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ANALISIS HUBUNGAN MOTIVASI BELAJAR DENGAN AKTIVITAS BELAJAR DAN DAMPAKNYA TERHADAP KETERAMPILAN PROBLEM SOLVING MAHASISWA PADA PERKULIAHAN MORFOLOGI TUMBUHAN [PDF]

open access: yes, 2016
Keterampilan problem solving dikembangkan melalui aktivitas belajar pada perkuliahan morfologi tumbuhan dan ditunjang oleh motivasi belajar. Penelitian ini bertujuan untuk mendeskripsikan hubungan motivasi belajar dan aktivitas belajar terhadap ...
Zumeri, Serly
core  

The effects of motivational climate interventions on psychobiosocial states in high school physical education [PDF]

open access: yes, 2015
Purpose: The purpose of this study was to examine the effects of task- and ego-involving climate manipulations on students’ climate perception and psychobiosocial (PBS) states in a physical education setting. Method: Two subsamples of female students (N =
Bertollo, Maurizio   +4 more
core   +1 more source

Goal-oriented exploration for reinforcement learning

open access: yes, 2022
Apprendre à atteindre des buts est une compétence à acquérir à grande pertinence pratique pour des agents intelligents. Par exemple, ceci englobe de nombreux problèmes de navigation (se diriger vers telle destination), de manipulation robotique (atteindre telle position du bras robotique) ou encore certains jeux (gagner en accomplissant tel objectif ...
openaire   +1 more source

Predicting occurrence of and responses to psychological difficulties: the interplay between achievement goals, perceived ability and motivational climates among Korean athletes [PDF]

open access: yes, 2011
The present study investigated the interrelationship of goal orientations, perceived ability, and perceived motivational climate to the experience of stress, perceived controllability, and choice of coping strategies.
Duda, Joan L.   +2 more
core   +1 more source

Introducing Entropy into Organizational Psychology: An Entropy-Based Proactive Control Model

open access: yesBehavioral Sciences
This paper provides a systematic review of the transfer and quantification of the concept of entropy in multidisciplinary fields and delves into its future applications and research directions in organizational management psychology based on its core ...
Haozhe Jia, Lei Wang
doaj   +1 more source

Innovative learning in action (ILIA) issue three: Employability, enterprise & entrepreneurship [PDF]

open access: yes, 2005
The theme of the 3rd issue of ILIA is Employability, Enterprise and Entrepreneurship, reflecting the University of Salford’s Learning and Teaching Strategy and our Goal “To produce graduates with the skills, creativity, confidence and adaptability to ...
Caruana, V
core  

Deep Reflectance Maps [PDF]

open access: yes, 2015
Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse problem.
Fritz, Mario   +4 more
core   +3 more sources

Learning activity design and scaffolding to promote sustainable changes in student's goal orientation [PDF]

open access: yes, 2015
While previous research has shown that assessments impact how students view the curriculum and influences what they learn and how they learn, the way that students approach their learning is also affected by aspects of the teaching and learning ...
Gardner, A, Willey, K
core  

Dimensionalized goal orientation, innovation climate, and knowledge sharing behavior in higher education research teams

open access: yesHeliyon
Knowledge sharing behavior (KSB) in the work process is governed by achievement goals and organizational environments. It is of great value to focus on whether achievement goal orientation can effectively predict the employees knowledge sharing in the ...
Zhizhu Lei
doaj   +1 more source

Learning goal-oriented agents with limited supervision

open access: yes, 2023
The development of intelligent agents has seen significant progress in the lastdecade, showing impressive capabilities in various tasks, such as video games orrobot navigation. These advances were made possible by the advent of deep reinforcementlearning (RL), which allows to train neural network-based policies,through interaction of the agent with its
openaire   +1 more source

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