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    Reading Habits, Language Learning Achievements and Principles for Deep Knowledge

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    Abstract This paper intends to understand how the nine principles for deep knowledge (PDK) affect reading habits and language achievements by conducting a small-scale, experimental and statistical study. All 32 students participating in this study exhibit significant traits of PDK. The results suggest that inner-connection principle significantly correlates with academic performances. Deep-and-down and alternating principles significantly correlate with reading habits. Meanwhile, inner-connection principle effectively predicts academic performances and deep-and-low principle effectively forecasts reading habits. The mediating effect of PDK on language achievement is not statistically significant, possibly due to sample size, but nonetheless relevant and valuable to the prediction of reading habits. The development of reading habits for English-language materials takes a long time and good reading habits absolutely have profound impacts on the effectiveness of language learning. The integration of PDK characteristics into the establishment of reading habits can help build good habits in a more effective manner

    WORKING KNOWLEDGE MINING BY PRINCIPLES FOR DEEP KNOWLEDGE

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    We usually use a set of ideas, thinking paradigms and judgment rules, including alternatives, criteria, outcomes, preferences, to make decision. This set, known as actual domain (working knowledge) of habitual domain, will be stabilized over time unless extraordinary events occur. As such, our working knowledge cannot be broad and deep. Inevitably, we could get into decision traps, which lead us to making wrong decision or solving wrong problems. The actual domain is only a small part of our potential domain, the collection of all thoughts, ideas, thinking paradigms, etc. that have ever been encoded in our brain. In this paper, we will describe nine principles for deep knowledge, so that, we could expand and enrich our working knowledge by utilizing the potential domains of ourselves and other participants in the decision making. As a consequence, good ideas for solving challenging decision problems can be obtained or created. These principles are: The deep and down principle, the alternating principle, the contrasting and complementing principle, the revolving and cycling principle, the inner connection principle, the changing and transforming principle, the contradiction principle, the cracking and ripping principle, the void principle.Working knowledge, actual domains, potential domains, deep and down principle, the alternating principle, the contrasting and complementing principle, the revolving and cycling principle, the inner connection principle, the changing and transforming principle, contradiction principle, the cracking and ripping principle, the void principle

    WORKING KNOWLEDGE MINING BY PRINCIPLES FOR DEEP KNOWLEDGE

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