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Case 09 — PLATO and Computer-Based Individualized Learning

Case 09 — PLATO and Computer-Based Individualized Learning

Overview

Item Content
Period Started at the University of Illinois in the early 1960s; expanded in the 1970s–80s
Technology PLATO (Programmed Logic for Automatic Teaching Operations)
Audience Large-scale learning in higher education, public schools, military training, and more
Literacy Self-paced learning, basic literacy and numeracy, self-regulated learning

Technology Summary

An early computer-assisted instruction (CAI) system that presented learning content, problems, and feedback on terminals (sometimes touchscreens). It experimented early with graphics, gamification, and online discussion.

Literacy Improvement Mechanisms

  1. Individual pace: Repeating difficult items without feeling self-conscious
  2. Immediate feedback: Seeing right away why an answer was wrong → corrective learning
  3. Learning records: Progress and wrong answers kept as data for self-checking
  4. Redefined teacher role: Teachers focus less on explaining and more on motivation, counseling, and task design

Field Operation Tips

  • Good for explaining the operational know-how of individual item-by-item pacing even in large classes
  • Apply as a structure that adds a self-paced learning corner of 15 minutes to activist programs
  • Screen learning must be paired with offline discussion and activities to be sustainable

Implications for Paju Activist Training

  • A case where “computers replace teachers” becomes computers change the role
  • Clues for split-group and corner operation when running programs with participants of different levels
  • Historical grounding for today’s learning apps and LCMS platforms

Notes

  • A large-scale pre-2000 system, yet the principles of individualization, feedback, and records match current edtech
  • Basis for the validity of a machine + human mentoring hybrid in hands-on community education