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Related Concept Videos

Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Introduction to Learning01:18

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Related Experiment Video

Updated: Jun 10, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Multi-stage learning aids applied to hands-on software training.

Kristian Rother1, Magdalena Rother, Alexandra Pleus

  • 1Laboratory of Structural Bioinformatics, Biological Faculty, Adam Mickiewicz University, ul. Umultowska 89, 61-614 Poznan, Poland. krother@genesilico.pl

Briefings in Bioinformatics
|July 27, 2010
PubMed
Summary
This summary is machine-generated.

Multi-stage learning aids, using hint and answer cards, help trainees with diverse backgrounds learn complex bioinformatics software like PyMOL at a similar pace. This method enhances hands-on software training effectiveness.

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Area of Science:

  • Bioinformatics
  • Educational Technology
  • Molecular Visualization

Background:

  • Hands-on bioinformatics software tutorials face challenges due to trainees' varied backgrounds and learning speeds.
  • Traditional training methods struggle to accommodate diverse learner needs effectively.

Purpose of the Study:

  • To demonstrate the efficacy of multi-stage learning aids in improving hands-on bioinformatics software training.
  • To enable trainees with heterogeneous backgrounds to progress at a similar pace during complex software tutorials.

Main Methods:

  • Implemented a multi-stage learning aid system using hint and answer cards for a PyMOL molecular viewer tutorial.
  • Trainees navigated a complex task using self-guided learning aids.

Main Results:

  • Trainees successfully completed the complex PyMOL task using the multi-stage learning aids.
  • Positive trainee feedback indicated self-dependent progress and task completion.
  • The trainer gained additional time for individualized support.

Conclusions:

  • Multi-stage learning aids effectively address the challenges of heterogeneous backgrounds in hands-on software training.
  • This approach offers a superior alternative to established methods for bioinformatics software education.
  • The self-guided nature of the aids promotes learner autonomy and training success.