- The human information processing system—The “learning engine”

2018 ◽  
Vol 39 (3) ◽  
pp. 233-241 ◽  
Author(s):  
Joseph Sharit ◽  
Sara J. Czaja

The importance to older adults of being able to learn to perform activities related to leisure, work, or daily living for maintaining independence and a good quality of life is unquestionable. An appreciation of the challenges that older adults face during learning, as well as insights into ways to help them overcome these challenges, whether through design or instruction, can be obtained through a basic understanding of human information processing. The purpose of this article is to facilitate this understanding within the context of older adult learning. The article begins with an overview of the human information-processing system and cognitive limitations and capabilities associated with aging. Critical components of the information-processing system are then revisited in greater detail from the perspective of older adult information-processing capabilities. Concepts are illustrated through examples to demonstrate how older adults could make more efficient use of their information-processing resources during learning.


Author(s):  
Meryem Sevinc ◽  
Lawrence Locker ◽  
John D. Murray

In the contemporary context of knowledge discovery, the amount of information and the process itself has increased in complexity. Relevant to the present chapter is the increased reliance on automaticity in knowledge discovery. Although, there are positive benefits of automation, there is reason to believe that a process that emphasizes greater human participation may produce more meaningful results. Through a description of the human information processing system and its attributes, this chapter discusses why an analyst-centered approach to a knowledge discovery system is a desirable goal. We argue that a perspective based on cognitive psychology can serve as a useful guide in achieving a desirable synergy between automated knowledge discovery tools and the human analyst.


Nano Energy ◽  
2021 ◽  
pp. 106197
Author(s):  
Qianqian Shi ◽  
Dapeng Liu ◽  
Dandan Hao ◽  
Junyao Zhang ◽  
Li Tian ◽  
...  

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