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Self-Presentation: Self-Monitoring and Self-Handicapping02:05

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People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
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Metacognition01:26

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Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
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Cognitive Learning01:21

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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.
Tolman introduced the idea that behavior is influenced by...
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Observational Learning01:12

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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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Steps in the Modeling Process01:14

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

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According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
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Designing Visual and Interactive Self-Monitoring Interventions to Facilitate Learning: Insights From Informal

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    Informal learners need better tools to self-monitor computational skill development. Personalized filtering of learning data is key for reflection and planning, enhancing self-directed learning.

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    Area of Science:

    • Computer Science Education
    • Human-Computer Interaction
    • Learning Sciences

    Background:

    • Informal learners struggle with self-directed learning in computational skills across various platforms.
    • Self-monitoring interventions from health and productivity offer models for learning support.
    • Existing tools may not adequately support learner reflection and data interpretation.

    Purpose of the Study:

    • To identify requirements for self-monitoring tools supporting informal computational skill learners.
    • To explore design approaches for capturing and presenting learner data.
    • To understand how learners can best reflect on and utilize their learning history.

    Main Methods:

    • Conducted two elicitation studies using article-based and interactive probes.
    • Explored manual, automatic, and semi-automatic data capture and presentation methods.
    • Gathered expert insights on data collection, reflection design, and field studies.

    Main Results:

    • Automatically generated overviews increase awareness but require learner control.
    • Learners prefer personalized filtering options for data manipulation.
    • Expert input highlighted critical factors for real-world self-monitoring tool design.

    Conclusions:

    • Learner-centered self-monitoring interventions require interactive and customizable data visualizations.
    • Effective tools should empower learners to reflect, plan, and seek feedback.
    • Design considerations must include data collection, reflection support, and practical implementation.