Individual Learners, Common Standards

Human variation is not a special case that appears at the edge of an otherwise uniform system. It is the population. Learners differ in prior knowledge, language, sensory access, attention, mobility, memory, health, culture, confidence, time, and the strategies they have learned to use. The same learner varies across settings and across a day. An education system designed around an imagined average creates barriers and then treats the consequences as properties of the people who encountered them.

Universal Design for Learning begins from predictable learner variability and asks designers to create multiple ways to engage, represent information, and act on learning goals. ¹ This does not mean every learner chooses any activity or that standards disappear into preference. It means the goal is separated from accidental features of the route. If the goal is mathematical reasoning, an inaccessible visual layout should not decide who can demonstrate it. If the goal includes reading a technical document under real workplace conditions, reading access is part of the standard and support must be designed accordingly.

Disability exposes the difference between a person and a barrier. A learner may have a stable impairment, but disability in a particular environment emerges from the interaction between that impairment and the design of tools, spaces, communication, and expectations. Assistive technology can change the interaction. So can captioning, predictable structure, extended time, alternative input, explicit instruction, or a quiet space. The relevant question is not whether support makes the task easier in the abstract. It is whether the support removes an irrelevant barrier or removes the capability the task intends to measure.

Genetics requires even greater care. Large genome-wide studies can identify statistical associations between many genetic variants and educational attainment, but the resulting polygenic scores explain only part of variation, are sensitive to ancestry and context, and do not identify a fixed learning potential for an individual. ² Research on “genetic nurture” further demonstrates that parental genotypes can correlate with children’s outcomes through the environments parents create, complicating any simple separation of nature and nurture. ³

For education, the ethical conclusion is not that biology is irrelevant. It is that biological information has weak justification as a gate. A probabilistic association derived from populations cannot tell a teacher what a particular learner can understand next, and it cannot justify reducing opportunity. Direct evidence of the learner’s current work is closer to the educational claim, easier to contest, and more useful for deciding support.

Personalization can honor variation or harden it. A system that adjusts pace, representation, or practice while continuing to test growth can expand access. A system that assigns a learner to a low ceiling based on early performance can convert a temporary state into a permanent path. The difference is whether the model preserves exploration, periodically challenges its own prediction, and allows the learner and teacher to override it.

Leaders should design for variability before requiring people to disclose sensitive information. Captions, clear structure, and accessible representations offer routes that need not depend on a public disclosure. ¹ Providing broad access is my recommendation for reducing the need to prove that one is exceptional enough to deserve a usable environment.

Learning Disabilities and Individual Needs

Understanding Learning Disabilities and Individual Needs

Difference is not an intervention specification. A diagnostic label can identify a need for assessment or support, but it does not tell a school which product works for this learner, on this task, in this setting. A promise aimed at a named group still needs evidence of the promised outcome.

A useful corrective concerns specialist fonts. Kuster and colleagues’ experiments with Dutch children did not find faster or more accurate reading in Dyslexie than in the comparison fonts. Font size and spacing were considered in the design, although typographical matching was not perfect. ⁴ That challenges a promise about the named font. It does not imply that accessible typography, individual preference, or spacing never matters.

Assistive Technologies for Individual Learning Needs

Access and remediation are different aims. A tool might make existing knowledge expressible without changing the underlying reading or writing skill. That can be an important success. It should be reported as access rather than inflated into proof of a general academic improvement.

For a hypothetical learner using speech-to-text, the initial questions would be whether the system captures the intended response, whether corrections are possible, and whether the setting permits comfortable and private use. If the task concerns historical reasoning, an accessible response may reveal that reasoning. If it concerns spelling, the same tool changes the construct. A support should be judged in relation to the claim, not against a ritual of unaided performance.

Specific Strategies for Supporting Learners

My recommendation is to identify a barrier before selecting a solution. Is the difficulty decoding, language comprehension, motor entry, navigation, sensory access, unfamiliar content, or something else? More than one may be present, and the learner’s own account belongs in the investigation.

A focus app should not be presumed effective because it produces a count of completed tasks. Completion, comfort, understanding, and later independent performance are separate outcomes. A school can examine them without attaching a new behavioral label. The aim is to find a usable route and appropriate instruction, not to produce a more detailed record of compliance.

Understanding Special Needs Education

Introduction to Special Needs Education

“Special needs education” is used here as an umbrella term, not a universal legal category or a claim that there is one standard learner surrounded by exceptions. Terminology and legal responsibilities differ across jurisdictions. The substantive question is what specialized instruction, services, accommodations, and access arrangements a learner requires.

The book’s argument about merit must not make support conditional on competitive achievement. A person does not earn dignity, participation, or a legal entitlement by raising a score. The purpose of better evidence is to improve decisions about learning and access, not to restrict whose needs deserve a response.

Types of Special Needs

Disability categories can serve legal and administrative purposes, but a category is not a complete instructional profile. In the United States, IDEA’s evaluation requirements call for information about educational needs, including needs not commonly associated with the category under which a child is classified. They also prohibit relying on a single measure as the sole criterion for eligibility or program determination. ⁵

That is an important constraint on simplified personalization. A label should not automatically select a curriculum, communication mode, or ceiling. Two learners with the same label may need different supports; the same learner may need different supports for different tasks. The required decision is individual and task-specific, not a lookup from category to product.

The Importance of Special Needs Education

Specialized support is not a concession to weaker expectations. It is part of the work of making a legitimate educational opportunity available. A common goal may require different routes. Some goals may also be individualized; the relevant legal and educational decision should be explicit rather than hidden inside a platform’s default settings.

I recommend beginning with participation and the learner’s priorities alongside the instructional goal. What work is currently inaccessible? What opportunity does the learner want? What support has been tried, and how was its effect understood? These questions make the learner a participant in the decision rather than merely the object of professional classification.

Legal Framework for Special Needs Education

In the United States, IDEA establishes obligations concerning eligible children, including a free appropriate public education, individualized education programs, procedural safeguards, and the least restrictive environment. Federal regulations at 34 CFR §§300.101, 300.114, and 300.320 specify parts of that framework. ⁵ These are jurisdiction-specific requirements, not a promise that every child will achieve a particular academic result.

An IEP must state present academic and functional performance, measurable annual goals, services and supports, and how and when progress will be reported. The least-restrictive-environment rules address education with nondisabled peers to the maximum extent appropriate, with removal subject to specified conditions. Leaders should consult applicable law and qualified expertise for individual decisions; this chapter is not a complete legal guide.

The ethical conclusion I draw is separate: an institution should not market compliance as optional generosity or use its preferred delivery model to redefine a learner’s entitlement.

Role of Educators in Special Needs Education

An educator’s task includes interpreting work, designing instruction, coordinating support, and examining whether the plan serves the learner. Technology can assist with particular functions, but a generated recommendation is not a substitute for a defensible instructional decision.

I recommend documenting the purpose of each substantial support. What barrier does it address? What capability remains the goal? How will the team recognize a useful change? Who can revise the plan? This record should be clear enough for the learner and family to question, not merely detailed enough to satisfy a form.

Role of Parents and Families in Special Needs Education

IDEA’s federal IEP-team provisions include parents and specified professional roles; the child participates whenever appropriate, with additional requirements for transition planning. ⁵ Participation is not simply a request that families reinforce an institution’s decisions.

My recommendation is to make participation practically possible. Explain options in intelligible language, invite information about what happens outside school, and distinguish disagreement from non-cooperation. A parent should not need to speak professional jargon to raise a legitimate concern. Equally, family involvement should not become a way to transfer services the institution owes onto unpaid household labor.

Challenges in Special Needs Education

A plan can identify a necessary service while the institution lacks staffing, scheduling, equipment, or expertise to deliver it. That is a problem to name and solve, not a reason to redefine the learner as incapable. A recorded intention and an implemented service are different forms of evidence.

A hypothetical audit could compare the support promised, the support delivered, the opportunity missed, and the action taken when delivery failed. It should ask about burden and participation as well as attainment. Such an audit would not assume that a device purchase or a larger data collection produces improvement.

Future of Special Needs Education

The future should be judged by whether learners obtain better access, instruction, agency, and a fair process, not by the sophistication of the monitoring. A more detailed prediction can still be wrong about the decision that matters.

I recommend requiring any proposed system to explain how its recommendation can be checked and challenged. Learners should have a route to demonstrate capability the model did not predict. Teachers should have authority and responsibility to reject an inaccessible or poorly justified recommendation. Personalization should remain revisable support, not an automated placement verdict.

Effective Strategies and Interventions

Importance of Individualized Strategies

Individualization is a design responsibility, not evidence of efficacy by itself. Two programs can both be called personalized while supplying very different instruction. A plan earns credibility through the fit between the identified need, proposed action, implementation, and relevant evidence.

For an individual learner, the team should define a meaningful goal and the conditions under which progress will be observed. The goal might concern academic knowledge, communication, functional performance, or access. It should not be replaced with whatever a platform already measures most conveniently.

Understanding the Needs of the Student

IDEA’s evaluation regulations at 34 CFR §300.304 require varied tools and strategies, technically sound instruments, and attention to native language or communication mode, subject to the regulation’s feasibility qualification. They also address avoiding irrelevant sensory, manual, or speaking demands in the interpretation of results. ⁵

Those requirements offer a concrete example of the book’s evidence-over-proxies argument. The question is not simply whether a test generates a reliable number. It is whether that number represents the intended capability for this learner and decision. A score can be reproducible and still be a poor basis for the claim being made.

Classroom Strategies

Adapting instruction to a task and an access need is different from matching it to a fixed “learning style.” The current literature is not accurately summarized either as unanimous support or as containing no positive result. Clinton-Lisell and Litzinger found a small average matching benefit, but the crossover pattern needed for a strong matching claim was uncommon and study quality limited; they questioned widespread adoption. ⁶

Hattie and O’Leary distinguish styles, preferences, and strategies, warning that correlations between learner descriptions and achievement do not demonstrate a benefit from matching instruction. ⁷ I therefore recommend adapting representations, guidance, and practice to observed demands while keeping opportunities open. A preference can be respected without becoming a biological type.

Behavioral Interventions

A behavioral goal should name the educational or safety purpose it serves. Quietness, stillness, eye contact, and rapid compliance should not become universal proxies for learning or respect. If a behavior presents a difficulty, the response should consider the situation and the learner’s communication needs rather than begin with a reward system.

In a hypothetical planning exercise, a team could ask what happens before and after a difficulty, what the learner reports, and which environmental change is feasible. A later review would examine the named goal and any unintended burden. This is a proposal for careful decision-making, not evidence that a generic token economy improves academic outcomes.

Social-Emotional Support

Support should help learners participate, communicate, obtain assistance, and recover from difficulty without requiring a performance of a preferred personality. A student may communicate differently from peers and still contribute fully to the intellectual work.

The SEL evidence discussed in Chapter 2 concerns evaluated programs with particular outcomes. It does not establish a universal effect for every social-skills group or justify treating an emotional-intelligence score as destiny. ⁸ My recommendation is to define the skill and intended benefit, invite learner feedback, and avoid using support records as permanent character judgments.

Collaboration with Parents and Caregivers

A communication routine should make responsibilities clear. What is the school providing? What information would be useful from the family? What is optional? Who responds when a plan does not work? Agreement on a form is not sufficient evidence that the arrangement is usable.

I recommend protecting a family’s ability to report that a strategy creates unreasonable effort, distress, or conflict. That report should inform review even when a narrow school metric looks favorable. Collaboration means examining the whole arrangement, not presuming that more parental labor is always the answer.

Ongoing Evaluation and Adjustment

Progress monitoring should be connected to a decision. If the evidence shows no useful change, the team needs to examine implementation, the instructional hypothesis, the measure, and the goal. A more frequent measurement of the same mismatch does not resolve it.

A hypothetical review could compare examples of work under documented conditions, discuss the learner’s experience, and decide whether to continue, change, or stop a support. The record should state what remains uncertain. A change in score alone does not identify why it changed, and a stable score does not prove that nothing worthwhile occurred.

Conclusion

Support is strongest when it remains specific, accountable, and revisable. The institution should be able to explain both what it is trying to change and what it is refusing to use as a proxy. A narrow performance goal must not erase access, dignity, or the learner’s own priorities.

The point is not to make every decision a research trial. It is to keep the reasoning close enough to evidence that a mistaken interpretation can be corrected before it becomes a permanent gate.

The Need for Ongoing Research and Innovation

Significance of Continuous Research

Research should test an educational proposition, not simply document enthusiasm for a new tool. The proposition needs a population, task, comparator where appropriate, outcome, and time horizon. A claim of greater access may require different evidence from a claim of better delayed reading.

I recommend treating an improvement in usability as valuable on its own terms while resisting the pressure to rename it academic efficacy. That distinction allows institutions to solve real access problems without borrowing an unsupported neuroscience story or a test-score promise.

Current State of Research in Special Needs Education

The examples in this chapter demonstrate why no single conclusion can stand in for the field. Foundational reading guidance concerns component skills and instruction. The novel-word study discussed below concerns two production modes in a small sample. The specialist-font study concerns a named typographic proposal. ^9,10,4

Each may inform a different decision. Their results cannot be combined into a general claim that personalized technology improves all disability-related outcomes. Nor should a disappointing result for one tool be used to deny the need for accessible materials or specialist teaching.

Role of Innovation in Special Needs Education

Innovation can mean a better way to deliver an existing support, a clearer interface, a more accessible representation, or a genuinely new instructional approach. Novelty does not settle which of these is valuable, and an older practice should not receive a free pass from evaluation either.

A hypothetical prototype review could include affected learners from the beginning. The team would ask what the prototype enables, what it makes harder, and what information it collects. It would compare against a credible existing option before announcing a learning gain. This is the standard I advocate, not a report of a successful virtual-reality program.

Challenges and Barriers to Research and Innovation

A small pilot may omit learners who cannot use the prototype, who lack equipment, or whose communication needs make recruitment difficult. That would limit what its results could justify. Leaders should inspect eligibility and exclusion rules rather than assume that the advertised target population participated.

The evaluation also needs to describe support and staffing. A tool tested with extensive adult assistance should not be marketed as an independent replacement for that assistance. A school considering adoption should budget for the arrangement that was actually tested and state what changes when it cannot reproduce that arrangement.

Future of Research and Innovation in Special Needs Education

Future findings may improve instruction and access, but the direction and magnitude of those benefits cannot be promised in advance. A discovery about brain activity does not automatically create a valid educational decision. The same boundary applies to genetic associations and predictive systems.

My preferred standard is practical: does the proposal enable something learners value, preserve their rights, and demonstrate the relevant benefit with proportionate burden? If the answer is uncertain, the scope of use should remain proportionate to that uncertainty. High-stakes adoption should not be the method of discovering whether a speculative measure is valid.

Conclusion

Ongoing inquiry is not an obstacle to action. It is a way to make action correctable. Institutions can provide established supports, address obvious access barriers, and evaluate new proposals without pretending that every uncertainty has disappeared.

A system without unnecessary gatekeepers must still exercise judgment. The difference is that its judgments remain explainable, open to correction, and directed toward wider opportunity rather than a more elaborate account of why a learner should be excluded.

Reading evidence without erasing language or difference

Foundational reading research gives leaders real guidance, but it does not license a single script for every child. The National Reading Panel synthesized evidence on phonemic awareness, phonics, fluency, vocabulary, and comprehension, while the Institute of Education Sciences translated a related evidence base into explicit K–3 practice recommendations. ^11,9 These sources support systematic attention to component skills. They do not reduce reading to one component or make an English-language U.S. report universal across languages and settings.

Multilingual learners make the limitation visible. A review of reviews on K–5 multilingual learners found that science-of-reading recommendations must be interpreted alongside oral-language development, cross-linguistic knowledge, vocabulary, comprehension, and the quality of instruction available in each language. ¹² Treating a developing command of the instructional language as a cognitive deficit confuses the measure with the learner.

The same caution applies to production mode. In a small novel-word study, children with dyslexia showed better studied outcomes after typing while typically developing peers learned through both handwriting and typing. ¹⁰ That result is bounded, but its direction matters: a mode described as universally “better for the brain” can create irrelevant load for a particular learner. Access is not a retreat from rigor when it removes a barrier unrelated to the intended capability.

Leaders should require reading interventions and assessments to specify language, learner population, component skill, delivery conditions, and decision. A decoding measure cannot stand in for comprehension. A fluency score cannot explain why fluency is limited. A lower score in a new language cannot become a ceiling. Human difference is not noise around a standard learner; it is part of the validity problem.

Genetics, development, and the limits of educational inference

Learning is biological, but biology is developmental rather than a fixed verdict delivered at birth. The attainment studies cited here do not isolate a pure inherited educational potential from the environmental conditions in which the outcome was measured. ^2,3 Population-level associations describe variation under particular conditions, not a complete account of what any one learner could become.

Large genome-wide studies of educational attainment demonstrate both the reality and the limits of genetic association. The observed outcome is socially constructed, measured through institutions, and associated with many variants of very small effect. Prediction changes across ancestry groups and contexts, and an association does not identify a teachable mechanism. ² Research on genetic nurture finds associations between parental nontransmitted alleles and children’s educational attainment, consistent with indirect environmental pathways; it does not identify one classroom mechanism or individual ceiling. ³

These findings do not justify genetic personalization in schools. They give leaders no warrant to test children, infer fixed ability, assign tracks, select curricula, or explain unequal outcomes by genotype. The risks of determinism, ancestry bias, privacy invasion, and self-fulfilling classification are profound. The educationally relevant fact is visible learner variability. Institutions can respond to that variability through accessible design, multiple representations, flexible support, strong instruction, and repeated opportunities to demonstrate growth without claiming to know its genetic cause.

The same evidentiary rule applies to a proposal invoking epigenetics. A change in a biological marker would not by itself demonstrate meaningful learning. Before adopting a classroom intervention, leaders should require valid educational outcomes and an assessment of harm. A biological explanation may inform a hypothesis; it cannot substitute for evidence that the proposed intervention helps learners.

The safeguard is simple to state and demanding to practice: never turn a probabilistic group association into a destiny for one person. Biology should increase institutional humility. It should not give gatekeepers a new language for exclusion.

A protocol for claims about human difference

Claims about difference are unusually easy to overstate because the path from observation to explanation is long. A score difference can be real while its cause remains uncertain. A group average can describe a sample while saying very little about the range inside either group. A biological correlate can accompany performance without fixing it. A useful protocol slows the movement from data to educational action.

First, define the observed outcome. “Ability” is not a measurement specification. Name the task, language, tools, time, setting, prior exposure, scoring process, and consequence. If the task contains demands unrelated to the intended construct, those demands can create differences that the institution later mislabels as traits. Reading load in a mathematics problem, fine-motor demands in a knowledge task, speed in a reasoning assessment, or unfamiliar cultural conventions can all change the meaning of performance.

Second, separate description from mechanism. A correlation describes how variables moved in a dataset. It does not establish why, whether the relation will persist elsewhere, or whether changing one variable will change the other. Mechanism requires converging evidence and often experimental or longitudinal designs. Educational policy should not be built on a causal story added after a descriptive result.

Third, judge the individual work before interpreting a category. A disability label, instructional language, or previous program placement is not a demonstration of capability. Ask which task the learner completed, what assistance was used, where the reasoning succeeded, and where further practice is needed. An average may describe a study sample; it cannot perform this assessment for the teacher. Equality means using the same relevant criteria without allowing a label to settle the result.

Fourth, ask how opportunity entered the record. Prior instruction, health, safety, nutrition, time, transportation, family resources, language access, assistive technology, expectations, and exposure to the tested form can all shape observed performance. Accounting for opportunity is not lowering a standard. It is preventing the institution from confusing access to preparation with the capability it claims to measure.

Fifth, distinguish support from construct alteration. A support is appropriate when it removes an irrelevant barrier while preserving the capability under judgment. Text-to-speech may be legitimate when a task concerns scientific reasoning and illegitimate when the task specifically concerns decoding print. Extended time can reveal reasoning that speed obscures, but it would change a claim explicitly about safe performance under time pressure. The decision must name what is essential instead of treating a familiar testing condition as sacred.

Sixth, require an error-correction path. Learners and families should be able to see important records, understand criteria, correct factual errors, add context, and challenge consequential interpretations. A label that cannot be examined or revised becomes a gate. Evidence gathered across time, settings, and forms gives a learner more than one chance to become legible.

Seventh, review effects after implementation. An intervention can be well intended and still consume practice time, collect unnecessary data, or divert attention from stronger teaching. Examine each learner’s progress toward the stated goal, the work the intervention replaces, its practical burden, and the evidence supporting continuation. Predefine conditions for revision or discontinuation. The aim is useful instruction and demonstrated mastery, not indefinite participation in a program.

This protocol is compatible with high expectations. In fact, it makes expectations more defensible. A leader can preserve a legitimate safety or performance standard while widening the routes, supports, and evidence through which learners meet it. The institution gives up the fantasy that one format, timeline, or explanation can capture human capacity. It does not give up rigor.

The most important safeguard is accountable judgment. Genetic, neurological, biometric, diagnostic, and predictive claims should receive independent review before they shape placement, access, discipline, or opportunity. Review should examine measurement quality, applicable legal duties, privacy, instructional purpose, and the learner’s actual experience using the proposed arrangement. Commercial novelty, precision-looking dashboards, and scientific vocabulary are not substitutes for valid evidence of capability.

Individual learners need common standards that describe real capability, alongside instruction responsive to the work each person produces. The proper institutional response is not to deny that people differ or to pretend every performance is interchangeable. It is to give effort a purposeful direction, make improvement visible, and require each consequential judgment to remain close enough to evidence that an error can be corrected.

Support without a lower ceiling

Equality requires consistent criteria for the capability being assessed. Task-relevant support should preserve that requirement, not quietly lower it. When a format contains demands unrelated to the intended skill, another form of evidence may assess the same standard more accurately. The discipline is to name the construct: what exactly must remain unchanged for the judgment to be valid?

Specialized services remain essential. Universal design will not eliminate the need for expert assessment, therapy, accessible materials, individualized instruction, or legal protections. It can reduce preventable barriers and make specialized support more precise. A system designed for difference is not a system that assumes all needs can be anticipated.

Implications for leaders

• Define which features of an assessment are essential and which are incidental barriers.
• Design broad access before demanding diagnostic disclosure.
• Review placement and prediction systems for ceilings that become self-fulfilling.
• Prohibit genetic or biometric inference from becoming an educational gate.
• Preserve human override, periodic re-evaluation, and an alternative route to demonstrate readiness.

Questions to carry forward

1. Which barriers in your system are being recorded as deficits in learners?
2. When support changes a task, how do you decide whether the intended standard remains intact?
3. Which early labels follow learners longer than the evidence warrants?

Notes

1. 1CAST. 2024. “Universal Design for Learning Guidelines, Version 3.0”. CAST.↩
2. 2Lee, James J, Wedow, Robbee, Okbay, Aysu, et al.. 2018. “Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals”. Nature genetics, vol. 50, no. 8, 1112-1121.↩
3. 3Kong, Augustine, Thorleifsson, Gudmar, Frigge, Michael L, et al.. 2018. “The nature of nurture: Effects of parental genotypes”. Science (New York, N.Y.), vol. 359, no. 6374, 424-428.↩
4. 4Kuster, Sanne M., van Weerdenburg, Marjolijn, Gompel, Marjolein, et al.. 2018. “Dyslexie font does not benefit reading in children with or without dyslexia”. Annals of Dyslexia, vol. 68, no. 1, 25-42.↩
5. 5United States Congress. 2004. “Individuals with Disabilities Education Act”. U.S. Department of Education.↩
6. 6Clinton-Lisell, Virginia and Litzinger, Christine. 2024. “Is it really a neuromyth? A meta-analysis of the learning styles matching hypothesis”. Frontiers in Psychology, vol. 15, 1428732.↩
7. 7Hattie, John and O’Leary, Timothy. 2025. “Learning Styles, Preferences, or Strategies? An Explanation for the Resurgence of Styles Across Many Meta-analyses”. Educational Psychology Review, vol. 37, no. 2, 31.↩
8. 8Cipriano, Christina, Strambler, Michael J, Naples, Lauren H, et al.. 2023. “The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions”. Child Development, vol. 94, no. 5, 1181-1204.↩
9. 9Foorman, Barbara, Beyler, Nicholas, Borradaile, Kelley, et al.. 2016. “Foundational Skills to Support Reading for Understanding in Kindergarten Through 3rd Grade”. National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education, no. NCEE 2016-4008.↩
10. 10Cerni, Tania, Lonciari, Isabella, Job, Remo. 2025. “Learning by Writing: The Influence of Handwriting and Typing on Novel Word Learning in Typically Developing Readers and Readers With Dyslexia”. Learning and Instruction, vol. 98, 102119.↩
11. 11National Reading Panel. 2000. “Teaching Children to Read: An Evidence-Based Assessment of the Scientific Research Literature on Reading and Its Implications for Reading Instruction”. National Institute of Child Health and Human Development.↩
12. 12Kittle, Jonathan M., Amendum, Steven J., Budde, Christina M.. 2024. “What Does Research Say About the Science of Reading for K-5 Multilingual Learners? A Systematic Review of Systematic Reviews”. Educational Psychology Review, vol. 36, 108.↩