Preparing Future Teachers for Inclusive Education: An Analysis of Curricular Deficits and Competency Perceptions in Romania
Abstract
1. Introduction
2. Global Perspectives and Best Practice Models
2.1. The Multi-Dimensional Architecture of Teacher Competencies for Inclusive Education
2.2. Comparative Pedagogical Models and the Shift Toward Transformative Professional Learning
2.3. National Characteristics and Financing Systems
3. Research on the Degree of Competence/Training in the SEND Field of Student Teachers
3.1. Research Objectives
3.2. Research Methodology and Sample
3.2.1. Systematic Content Analysis (Addressing Objective 1)
- Corpus Selection: The unit of analysis was defined as the “learning outcomes” and “content themes” sections within the mandatory curricula for the psycho-pedagogical module (30 ECTS for Level I, 30 ECTS for Level II).
- Keyword Coding (Quantitative): A primary scan was conducted for explicit terms: ‘Special Educational Needs (SEN)’, ‘inclusion’, ‘differentiated instruction’, ‘Universal Design for Learning (UDL)’.
- Depth Rating (Qualitative): To address the research questions, identified themes were rated on a Competency Depth Scale (0–2) to distinguish between theoretical awareness and practical application (see Table 3).
3.2.2. Research Instrument (Addressing Objectives 2 and 3)
3.2.3. Sample
3.2.4. Data Analysis and Statistical Controls
3.3. Results
3.3.1. Results for Objective 1: Curriculum Analysis
3.3.2. Results for Objective 2: Student Perceptions and Competence
3.3.3. Strategies for Improving Student Teachers’ Competencies for Inclusive Education
- Practical aspects:
- -
- Increase internships and direct interactions with students with SEN, including case studies and workshops.
- Curriculum:
- -
- Add courses on differentiated instruction, integrate SEN themes into existing programs, and deepen knowledge of SEN types.
- Methods and tools:
- -
- Improve diagnostic and assessment skills, adapt curricula, and personalize learning.
- Resources and technology:
- -
- Use educational tech and create needs-based resources.
- Collaboration:
- -
- Meet with SEN specialists, learn parent communication, and form multidisciplinary teams.
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ADA | Americans with Disabilities Act |
| ADD | Attention Deficit Disorder |
| ADHD | Attention Deficit Hyperactivity Disorder |
| ANCOVA | Analysis of Covariance |
| ANOVA | Analysis of Variance |
| CBTE | Competency-Based Teacher Education |
| CRPD | Convention on the Rights of Persons with Disabilities |
| DSA | Disabled Students’ Allowance |
| EASNIE | European Agency for Special Needs and Inclusive Education |
| EASIE | European Agency Statistics on Inclusive Education |
| EHC | Education, Health and Care (Plan) |
| EU | European Union |
| GDP | Gross Domestic Product |
| ICF | International Classification of Functioning, Disability and Health |
| ISCED | International Standard Classification of Education |
| OECD | Organization for Economic Co-operation and Development |
| SDG 4 | Sustainable Development Goal 4 |
| SEN | Special Educational Needs |
| SEND | Special Educational Needs and Disability |
| UK | United Kingdom |
| UNESCO | United Nations Educational, Scientific, and Cultural Organization |
| UTS | University of Technology Sydney |
Appendix A. Short Questionnaire on Student Teachers’ Perceptions of Competence for Differentiated Instruction
Appendix A.1. Introductory Note
Appendix A.1.1. Expectations and General Perception
- Q1. As a future teacher, do you think you will have students with Special Educational Needs (SEN)?(Select one.)
- Q2. How important is the issue of students with SEN for you as a future teacher?
- Q3. To what extent do you consider that your initial teacher education program has prepared you to work with students with SEN?
Appendix A.1.2. Self-Perceived Competencies (Knowledge, Skills, Attitudes)
- Response scale for Q4–Q12:
- Q4. I know what Special Educational Needs (SEN) mean.Q5. I know what differentiated instruction means.Q6. I can design differentiated instructional activities for students with diverse learning needs.Q7. I can adapt teaching strategies to the different needs of students.Q8. I can assess individual academic progress inclusively.Q9. I feel confident using digital tools to support differentiated instruction.Q10. I feel capable of managing teaching and learning situations in a diverse classroom.Q11. I know how to communicate and cooperate with families of students with SEN.Q12. I know how to communicate and cooperate with other teachers and school staff in the best interest of students with SEN.
Appendix A.1.3. Improvement Needs and Suggestions
- Q13. Overall, how would you rate your need for additional training on SEN and differentiated instruction?
- Q14. How effective do you think the following measures would be for improving initial teacher education programs regarding SEN?
- Q15. Please mention one concrete suggestion for improving initial teacher education programs in relation to SEN and differentiated instruction.(Open-ended.)
Appendix B. ANCOVA Results for Specific Pedagogical Competencies (Differentiated Instruction)
| Source | Type III Sum of Squares (SS) | df | Mean Square (MS) | F | p-Value | Partial Eta Squared (η2p) |
| Corrected model | 12.45 | 2 | 6.22 | 4.15 | 0.016 | 0.025 |
| Intercept | 845.20 | 1 | 845.20 | 563.10 | <0.001 | 0.635 |
| Age (covariate) | 1.85 | 1 | 1.85 | 1.23 | 0.268 | 0.004 |
| Training level | 6.15 | 1 | 6.15 | 4.10 | 0.043 | 0.013 |
| Error | 486.30 | 324 | 1.50 | |||
| Total | 1345.80 | 327 | ||||
| Note: R2 = 0.025 (adjusted R2 = 0.019). The effect of the formal training level is statistically significant (p < 0.05), but the effect size is small (η2p = 0.013), indicating a limited practical impact on technical skills. SS = Sum of Squares; MS = Mean Square; η2p = partial eta squared. R2 = 0.025. p < 0.05. | ||||||
Appendix C. ANCOVA Results for General Adaptive Attributes (Openness to Diversity)
| Source | Type III Sum of Squares (SS) | df | Mean Square (MS) | F | p-Value | Partial Eta Squared (η2p) |
| Corrected model | 28.60 | 2 | 14.30 | 11.20 | <0.001 | 0.065 |
| Intercept | 912.40 | 1 | 912.40 | 715.60 | <0.001 | 0.688 |
| Age (covariate) | 24.15 | 1 | 24.15 | 18.94 | <0.001 | 0.055 |
| Training level | 1.95 | 1 | 1.95 | 1.52 | 0.218 | 0.005 |
| Error | 413.20 | 324 | 1.27 | |||
| Total | 1356.15 | 327 | ||||
| Note: R2 = 0.065 (adjusted R2 = 0.059). Age (representing life experience) is the dominant predictor for general inclusive attitudes (p < 0.001), while the formal Training Level does not show a significant unique contribution when controlling for age. SS = Sum of Squares; MS = Mean Square; η2p = partial eta squared. R2 = 0.059. p < 0.05. | ||||||
Appendix D. Simple Regression Model for the Question: Do You Believe That You Will Have Pupils with SEN in Your Classroom
| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
| Year of study | 0.019077 | 0.007973 | 2.392646 | 0.0173 |
| C | 0.978104 | 0.017719 | 55.20077 | 0.0000 |
| R-squared | 0.017310 | |||
| Adjusted R-squared | 0.014286 | |||
| S.E. of regression | 0.190095 | |||
| Sum squared resid | 11.74420 | |||
| Log likelihood | 79.90630 | |||
| F-statistic | 5.724756 | |||
| Prob(F-statistic) | 0.017295 | |||
| Mean dependent var | 1.012232 | |||
| S.D. dependent var | 0.191467 | |||
| Akaike info criterion | −0.476491 | |||
| Schwarz criterion | −0.453311 | |||
| Hannan–Quinn criterion | −0.467242 | |||
| Durbin–Watson stat | 1.855848 |
Appendix E. Statistical Model with Dependent Variable Skills in Using Digital Tools in Specific Teaching Activities and Independent Variable Age Range
| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
| Year of study | −0.066078 | 0.037922 | −1.742458 | 0.0824 |
| C | 2.889219 | 0.095804 | 30.15756 | 0.0000 |
| R-squared | 0.009256 | |||
| Adjusted R-squared | 0.006207 | |||
| S.E. of regression | 0.838110 | |||
| Sum squared resid | 228.2893 | |||
| Log likelihood | −405.2398 | |||
| F-statistic | 3.036162 | |||
| Prob(F-statistic) | 0.082374 | |||
| Mean dependent var | 2.743119 | |||
| S.D. dependent var | 0.840724 | |||
| Akaike info criterion | 2.490763 | |||
| Schwarz criterion | 2.513943 | |||
| Hannan–Quinn criterion | 2.500012 | |||
| Durbin–Watson stat | 2.131417 |
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| Country | Rate of Early School Leaving Among Persons with Disabilities |
|---|---|
| Finland | 15.4% |
| Sweden | 11.2% |
| Iceland | 16.8% |
| Denmark | 14.5% |
| Romania | 61.6% |
| Model | Allocation Mechanism | Advantages | Risks/Disadvantages |
|---|---|---|---|
| Input | Based on the number of students with a diagnosis (per capita) | Resources follow the student; targeted funds | Incentivizes “label hunting” for funds; favors segregation (Elster, 1992) |
| Throughput | Based on services, region, or total enrollment | Flexibility encourages inter-school collaboration | Funds might not reach the specific student due to a lack of individual accountability |
| Output | Based on results or reduced referrals to special schools | Performance-oriented; efficiency | May penalize schools with high-need students; risk of excluding “low performers” |
| Depth Level | Indicator | Criteria for Coding | Example of Finding (Evidence) |
|---|---|---|---|
| Level 0 | Absent | The inclusive dimension is not mentioned explicitly. | Subject: “classroom management” No mention of managing diverse behaviors or SEN specificities. |
| Level 1 | Theoretical awareness | The concept is mentioned as a definition, principle, or legislation. | Subject: “educational psychology” Outcome: “Defining the concept of SEN.” Critique: Students learn what SEN are, but not how to address them. |
| Level 2 | Operational competence | The curriculum requires the design of instruments, adaptation of lessons, or application of methods. | Subject: “didactics” Outcome: “Designing a lesson plan adapted for students with learning disabilities.” Status: Rarely found in the core curriculum. |
| Age Group | Of Interest to Me as a Future Teacher (%) | Relevant for Education Policy in EU Countries (%) | Important, Because There Are Many People with SEN (%) |
|---|---|---|---|
| 20–24 years old | 77.1% | 21.5% | 1.4% |
| 25–34 years old | 74.4% | 23.3% | 2.3% |
| 35–44 years old | 68.7% | 28.4% | 3.0% |
| Over 45 years old | 65.8% | 27.4% | 6.8% |
| Age Group | To a Very Small Extent | To a Small Extent | To the Right Extent | To a Large Extent | To a Very Large Extent |
|---|---|---|---|---|---|
| 20–24 Years Old | 16.7% | 16.7% | 31.2% | 20.1% | 15.3% |
| 25–34 Years Old | 7.0% | 32.6% | 23.3% | 11.6% | 25.6% |
| 35–44 Years Old | 9.0% | 22.4% | 31.3% | 16.4% | 20.9% |
| Over 45 Years Old | 11.0% | 27.4% | 30.1% | 16.4% | 15.1% |
| Total | 12.5% | 17.4% | 30% | 22.3% | 17. 7% |
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Richiteanu-Nastase, E.-R.; Dumitru, D.; Staiculescu, C. Preparing Future Teachers for Inclusive Education: An Analysis of Curricular Deficits and Competency Perceptions in Romania. Educ. Sci. 2026, 16, 991. https://doi.org/10.3390/educsci16070991
Richiteanu-Nastase E-R, Dumitru D, Staiculescu C. Preparing Future Teachers for Inclusive Education: An Analysis of Curricular Deficits and Competency Perceptions in Romania. Education Sciences. 2026; 16(7):991. https://doi.org/10.3390/educsci16070991
Chicago/Turabian StyleRichiteanu-Nastase, Elena-Ramona, Daniela Dumitru, and Camelia Staiculescu. 2026. "Preparing Future Teachers for Inclusive Education: An Analysis of Curricular Deficits and Competency Perceptions in Romania" Education Sciences 16, no. 7: 991. https://doi.org/10.3390/educsci16070991
APA StyleRichiteanu-Nastase, E.-R., Dumitru, D., & Staiculescu, C. (2026). Preparing Future Teachers for Inclusive Education: An Analysis of Curricular Deficits and Competency Perceptions in Romania. Education Sciences, 16(7), 991. https://doi.org/10.3390/educsci16070991

