Dropouts in higher education in India: causes and solutions

Introduction
India has made substantial progress in widening entry into higher education, but admission is only the beginning of the educational process. The All India Survey on Higher Education for 2023 to 2024 records total enrolment of about 4.50 crore students and a national Gross Enrolment Ratio of 30, compared with 23.7 in 2014 to 2015. Female GER reached 31.2, while the GER of Scheduled Caste and Scheduled Tribe students rose to 27.8 and 22.8 respectively. These figures demonstrate a significant expansion of participation, yet they do not by themselves establish whether students admitted to colleges and universities ultimately obtain the qualification for which they entered. AISHE remains primarily an enrolment and institutional statistics system, even though institutions also report examination related information, and India still lacks a routinely published national true cohort completion measure comparable with systems that track a student from initial entry to graduation, transfer, temporary interruption or permanent departure. This distinction is increasingly important because the National Education Policy 2020 seeks a higher education GER of 50 per cent by 2035. Expanding entry without strengthening completion would increase participation while leaving an important part of the educational promise unfinished. [1] [2]
Student departure must therefore be examined as a problem of retention, completion, mobility, equity and institutional responsibility, rather than as a single statistic called dropout. Some students leave because they obtain employment, transfer to another institution, change programmes, take a temporary break, or use an academically recognised exit route. Others leave because of financial stress, academic failure, discrimination, language barriers, mental distress, family responsibilities, disability related inaccessibility, unsafe accommodation, ragging, poor course selection or ineffective grievance redress. The legal and administrative response cannot sensibly treat all these situations alike. A sustainable system should prevent avoidable exits, permit legitimate mobility, recognise learning already completed, provide realistic routes for re entry, and identify situations in which the institution itself has failed to provide a safe and supportive learning environment. The central question is therefore not merely how many students leave, but who leaves, when, why, with what academic credit, and whether the institution could reasonably have prevented the departure. That approach connects admission policy with teaching quality, financial aid, constitutional equality, mental health protection, data governance and institutional accountability.
Understanding What a Dropout Is
The word dropout is often used too broadly. A student who leaves one university after obtaining a better seat elsewhere has generated an institutional withdrawal but not necessarily a loss to the higher education system. A student who suspends study for a year because of illness, pregnancy, caregiving responsibilities or financial difficulty and later returns is more accurately described as a stop out. A student who leaves after completing an authorised certificate or diploma stage within a flexible undergraduate structure has taken an earned exit. A postgraduate or doctoral candidate who accepts employment before formally completing a programme is different again. The most serious form of attrition is a student who leaves higher education permanently without a recognised qualification, without an active transfer and without a realistic intention or mechanism to return. Measurement should separate these pathways because each requires a different response. Transfer requires portability of credits, temporary interruption requires leave and re entry rules, academic difficulty requires teaching support, financial departure requires aid, and permanent disengagement requires investigation of the causes that pushed the student beyond recovery.
This distinction also exposes an important weakness in Indian higher education statistics. A raw count of withdrawals cannot establish a dropout rate unless the denominator, cohort, programme level, duration and subsequent destination of each student are known. If 100 students enter a three year programme, a meaningful completion system should determine how many graduate on time, how many graduate later, how many remain enrolled, how many transfer, how many obtain an intermediate credential and how many leave with no qualification. The OECD increasingly uses such true cohort information for international completion analysis. Its 2025 education indicators report that, across participating OECD and partner systems, about 43 per cent of bachelor’s entrants complete a tertiary qualification within the theoretical duration, about 59 per cent within one additional year and about 70 per cent within three additional years. These figures should not be mechanically applied to India because institutional structures, entry patterns and student populations differ. Their value lies in demonstrating what can be learned when a system follows educational trajectories rather than counting admissions and withdrawals as disconnected events. [3]
A credible national retention measure should identify the original admission cohort, distinguish transfer from permanent exit, permit delayed completion to be observed, identify recognised intermediate awards and report outcomes by programme level, institution type, gender, social category, disability status and other lawfully collected variables. Without this structure, a high number of withdrawals may exaggerate failure in institutions with substantial student mobility, while a low number may conceal students who remain formally registered but are no longer meaningfully engaged.
What the Evidence Shows
AISHE provides the most authoritative national picture of the scale of Indian higher education. The Ministry of Education reported that 59,533 of 64,756 registered higher educational institutions participated in AISHE 2023 to 2024, a participation rate exceeding 90 per cent. The Ministry also expressly cautions that participation is voluntary and that data are self reported by institutions, although the portal uses validation and scrutiny checks. This is an important methodological qualification. The survey is indispensable for understanding enrolment, faculty strength, institutional expansion and participation by social group, but the quality of the underlying record still depends substantially on institutional reporting. The most recent figures show clear gains in access, including the rise in female GER and increased participation among Scheduled Caste and Scheduled Tribe students. These achievements make retention more important, not less, because equitable access produces durable social benefit only when students are also able to progress, complete, transfer successfully or leave with recognised learning. A system that celebrates inclusion at entry but does not examine unequal attrition risks overlooking whether historically underrepresented groups experience a second barrier after admission. [1]
| Institution type | Total | SC | ST | OBC |
|---|---|---|---|---|
| Central Universities | 17,454 | 2,424 | 2,622 | 4,596 |
| IITs | 8,139 | 1,068 | 408 | 2,066 |
| NITs | 5,623 | 875 | 486 | 1,329 |
| IISERs | 1,046 | 139 | 70 | 266 |
| IIMs | 858 | 188 | 91 | 163 |
| IIITs | 803 | 124 | 98 | 161 |
| Total including SPAs | 33,979 | 4,823 | 3,777 | 8,602 |
The central institution figures, reported from a 2023 parliamentary reply, are useful but should not be misunderstood as a national dropout rate. They cover selected centrally funded institutions and do not supply a common admission cohort denominator. The Ministry’s explanation, as reported from the parliamentary response, was that many postgraduate and doctoral departures were associated with employment or better opportunities, while undergraduate departures included wrong choices at admission, poor performance, personal reasons and medical reasons. The same exchange highlighted an important coverage problem: National Law Universities are principally created under state legislation, and centrally maintained dropout data did not provide a national picture for those institutions. The wider gap is even more significant because state universities, private universities and affiliated colleges educate a very large part of the Indian student population. A sustainable national system therefore needs a common reporting definition rather than an occasional collection of institutional withdrawal totals. Counts are evidence of movement, but cohort rates are evidence of completion performance. The difference is crucial for policy design and for fair comparison between institutions. [5]
Household survey evidence provides a different perspective on educational disengagement. The Ministry of Statistics and Programme Implementation’s NSS 75th Round on household social consumption in education examined persons aged 3 to 35 who had previously enrolled but were not currently attending. Because that age range includes school as well as higher education, the findings must not be presented as university dropout percentages. They are nevertheless informative about the social pressures surrounding educational participation. In rural areas, economic activity accounted for 34.9 per cent of the stated major reasons among males who had been enrolled but were no longer attending, while domestic activity accounted for 31.9 per cent among females. Financial constraints were also prominent, and marriage appeared as a significant stated reason among women. Urban patterns similarly showed high economic engagement among men and domestic activity and marriage among women. These findings reinforce the point that non completion cannot be treated purely as an academic problem. Household labour, income needs, care work, gender expectations and financial constraints can determine whether a student remains enrolled even when academic performance is satisfactory. [4]
AISHE enrolment statistics, parliamentary withdrawal counts, NSS household responses and OECD completion rates measure different populations and different outcomes. They should not be merged into a single dropout percentage. The sound conclusion is narrower: India has strong and improving information on access, evidence that substantial student departure occurs, and several sources indicating financial, academic, social and personal causes, but it still needs a harmonised national cohort completion system before precise national dropout rates can be stated with confidence.
Why Students Leave
Student departure is usually cumulative rather than instantaneous. Financial pressure is often wider than tuition alone. A family must meet hostel charges, transport costs, examination fees, books, digital devices, food and the opportunity cost of keeping a young adult in education rather than paid employment. A scholarship that arrives after an examination registration deadline may be formally available but practically ineffective. Academic causes are similarly layered. Students may enter a programme because of rank based counselling rather than genuine interest, then discover that the subject, workload or professional destination does not suit them. Others face a difficult transition from regional language or state board schooling into faster, English dominant university instruction. A failed internal assessment may lead to backlogs, a backlog may delay progression, and accumulated failure may eventually make continuation financially and psychologically unattractive. The useful institutional question is not whether a student was academically weak, but whether the warning was visible early enough for reasonable academic support to have changed the outcome. Course counselling, foundation teaching, assessment feedback and accessible supplementary examinations can therefore be retention measures rather than merely academic conveniences.
Social exclusion can produce the same result through a different route. Ragging, caste based hostility, gender based harassment, disability related exclusion, language stigma, isolation of first generation learners and an unresponsive grievance system can make formal admission meaningless. Family duties, safety concerns and marriage pressure may operate particularly strongly for women, while inaccessible buildings, digital platforms or examination arrangements can prevent students with disabilities from participating on equal terms. Mental health difficulties may interact with all these factors rather than exist as a separate category. A student facing debt, repeated failure and social isolation may record only “personal reasons” on a withdrawal form even though the departure arose from several institutional and structural pressures. That is why exit forms alone produce poor evidence unless accompanied by a supportive conversation and standardised coding. The causes should be understood as an interacting risk system in which financial vulnerability, academic difficulty, weak belonging and institutional barriers can reinforce one another. The prevention strategy must consequently involve admissions, departments, finance offices, hostels, counselling services, grievance bodies, disability support and senior administration rather than assigning the entire problem to a student welfare office.
The strongest recurring themes across official Indian data, institutional explanations and international completion research are financial pressure, mismatch between student expectations and programme demands, inadequate academic preparation, weak support, domestic or economic responsibilities and difficulties arising during educational transitions. Not every factor has the same importance in every institution, which is why universities should analyse their own cohort data rather than importing a universal explanation.
Legal and Regulatory Framework
Constitutional foundation and the limits of the right to higher education
The Constitution gives education a strong normative position, although higher education is not guaranteed in the same manner as elementary education under Article 21A. Article 41 directs the State, within the limits of its economic capacity and development, to make effective provision for securing the right to education, while Article 46 requires special care for the educational and economic interests of weaker sections, particularly Scheduled Castes and Scheduled Tribes. In Unni Krishnan, J.P. v. State of Andhra Pradesh, (1993) 1 SCC 645, the Supreme Court recognised education as flowing from Article 21 while drawing an important distinction after the age for which free education was constitutionally required. Subsequent constitutional development inserted Article 21A for children between six and fourteen years. The legal consequence for higher education is that retention policy does not rest on a general individual fundamental right to a university degree. Instead, obligations arise through equality principles, non discrimination, disability law, statutory regulation, contractual and prospectus obligations, mental health duties and specific judicial directions. Retention therefore sits at the intersection of constitutional values and regulatory governance rather than within one self contained statutory right. [20]
Mental health after Sukdeb Saha
A major legal development occurred on 25 July 2025 in Sukdeb Saha v. State of Andhra Pradesh, 2025 SCC OnLine SC 1515. The Supreme Court issued binding interim guidelines under Articles 32 and 141 addressing student mental health and suicide prevention across educational institutions. Among other requirements, institutions are directed to adopt a mental health policy, make it publicly accessible and review it annually. Institutions with 100 or more students must appoint or engage at least one qualified counsellor, psychologist or social worker with relevant mental health training, while smaller institutions must establish formal referral arrangements. The judgment also calls for mentor support, staff training, confidential grievance mechanisms, referral protocols, parent sensitisation and protection against harmful practices such as public shaming and inappropriate performance based segregation. The directions apply across public and private schools, colleges, universities, coaching centres, residential academies and hostels. This is highly relevant to retention because student wellbeing is no longer merely a desirable welfare service where the judgment applies, but part of an enforceable interim protective framework pending appropriate legislation or regulation. [6]
The broader institutional framework is still developing. On 24 March 2025 the Supreme Court constituted a National Task Force on student mental health and suicide prevention in higher educational institutions under the chairmanship of former Supreme Court judge Justice S. Ravindra Bhat. By June 2026, the Ministry of Education reported that the Task Force had conducted field visits to 30 higher educational institutions across ten States and held 25 stakeholder consultations, including work on caste discrimination, disability, gender, Scheduled Tribe and Other Backward Class students, law students and mental health services. The Supreme Court allowed the Task Force until 31 October 2026 to submit its final report. Therefore, as of 19 September 2026, the policy environment remains transitional: the Sukdeb Saha directions are operative, while the Task Force’s final recommendations are still awaited. Institutions should consequently avoid treating existing mental health arrangements as settled compliance. They need documentation capable of showing whether counselling access, referral systems, staff training, grievance processes and annual reporting actually operate in practice rather than existing only in a written policy. [7]
Equity, discrimination and the current 2026 litigation
The regulatory position on campus equity requires particular care because it changed during 2026 and remains under judicial consideration. The UGC had long operated the University Grants Commission (Promotion of Equity in Higher Educational Institutions) Regulations, 2012, which established an institutional framework for preventing discrimination and promoting equality. The UGC notified replacement Promotion of Equity in Higher Education Institutions Regulations on 13 January 2026. Those regulations were challenged, and the Supreme Court kept them in abeyance on 29 January 2026. On 20 August 2026, in Abeda Salim Tadvi v. Union of India, W.P. (C) No. 1149 of 2019 and connected matters, the Court recorded the Solicitor General’s statement that the regulations were under active consideration, permitted the UGC to file a comprehensive counter affidavit, and listed the matters for further consideration on 5 November 2026. Consequently, the 2026 framework should not be described as presently operative. For institutional compliance in September 2026, the 2012 equity regime continues to be the relevant regulatory baseline while the challenge to the 2026 regulations remains pending. [8] [9] [10]
Ragging, grievances and disability rights
Other regulatory duties directly influence whether vulnerable students remain in education. The UGC Regulations on Curbing the Menace of Ragging in Higher Educational Institutions, 2009 require preventive and enforcement mechanisms and remain especially important during the first semester, when students are adapting to unfamiliar social and academic environments. The University Grants Commission (Redressal of Grievances of Students) Regulations, 2023 provide a structured grievance framework involving institutional Student Grievance Redressal Committees and university Ombudspersons and cover matters including admissions, fees, examinations, scholarships, discrimination and delay or denial of refunds due under applicable rules. Disability law creates another non negotiable dimension. Section 32 of the Rights of Persons with Disabilities Act, 2016 requires government higher educational institutions and government aided higher educational institutions to reserve not less than five per cent of seats for persons with benchmark disabilities. Admission, however, cannot achieve substantive inclusion if teaching materials, buildings, digital systems and examinations remain inaccessible. Accessibility failures can convert a successful admission into a predictable withdrawal, making reasonable institutional accommodation an essential component of retention rather than an issue separate from it. [11] [12] [15]
Institutions should presently monitor at least five separate compliance areas: the binding interim mental health directions in Sukdeb Saha; the continuing 2012 equity regulations while the 2026 replacement remains in abeyance; the 2009 anti ragging regulations; the 2023 student grievance regulations; and disability related duties under the Rights of Persons with Disabilities Act, 2016. These frameworks overlap in practice because the same student may simultaneously face academic failure, discrimination, financial difficulty and psychological distress.
Academic Measures for Prevention and Recovery
The strongest academic intervention begins before a student fails. Institutions should provide realistic course counselling at admission, including the nature of the curriculum, language demands, professional outcomes, expected weekly workload, assessment pattern and progression rules. Once teaching begins, first semester foundation support can address academic writing, subject vocabulary, quantitative skills, digital learning, legal or scientific research methods and the basic mechanics of university assessment. Such programmes should not label students as deficient. They should be designed as transition support available to any student who needs it. Faculty members should receive early information about repeated absence, missing internal assessments or abrupt deterioration in performance and should have a defined referral route. A mentor who merely signs a form once per semester is unlikely to influence retention. A functioning mentoring system requires manageable groups, scheduled contact, records of referrals and the ability to connect students quickly with academic, financial or counselling support. Retention succeeds when academic difficulty is detected while it is still a solvable teaching problem, rather than after backlogs, fee arrears and loss of confidence have accumulated.
Curriculum flexibility can also reduce the cost of a mistaken choice. NEP 2020 supports flexible undergraduate structures and recognises multiple exit possibilities with appropriate certification, including a certificate after one year and a diploma after two years within the envisaged multidisciplinary undergraduate framework. The Academic Bank of Credits Regulations, 2021 provide a digital mechanism for academic credit accumulation, recognition, transfer and redemption within the applicable regulatory structure. These reforms can convert some former dropouts into students with recognised learning and a possible route back. Their effectiveness, however, depends on implementation. Students need to know whether a programme actually permits multiple entry or exit, whether the relevant credits are valid for transfer, whether an institution will admit a returning student, whether seats are available and whether professional council rules apply. Integrated professional programmes may be governed by sector specific requirements that cannot simply be replaced by general UGC flexibility. Institutions should therefore publish precise programme specific rules rather than advertising multiple entry and exit as a universal promise. A recognised exit is valuable only when its academic status, credit portability and re entry conditions are clear. [2] [13]
Assessment design is another retention instrument. A system dominated by one high stakes examination may identify failure only after a semester is effectively over. Well designed continuous assessment, quick feedback, tutorial support and timely supplementary opportunities can reveal difficulties sooner. This does not require lowering standards. The objective is to separate academic standards from unnecessary procedural rigidity. If a student has failed one course, the system should ask whether progression can continue while the deficiency is corrected, rather than allowing one backlog to trigger a cascading delay across an entire programme. Similarly, bilingual glossaries, subject terminology support and reasonable use of Indian languages where the applicable rules permit can reduce the risk that language proficiency becomes a substitute test for conceptual understanding. NEP 2020 itself places substantial emphasis on multilingualism and on programmes using Indian languages or bilingual approaches. The academically sustainable model therefore combines standards with multiple opportunities to demonstrate learning, transparent feedback and structured support during transitions, rather than equating rigour with inflexibility. [2]
Administrative and Financial Measures
An institution’s finance office can be as important to retention as its academic departments. Financial departure frequently arises from timing rather than total annual cost. A student may technically qualify for a scholarship but be unable to pay an examination fee before the scholarship is released. Universities can reduce such exits through instalment arrangements, temporary fee deferment against sanctioned scholarships, clearly publicised emergency assistance and dedicated staff who help students correct scholarship documentation. Small emergency grants can be particularly useful where the amount separating a student from continuation is modest. Such grants need objective eligibility criteria, records and safeguards against arbitrary distribution, but they can often prevent a temporary cash problem from becoming permanent withdrawal. Fee refund rules also matter because they make course correction possible. A student who recognises within the permissible period that a programme is unsuitable should not be financially trapped into remaining. The 2023 grievance regulations expressly recognise fee related and refund related grievances within the student redressal framework. A financially sustainable retention policy should therefore distinguish long term affordability from short term liquidity and should provide a remedy for both. [11]
PM Vidyalaxmi illustrates both the potential and the limits of national financial support. The scheme was approved in November 2024 to facilitate collateral free and guarantor free education loans for eligible students admitted on merit to designated Quality Higher Educational Institutions. The original launch referred to 860 qualifying institutions, but the coverage has since expanded. An official Ministry of Education release in August 2026 stated that 1,425 QHEIs were then covered. Loans up to ₹7.5 lakh receive a 75 per cent government credit guarantee, and students with annual family income up to ₹8 lakh may be eligible for a 3 per cent interest subvention on loans up to ₹10 lakh, subject to the scheme’s conditions. The Ministry also states that there is no general maximum education loan amount under the scheme itself, because the amount depends on eligible educational and associated expenses. Up to one lakh fresh students each year are intended to receive the 3 per cent interest subvention, with an outlay of ₹3,600 crore from 2024 to 2025 through 2030 to 2031 for the interest subvention component. This is an important access measure, but it does not replace need based grants, timely scholarships or institutional emergency aid, particularly for students studying outside designated QHEIs. [14]
Administrative retention also depends on what happens when a student asks to withdraw. Instead of treating withdrawal as a clerical transaction, an institution should provide a short, non coercive exit conversation in which a trained officer determines whether the difficulty could be addressed through temporary leave, fee instalment, course change, disability accommodation, counselling, hostel transfer, grievance redress or academic support. The student must remain free to leave, and the process should never become a barrier to obtaining certificates or refunds. Its purpose is to ensure that avoidable departures are not processed without offering an available remedy. The reasons should then be recorded through standard categories that distinguish transfer, employment, academic difficulty, financial difficulty, health, family responsibility, discrimination, safety, course mismatch, disciplinary removal, recognised exit and unknown cause. Over time, these records can reveal institutional patterns. If one programme shows repeated first semester withdrawal after a particular foundation course, or one hostel generates disproportionate complaints, the data identify a management problem rather than a series of unrelated personal decisions.
Early Warning Systems and Responsible Data Use
Early warning does not necessarily require artificial intelligence. Institutions already hold information on attendance, internal assessment, fee dues, course registration, backlog accumulation and hostel status. A carefully designed rule based system could identify a student who, for example, misses several classes, fails to submit two assessments and has an unresolved fee payment problem during the first month. The response should be supportive contact from a mentor or student services officer rather than an automated disciplinary notice. Georgia State University in the United States offers a frequently cited example of a more advanced model. Its GPS Advising system uses more than 800 academic alerts to monitor undergraduate progress and prompts advisers to intervene. The university reports that the system went live in 2012, generated more than 55,000 individual adviser meetings in a recent academic year and was associated with a five percentage point rise in freshman fall to spring retention after implementation. These are institutional claims from Georgia State, not controlled experimental proof that predictive analytics alone produced the outcome, and they should be interpreted accordingly. [18]
Predictive systems also raise serious questions about privacy, fairness and autonomy. The Hechinger Report has documented concerns that students may not know how their records are being used, that risk models can reproduce patterns embedded in historical data and that an algorithmic prediction can narrow educational choices rather than expand them. An Indian institution should therefore resist the temptation to purchase complex predictive software before defining the educational problem. The Digital Personal Data Protection Act, 2023 provides the statutory framework for processing digital personal data and emphasises lawful purposes and protection of individuals’ personal data. Any retention system should collect only information genuinely needed for student support, specify access controls, minimise retention periods, document the purpose of processing and prevent risk scores from becoming disciplinary labels. Sensitive student circumstances should not be unnecessarily circulated among faculty or administrators. The ethical test is whether data create an opportunity for timely human support, not whether an institution can technically predict which student may leave. A simple transparent alert with a trained adviser may be preferable to an opaque model that produces a sophisticated score without an effective intervention. [16] [19]
An early warning indicator should never become a permanent label attached to a student’s character, intelligence or motivation. Risk indicators are administrative signals, not findings of fact. Institutions should test false positives, record whether interventions actually help, provide human review and ensure that students are not denied opportunities merely because historical data associate their background or academic pathway with lower completion rates.
Major Debates and Competing Viewpoints
One debate concerns whether a high dropout figure necessarily proves institutional failure. The answer is no. Some departures are rational and beneficial. A doctoral candidate who accepts a suitable job, a student who transfers to a preferred university, or a learner who leaves with an intended intermediate qualification should not automatically be classified with a student forced out by debt or discrimination. Excessive pressure to maximise institutional retention can itself become harmful if universities make it difficult for students to transfer, delay refunds or encourage students to remain in programmes that no longer suit them. Completion metrics must therefore be designed carefully. Institutions should be rewarded for supporting genuine completion and successful mobility, not for artificially suppressing withdrawal statistics. At the same time, the existence of legitimate departures cannot justify ignoring avoidable attrition. The correct policy objective is not zero withdrawal but minimum preventable loss of educational opportunity. That requires classification of outcomes, not institutional pressure to keep every admitted student on the original programme at any cost.
A second debate concerns responsibility. One view treats university students as adults who must take responsibility for attendance, study choices and performance. Another emphasises structural inequality and institutional duty. These positions need not be mutually exclusive. Students retain agency and cannot be guaranteed a qualification irrespective of academic standards, but institutions control the curriculum, assessment design, grievance system, hostel environment, scholarship processing, disability arrangements and much of the information available at admission. Responsibility should therefore be allocated according to control. A university cannot reasonably be blamed when an adequately supported student independently chooses another career, but it can be asked why repeated complaints of harassment were ignored or why a scholarship delay known to administration prevented examination registration. The same principle applies to mental health. Universities are not substitutes for hospitals, yet Sukdeb Saha makes clear that they cannot disregard foreseeable student distress and institutional conditions that increase risk. Accountability should focus on whether reasonable systems existed, whether warning signs were acted upon and whether students could actually access the support advertised to them. [6]
A third debate concerns whether flexible exit options solve or merely rename dropout. Multiple entry and exit can protect students by recognising completed learning and creating a path back into education. Yet a certificate awarded after one year is not automatically equivalent in labour market value to completion of the degree originally sought. There is a risk that disadvantaged students may disproportionately use early exit routes because of financial pressure while wealthier students complete longer programmes. If that occurs, formal flexibility could coexist with substantive inequality. The answer is not to reject multiple exit, but to study who uses it and why. Universities should report whether students taking early credentials later return, whether those credentials lead to employment, and whether social or financial groups are disproportionately represented among early exits. A flexible pathway should expand choice rather than institutionalise unequal expectations. This is an area where India requires longitudinal evidence before strong claims about the success of multiple entry and exit can be made.
Institutional Testing and Evaluation Framework
A university that wants to reduce avoidable dropout should begin by establishing a measurable baseline rather than launching disconnected welfare programmes. Each admitted cohort should receive a unique academic tracking identifier that allows the institution to determine status at the end of every semester without publicly identifying individual students. The minimum outcome categories should be continuing normally, continuing with backlog, temporarily on authorised leave, transferred internally, transferred externally, earned intermediate exit, completed on time, completed late, withdrawn without qualification, academically discontinued, and status unknown. Each withdrawal should also receive one primary reason and, where appropriate, secondary contributing reasons. The institution should then calculate first semester continuation, first year retention, programme completion within normal duration, delayed completion, transfer out and uncredentialled departure. These figures should be examined by programme and lawful equity categories. The purpose is diagnosis, not ranking students. An institution should be able to say not merely that 40 students left, but that a particular proportion left during a specific stage, for identifiable reasons, after particular warnings, and with or without a support intervention.
| Stage | Measure | Responsible unit | Evidence to retain |
|---|---|---|---|
| Before admission | Programme counselling, workload disclosure, cost information and progression rules | Admissions and departments | Counselling material, prospectus and applicant information |
| First month | Mentor allocation, anti ragging enforcement and initial financial risk check | Departments, student welfare and finance | Mentor records, complaints and support referrals |
| First semester | Foundation support and alerts for repeated absence, missed assessment or fee difficulty | Academic departments and IQAC | Intervention dates and outcomes |
| Throughout programme | Counselling, disability accommodation, grievance redress and scholarship support | Student services and statutory committees | De identified service utilisation data |
| At withdrawal | Non coercive exit interview, credit statement and available re entry information | Registrar and examination branch | Reason code, credits earned and destination where known |
| After exit | Permitted re entry outreach and information on recognised credit | Registrar and academic section | Return rate and credit redemption data |
| Annually | Cohort completion report and programme specific review | IQAC and governing bodies | Published aggregated indicators and action taken report |
Evaluation should distinguish activity from effectiveness. A university can report that it conducted twenty counselling programmes, yet that figure does not show whether students could obtain confidential appointments when needed. It can report that every student has a mentor, yet that does not show whether mentors actually meet students or make referrals. It can claim an early warning system exists, yet the key question is how many alerts generated a timely intervention and whether supported students were more likely to continue than comparable students who did not receive support. Institutions should therefore use a hierarchy of evidence. At the lowest level is the existence of a policy. The next level is implementation data, such as staffing and service use. A stronger level measures educational outcomes before and after an intervention. Stronger still is a carefully designed comparison that controls for relevant differences between student groups. Institutional claims should be labelled according to the strength of the evidence supporting them, especially when universities describe a programme as having “reduced dropout” or “eliminated an achievement gap.”
Policy Opportunities for India
India’s most important opportunity is to build a national completion architecture alongside AISHE. The Ministry already has an extensive institutional reporting system, while universities increasingly use digital admission, examination and academic credit platforms. A carefully designed reporting module could require institutions to submit cohort outcomes at defined intervals, using common definitions of transfer, stop out, recognised exit and permanent departure. The objective should not be an immediate public league table because institutions serve different student populations and programme types. The first stage should establish reliable national measurement. Once data quality is sufficiently strong, regulators could publish completion indicators with context, including institution type, programme duration and student composition. Accreditation and quality assurance can then examine not simply whether students graduate, but whether institutions understand their own attrition patterns and act on them. NIRF already includes Graduation Outcomes as a major parameter, demonstrating that completion is recognised as an element of institutional performance. A more sophisticated national retention framework could build on this principle while avoiding simplistic comparisons. [17]
The second opportunity is to make the first year a nationally recognised retention priority. International completion research and Indian institutional explanations both suggest that transition problems, wrong course choice, academic preparedness and belonging matter early. Universities could be encouraged to establish first year support protocols combining programme orientation, foundation modules, mentor contact, anti ragging vigilance, scholarship assistance and early assessment feedback. Such protocols need not require identical teaching across India. A rural affiliated college, a metropolitan private university and an IIT will have different student populations and resources. The regulator can specify outcomes rather than one administrative model. For example, every institution might be required to show how it identifies academic risk, how a student accesses financial advice, how mental health referrals operate and how withdrawal reasons are recorded. This approach would preserve institutional autonomy while creating a minimum standard of student protection. Retention policy should define what a student must be able to access, while allowing institutions to choose how that access is organised.
The third opportunity is to strengthen financial continuity without assuming that loans alone solve affordability. PM Vidyalaxmi expands access to education finance for eligible students in designated institutions, but retention policy should also address scholarship timing, fee instalments, emergency assistance and low value arrears that can interrupt progression. Central and State scholarship portals could eventually be linked, subject to lawful data governance, with institutional academic calendars so that delays affecting examination eligibility are identified before deadlines expire. Universities could create small student continuation funds from alumni contributions, philanthropy or permitted corporate social responsibility support, with transparent criteria and independent audit. Another possibility is a nationally recommended hardship protocol under which institutions temporarily defer specified payments when a government scholarship has been sanctioned but not yet disbursed. The policy objective should be to prevent administrative timing from converting an eligible student into a dropout, while preserving financial accountability and preventing misuse.
Research Opportunities for Universities
Indian universities themselves can produce much of the evidence presently missing from national debate. A strong research programme would follow successive admission cohorts for several years and compare completion, delayed completion, transfer and uncredentialled departure. Researchers could examine whether the first semester has a distinct risk pattern, whether scholarship delays predict later withdrawal, how language of prior schooling affects early assessment, whether hostel residence improves or worsens retention, and whether course changes prevent permanent exit. Qualitative work is equally important because administrative categories often conceal the sequence through which students disengage. Interviews with students who left, students who returned, faculty mentors, counsellors, parents and administrative staff can reveal whether formal reasons such as “personal grounds” mask debt, discrimination, mental distress or family pressure. Mixed methods research would therefore be particularly valuable. Quantitative records can identify where attrition concentrates, while qualitative research can explain the institutional processes through which that attrition occurs. Universities should obtain appropriate ethics approval, minimise collection of sensitive information and avoid turning research participation into a condition of receiving student services.
Several research questions are especially suitable for Indian conditions. One is whether multiple entry and exit pathways function as genuine second chances or become disproportionately used by economically vulnerable students. Another is whether first generation learners benefit more from structured mentoring than students whose families already understand higher education systems. A third concerns legal education, where national data are particularly fragmented because National Law Universities are state universities and integrated professional programmes operate within regulatory structures that may differ from general UGC academic flexibility. Researchers could also study disability related attrition, the impact of safe transport and women’s hostels, the relationship between internal assessment design and backlog accumulation, and the effectiveness of grievance mechanisms. Mental health research will become particularly important after the National Task Force submits its final report. Studies should distinguish prevalence research from intervention research and should not infer a clinical diagnosis from ordinary academic or administrative data. The most valuable contribution universities can make is not another general list of dropout causes, but rigorous evidence showing which interventions work, for whom, under what institutional conditions and at what cost.
Useful projects include national and State level cohort completion studies, comparative studies of public and private institutions, longitudinal research on re entry after temporary interruption, labour market outcomes of intermediate undergraduate credentials, scholarship timing and persistence, first year language transition, retention among students with disabilities, grievance resolution and continuation, mentoring effectiveness, privacy preserving early warning systems, and the relationship between institutional climate, discrimination and student departure.
Future Directions
The next stage of Indian higher education policy should move from an access centred model to an access plus completion plus mobility model. This does not mean reducing the importance of GER. A country with a large young population must continue expanding participation, particularly in regions and communities where access remains low. It means that enrolment should be paired with indicators describing what happens afterwards. A mature system would permit policymakers to answer how many students complete within normal time, how many complete later, how many transfer successfully, how many use recognised exits, how many return after interruption and how many disappear from higher education without a credential. The system should also record institutional support without creating an intrusive national profile of individual students. Aggregated and privacy conscious reporting can provide accountability while avoiding unnecessary centralisation of sensitive personal information. As India’s digital academic infrastructure develops, interoperability between academic credits and institutional records could make such tracking technically easier, but legal and ethical safeguards must develop at the same pace.
Several developments after 2026 will require close attention. The National Task Force on student mental health is due to submit its final report by 31 October 2026 under the extension reported by the Ministry of Education. The Supreme Court has listed the litigation concerning the 2026 UGC equity regulations for further consideration on 5 November 2026. Both processes may significantly affect institutional duties relating to student wellbeing, discrimination, accountability and campus governance. Universities should therefore avoid designing compliance systems around temporary assumptions. They should instead build adaptable structures based on clear responsibilities, evidence preservation and regular legal review. The same principle applies to emerging data driven student support. New technology may improve early identification, but no predictive model can compensate for absent counsellors, inaccessible grievance bodies, delayed scholarships or poor teaching. The future of retention will depend less on a single technology or regulation than on whether institutions coordinate academic, financial, legal and welfare systems around the actual trajectory of a student. [7] [10]
Conclusion
Student dropout in higher education is not one problem and should not be measured with one undifferentiated number. India has expanded access substantially, with 4.50 crore students enrolled and a GER of 30 in 2023 to 2024, while participation of women and historically underrepresented social groups has improved. The next challenge is to ensure that these gains produce durable educational outcomes. That requires distinguishing transfers, temporary interruptions and recognised exits from permanent uncredentialled departure; building cohort based completion data; identifying first year academic and financial risk; enforcing protections against ragging, discrimination and inaccessibility; complying with the developing mental health framework; improving grievance redress; and providing realistic routes for credit recognition and re entry. The legal environment already gives institutions significant responsibilities, particularly after Sukdeb Saha v. State of Andhra Pradesh, 2025 SCC OnLine SC 1515, while the pending UGC equity litigation and National Task Force process show that the regulatory framework is still evolving. The practical lesson is straightforward: most preventable departures leave signals before the final withdrawal form is signed. A missed scholarship, repeated absence, a failed assessment, an unresolved grievance or an inaccessible classroom can each become part of a chain leading out of education. Sustainable higher education therefore requires institutions to count completion as seriously as admission, identify risk without stigmatising students, intervene early, preserve academic standards, respect student autonomy and create credible routes back for those whose education is interrupted rather than abandoned.
Reports and Research Sources
- Ministry of Education, Government of India, Union Ministry for Education Releases Reports of the All India Survey on Higher Education (AISHE): 2022 to 2023 and 2023 to 2024, Press Information Bureau, 8 July 2026. Official source.
- Ministry of Education, Government of India, National Education Policy 2020, Government of India, 2020. Official policy document.
- Organisation for Economic Co operation and Development, Education at a Glance 2025: Who Is Expected to Complete Tertiary Education?, OECD Publishing, 2025. OECD source.
- National Statistical Office, Ministry of Statistics and Programme Implementation, Government of India, Household Social Consumption on Education in India, NSS 75th Round, July 2017 to June 2018, Report No. 585, Government of India. Official report.
- Deccan Herald, reporting Ministry of Education data placed before Parliament, Over 13,600 SC, ST and OBC Students Dropped Out of Central Varsities, IITs, IIMs in Five Years, Deccan Herald, 2023. Report of parliamentary data.
- Supreme Court of India, Sukdeb Saha v. State of Andhra Pradesh, 2025 SCC OnLine SC 1515, judgment dated 25 July 2025. Supreme Court document.
- Ministry of Education, Government of India, National Task Force on Mental Health of Students and Prevention of Suicides in Higher Education Institutions Conducts Field Visits to 30 HEIs Across 10 States Since May 2025, Press Information Bureau, 30 June 2026. Official status update.
- University Grants Commission, University Grants Commission (Promotion of Equity in Higher Educational Institutions) Regulations, 2012, UGC, 2012. UGC Compendium.
- University Grants Commission, University Grants Commission (Promotion of Equity in Higher Education Institutions) Regulations, 2026, notified 13 January 2026. UGC regulations portal.
- Supreme Court of India, Abeda Salim Tadvi v. Union of India, W.P. (C) No. 1149 of 2019 and connected matters, order dated 20 August 2026. Order text.
- University Grants Commission, University Grants Commission (Redressal of Grievances of Students) Regulations, 2023, UGC, 2023. UGC student regulations.
- University Grants Commission, UGC Regulations on Curbing the Menace of Ragging in Higher Educational Institutions, 2009, UGC, 2009. UGC Compendium.
- University Grants Commission, University Grants Commission (Establishment and Operation of Academic Bank of Credits in Higher Education) Regulations, 2021, UGC, 2021. UGC Compendium.
- Ministry of Education, Government of India, PM Vidyalaxmi: Expanding Access to Higher Education Through Collateral Free and Guarantor Free Education Loans, Press Information Bureau, August 2026. Official current scheme information.
- Parliament of India, The Rights of Persons with Disabilities Act, 2016, Act No. 49 of 2016, Government of India. India Code.
- Parliament of India, The Digital Personal Data Protection Act, 2023, Act No. 22 of 2023, Government of India. India Code.
- Ministry of Education, Government of India, National Institutional Ranking Framework: Ranking Parameters, NIRF. Official NIRF source.
- Georgia State University, GPS Advising: A Strategic Approach, Student Success Initiatives, Georgia State University. Institutional source.
- Jill Barshay and Sasha Aslanian, Colleges Are Using Big Data to Track Students in an Effort to Boost Graduation Rates, but It Comes at a Cost, The Hechinger Report, 2019, updated 2021. Research journalism source.
- Supreme Court of India, discussion of Unni Krishnan, J.P. v. State of Andhra Pradesh, (1993) 1 SCC 645 and the constitutional development of the right to education. Supreme Court source.


