scholarly journals Learning environment simulator for decision making in severe weather

2010 ◽  
Author(s):  
Dennis R. Powell ◽  
Rene J. LeClaire
Keyword(s):  
Decision Making ◽  
Learning Environment ◽  
Severe Weather

Emergency management decision-making during severe weather

2006 ◽  
Author(s):  
Leigh A. Baumgart ◽  
Ellen J. Bass ◽  
Brenda Philips ◽  
Kevin Kloesel
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Severe Weather ◽  
Management Decision ◽  
Management Decision Making

scholarly journals Decision Making in the Connected Learning Environment (CLE)

2016 ◽  
Vol 3 (9) ◽  
pp. 151118
Author(s):  
Anas Belahcen ◽  
Mounia Abik ◽  
Rachida Ajhoun
Keyword(s):  
Decision Making ◽  
Learning Environment ◽  
Connected Learning

Designing Purposeful Student Interactions to Advance Synchronous Learning Experiences

2021 ◽  
pp. 1228-1245
Author(s):  
Courtney K. Baker ◽  
Margret Hjalmarson
Keyword(s):  
Decision Making ◽  
Learning Environment ◽  
Teacher Leaders ◽  
Learning Opportunities ◽  
Specific Interactions ◽  
Student Interactions ◽  
Synchronous Learning ◽  
Self Study ◽  
Collaborative Learning Environment ◽  
Instructional Decision

This article brings together the results of a self-study conducted by two instructors of the same course for mathematics teacher leaders in a synchronous online learning environment using the videoconferencing tool Blackboard Collaborate. The combined self-study focused on the authors' instructional decision-making and on their use of scaffolded discourse to create a collaborative learning environment for teacher leaders in mathematics education. Findings indicate that two specific interactions were emphasized to highlight student engagement within the course: student-student interactions and student-content interactions. Results challenge the perception of participation as engagement and suggest the value of creating purposefully planned learning opportunities to engage students in online synchronous learning.

scholarly journals Strategic Tasks for Explainable Reinforcement Learning

2019 ◽  
Vol 33 ◽  
pp. 10007-10008 ◽  
Author(s):  
Rey Pocius ◽  
Lawrence Neal ◽  
Alan Fern
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Learning Environment ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Sequential Decision Making ◽  
Sequential Decision ◽  
Level Control ◽  
Mini Games ◽  
High Level

Commonly used sequential decision making tasks such as the games in the Arcade Learning Environment (ALE) provide rich observation spaces suitable for deep reinforcement learning. However, they consist mostly of low-level control tasks which are of limited use for the development of explainable artificial intelligence(XAI) due to the fine temporal resolution of the tasks. Many of these domains also lack built-in high level abstractions and symbols. Existing tasks that provide for both strategic decision-making and rich observation spaces are either difficult to simulate or are intractable. We provide a set of new strategic decision-making tasks specialized for the development and evaluation of explainable AI methods, built as constrained mini-games within the StarCraft II Learning Environment.

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