Research-grounded

The thinking behind the Lokahi WORD Project

Lokahi Connect’s approach helps learners investigate how written language preserves relationships among meaning, morphology, grammar, spelling, history, and context. No single dimension is treated as the sole organizing principle.

Hands organize connected word-family relationships across a shared workspace.

How the framework fits together

These foundations work together. Structured Literacy defines the comprehensive instructional territory and teaching principles. Structured Word Inquiry provides an investigative method through which that instruction can be organized and realized. The Four Questions provide a flexible, recursive container for inquiry at the word level and across larger language structures. INT-informed design shapes how instruction is made accessible. Mediated learning describes how an adult guides the interaction.

Structured Word Inquiry (SWI)

Structured Word Inquiry invites learners to investigate written language through evidence. It can focus on an individual word and extend across phrases, clauses, sentences, prosody, and connected text. We use questions about meaning, structure, relationships, and grapheme function to make written language more coherent and more generative.

Four-question investigative scaffold

  1. What does it mean?
  2. How is it built?
  3. What other words are related?
  4. How do the graphemes function here?
Word Sums — sign family

<sign> + <al> → signal

<sign> + <ature> → signature

<de> + <sign> + <ate> → designate

At Lokahi Connect, we use these four question areas flexibly and recursively at the word level and across larger language structures. Entry point and movement depend on the word or larger construction under investigation, its context, learner observation, and purpose of inquiry. Peter N. Bowers is the intellectual source of SWI and the Four Questions. Bowers and Kirby (2010) introduced the term Structured Word Inquiry in a Grade 4/5 morphological vocabulary intervention.

INT-informed design

Integrative Neurodevelopmental Theory, or INT, is Lokahi Connect’s internal design framework for literacy instruction that honors cognitive variability. It draws together insights from neuroscience, developmental psychology, linguistics, and mediated learning to reduce unnecessary load while preserving conceptual rigor.

We do not simplify linguistic truth into inaccuracy. We simplify the scaffold.

Mediated learning in practice

Mediated Learning Experience, associated with Reuven Feuerstein, describes how a mediator shapes attention, meaning, reciprocity, and transfer. In our work, mediated learning is the interactional layer through which SWI and INT-informed design are delivered.

Key focus areas:

Intentionality Meaning Reciprocity Transcendence Competence Self-regulation

Evidence guides the path through an investigation

The following are possible areas of attention, not mandatory steps. A learner may enter and move among them in response to the word, construction, context, observations, and purpose.

Possible focus

Meaning in context

The learner considers what the word represents in a sentence, construction, image, or purposeful context.

Possible focus

Structure

The learner investigates the base, prefixes, suffixes, and word-sum structure.

Possible focus

Related words

The learner tests possible family relationships through shared structure, meaning, and evidence.

Possible focus

Grapheme function and phonology

The learner asks how the graphemes function. Pronunciation is one source of evidence rather than an automatic starting point.

Possible focus

Transfer and reflection

The learner applies the investigation to another word or context. A response is bounded performance evidence, not proof of understanding.

How to describe the evidence carefully

Use language such as “research-informed,” “grounded in morphological research,” and “aligned with a Lokahi WORD Project investigation of orthography.” Avoid claiming that every element of the full Lokahi framework has already been externally validated as a single named model.

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