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¶
- Set clear outcome goals for learners
- Build in expectation that instructors use data to monitor progress
- Build in time for training on how to use the data
- Provide time and space for instructors to work with learners on struggle areas
Constraints¶
- Without alignment between product assessments and required standardized assessments, it was difficult to determine if students were learning what they needed to pass those assessments
Target Learners¶
- adult basic education instructors and program administrators
- low-skilled adult learners
Target Learning Goals¶
- personalized instruction targeting individual learner struggle areas
- progress toward required standardized assessments
Claims¶
Related Strategies¶
- Support the evolving instructor role with professional development beyond product training, articulated role expectations, and communities of practice
- Set Clear Objectives
Examples¶
-
Key Sources¶
- Constantakis, P. (2016). Integrating Digital Tools for Adult Learners: Four Critical Factors. Digital Promise. https://digitalpromise.dspacedirect.org/items/52ffa633-226c-445f-8113-54cc83dc76c7
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 |
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