Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Metacognition01:26

Metacognition

1.1K
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...
1.1K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.7K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.7K
Cognitive Learning01:21

Cognitive Learning

1.6K
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...
1.6K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

980
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
980
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

415
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
415
Hindsight Biases01:12

Hindsight Biases

3.5K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Lipid-Coated Mesoporous Silica Particles for pH-Sensitive Tumor-Targeted Paclitaxel: Development, Characterization.

Journal of Cancer·2025
Same author

Circular RNA profiling and functional analysis implicate circ-ANKRD36C as a potential prognostic biomarker in gastric cancer.

BMC gastroenterology·2025
Same author

Bearing fault diagnosis method based on SAGAN and improved ResNet.

Scientific reports·2025
Same author

A Transformer-Based Deep Diffusion Model for Bulk RNA-Seq Deconvolution.

Biology·2025
Same author

Extreme soil moisture conditions is more likely to cause deviations between soil respiration and ecosystem respiration.

Journal of environmental management·2025
Same author

Quantitative characterization of uncertainty in the source apportionment induced by the dual spatial heterogeneity of soil heavy metals.

Journal of hazardous materials·2025

Related Experiment Video

Updated: Apr 28, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

1.2K

Bridging awareness and behavior: decoding implicit metacognitive behaviors in AI-assisted programming via

Xiaojing Hou1, Zhichun Liu1, Guoqiang Wang1

  • 1School of Computer Science, Luoyang Institute of Science and Technology, Luoyang, China.

Frontiers in Psychology
|April 27, 2026
PubMed
Summary

Generative artificial intelligence (AI) interventions significantly improved computer science students' learning behaviors and metacognitive awareness in programming. AI acts as a scaffold, promoting deliberate planning and debugging over trial-and-error.

Keywords:
generative AI in educationhuman–AI interactionmetacognitive scaffoldingprocess data analysisprogramming educationself-regulated learning

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

7.6K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

1.1K

Related Experiment Videos

Last Updated: Apr 28, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

1.2K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

7.6K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

1.1K

Area of Science:

  • Educational Psychology
  • Artificial Intelligence in Education
  • Computer Science Education

Background:

  • Generative AI's potential in programming education is significant but its impact on students' cognitive and behavioral patterns is not well understood.
  • Existing research often overlooks the "black box" of how AI interventions influence internal learning processes.
  • Metacognitive regulation and self-regulated learning are crucial for effective programming, yet their interplay with AI tools needs further investigation.

Purpose of the Study:

  • To investigate the influence of AI-driven interventions on metacognitive regulation and self-regulated learning in computer science undergraduates.
  • To address the "black box" issue by analyzing how AI impacts students' internal cognitive and behavioral patterns during programming tasks.
  • To quantify the effects of AI interventions on implicit planning, monitoring, and regulation processes.

Main Methods:

  • A randomized controlled trial involving 122 Computer Science undergraduates was conducted.
  • Participants were assigned to either an AI-assisted intervention group or a control group within a Python programming course.
  • An AI agent in a customized Jupyter environment monitored behavioral logs and provided process-oriented prompts, with data collected via log analysis and standardized assessments.

Main Results:

  • The AI intervention group demonstrated optimized learning behaviors, shifting from "trial-and-error" to deliberate planning and improved debugging.
  • Significant gains in academic performance were observed in the AI intervention group compared to the control group.
  • Students in the AI group reported enhanced subjective metacognitive awareness.

Conclusions:

  • AI interventions, when designed as process-oriented scaffolds, act as catalysts for self-regulated learning in programming education.
  • AI serves as a psychological scaffold, effectively supporting metacognitive regulation and enhancing learning behaviors.
  • The study provides an evidence-based framework for designing effective AI-powered learning environments in educational psychology.