In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…

Since the 1960s, researchers have been trying to optimize the sequencing of instructional activities using the tools of reinforcement learning (RL) and sequential decision making under uncertainty. Many researchers have realized that reinforcement learning provides a natural framework for optimal instructional sequencing given a particular model…

Sequential action makes up the bulk of human daily activity, and yet much remains unknown about how people learn such actions. In one motor learning paradigm, the serial reaction time (SRT) task, people are taught a consistent sequence of button presses by cueing them with the next target response. However, the SRT task only records keypress…

A theory devised initially on the basis of instrumental reward schedule data, such as the PREE, was extended to deal with various Pavlovian findings. These Pavlovian findings include blocking, unblocking, relative validity, positive and negative patterning, renewal, reinstatement, reacquisition, and inhibition. In addition, the sequential model…

The Assessment of Basic Learning Abilities (ABLA) test requires a tester to attempt to teach to a person, using standard prompting and reinforcement procedures, six tasks that are hierarchically ordered in difficulty. Performance on the test provides valuable information for teachers and rehabilitation workers to match the difficulty of training…

On cyclic-interval reinforcement schedules, animals typically show a postreinforcement pause that is a function of the immediately preceding time interval ("temporal tracking"). Animals, however, do not track single-alternation schedules--when two different intervals are presented in strict alternation on successive trials. In this experiment,…

Reviews possible sources of reinforcement in computer assisted instruction and systematic utilization of these sources in courseware design. Sources reviewed include reinforcement from the machine itself; from the content of the instructional modules and its arrangement in a learning sequence; and from sources external to the modules. (MBR)

Presents guidelines for developing computer-assisted instructional materials that are based on theoretical instructional theories, including behaviorism; neobehaviorism (imitation and modeling); information processing; cognitive psychology; and learning styles. Guidelines highlight feedback and reinforcement, practice opportunities, sequencing,…

Looks at effective teaching research in order to identify a "correct" teaching sequence. Analyzes rehearsals to determine how teachers with varied levels of training and experience conformed to the optimal sequence. Finds that teachers spent too little time in correct sequences and failed to use enough positive reinforcement. (Author/LS)