A program evaluation of classroom data collection with bar codes.

The authors set up a bar-code system in a special-ed classroom. Each student had a sheet of bar codes for every IEP goal.

The teacher scanned the matching bar code when a skill happened. A small computer logged the date and goal.

No one counted tallies by hand. The study only asked if the teacher could use the tool every day, not if students learned faster.

The teacher kept up the scanning for the whole term. The machine stored daily IEP data without paper piles.

The authors called the system “feasible.” They did not report child progress or teacher time saved.

Honigfeld et al. (2012) later showed that teacher-collected Goal Attainment Scaling scores are just as reliable as researcher scores. Both papers say teachers can produce trustworthy data, but Lisa used goal scaling while D et al. used bar codes.

Schanding et al. (2012) trimmed cut-off scores on the SRS and SCQ so teachers could screen for autism quickly. Like the bar-code idea, the goal was to make teacher data collection easier and still accurate.

Kodak et al. (2018) found that special-ed staff often skip steps during discrete-trial lessons. That negative result reminds us that good data tools do not fix bad teaching; they only record what happens.

You can copy the bar-code trick in any classroom that has a phone or tablet. Print one code per goal, scan when you see the skill, and the sheet stays clean. You still need to train staff and check the codes match the behavior, but you lose the nightly tally chore.