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Criticizing Montessori’s Method of Early Childhood Education using Islamic Psychology Perspective

Jurnal Pendidikan Islam, 2019
This study examined critically Montessori’s concepts on early childhood education through Islamic Psychology perspective. This research used qualitative methodology with a literature approach.
Septi Gumiandari, Ilman Nafi'a, Dindin Jamaluddin   +2 more
doaj   +1 more source

Reinforcement and Punishment Shape the Learning Dynamics in fMRI Neurofeedback

Frontiers in Human Neuroscience, 2020
IntroductionNeurofeedback (NF) using real-time functional magnetic resonance imaging (fMRI) has proven to be a valuable neuroscientific tool for probing cognition and promising therapeutic approach for several psychiatric disorders.
Manfred Klöbl, Paul Michenthaler, Godber Mathis Godbersen, Simon Robinson, Simon Robinson, Simon Robinson, Andreas Hahn, Rupert Lanzenberger   +7 more
doaj   +1 more source

Asymmetric and adaptive reward coding via normalized reinforcement learning.

PLoS Computational Biology, 2022
Learning is widely modeled in psychology, neuroscience, and computer science by prediction error-guided reinforcement learning (RL) algorithms. While standard RL assumes linear reward functions, reward-related neural activity is a saturating, nonlinear ...
Kenway Louie
doaj   +1 more source

Developmental Changes in Learning: Computational Mechanisms and Social Influences

Frontiers in Psychology, 2017
Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental ...
Florian Bolenz, Andrea M. F. Reiter, Andrea M. F. Reiter, Ben Eppinger, Ben Eppinger, Ben Eppinger   +5 more
doaj   +1 more source

Human in the loop reinforcement learning framework for adaptive phishing detection

Discover Computing
Phishing attacks remain a persistent threat in cybersecurity, exploiting human psychology to extract confidential information. Conventional machine learning and Reinforcement Learning (RL) approaches often rely on rigid binary reward structures that ...
Sohail Khan
doaj   +1 more source

A new paradigm to study social and physical affordances as model-based reinforcement learning

Cognitive Robotics
Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be ...
Augustin Chartouny, Keivan Amini, Mehdi Khamassi, Benoît Girard   +3 more
doaj   +1 more source

Research on the development of an automated system for psychology questionnaire generation based on large language models.

PLoS ONE
This study reimagined the psychology questionnaire development process using large language model ((LLM) technology, aiming to overcome the protracted preparation cycles and significant human bias inherent in traditional scale development. We developed a
Zhitao Yuan, Chenghao Jia, Man Lan, Lixin Zhao, Zhixian Chen, Mengyuan Yang, Xufeng Liu, Na Ni, Shengjun Wu   +8 more
doaj   +1 more source

The Role of Artificial Intelligence in Gaming

Applied Sciences
Artificial Intelligence (AI) has become a transformative force in the gaming industry, enhancing gameplay mechanics while expanding applications in education, healthcare, and human–computer interaction.
Antonio del Bosque, Pablo Fernández-Arias, Georgios Lampropoulos, Diego Vergara   +3 more
doaj   +1 more source

PENDEKATAN SAINTIFIK DALAM IMPLEMENTASI KURIKULUM 2013 BERDASARKAN KAJIAN TEORI PSIKOLOGI BELAJAR

Edutech, 2014
. The 2013 Curriculum offers a few new things, one of which is the emphasis on the application of the scientific approach. The scientific approach in 2013 Curriculum includes five core activities consisting of several activities as follows: observing ...
Rudi Susilana
doaj   +1 more source

Goal-directed, habitual and Pavlovian prosocial behavior

Frontiers in Behavioral Neuroscience, 2015
Although prosocial behaviors have been widely studied across disciplines, the mechanisms underlying them are not fully understood. Evidence from psychology, biology and economics suggests that prosocial behaviors can be driven by a variety of seemingly ...
Filip eGęsiarz, Molly J. Crockett
doaj   +1 more source