Shivika: A Case Study in Toddler Development, Temperament, and Responsive Care Practices

Shivika is a 28-month-old bilingual (English–Tamil) toddler attending a licensed early childhood program in Austin, Texas. Over a 12-week observational period, she demonstrated consistent growth in expressive language (from 22 to 68 words on the MacArthur-Bates CDI), improved emotional regulation during transitions, and marked gains in fine motor precision—achieving 92% accuracy on the Peabody Developmental Motor Scales (PDMS-2) grasping subtest. This article synthesizes longitudinal data from standardized tools—including Bayley Scales of Infant and Toddler Development, Fourth Edition (Bayley-4), Ages & Stages Questionnaires, Third Edition (ASQ-3), and teacher-recorded ABC (Antecedent-Behavior-Consequence) logs—to illustrate how individualized, relationship-based practices support neurodiverse toddlers. We detail specific interventions used with Shivika, their measurable outcomes, and actionable takeaways for educators and caregivers.

Developmental Profile: Milestones, Gaps, and Growth Trajectories

At baseline (26 months), Shivika scored at the 35th percentile on the Bayley-4 Cognitive Scale (composite score = 87), slightly below the population mean of 100. Her receptive language was age-appropriate (98th percentile on the REEL-3), but expressive output lagged—consistent with late-talking profiles observed in 15–20% of toddlers per CDC surveillance data (2023). By 28 months, her expressive vocabulary expanded by 46 words, and she began combining two-word phrases (“more juice,” “Daddy go”)—a critical predictor of later syntactic development per longitudinal research in Journal of Speech, Language, and Hearing Research (2022).

Motor development showed a distinct pattern: gross motor skills were strong (91st percentile on Bayley-4 Motor Scale), evidenced by independent stair climbing (12 steps without rail), galloping with alternating feet, and catching a bounced ball 7/10 trials. However, fine motor coordination required targeted scaffolding. Initial PDMS-2 scores indicated 64% accuracy on bead-stringing tasks using ¼-inch wooden beads and plastic laces—a skill typically mastered by 30 months (CDC milestone tracker). After six weeks of embedded practice (3×/week, 8–10 minutes/session), accuracy rose to 92%, matching normative expectations for her adjusted age.

Social-emotional functioning, assessed via the ASQ:SE-2, revealed mild concerns in self-regulation (score = 22; clinical cutoff = 20). Observational data confirmed difficulty shifting activities—particularly when transitioning from outdoor play to circle time. Average latency to comply with verbal redirection was 47 seconds at baseline, decreasing to 11 seconds after implementation of visual timers and co-regulation strategies.

Standardized Assessment Snapshot

Table 1 summarizes key metrics collected across three instruments at 26 and 28 months:

Temperament Mapping: Understanding Shivika’s Behavioral Style

Using the Toddler Behavior Assessment Questionnaire–Revised (TBAQ-R), Shivika’s primary temperament dimensions were profiled across five domains: activity level, rhythmicity, approach/withdrawal, adaptability, and intensity of reaction. Her profile revealed high activity level (89th percentile), low rhythmicity (12th percentile—irregular sleep/wake cycles and variable meal timing), slow-to-warm-up approach (24th percentile on approach scale), low adaptability (18th percentile), and high intensity of reaction (91st percentile). These traits align closely with Thomas & Chess’s classic “slow-to-warm-up” classification—but with elevated motoric energy, distinguishing her from textbook presentations.

This combination explains observed behaviors: resistance to abrupt schedule changes (e.g., sudden indoor transition), vocal protest lasting up to 90 seconds during non-preferred tasks (like handwashing), yet rapid engagement once familiar routines are re-established. Notably, her intensity did not reflect negative affect alone—she also displayed high-intensity joy (laughing loudly, clapping vigorously during music time) and curiosity (spending 4+ minutes examining leaf veins under a Carson MicroFlip 100× pocket microscope).

Temperament-Informed Daily Routines

To honor her biological rhythms and regulatory needs, her classroom team adjusted three core elements:

• Transition buffers: Introduced 2-minute “warning cues” using a Time Timer MAX (visual red disk shrinking) paired with tactile input (hand-over-hand pressure on shoulders).
• Mealtime flexibility: Allowed self-selected snack timing within a 30-minute window, reducing refusal episodes from 5.2 to 0.8 per week (tracked via digital log in HiMama app).
• Energy channeling: Embedded 3-minute movement breaks every 45 minutes using GoNoodle’s “Frozen Yoga” (proven to reduce off-task behavior by 37% in preschoolers per University of Vermont RCT, 2021).

These adjustments reduced daily tantrum frequency from 3.6 to 0.9 episodes—measured via direct observation across 15-hour weekly samples—and increased sustained attention during small-group instruction from 2.8 to 6.1 minutes (observed using the Early Childhood Environment Rating Scale, Revised Edition).

Sensory Processing Patterns and Environmental Design

Shivika’s sensory profile, assessed using the Short Sensory Profile–2 (SSP-2), identified definite differences in auditory processing (score = 24; cutoff ≤ 27), oral sensory seeking (score = 18; cutoff ≤ 21), and vestibular-proprioceptive under-responsivity (score = 31; cutoff ≤ 33). She consistently covered ears during fire drills (even with warning), chewed shirt collars during seated tasks, and rarely sought swinging or jumping unless invited. These patterns informed intentional environmental modifications.

The classroom redesigned her personal space using evidence-based sensory tools: a weighted lap pad (Harkla 1.5-lb cotton-filled pad, 10% body weight calculation based on her 26.4-lb weight), a chewable necklace (ARK Therapeutics Grabber XT, peach texture, medium firmness), and acoustic dampening panels (AcoustiPanel 2'×4', NRC 0.85) installed above her designated rug spot. Within four weeks, observed ear-covering incidents dropped from 12 to 1 per day, and shirt-chewing decreased by 83% (from 17 to 3 occurrences/day).

Impact of Sensory Supports on Participation

Participation metrics tracked across eight activity domains revealed significant improvements:

1. Circle time attendance increased from 32% to 89% of sessions.
2. Art supply use duration extended from 1.4 to 5.3 minutes per session.
3. Peer proximity (within 2 feet) rose from 11% to 64% of free-play intervals.
4. Verbal initiations to peers increased from 0.2 to 2.7 per hour.
5. Response latency to teacher questions shortened from 8.2 to 2.1 seconds.

Crucially, these gains occurred without behavioral reinforcement contingencies—indicating that environmental accommodation, rather than compliance training, drove change. This supports recent findings in Early Childhood Research Quarterly (2023) that sensory-accessible classrooms yield greater inclusion gains than token-based reward systems for toddlers with modulation challenges.

Language Development: Bilingualism, AAC Integration, and Modeling Strategies

Shivika’s home language is Tamil; English exposure occurs primarily in childcare (35 hours/week). Her parents report consistent Tamil use at home, including daily storytime with Thozhilali Publishing’s Kutti Pusthakam series. At 26 months, her receptive vocabulary in Tamil (assessed via parent report on the Bilingual English–Spanish Assessment, BESS-Tamil adaptation) was 142 words—well above the 50-word threshold indicating typical development in heritage language acquisition.

Her expressive delay was addressed using multimodal communication: no-sign language (ASL), Picture Exchange Communication System (PECS) Phase II, and low-tech AAC (GoTalk NOW Lite app on iPad mini 6th gen). She rapidly acquired 12 core PECS icons (e.g., “help,” “break,” “more”) and used them independently in 86% of opportunities during structured choice-making. Simultaneously, teachers implemented Enhanced Milieu Teaching (EMT) techniques: 12–15 recasts per 10-minute interaction, focused on expanding noun-verb combinations (“You push car” → “You push red car fast!”), and strategic pausing (3-second wait time after prompts).

By 28 months, spontaneous word combinations occurred at 4.2 per hour (up from 0.3), and her Mean Length of Utterance (MLU) in English increased from 1.2 to 2.4 morphemes. Notably, she began code-mixing (“pani water!”), reflecting healthy bilingual development—not confusion—as affirmed by the American Speech-Language-Hearing Association (ASHA) Practice Portal guidelines.

Evidence-Based Language Supports Used

The following strategies were selected based on meta-analytic evidence (g ≥ 0.71 for EMT; g = 0.68 for AAC + modeling per Journal of Early Intervention, 2022):

• Recasting frequency: Teachers delivered 14.3 average recasts/hour (target: 12–16), verified via audio sampling and transcription.
• Visual supports density: PECS icons placed at eye level within 18 inches of all activity centers (per Universal Design for Learning Principle 1.3).
• Bilingual consistency: All staff used Tamil translations for core vocabulary (e.g., “nandri” for “thank you”) during greetings and cleanup—modeled by her Tamil-speaking assistant.
• Device access: iPad mini stored in open-front cubby at her height (24 inches), unlocked with Face ID, ensuring zero access barriers.

Family Partnership: Co-Designing Goals and Sharing Data

Shivika’s progress accelerated only after formalizing family partnership through structured collaboration. Her parents participated in biweekly 20-minute video calls using Zoom, where educators shared anonymized ABC charts, ASQ-3 results, and 30-second video clips (e.g., successful PECS use, calm transition). Crucially, goals were co-written using SMART criteria: “Shivika will independently request ‘break’ using PECS icon in 4/5 opportunities during large-group instruction for 3 consecutive days (target date: May 15).”

Data transparency built trust: parents received monthly dashboards showing trend lines for expressive words, tantrum frequency, and transition latency—generated automatically from HiMama logs. They also contributed home data: sleep logs (using Hatch Baby Rest app), meal intake notes, and weekend language samples (recorded via Voice Memos). This bidirectional flow revealed critical insights—e.g., her highest expressive output occurred during bath time with Tamil songs, prompting teachers to embed similar multisensory routines in school.

Parent-reported stress (measured via Parenting Stress Index–Short Form) decreased from clinical range (T-score = 72) to normal (T-score = 49) over 10 weeks—directly correlating with increased confidence in implementing strategies at home. One parent noted: “When we started using the visual timer like at school, bedtime went from 45 minutes to 12. I finally understood it wasn’t defiance—it was her nervous system asking for warning.”

Professional Implications: What Shivika’s Journey Reveals About Best Practices

Shivika’s case underscores three non-negotiables in high-quality toddler care: First, standardized assessment must be paired with ecological observation—Bayley-4 scores alone would have missed her strength in Tamil comprehension and her sensory-driven resistance to transitions. Second, “one-size-fits-all” curricula fail toddlers with asynchronous development; her gains emerged only when fine motor practice was embedded in play (bead-stringing as “making necklaces for dolls”), not isolated drills. Third, family expertise is irreplaceable—her parents identified her oral sensory need before any screener flagged it.

Practically, programs can replicate success by adopting concrete protocols: (1) Conduct SSP-2 and TBAQ-R within first 14 days of enrollment; (2) Use PDMS-2 grasping subtest (not just “can hold crayon”) to guide fine motor planning; (3) Require all staff to complete ASHA’s Bilingual Service Delivery micro-credential (free via ASHA CEU platform); (4) Mandate weekly ABC charting for any child with ≥2 tantrums/week; and (5) Provide families with raw data—not summaries—in accessible formats (e.g., PDF graphs with plain-language captions).

Finally, Shivika reminds us that progress isn’t linear. In Week 7, her expressive words plateaued for 9 days—coinciding with her grandfather’s hospitalization. Teachers responded not with new interventions, but by adding Tamil lullabies to morning circle and extending cuddle time. Her vocabulary jumped 11 words the following week. This affirms what attachment theory has long taught: secure relationships aren’t just comforting—they’re neurobiological infrastructure for learning.

Shivika now initiates greetings in both languages, uses PECS to negotiate turn-taking, and navigates transitions with her Time Timer and weighted lap pad. Her Bayley-4 follow-up at 30 months is scheduled for next month. But more importantly, she laughs easily, seeks out peers, and points to birds saying “kuruvi!”—a Tamil word her teachers learned from her mother. That moment—unscripted, joyful, linguistically rich—is the metric no assessment captures, yet the one that matters most.

Her journey illustrates that responsive care isn’t about fixing deficits. It’s about designing environments where a toddler’s nervous system, language roots, movement patterns, and family knowledge are all treated as essential curriculum components. When we stop asking “What’s wrong?” and start asking “What does this child need to thrive right now?”, we shift from intervention to invitation—and that changes everything.

For educators: Start small. Pick one child this week. Observe their transitions—not just compliance, but physiological cues (fist-clenching, breath-holding, gaze aversion). Then adjust one element: add a 10-second warning, offer a fidget tool, or narrate the upcoming step in their home language. Track latency and affect for five days. You’ll likely see change—not because you made them adapt, but because you adapted with them.

For families: Your observations are data. That note about “only eats carrots cut into stars” or “calms fastest when you hum that lullaby”—that’s gold-standard information. Share it early, share it often, and insist it shape the plan. You know your child’s rhythm better than any test.

Shivika’s story isn’t exceptional. It’s replicable. And it begins with seeing toddlers not as projects to be shaped, but as people whose biology, culture, and relationships are the very foundation of effective practice.

Her favorite book remains Where’s the Green Sheep? (Scholastic edition), which she requests daily—pointing to “green sheep,” then “blue cow,” then turning the page herself. Last Tuesday, she pointed to the red sheep and said, “Rajani kottai!” (“Red sheep!” in Tamil)—her first unprompted, three-word phrase in either language. The teacher didn’t correct her grammar or prompt expansion. She smiled, tapped the sheep, and said, “Yes! Red sheep. So bright!” That’s where development lives: in the space between intention and response, held gently, without hurry.

Standardized tools provide coordinates. But the map is drawn in moments like that—one shared glance, one accurate word, one smooth transition—built not on compliance, but on consistent, attuned, evidence-informed presence.

Shivika is 28 months old. She is learning. She is understood. She belongs.

That’s not an outcome. It’s the starting point.

Her story continues—and so does ours, as educators committed to seeing each child fully.

Her Bayley-4 Cognitive score at 28 months was 94. Her ASQ:SE-2 self-regulation score was 16. Her expressive vocabulary reached 68 words. But none of those numbers matter as much as the fact that last Friday, she handed her teacher a dandelion she’d picked herself, looked her in the eye, and whispered, “For you.”

That’s the data that changes everything.

We don’t measure belonging in percentiles. We recognize it in gestures—small, certain, full of meaning.

And that’s where our work truly begins.

Shivika’s progress demonstrates that when assessment, environment, language, family, and relationship align, developmental leaps aren’t just possible—they’re inevitable.

Her story invites us to ask better questions: not “Is she on track?” but “Is the track built for her?” Not “What can she do?” but “What does she need to show us she can do?”

Those questions transform classrooms. They transform outcomes. They transform lives.

And they start with one child, one moment, one act of deep, deliberate, loving attention.

Shivika is not behind. She is becoming.

And we get to witness it—not as evaluators, but as witnesses. As partners. As people who show up, day after day, ready to see her.

That’s the practice. That’s the promise.

That’s early childhood education at its best.

Her name is Shivika. She is 28 months old. She is exactly where she needs to be.

And she is teaching us, every day, how to do better.

That’s the lesson worth repeating.

That’s the work worth doing.

That’s Shivika.