Learning Nuggets for Cobot Education: A Conceptual Framework, Implementation, and Evaluation of Adaptive Learning Content

2021 ◽  
Author(s):  
Walter Mayrhofer ◽  
Steffen Nixdorf ◽  
Clara Fischer ◽  
Tanja Zigart ◽  
Christina Schmidbauer ◽  
...  
Keyword(s):  
Conceptual Framework ◽  
Adaptive Learning ◽  
Learning Content

scholarly journals Decision Science for Future Earth: A Conceptual Framework

2021 ◽  
pp. 3-64
Author(s):  
Tetsukazu Yahara ◽  
Wataru Tanaka ◽  
Yukako Inoue ◽  
Jounghun Lee ◽  
Kun Qian ◽  
...  
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Conceptual Framework ◽  
Adaptive Learning ◽  
Evolutionary Biology ◽  
Cognitive Biases ◽  
Local Communities ◽  
Decision Science ◽  
Global Trends ◽  
Success Stories

AbstractThe purpose of this chapter is to review progress in our understanding of human behavior and decision-making relevant to future earth research agenda, and propose Decision Science as a hub of knowledge networks connecting disciplinary and interdisciplinary sciences with the practice of problem-solving. This review is composed of four sections. First, we describe the conceptual framework of “decision science for a sustainable society” and argue that evolutionary biology of the human nature is key to construct this framework. Second, we review how our group decision-making often fails due to various cognitive biases and argue that participatory approaches of co-design and co-production do not guarantee reasonable decision-making. Third, we review success stories of problem-solving in local communities and consider how we can connect those successes in local communities to successful national and global decision-making. Fourth, learning from both failures and successes, we argue that the adaptive learning of society is a process enabling us to transform our society toward a sustainable future. We review some positive global trends toward sustainability and consider the cognitive processes and behavioral mechanisms behind those trends that would provide clues for finding successful ways to transform our society.

The Construction of an Ontology-Based Ubiquitous Learning Grid

2011 ◽  
pp. 191-212
Author(s):  
Ching-Jung Liao ◽  
Chien-Chih Chou ◽  
Jin-Tan David Yang
Keyword(s):  
Learning Environment ◽  
Ubiquitous Computing ◽  
Adaptive Learning ◽  
Experimental Results ◽  
Background Information ◽  
Ubiquitous Learning ◽  
Ubiquitous Computing Environment ◽  
Java Programming ◽  
Learning Content ◽  
Information Awareness

The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an ontology-based ubiquitous learning grid (OULG) was proposed to resolve the difficulties concerning how to adapt learning environment for different learners, devices, places. OULG through ontology identifying and adapting in the aspects of domain, task, devices, and background information awareness, so that the adaptive learning content could be delivered. A total of 42 freshmen participate in this study for four months to learn Java programming. Both of pretesting and posttesting are performed to ensure that the OULG is useful. Experimental results demonstrate that OULG is feasibile and effective in facilitating learning.

scholarly journals A conceptual framework on constructing effective learning content for programming novices

2018 ◽  
Vol 7 (2.15) ◽  
pp. 150
Author(s):  
Swee Ling Chean ◽  
Sin Ban Ho ◽  
Ian Chai
Keyword(s):  
Conceptual Framework ◽  
Teaching And Learning ◽  
Content Management ◽  
Learning System ◽  
Educational Systems ◽  
Skill Levels ◽  
Effective Learning ◽  
Learning Content ◽  
E Learning ◽  
Learning Programming

An e-learning system provides a platform for communication between the educators and the students. It facilitates the sharing of information and learning content in a form, which can be easily accessed by the users. In e-learning educational systems, a learning content management system (LCMS) is commonly used for developing and managing learning content. An overly comprehensive LCMS might not suit the needs for all domains such as learning programming for novice learners. Teaching novice programming learners is not an easy task as mentioned in many studies. Complicated explanations and boring teaching methods cause loss of interest in learning programming. Many educational studies have been carried out with different aspects and approaches to improve teaching and learning programming in school and tertiary levels of study. This paper proposes a conceptual framework for constructing effective learning content. It is challenging for Malaysian educators to design and prepare learning content that allows programming novices to learn at their own pace and skill levels. It is believed that an effective learning content framework would benefit educators who intend to start teaching programming to novices. 

Realization of Adaptive Learning Content Based on Learning Object and Domain Ontology

2010 ◽  
Vol 171-172 ◽  
pp. 527-530
Author(s):  
Xu Wei
Keyword(s):  
Information Technology ◽  
Adaptive Learning ◽  
New Technologies ◽  
Domain Ontology ◽  
Learning System ◽  
Learning Object ◽  
Modern Education ◽  
Learning Content ◽  
E Learning ◽  
Adaptive Content

With the evolution of information technology, E-learning has spread rapidly. Traditional E-learning has proved not fit requirement of modern education, new trend of developing the adaptive and customized E-learning system draws more and more attentions from researchers and practitioners. In this paper, we proposed an E-learning system which can provide adaptive content according to different situations of user. To achieve the adaptive E-learning system, two new technologies have been adopted by the system: learning object and domain ontology. Using these two technologies the system can provide intelligent learning content based on the user’s context, knowledge’s context. The paper also presents a scenario to demonstrate the step of production of adaptive learning content.

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