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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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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.
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Purposive Learning01:22

Purposive Learning

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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...
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Creative Thinking01:25

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Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
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Introduction to Learning01:18

Introduction to Learning

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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.
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Visual System01:26

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using

Jonathan C Roberts, Panagiotis D Ritsos, James R Jackson

    IEEE Transactions on Visualization and Computer Graphics
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    Summary
    This summary is machine-generated.

    This study introduces a three-stage framework to train creative visualization specialists. The project-based learning approach empowers students to develop innovative and effective data visualizations through algorithm explanation.

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    Area of Science:

    • Data Visualization Education
    • Creative Design Training

    Background:

    • Visualizations are increasingly prevalent in media and workplaces.
    • There's a growing demand for professionals skilled in visualization analysis, design, and innovation.

    Purpose of the Study:

    • To present an effective learning strategy for cultivating creative visualization specialists.
    • To address the educational challenges posed by the democratization of visualization.

    Main Methods:

    • A three-stage learning framework is proposed.
    • Learners create explanatory visualizations of chosen algorithms.
    • Active-learning and project-based strategies are employed.

    Main Results:

    • The framework guides learners through skill development for creative visualization.
    • Learners gain ownership of visualization challenges, fostering enthusiasm.
    • Students develop diverse creative skills throughout the learning journey.

    Conclusions:

    • The proposed framework effectively trains students in creating purposeful and innovative visualizations.
    • Project-based learning enhances learner engagement and skill acquisition in data visualization.