature, accounting, economics (1), Accounting, Business Studies , Economics, Physical education, (1), Account Business study Entrepreneurship Hindi English (1), Account, business studies, english, physical education, economics (1), Accountancy, business studies, economics, english,fine arts, physical education (1), Commerce English And IP (1)
Science 115 PCM (20), Science (17), PCB (10), Pcm (6), Math (3), Maths (3), Bio (2), PCM and C.S (2), Computer science,english, math,physics, chemistry (1), Mathematics, Physics, Chemistry, English and Hindi (1), Maths physics chemistry (1), Maths ,physics, chemistry (1), Physics chemistry biology hindi english painting (1), Physics , chemistry, biology, English, Information technology (1), Physics,Chemistry,Biology,English (1), PCM with Physical Education (1), PHYSICS , CHEMISTRY, MATH (1), PCB(Science) (1), SCIENCE (PCM) (1), Physics ,chemistry, mathematics ,english ,hindi (1), SCIENCE (1), Biology (1), Physics, chemistry, physics, english, physical education . (1), Physics, Chemistry, Maths, Biology, Hindi, English (1), Science and Maths (1), Hindi, English, Physics, Maths, Chemistry (1), Science (PCM) (1), Physics, Chemistry, Mathematics, English literature and Computer science (1), Hindi English Mathematics History Geography (1), Physics Math Chemistry English Hindi (1), Physics, Chemistry, Biology, Hindi, Physical Education, English (1), Maths, physics, chemistry,english,hindi (1), Physics,chemistry,biology, english, physical education (1), Maths Chemistry Physics English Hindi (1), Mathematics, Physics, Chemistry, Hindi, English (1), Physics, chemistry, biology, computer, english (1), Biology physics chemistry (1), Physics Chemistry Biology (1), Chemistry Physics Maths English Physical Education (1), Physics, Chemistry,Biology,English, Hindi (1), Mathmatics (1), Physics , Chemistry, Maths, English & P.ed (1), PHYSICS CHEMISTRY MATHS (1), Hindi, english, physics, chemistry, maths (1), Physics, chemistry, maths, physical education, english (1), Mathematics (1), Physics, chemistry, biology, english, music (1), Maths ,English ,IT,chemistry ,physics (1), Biology, physics, chemistry, english , physical education, painting (1), Physics , chemistry, biology, english , painting, physical education (1), Physics, Chemistry, Mathematics, English, Drawing, IT (1), PCM, Hindi and English (1), Physics, Chemistry, Mathematics (1), Physics,chemistry,maths,hindi,english (1), Physics, Chemistry, physics, Mathematics, physical education (1), Physics, chemistry, mathematics, English, physical education (1), Physics, Chemistry,biology , English and Hindi (1), Physics,chemistry,biology (1), Biologica physics chemistry (1), Biology Physics Chemistry English Hindi (1)
Mixed 23 Commerce with maths (4), Accounts Business studies Economics English Applied maths Physical education (1), Humanities: English, History, Economics, Political Science, Maths (1), Accountancy , Mathematics , Economics , English and Business (1), Accountancy, maths, english, economics, business (1), Business studies, Accountancy, Economics, Maths, English (1), BUSINESS STUDIES, ACCOUNTING,MATHS, ECONOMICS, (1), Political science, Mathematics ,Economics, English, Hindi, Physical education (1), Accounts, Commerce, Economics, Mathematics, English (1), Accountancy, business studies, Economic, Applied mathematics, English (1), Commerce - Accounts, Business studies, Economics, English, Maths (1), COMMERCE WITH MATHS (1), Economics, accountancy, business studies, english, physical education, maths (1), Accountancy, business studies, economics, english, entrepreneurship, physics education (1), Commerce, Accounts, Economics, Maths, English (1), Business, economics, accounts , english, maths, painting (1), Accounting, math's, economics, english,it (1), English, Economics, Accountancy, Business studies, Mathematics (1), Commerce without maths (1), Accounting,english,economics,business,physics education,Hindi (1)
Arts / Humanities 15 Arts (10), Humanities (1), humanities (1), Political science, english, sociology, painting, physical education (1), Art's (1), History, polity, geo, psychology (1)
Other / Unclear 10 5 (3), English…. (1), 59 (1), 60 (1), Medical (1), I com (1), A (1), P,C,M (1)
Graduation Course 15. Graduation Course9 groups · 29 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
B.Com (Commerce) 130 B.Com. (Bachelor of Commerce) (127), B.Com hons (1), B.com (honours) (1), Bcom investment mgt (1)
BBA / BBM / BMS (Management) 74 BBA (Bachelor of Business Administration) (64), BBM (5), Bba (1), BMS (1), BBM(bachelor in Business Management) (1), BBA LLB (H) (1), Bms bachelor of management (1)
B.A. (Arts / Humanities) 54 B.A. (Bachelor of Arts) (53), BA. HON. GERMAN (1)
B.Sc. (Science) 40 B.Sc. (Bachelor of Science) (35), Bsc radiology (1), Bsc ag honours (1), B.Sc(hona) Agriculture (1), Bsc Hons Computer Science (1), B.Sc agri (Hons) (1)
BCA (Computer Applications) 14 BCA (Bachelor of Computer Applications) (10), BCA (3), Bca (1)
Other Specialized 5 Music (2), Journalism and mass communication (1), B.B.A (1), B.ED (Bachelor of Education) (1)
B.Tech / B.E. (Engineering) 4 B.Tech. / B.E. (4)
B.Pharm (Pharmacy) 3 B.Pharm. (Bachelor of Pharmacy) (3)
Law 1 LL.B. (Bachelor of Laws) (1)
Father's Occupation 19. Father's Occupation15 groups · 38 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
Self-employed / Business 165 Self-employed/Business (163), Businessman (2)
Government Employee 72 Government Employee (72)
Farmer / Agriculture 29 Farmer (23), Farmar (2), farming (1), farmer (1), Agricultural (1), Agriculturist (1)
Corporate Employee 21 Corporate Employee (21)
Professional (Unspecified: Doctor/Teacher/etc.) 8 Professional(Doctor, Teacher, etc.) (8)
Private Sector Job 8 Private job (3), Security (1), Hotel Manager (1), Private worker (1), Dumper operator (1), Service (1)
Ex-Servicemen / Military 7 Ex-servicemen (2), Retired from air force (1), Ex Army Man (1), Ex army man (1), Army Retired (1), Army (1)
Retired / Pensioner (Unspecified) 4 Retired police officer (1), Retire (1), Pensioner (1), Retired (1)
Not Specified 4 Na (1), ,No (1), NA / blank (1), NA (1)
Teacher / Educator 2 Principal (1), Principal of private school (1)
Government Employee (Retired) 1 Retired Government employee (1)
Engineer 1 Civil Engineer (1)
Deceased 1 Expired (1)
Advocate / Legal 1 Advocate (1)
Landowner / Property 1 Landowner (1)
Mother's Occupation 20. Mother's Occupation10 groups · 34 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
Homemaker 246 Housewife (94), House wife (69), Homemaker (31), Home maker (17), House maker (7), Housemaker (5), housewife (3), HOUSE WIFE (2), House Maker (2), HOUSEWIFE (2), House Wife (2), Home Maker (2), Hose wife (1), House life (1), Housewife mother (1), HOUSE MAKER (1), House manager (1), House keeper (1), Household (1), House wide (1), house wife (1), Housekeeper (1)
Self-employed / Business 40 Self-employed/Business (40)
Government Employee 15 Government Employee (15)
Professional (Unspecified: Doctor/Teacher/etc.) 9 Professional(Doctor, Teacher, etc.) (9)
Corporate Employee 6 Corporate Employee (6)
Not Specified 5 No (2), No more (1), Non (1), Na (1)
Banking / Finance Professional 1 SBI advisor (1)
Student 1 Student (1)
Social Worker / NGO 1 Social Worker (1)
Deceased 1 LATE (1)
Siblings' Occupation 22. Siblings' Occupation12 groups · 47 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
Student 160 Student (110), Students (14), Studying (12), Study (6), student (3), In school (2), STUDENT (2), In class 1 (1), StudentStudent (1), Schooling (1), students (1), Studied (1), Upsc aspiration (1), Graduation (1), School (1), Persuing mbbs (1), Their doing study (1), School Student (1)
Corporate Employee 61 Corporate Employee (59), Studying and Corporate employee (1), Corporate employee and student (1)
Self-employed / Business 51 Self-employed/Business (49), Businessman (1), Business man (1)
Government Employee 12 Government Employee (12)
Professional (Unspecified: Doctor/Teacher/etc.) 12 Professional(Doctor, Teacher, etc.) (12)
Not Specified 12 NA / blank (2), 0 (2), No (2), Nil (1), Married (1), Non (1), Na (1), Normal work (1), O (1)
Unemployed / None 10 Nothing (4), Unemployed (3), Unemployed yet (1), No job (1), Not employed (1)
Homemaker 3 Homemaker (1), House maker (1), Housewife (1)
Analyst / Consultant 1 Patent Analyst (1)
Other 1 Sister houswife and brother works on father shops (1)
Private Sector Job 1 Private Job (1)
Pilot / Aviation 1 Pilot (1)
Career Aspirations -> Theme 33. What Are Your Career Aspirations?7 groups · 160 raw variants
Standard groupNConsidered (raw value · count) — all variants shown
Not Stated / Unsure 171 NA / blank (158), Yes (4), Na (2), … (1), No aspirations (1), XYZ (1), 4 (1), No (1), Nil (1), NONE (1)
Other 51 To be (1), To become a world class consultant. (1), Wanted to work in export and import sector and interior Designing (1), To take a good job (1), My brother (1), Enhancing well-being and work-life balance (1), Job (1), Finan (1), Communication and use of AI (1), To geta a job in reputed company (1), Get job in Japan (1), Data analyist (1), MY FATHER (1), Samay raina or virat kohli (1), Sundar Lal Pichai (1), Not sure right now (1), Wants to become CEO (1), Opretion sector (1), . (1), M.D of Skyfield agro industries (1), To be a part of German automobile industry. (1), Success (1), My career aspirations is self (1), Grabing knowledge related to financial background and stimulating my knowledge related to this field (1), Targeting Big four (1), MS. Dhoni (1), Top brass of Regulatory body like Rbi or sebi. (1), Cooperate job (1), Focussing on my goals (1), Self dependent (1), Ratan Tata (1), I want to get placed with a very high package ..I know I have the ability if I get some guidance and I am motivated enough to do anything or learn any skill that will help to increase my package. (1), High salary (1), My family (1), To continuously improve my skills and achieve success in my chosen career (1), CEO (1), Becoming the best version of myself that aligns with my own potential, thriving myself while pursuing this course in my interested subjects. (1), Want to get a job on high profile (1), Travel Operations (1), Pgdm hr (1), Nothing (1), Bussiness (1), Aspiration is to become a manageable (1), Good career (1), Good profile (1), Entrpenure (1), My hard work (1), Script writer (1), Good job (1), My brother because he passout in iim Ahmedabad and achieve a good placement (1), Good professional journey (1)
Corporate / Management 33 Marketing (3), My career aspiration is to build a successful career in the corporate sector by developing strong management and leadership skills. (1), I want to become a corporate guy (1), Work in managerial and leadership role (1), To be successful position in the management field. (1), Sales and marketing and HR (1), To become a skilled management professional. (1), Civil/ corporate (1), In corporate field (1), Brand Manager (1), Hr and finance (1), My career aspirations is to professional manager. (1), Operation, marketing (1), I want to build my carrier in HR field (1), Marketing manager (1), Successful career in corporate sector (1), Marketing manager, finance consultant,Hr executive (1), My career aspiration is to grow into a skilled HR professional, continuously learn, take on leadership roles, and make a meaningful impact by helping organizations and employees succeed. (1), i would envision myself be good in corporate career (1), Learn about corporate world (1), Going to high-impact corporate roles like Management (1), I want to work in a MNC at a reputed post (1), Becoming CMA Chief Marketing officer (1), Logistics and supply chain management (1), Developing Leadership and management skills (1), HR and marketing (1), Marketing & HR (1), To being in a MNC at a better role (1), My career aspiration is to build a successful career in the corporate sector by taking up leadership roles . (1), Successful management professional (1), Financial advisor and financial management (1)
Entrepreneurship / Business 28 Own business (2), Businessman (1), Want to build my own business (1), My aspirations is became an expert in finance or business analytical field (1), Entrepreneur (1), Build a successful business man in management field (1), International business (1), Business (1), Opening my own company (1), I want to get into a managerial role where I can contribute to decision making and then I want to start a business of my own. (1), My career aspiration is to continuously develop my skills, take on greater responsibilities, and grow into a leadership role over time. In the short term, I want to build strong expertise in my field, contribute meaningfully to my team, and learn from experienced professionals. In the long term, I aim to lead projects, mentor others, and help drive business success while continuing my professional growth." (1), To open a Business school in my town (1), Business, Enterpreneur (1), HR and entrepreneurs (1), To be able to have a owned business (1), I want open my own business and want to make it successful in future (1), First I want to do job and gain experience the I want to start my startup (1), Corporate job and also have business (1), Product business (1), To have a own business company (1), To have a proper job in corporate line than have to start my own good business (1), Businesses (1), To have a automated business setup, having luxury feel (1), International business and HR and marketing (1), In Finance and HR and international business (1), I Want To Be At A Managerial Role and Later On Start My Own Business In Home Town (1), My career aspiration is to build a successful career in the corporate world. Through my PGDM course, I want to improve my management, communication, leadership, and problem-solving skills. I aim to gain practical knowledge through internships and projects and apply what I learn in real business situations.After completing my PGDM, I want to work in a reputed company where I can learn from experienced professionals, and grow in my career. In the future, I hope to become a responsible manager and contribute to the success of my organization while continuously improving my skills and knowledge. (1)
Leadership / Self-Growth 18 Become a leader (1), Being independent and being leader (1), I want to see myself in a responsible position (1), To achieve a good and respected position in famous company (1), To be successful and be in a good position (1), Aiming for leadership (1), I want to be a self independent woman with knowledge and somewhere where i am learning new things daily and enjoying my success (1), To grow as leaders ship (1), To be a successful person (1), As a leaders ship (1), To be leader (1), I want to be self independent (1), To become a successful person in the industry (1), Being successful and satisfied as well (1), Work as a leadership entity for a organisation (1), To be in a field of successful HR (1), My career aspiration is to begin my career in a reputed organization where I can apply my knowledge, gain practical experience, and grow into a responsible professional. (1), Grow with professionally (1)
Analytics / Data Science 18 Hr, Marketing analyst (2), Either to work in finance or analyst sector (1), Doing a good role in business analytics (1), Want to work on my confidence and speaking skills, and want to build my career at manager level in growth marketing manager or analyst (1), My future aspiration is becoming a best business analyst (1), I am looking forward to become a professional in field of analytics specifically being part of sports industry collecting and analysing raw data for team's good performance. (1), Get a job in data analytics field (1), Work in areas such as financial analysis, business analytics, banking analytics, credit/risk, consulting etc. (1), Operation, business analytics (1), Business analytics, opration (1), To built a successful career in Data analytics and operations management. (1), To become data analytics (1), To be successful in the field of business analytics (1), Business Analytics and Podcaster (1), I desire to have a career in analytics field (1), My ambition is to contribute to a dynamic multinational company where i can leverage my expertise in finance and data analytics to play a significant role in the company's efficiency and growth. And to become CA. (1), Financial analyst business analyst project management (1)
Banking / Finance 6 To make career in finance (1), Go ahead in finance (1), Gaining knowledge about finance (1), To work in investment banking (1), Job in finance (1), Finance (1)

Hobbies — word cloud

Individual word frequency from the free-text 31. Hobbies field (325 responses), stopwords and filler words removed. Size = frequency; hover a word for its exact count.

reading playing travelling cricket dancing music listening books watching exploring learning singing cooking games sports book badminton chess movies sketching painting novels drawing football writing fitness
"Reading" and "playing" tie as the most-mentioned words (66 each); cricket, travel, and music/dance follow closely — good raw material for examples and light gamification (see the Home tab's teaching recommendations).

Career aspirations — word cloud

Individual word frequency from the free-text 33. Career Aspirations field, among the 161 students who wrote something more specific than "NA"/blank. Generic filler words (e.g. "grow", "future") removed.

business successful marketing analytics corporate management finance leadership build professional analyst manager knowledge data learn success financial start reputed leader managerial international
"Business" dominates, followed by a cluster of corporate-vocabulary words (marketing, analytics, corporate, management, finance) — consistent with the Corporate/Management and Entrepreneurship themes on the Home tab.

Favourite books — genre word cloud

From the free-text 36. Favourite Book field: 163 of 325 students named a book (136 unique raw spellings, collapsed to ~89 identifiable, specific titles after merging typos/duplicates — e.g. "Rich dad poor dad", "Rice Dad poor dad", and "Rich dad and poor dad" all count as one title). Genres below are aggregated from those identifiable titles only; vague answers ("Novel", "Story book", "G.K", "No book") are excluded since they can't be genre-classified.

Self-Help & Personal Development Personal Finance & Business Literary & Contemporary Fiction Fantasy Indian & Hindi Fiction Classic Literature Memoir & Biography Thriller & Mystery Religious & Spiritual History & Politics Romance YA Fiction Philosophy & Strategy
Self-Help & Personal Development and Personal Finance & Business dominate — Rich Dad Poor Dad alone accounts for 19 mentions, more than any other title by a wide margin. Fiction (literary, fantasy, Hindi/Indian, classic) is the next-largest cluster.
Identified titles, by mentions
TitleAuthorGenreMentions
Rich Dad Poor DadRobert KiyosakiPersonal Finance19
Atomic HabitsJames ClearSelf-Help8
Harry Potter (series)J.K. RowlingFantasy5
The AlchemistPaulo CoelhoPhilosophical Fiction4
The Art of Being AloneRenuka GavraniSelf-Help3
48 Laws of PowerRobert GreeneSelf-Help / Strategy3
The Power of Your Subconscious MindJoseph MurphySelf-Help3
IkigaiGarcía & MirallesSelf-Help / Philosophy3
Gulliver's TravelsJonathan SwiftClassic Satire3
Bhagavad Gita / Ramayana (mentioned)TraditionalReligious & Spiritual3
Discovery of IndiaJawaharlal NehruHistory & Politics2
VerityColleen HooverThriller / Romance2
Wings of FireA.P.J. Abdul KalamMemoir & Biography2
The Kite RunnerKhaled HosseiniLiterary Fiction2
Musafir CafeDivya Prakash DubeyIndian Fiction (Hindi)2
Gunaho Ka DevtaDharamvir BharatiIndian Fiction (Hindi)2
Psychology of MoneyMorgan HouselPersonal Finance2
The SecretRhonda ByrneSelf-Help1
SapiensYuval Noah HarariHistory / Non-fiction1
The Lord of the RingsJ.R.R. TolkienFantasy1
Diary of a Young GirlAnne FrankMemoir & Biography1
How to Win Friends & Influence PeopleDale CarnegieSelf-Help1
The Lean StartupEric RiesBusiness1
MetamorphosisFranz KafkaLiterary Fiction1
Three Men in a BoatJerome K. JeromeClassic / Humor1
The Jungle BookRudyard KiplingClassic Literature1
A Song of Ice and FireGeorge R.R. MartinFantasy1
The Silent PatientAlex MichaelidesThriller1
Intelligent InvestorBenjamin GrahamPersonal Finance1
Tuesdays with MorrieMitch AlbomMemoir1
The Perks of Being a WallflowerStephen ChboskyYA Fiction1
A Thousand Splendid SunsKhaled HosseiniLiterary Fiction1
OthelloWilliam ShakespeareClassic Drama1
The Art of WarSun TzuPhilosophy / Strategy1
It Ends With UsColleen HooverRomance1
Five Point SomeoneChetan BhagatIndian Fiction (English)1
Midnight's ChildrenSalman RushdieLiterary Fiction1
Genres cross-checked against Goodreads/Amazon listings for the three least-obvious titles (The Art of Being Alone, Musafir Cafe, Gunaho Ka Devta); mainstream titles classified from established genre knowledge. Sources: Goodreads — The Art of Being Alone, Goodreads — Musafir Cafe, Goodreads — Gunaho Ka Devta.

Teaching FAQ: running an English Communication class with this cohort

Framing: this is the enrolled student list for a university English Communication course. Every answer below is grounded in the numbers elsewhere in this report — not generic teaching advice.

Language of delivery

This is an English Communication class — but should I actually teach it in English?

Mostly no, especially not at the start. Self-rated English fluency averages 3.0/5 against Hindi at 4.3/5, and 30% of the class sits at Beginner/Basic English (level 1–2). For the Foundational / Needs Support tier (34% of the class), average English fluency is just 2.3/5. Explain new concepts and give instructions in Hindi or bilingually, then have students practice output in English — the class's actual job is building English communication skill, which means English should show up as the thing being rehearsed, not the language the rules are explained in.

Range management

My class spans Beginner to Excellent in English. How do I teach the middle without losing either end?

The distribution isn't actually bimodal — it's a hump centered on "Intermediate" (140 of 325, the single largest group), with smaller tails at Beginner (20) and Excellent (19). Design the core lesson for Intermediate, then run two light-touch adaptations: a sentence-starter/vocabulary scaffold handed to the Beginner/Basic tail (97 students) so they can attempt the same task at a smaller scale, and an "add nuance" stretch prompt (idioms, register-switching, persuasive framing) for the Proficient/Excellent tail (88 students) so they're not just waiting. Don't build three separate lesson plans — one task, two optional add-ons.

Grouping

How should I group students for pair or group work?

Mix fluency levels within each group rather than clustering similar levels together — peer modeling does real work here given the range. But don't ignore learning style: 51% of the class is Diverging (Kolb) and 45% are Narrator communicators, so most groups will default to storytelling/anecdote mode on their own, which is good for this subject. For the smaller Contemplator slice (19%), give a minute of silent think-time or a written prompt before opening the floor — cold-calling this group first tends to get you silence, not a considered answer.

Content & examples

What examples and content will actually land with this class?

Lean on what they've told you they already care about: Sports (90 mentions), Reading (73), Travel (59), and Music/Dance (59) are the most common hobbies — use them as the subject matter for speaking/presentation prompts rather than generic "describe your weekend" topics. On career language specifically, the aspiration word cloud is dominated by business, marketing, analytics, and corporate vocabulary — a communication class that teaches how to introduce yourself, pitch an idea, or write a professional email in those registers will feel directly useful rather than academic.

Career clarity

Half the class has no clearly stated career goal. Does that matter for a communication class?

Yes — 50% (164 of 325) didn't state a specific career aspiration. A communication class is actually a natural place to build this without derailing the syllabus: use "introduce yourself professionally," "explain what you want to do and why" as a recurring speaking assignment across the term. Students refine the answer as their thinking clarifies, and you get an authentic, personal speaking topic every time instead of an artificial prompt.

Logistics

Does it matter that a third of the class lives in hostels?

Mainly for anything you assign outside class. 37.5% (122 of 325) live in hostels and 62.5% are day scholars commuting in — 97% are laptop-comfortable, so digital delivery (recorded clips, shared docs, async discussion boards) is safe for both groups, but evening commitments will be easier for hostel students and harder for day scholars. If you run a graded async component, give a multi-day window rather than a same-evening deadline.

Predicting struggle

Can I use school marks (10th/12th percentage) to predict who will struggle in my class?

Not reliably. Grade 10 and Grade 12 scores correlate with each other (r=0.46) but only weakly with graduation performance (r=0.17 and r=0.15) — see the scatter plots on the Distributions tab. A strong school transcript doesn't reliably predict an engaged student today, and a weak one doesn't reliably predict a struggling one. The English fluency self-rating and engagement tier (Distributions / Home tabs) are far more directly relevant signals for a communication class than an old school percentage.

Assessment

How do I assess fairly given the fluency spread?

Separate content/effort from polish in your rubric, and weight them so a Beginner-level student attempting a well-structured, on-topic response can still score well even with grammar mistakes. If everything is graded purely on grammatical accuracy, you are effectively grading English-medium-schooling background (correlated with the Strong Academic Base tier's higher fluency) rather than communication skill — which defeats the point of the course for the 34% in the Foundational tier who most need it.

Confidence-building

What's the fastest way to build speaking confidence in the low-fluency group?

Low-stakes, high-frequency speaking beats occasional high-stakes speaking for this group. Short, ungraded "30-second answer" warm-ups every session build more fluency than one big graded presentation per month — and they let you informally track who's progressing without a formal test. Pair this with the Hindi-first instruction approach above: explain the task in Hindi, then require the attempt in English.

Communication style

Should a student's Communication Style (Narrator / Assertor / Contemplator / Demonstrator) change how I call on them?

Yes, in small ways. Narrators (45%, the largest group) respond best when you ask "tell me about a time..." rather than "what do you think about...". Assertors (19%) want the direct question and fast feedback — don't over-soften criticism for them. Contemplators (19%) need a beat of think-time before being expected to answer out loud — ask the question, then move on and circle back. Demonstrators (16%) learn the task by watching you (or a peer) do it first — model before you ask.

Week 1

If I only do three things in week one, what should they be?

1) Run a quick, informal spoken self-introduction from every student — this is your real fluency diagnostic, more useful than the survey's self-rating. 2) Set the expectation that instructions will be bilingual but practice output should be attempted in English, so no one is surprised later. 3) Ask each student, in one sentence, what they want to be able to do in English by the end of the course — you'll get better engagement data from that than from any school transcript.