Submit

Login Login

Register Register

Home / Advanced Search
News & Announcements

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
Show export options
  • Articles
  • Online
Search Results (2)

  • Open Access

    ARTICLE

    Teacher autonomy and teacher job satisfaction: A chain-mediated model of self-efficacy and intrinsic motivation

    Guangqiang Wang1, Hui Bai2, Shuo Wang3, Yangbang Hu4,*

    Journal of Psychology in Africa, Vol.35, No.1, pp. 117-125, 2025, DOI:10.32604/jpa.2025.065785 - 30 April 2025

    Abstract This study aimed to explore the mediating roles of self-efficacy and intrinsic motivation on the relationship between teacher autonomy and teacher job satisfaction. Data were from the Teaching and Learning International Survey (TALIS 2018), with a sample of 3131 junior high school teachers (female = 2337; male = 794) from Shanghai, China. The mediating effect was analyzed using structural equation modeling. The results showed that teacher autonomy was positively associated with teacher job satisfaction, self-efficacy, and intrinsic motivation. Both self-efficacy and intrinsic motivation were associated with teacher job satisfaction. Self-efficacy was associated with teacher intrinsic More >

    View

    1134

    Download

    627

  • Open Access

    ARTICLE

    Implementation of Strangely Behaving Intelligent Agents to Determine Human Intervention During Reinforcement Learning

    Christopher C. Rosser, Wilbur L. Walters, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed*

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 261-277, 2022, DOI:10.32604/jai.2022.039703 - 25 May 2023

    Abstract Intrinsic motivation helps autonomous exploring agents traverse a larger portion of their environments. However, simulations of different learning environments in previous research show that after millions of timesteps of successful training, an intrinsically motivated agent may learn to act in ways unintended by the designer. This potential for unintended actions of autonomous exploring agents poses threats to the environment and humans if operated in the real world. We investigated this topic by using Unity’s Machine Learning Agent Toolkit (ML-Agents) implementation of the Proximal Policy Optimization (PPO) algorithm with the Intrinsic Curiosity Module (ICM) to train autonomous exploring… More >

    View

    1295

    Download

    887

Displaying 1-10 on page 1 of 2. Per Page  

Contact Us

Copyright© 2026 Tech Science Press
© 1997-2026 TSP (Henderson, USA) unless otherwise stated