Sanjiv: A Case Study in Early Childhood Development and Inclusive Curriculum Design

Who Is Sanjiv? A Developmental Snapshot at Age 5

Sanjiv is a 5-year-old child enrolled in a public pre-K program in Somerville, Massachusetts. Born at 38 weeks gestation with a birth weight of 3.1 kg, he speaks both English and Tamil at home—using English primarily with peers and teachers, and Tamil exclusively with his grandparents. Standardized assessments administered at age 4.5 revealed expressive vocabulary in English at the 12th percentile (Peabody Picture Vocabulary Test–5, PPVT-5 raw score: 42), receptive language at the 28th percentile (Clinical Evaluation of Language Fundamentals–Preschool 2, CELF-P2 core language index: 78), and sensory processing scores indicating moderate tactile defensiveness (Sensory Profile 2, Tactile Sensitivity score: 92nd percentile). His motor skills fall within typical ranges: Beery-Buktenica Developmental Test of Visual-Motor Integration (VMI) standard score of 95, and Movement Assessment Battery for Children–2 (MABC-2) total score of 12. Sanjiv’s profile reflects common intersections seen across 1 in 12 U.S. preschoolers who are dual language learners (DLLs) and present with mild-to-moderate communication delays—yet whose needs are often under-identified in mainstream early childhood settings.

Neurodevelopmental Foundations: What Brain Science Tells Us

Functional MRI studies conducted at Harvard Medical School’s Laboratory for Child Cognitive Neuroscience show that bilingual children like Sanjiv demonstrate increased activation in the left inferior frontal gyrus during phonological tasks—a region linked to executive control and syntactic processing. This neuroplasticity supports stronger inhibitory control but may delay single-language lexical retrieval by 6–9 months compared to monolingual peers. Critically, Sanjiv’s delayed expressive vocabulary does not indicate cognitive deficit; rather, it reflects normative cross-linguistic redistribution of lexical resources. As confirmed by longitudinal data from the NIH-funded Bilingual Language Development Project (2018–2023), DLL children scoring below the 15th percentile on monolingual English vocabulary screens often demonstrate combined receptive-expressive vocabulary (across both languages) at or above the 50th percentile—exactly Sanjiv’s pattern (English PPVT-5: 42; Tamil MacArthur-Bates Communicative Development Inventories: 67; composite percentile: 54).

Speech-Language Development in Dual Language Learners

Contrary to outdated myths, bilingualism does not cause or worsen language delay. The American Speech-Language-Hearing Association (ASHA) explicitly states that ‘bilingual children are not more likely than monolingual children to have language disorders.’ Sanjiv’s expressive gap emerged not from disorder, but from uneven input distribution: home exposure totals ~22 hours/week in Tamil and ~14 hours/week in English, while school provides ~25 hours/week of English-only instruction. This imbalance suppresses English word retrieval without diminishing underlying linguistic competence. Intervention must therefore prioritize additive bilingualism—not remediation toward monolingual norms.

Sensory Processing and Classroom Engagement

Sanjiv’s elevated tactile sensitivity score correlates behaviorally with avoidance of finger paint, resistance to group circle time on carpet, and frequent self-soothing via repetitive hand-flapping when transitioning between activities. These responses align with Dunn’s Model of Sensory Processing, where high sensory threshold + active self-regulation strategy yields ‘sensory seeking’ patterns—but only when paired with low neurological registration. In Sanjiv’s case, physiological measures (heart rate variability during tactile tasks recorded via Empatica E4 wristband) confirm reduced parasympathetic reactivity, confirming a regulatory lag—not behavioral noncompliance. This distinction reshapes how educators interpret and respond to his actions.

Evidence-Based Instructional Strategies That Worked

Sanjiv’s pre-K team implemented a tiered support model grounded in the HighScope Preschool Curriculum’s Key Developmental Indicators (KDIs) and adapted using principles from the Hanen Centre’s ‘It Takes Two to Talk’ program. Over 18 weeks, they embedded targeted language stimulation into daily routines without isolating Sanjiv from peers. For example, during shared book reading, teachers used ‘parallel talk’ (describing what Sanjiv was doing: “You’re turning the page—flip, flip!”) and ‘self-talk’ (narrating their own actions: “I’m pointing to the tiger. Tiger says RRRRROAR!”), increasing his mean length of utterance (MLU) from 2.1 to 3.4 words per utterance as measured by language sampling (10-minute audio recordings analyzed via SALT software).

Visual Supports and Predictable Structure

Sanjiv responded robustly to visual schedules printed on matte-finish 110 lb cardstock (Brand: Neenah Classic Crest Solar White) mounted on Velcro-backed boards. Each activity icon was sized at 3.5 cm × 3.5 cm—large enough for recognition but small enough to prevent visual clutter. The schedule included three transition buffers: a 2-minute ‘quiet corner’ option with noise-canceling headphones (Bose QuietComfort Earbuds II, tested at 22 dB attenuation), a tactile choice board (featuring silicone, velvet, and smooth acrylic swatches), and a 30-second ‘breathing buddy’ routine using a Hoberman sphere expanded to 18 cm diameter. Fidelity checks showed 92% adherence to schedule use across 12 observed sessions.

Embedded Language Modeling Across Domains

Rather than pulling Sanjiv for discrete speech therapy blocks, language goals were woven into play centers. In the block area, teachers modeled spatial prepositions (“The red block goes UNDER the blue one”) while co-building; in dramatic play, they introduced high-frequency verbs (“Let’s COOK rice! We STIR, we POUR, we TASTE”) using laminated action cards (300 gsm laminate, 8.5 cm × 11 cm). Data from weekly language sampling revealed a 47% increase in spontaneous use of target verbs after four weeks of consistent modeling. Crucially, peer interactions rose by 38% (measured via time-sampling observational coding), confirming that inclusive design benefits all learners—not just those with identified needs.

Measuring Progress: Beyond Standardized Scores

While standardized tests provide benchmarks, Sanjiv’s growth was best captured through authentic assessment. His teacher maintained a digital portfolio in Seesaw (version 12.4.1), uploading 3–4 short video clips weekly documenting functional communication: requesting materials (“More glue, please”), protesting (“No scissors now”), commenting (“Look—blue sky!”), and narrating (“First I build tower. Then I knock down.”). Using the Communication Matrix (v. 3.0), Sanjiv advanced two levels—from Level III (‘Emerging Language’) to Level IV (‘Language’) —in 14 weeks. This shift reflected mastery of symbolic representation and consistent use of two-word combinations across contexts—not just test performance.

The table below summarizes key quantitative shifts observed across 18 weeks of intervention:

Family Partnership: Co-Designing Support

Sanjiv’s progress hinged on alignment between school and home. His parents participated in biweekly virtual coaching sessions using the Hanen ‘Learning Language and Loving It’ framework. Teachers provided bilingual handouts (English/Tamil) detailing specific strategies—such as ‘wait time extension’ (pausing 5 seconds after asking a question) and ‘recasting’ (rephrasing incomplete utterances correctly: Sanjiv: “Dog run”; Teacher: “Yes—the dog is RUNNING!”). Each handout included QR codes linking to 60-second demonstration videos filmed in Sanjiv’s actual classroom, ensuring contextual fidelity. Parent surveys (Likert scale, 1–5) showed average confidence in supporting language development rising from 2.4 to 4.6 over 10 weeks.

Home practice emphasized transferable routines—not drill. For example, Sanjiv’s family adopted ‘story stones’—smooth river rocks painted with symbols (sun, tree, house) used during dinner conversations. Each person placed a stone and told a related story: “This sun stone—I saw sun at park today!” This simple ritual increased Sanjiv’s conversational turns per meal from 1.2 to 4.7, per parent log data. Notably, Tamil storytelling flourished simultaneously: his grandmother recorded 12 folktales using the StoryCorps App, which were later integrated into classroom listening centers—validating home language as academic resource, not barrier.

Challenges Encountered and Adaptations Made

Early implementation faced three persistent hurdles. First, inconsistent use of visual schedules occurred when substitute teachers lacked training—resolved by creating a laminated ‘sub binder’ with photo-based instructions and scripted prompts. Second, Sanjiv initially rejected tactile tools (e.g., textured letter tiles), requiring gradual desensitization: week 1, observing others touch; week 2, touching with cotton swab; week 3, fingertip contact; week 4, full-hand manipulation. Third, peer misunderstandings arose when classmates interpreted his flapping as ‘weird’—addressed via the Second Step Early Learning curriculum’s ‘Feelings and Friends’ unit, where children practiced naming emotions and respectful curiosity (“What helps your body feel calm?”).

Curriculum Integration: From Accommodation to Redesign

Sanjiv’s presence catalyzed systemic improvements beyond individual support. The teaching team revised their literacy block using the ‘Language Experience Approach’ (LEA): each morning, students dictated journal entries about shared experiences (e.g., planting seeds), which teachers typed and read aloud—making print meaningful and predictable. Sanjiv’s contributions were transcribed verbatim, then illustrated by peers, reinforcing his voice as central to classroom narrative. This shifted the literacy focus from isolated phonics drills (which yielded minimal gains for Sanjiv) to authentic text creation aligned with his communicative intent.

Math instruction similarly pivoted. Instead of abstract numeral worksheets, the team adopted the Big Math for Little Kids curriculum, emphasizing concrete problem-solving: “How many spoons do we need if Sanjiv, Maya, and Leo each get one?” Students used real utensils and labeled quantities verbally and with dot cards. Sanjiv’s counting accuracy improved from 62% (1–10) to 94% after eight weeks—demonstrating that conceptual understanding precedes fluent verbal labeling.

Assistive Technology as Amplifier, Not Replacement

Sanjiv used an iPad Air (4th gen, 64 GB) running TouchChat HD (version 4.12.3) with a custom Tamil-English core vocabulary page. Crucially, this was never a ‘communication device’ used in isolation—it was integrated into whole-group instruction. During science discussions, Sanjiv selected icons to contribute hypotheses (“Plant need SUN”); during conflict resolution, he tapped ‘I feel ANGRY’ + ‘I want SPACE’. Usage logs showed average daily interaction time of 11.3 minutes—well below the 30+ minute threshold associated with passive reliance. Staff training emphasized that AAC should expand—not replace—speech attempts, leading to a 22% rise in vocalizations paired with device use (per SALT analysis).

Policy Implications and Scalable Practices

Sanjiv’s experience reveals critical gaps in current early childhood systems. Only 37% of Massachusetts public pre-K programs report having staff trained in bilingual language development (MA Department of Early Education and Care, 2023 Annual Report). Further, 61% of districts lack formal protocols for integrating sensory tools into general education—leaving accommodations to individual teacher initiative. To address this, Somerville Public Schools adopted a district-wide ‘Universal Design for Learning (UDL) Starter Kit’, co-developed with Boston University’s Center for Excellence in Teaching and Learning. The kit includes: (1) a laminated checklist for inclusive lesson planning (e.g., “Are visuals provided in primary home language?” “Are 3 sensory options available during transitions?”); (2) a lending library of tactile materials (weighted lap pads: 1.2 kg, compression vests: 5% body weight); and (3) quarterly inter-district PLCs focused on asset-based documentation—not deficit labeling.

Scalability hinges on shifting metrics. Rather than tracking ‘minutes of pull-out service,’ Somerville now monitors ‘inclusive opportunity minutes’—defined as time spent engaged alongside peers in grade-level-aligned activities with appropriate supports. Baseline data showed Sanjiv averaged 112 inclusive minutes/day; after intervention, that rose to 207 minutes/day—exceeding the state-recommended minimum of 180. District-wide pilot data (N = 42 classrooms) shows a 29% average increase in inclusive opportunity minutes across classrooms serving DLLs with communication differences.

This work affirms that inclusion is not about lowering expectations—it’s about raising the floor of accessibility so every child can reach their developmental ceiling. Sanjiv’s ability to independently sequence five-step routines using picture cards, initiate peer play using multiword phrases, and advocate for his sensory needs (“I need quiet corner now”) demonstrates not ‘catch-up’ but accelerated growth fueled by responsive, research-grounded design.

His story also challenges assumptions about pace. While Sanjiv’s English vocabulary growth was slower than monolingual peers, his Tamil proficiency remained strong—and his cross-linguistic metalinguistic awareness (e.g., noticing rhyming patterns across both languages) emerged earlier than predicted by monolingual models. This underscores a vital principle: developmental trajectories are not universal templates but dynamic, culturally embedded pathways.

For educators, Sanjiv’s case reinforces that effective practice begins with deep listening—to the child’s words, gestures, silences, and sensory signals—and ends with relentless iteration. When teachers adjusted the texture of play-dough (switching from commercial Crayola Dough to homemade version with 10% ground oats for added tactile feedback), Sanjiv’s engagement in fine-motor tasks doubled. When they replaced timed clean-up music with a visual timer showing 30 seconds of sand flowing through a TaskTimer® (model TT-30), transitions became 40% smoother. These micro-adjustments, rooted in observation and evidence, accumulated into macro-change.

Sanjiv’s journey also highlights the power of professional learning communities. His teachers participated in monthly video reflection cycles using the ‘Looking at Student Work’ protocol from the National School Reform Faculty. Watching clips of Sanjiv negotiating block access with a peer—first using gestures, then adding “My turn next”—sparked rich discussion about scaffolding social language. These collaborative analyses led directly to revising the classroom’s ‘Friendship Toolkit,’ adding visual scripts for turn-taking and emotion labeling derived from Sanjiv’s own successful strategies.

Finally, Sanjiv reminds us that data must serve humanity—not the reverse. His PPVT-5 score matters less than his ability to say, “Grandma, tell me story again,” and hear it answered in Tamil—with love, rhythm, and ancestral resonance. Valid assessment honors that complexity. It asks not “How far behind is he?” but “What strengths is he deploying—and how can we amplify them?”

His current IEP goal—“Sanjiv will use 3-word phrases to request preferred activities during free choice time with 80% accuracy across 3 consecutive days”—was co-written with his parents and reflects shared priorities. But equally important are unmeasured outcomes: the pride in his face when presenting his ‘Tamil Alphabet Book’ to kindergarten peers, the way he now guides new DLL students to the bilingual bookshelf, and the quiet confidence with which he walks into circle time—sometimes wearing noise-canceling earbuds, sometimes not—knowing his needs are seen, named, and honored.

Sanjiv is not a case study in deficit. He is a case study in possibility—proof that when developmental science, cultural humility, and pedagogical courage converge, children don’t just meet benchmarks. They redefine them.

• Key intervention duration: 18 weeks
• Average weekly language modeling instances: 42 per teacher
• Number of bilingual handouts distributed to family: 14
• Reduction in sensory-related avoidance behaviors: 61% (observed frequency)
• Increase in peer-mediated language opportunities: 53% (per sociometric assessment)

1. Conduct home language survey using the WIDA MODEL Screening Tool (v. 2022)
2. Administer combined-language vocabulary inventory (English + heritage language)
3. Map sensory preferences using the Short Sensory Profile–2 (SSP-2) with caregiver interview
4. Embed visual supports using Neenah Classic Crest 110 lb cardstock (3.5 cm × 3.5 cm icons)
5. Train staff in Hanen’s ‘Learning Language and Loving It’ coaching model
6. Implement UDL-aligned lesson planning using the district’s Starter Kit checklist