Strategies

Build institutional data-use practice: train instructors to analyze learner data and align product data to required assessments

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

To move beyond minimal usage tracking, programs should build a data-use culture: set clear outcome goals, build in the expectation that instructors monitor learner progress with data, provide training in data analysis, and provide time and space to work with learners on struggle areas. Product developers should provide specific training on using data to differentiate instruction and align data and products to required assessments such as CASAS and TABE, since "many of the programs expressed some frustration that there was little alignment between the products' internal assessments and the standardized assessments that their learners were required to take."

Design Implications

Context

Requirements

Constraints

Target Learners

Target Learning Goals

Claims

Examples

-

Key Sources

Page metadata
Field Value
type strategy
id instructor-data-use-training-alignment
title Build institutional data-use practice: train instructors to analyze learner data and align product data to required assessments
description To move beyond minimal usage tracking, programs should build a data-use culture: set clear outcome goals, build in the expectation that instructors monitor learner progress with data, provide training in data analysis...
status review
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 1 — constantakis-2016

Frontmatter is the page's machine-readable record — see the Schema & Guide.