The effects of different on-line adaptive response time limits on speed and amount of learning in computer assisted instruction and intelligent tutoring

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

Instructional systems usually do not limit the time available to a learner for responding to questions or practice items. However, experiments conducted by Robert Tennyson and his research group indicate that with regard to the speed of learning this common practice is less efficient compared with the computer-controlled adaptation of a proper response time limit to the learner's increasing competence during instruction. Until now the theoretical background of these results is not well understood and the effects are only reported by a single research group. In this article two experiments are reported. They are based on recent cognitive theories and are aiming at differences between learner control of the response time and adaptive program control of a response time limit on speed and amount of rule learning. Experiment number 1 (N = 66, 3-group-ANCOVA-design) replicated the results of Tennyson and co-workers: Learning speed is highest under a response time limit which is adapted on-line to the achievement of the student in such a way that there is short time available to respond at low achievement and more time at increasing achievement. Learning speed is slowest under a response time limit which is inversely adapted to increasing achievement. Learner control without any time limit is located in-between. Experiment number 2 (N = 40, 2-group-ANCOVA-design) extends this effect to the overall level or amount of learning within a fixed time period: Students learn more under an adaptive response time limit than under learner control without any response time limit. This effect, however, depends on a successful implementation of the algorithm to adjust the response time limit. Otherwise there is a kind of boomerang effect by which learning is hindered. Furthermore, the results indicate that the effects of an adaptive response time limit are more cognitive than motivational, so that they are in accordance with modern cognitive theories like ACT* and repair theory.

Original languageEnglish
JournalComputers in Human Behavior
Volume6
Issue number1
Pages (from-to)17-29
Number of pages13
ISSN0747-5632
DOIs
Publication statusPublished - 01.01.1990
Externally publishedYes

Recently viewed

Publications

  1. Control of a Three-Axis Robot with Super Twisting Sliding Mode Control
  2. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives
  3. Detection time analysis of propulsion system fault effects in a hexacopter
  4. Reality-Based Tasks with Complex-Situations
  5. Introduction Mobile Digital Practices. Situating People, Things, and Data
  6. Mapping the intersection of planetary boundaries and environmentally extended input-output analysis: A systematic literature review
  7. The relationship between long-term memory ability and instructed second language learning
  8. Guest Editorial - ''Econometrics of Anonymized Micro Data''
  9. Experimental Evaluation of Data Fusion Techniques and Adaptive Control for Mobile Robot Localization
  10. Measuring cognitive load with subjective rating scales during problem solving
  11. Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design
  12. Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items
  13. Comparison of Odor Thresholds obtained by a Three Alternative Choice Procedure and by the Method of Limits
  14. Comparison of different FEM codes approach for extrusion process analysis
  15. Global Finite-Time Stabilization of Planar Linear Systems With Actuator Saturation
  16. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  17. A Note on Estimation of Empirical Models for Margins of Exports with Unknown Non-linear Functional Forms