Learning to Learn? UN Peacebuilding and the Challenges of Building a Learning Organization

2008 ◽  
Author(s):  
Thorsten Benner ◽  
Philipp Rotmann
Keyword(s):  
Learning Organization ◽  
Learning To Learn

scholarly journals TEACHERS' SELF-ASSESSMENT OF THE COMPETENCIES OF LEARNING TO LEARN AND REFLECTION IN THE CONTEXT OF SCHOOL AS A LEARNING ORGANIZATION

2020 ◽  
Vol 3 ◽  
pp. 109
Author(s):  
Remigijus Bubnys ◽  
Greta Pilkienė ◽  
Benas Gudinavičius
Keyword(s):  
Learning Organization ◽  
Information Search ◽  
Time Distribution ◽  
The Self ◽  
Learning To Learn ◽  
Management Information ◽  
Self Assessment ◽  
Information Skills ◽  
The City ◽  
Time Evaluation

This article analyses teachers' self-assessment of the competencies of learning to learn and reflection in the context of school as a learning organization. The survey in the form of a written questionnaire was performed and 141 teachers of the city of Vilnius have participated in it. The research reveals the self-assessment results of the skills in the field of time evaluation, planning and management; information search, perception, systematization and adaptation; communication and cooperation in group; and reflection. Teachers highlight the sufficiency of the time distribution for tasks and deadlines skills; awareness and lower level skills of systematization of the information; skills of reception of comments from the members of the group, their consideration or the listening and understanding of the views of the members; skills of abstract conceptualization, which are related to drawing conclusions and anticipating ideas for the future. 

Learning To Learn To Learn To …

1979 ◽  
Vol 24 (6) ◽  
pp. 514-515
Author(s):  
PETER B. VAILL
Keyword(s):  
Learning To Learn

Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration

2019 ◽  
Author(s):  
Ritesh Noothigattu ◽  
Djallel Bouneffouf ◽  
Nicholas Mattei ◽  
Rachita Chandra ◽  
Piyush Madan ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Ethical Values ◽  
Large Role ◽  
Learning To Learn ◽  
Inverse Reinforcement Learning ◽  
Time Step ◽  
Novel Approach

Autonomous cyber-physical agents play an increasingly large role in our lives. To ensure that they behave in ways aligned with the values of society, we must develop techniques that allow these agents to not only maximize their reward in an environment, but also to learn and follow the implicit constraints of society. We detail a novel approach that uses inverse reinforcement learning to learn a set of unspecified constraints from demonstrations and reinforcement learning to learn to maximize environmental rewards. A contextual bandit-based orchestrator then picks between the two policies: constraint-based and environment reward-based. The contextual bandit orchestrator allows the agent to mix policies in novel ways, taking the best actions from either a reward-maximizing or constrained policy. In addition, the orchestrator is transparent on which policy is being employed at each time step. We test our algorithms using Pac-Man and show that the agent is able to learn to act optimally, act within the demonstrated constraints, and mix these two functions in complex ways.

PROFIL LEARNING ORGANIZATION PADA MAHASISWA DI UNIVERSITAS KUNINGAN

2015 ◽  
Vol 10 (19) ◽  
Author(s):  
Rani Tania Pratiwi
Keyword(s):  
Mental Models ◽  
Learning Organization ◽  
Indicator System ◽  
System Thinking ◽  
Purposive Sampling ◽  
Personal Mastery

Masalah pada penelitian ini adalah bahwa mahasiswa kurang memahami konsep berorganisasi itu sendiri. Konsep organisasi yang harus mereka pahami adalah konsep organisasi pembelajaran. Sehingga, dalam menjalankan roda organisasi mereka seperti ”bingung”. Metode penelitian yang digunakan adalah penelitian survey dengan jenis penelitian deskriptif. Populasi dalam penelitian ini adalah seluruh mahasiswa Universitas Kuningan. Teknik sampling yang digunakan dalam penelitian ini adalah Purposive Sampling. Teknik pengumpulan data menggunakan kuesioner,Hasil penelitian, maka dapat diketahui mengenai gambaran learning organization pada mahasiswa di Universitas Kuningan. Skor rata-rata diperoleh sebesar 4.1624, hal ini menunjukkan gambaran learning organization pada mahasiswa di Universitas Kuningan sudah baik. Berdasarkan hasil pengolahan angket dapat diketahui bahwa nilai rata-rata terendah terdapat pada indicator system thinking dengan nilai sebesar 4.0423 dan nilai rata-rata tertinggi terdapat pada indicator mental models dengan nilai sebesar 4.4036.Berdasarkan hasil penelitian melalui penyebaran kuesioner, dapat kita ketahui bersama bahwa rata-rata nilai angket terendah diperoleh pada indicator personal mastery pada item No. 09. Maka, dalam hal ini perlu sekali meningkatkan kesadaran anggota organisasi dalam mengutamakan kepentingan organisasi dibandingkan kepentingan pribadi. Selain itu, untuk pengembangan penelitian selanjutnya dapat ditekankan pada upaya peningkatan kemampuan system thinking. Selain itu, dapat juga dilihat pengaruhnya terhadap kompetensi, komitmen, kinerja, maupun variabel lainnya yang terkait.

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