问题之间共性关系的意识水平对平面几何解题迁移的影响

Transfer of learning is one of the major concepts in educational psychology. As cognitive psychology develops, many researchers have found that transfer plays an important part in problem solving, and the awareness of the similarity of related problems is important in transfer. So they become more interested in researching the problem of transfer. But in the literature of transfer research, it has been found that many researchers do not hold identical conclusions about the influence of awareness of related problems during problem solving transfer. This dissertation is written on the basic of much of sub-research work, such as looking up literature concerning transfer of problem solving research, comparing the results of research work done recently and experimental researches. The author of this dissertation takes middle school students as subjects, geometry as materials, and adopts factorial design in his experiments. The influence of awareness of related problems on problem solving transfer is examined from three dimensions which are the degree of difficulty of transfer problems, the level of awareness of related problems and the characteristics of subjects themselves. Five conclusions have been made after the experimental research: (1) During the process of geometry problem solving, the level of awareness of related problems is one of the major factors that influence the effect of problem solving transfer. (2) Either more difficult or more easy of the transfer problems will hinder the influence of awareness of related problems during problem solving transfer, and the degree of difficulty of the transfer problems have interactions with the level of awareness of related problems in affecting transfer. (3) During geometry problems solving transfer, the level of awareness of related problems has interactions with the degree of student achievement. Compared with the students who have lower achievement, the influence of the level of the awareness is bigger in the students who have higher achievement. (4) There is positive correlation between geometry achievement and reasoning ability of the middle school students. The student who has higher reasoning ability has higher geometry achievement, while the level of awareness is raised, the transfer achievement of both can be raised significantly. (5) There is positive correlation between geometry achievement and cognitive style of the middle school students. The student who has independent field tendency of cognitive style has higher geometry achievement, while the level of awareness is raised, the transfer achievement of both can be raised significantly. At the end of the dissertation, the researcher offers two proposals concerning Geometry teaching on the basis of the research findings.

比较型算术应用题一致性效应的实验研究

As former research shown, the error rate of consistent compare word problem (such as: Mary has 5 apples, Tom has 2 apples more than Mary, how many apples does Tom has?) is much lower than the rate of inconsistent compare word problem (such as: Mary has 5 apples, she has 2 apples more than Tom, how many apples does Tom has?). This difference of error rate is named as Consistency Effect. There are different explanations about why consistency effect happens, one of them is R.E.Mayer's opinion about two kinds of problem solving strategies. As Mayer's opinion, unsuccessful problem solvers make mistakes on inconsistent problem because they use Direct Translation Strategy, problem solvers who use Problem Model Strategy will not make such kind of mistakes. In this study, three experiments with 3~(rd) graders investigate reasons for the consistency effect. The results of experiment 1 do not support the explanation of Mayer's theory of two kinds of strategy. Experiment 2 shows that there is no relation between inconsistent problem error and Impulsivity cognitive style. Experiment 3 reveals that the working memory capacity of successful inconsistent problem solvers is significant larger than the capacity of unsuccessful solvers. It is supposed that working memory could be an important factor contributing for the consistency effect.

平面几何问题解决过程中的元认知实验研究

This study was based on the cognitive-metacognitive model of mathematical problem solving established by Lester & Garofalo(1985). The method of protocal analysis was used and 19 excellent students(9 male and 10 female) & 19 learning-disabled students(11 male and 8 female) in middle school(grade 3)were tested and interviewed during they solved plane geometry problems. The main results showed as follows: (1) There was a significant difference between excellent students and learning-disabled students on time-assignment when they solved plane geometry problems. Excellent students used more time on phase organization and less time on phase execution. There was no difference on phases orientation and verification. (2) Excellent students showed higher metacognitive level than learning-disabled students. The deference existed in phases orientation and organization. Excellent students reported more metacognitive sentences in phases orientation and organization than learning-disabled students. They had more self-awareness and goal-awareness. They had more "knowledge about what they know" and "knowledge about what they should use". They designed more globle goal and subgoals and made more self-evaluation. (3) Both the excellent students' and learning-disabled students' self-checking level should be improved.

中学生问题解决中操作要求对资源分配的影响

Schema acquisition is one of the mechanisms of learning. How to design reasonable teaching material to promote schema acquisition is an important question that psychological researchers and educators both interested. Cognitive Load Theory indicates that: The cognitive resource of Human is limited, the organization and presentation of the learning material should avoid demanding the learner consume resource in actions that have nothing to do with schema acquisition. How can we do that? Sweller. J. et think: Increasing the operation cost of the learning material would make the students put more resource into the implementation of the operation, this kind of resource consuming has nothing to do with schema acquisition. So, in order to make the students put more resource into actions which relating to schema acquisition, we should decrease the operation cost of the learning material. But, the research results of O'Hara et indicate: In problem-solving of knowledge lean field, increasing the operation cost would make the college students invent more resource to plan and understanding actions. So, Increasing the operation cost would facilitate the schema acquisition. How operation cost will effect the Middle-School Students' (MSS) schema acquisition and resource distribution when they solve problems of knowledge lean/rich field? This is the main question this research want to make inquiry. IN this research, we use three experiments indicate: Increasing the operation cost of actions, the implementing action would be less and the planning action would be more. So, increasing the operation cost can promote the schema acquisition. We use "cost-benefit analysis" strategy to explain this result. This strategy means that: Human is rational, before doing one action, he will weigh the cost and the coming benefit of this action, if the coming benefit is higher than the cost, he will implement this action; if the cost is higher than the coming benefit, this action will be contained. On the one hand, this research further affirms the core opinion of the Cognitive Load Theory: Human's cognitive resource is limited, we should put the limited resource into actions which is related to the schema acquisition; On the other hand, for the learning material designing principle which is advanced by the Cognitive Load Theory, we raise our questions. Besides, the question we raised holds some identical views with the constructive learning opinion: Learning is not passive information absorption, but positively constructing the meaning of the information, besides, this kind of construction can't done by others. The result of this research can provide some theory guidance and experimental basis for the designing of the MSS's science teaching material from a complete new angle.

不同学习策略对改变学生物理要领错误的影响

In the field of misconceptions research, previous research was focused mainly on the effect of naive concepts on the learning of scientific concept. In this study, from the viewpoint of declarative and procedural knowledge, conceptual errors on Newtonian mechanics were studied comparatively between high-performance and low-performance students. Furthermore, the effects of self-explain learning strategies and reflective learning on the change of subjects' conceptual errors were explored. The result of experiments indicated: 1. There was significant difference in the number of conceptual errors of declarative and procedural knowledge between high-performance students and low-performance students. And Low-performance students made more conceptual errors of procedural knowledge than that of declarative knowledge. For high-performance students, there was no distinct difference between these two kinds of errors. 2. In the distribution of conceptual errors, most errors of declarative knowledge were mainly focused on the understanding of concepts of friction and acceleration. The errors of procedure knowledge most errors concentrated on the judgment of vector direction and the conceptual understanding. 3. Compared with high-performance students, the representation of conceptual declarative knowledge of low-performance students is less complex, more concrete and context bound. 4. The comparative analysis of problem-solving strategies showed: high-performance students preferred to apply analytic strategy, solving problems based on physical concepts and principles; low-performance students preferred to use context strategy, solving problem according to the literal meaning of problems, subjective and groundless presumption and wrong concepts and principles. 5. Self-explain strategies can help students correct their conceptual errors effectively. Reflective learning could help students to correct the concept errors in some degree, but the distinct effect was not observed.

对癌症生存者应对资源的研究

A survey study of cancer survivors was conducted to explore the coping resources, which buffers the life of cancer survivors against stressful situation. Participants reported coping strategies, positive affect and negative affect, personality, perceived social support, fighting spirit and helpless/hopeless as well as quality of life through a set of self-assessment questionnaire. The results indicated that the frequency of coping strategies used by cancer survivors from high to low were: growing, problem solving, seeking support,self-controlling, wishful thinking, and distancing. The correlational analysis indicated that among the six sets of coping strategies, growing was positively correlated most strongly with most of the dimensions in quality of life as well as positive affect. Among the five personality, Neuroticism was positively correlated most strongly with helpless/hopeless and negative affect; and was negatively correlated most strongly with fighting spirit and positive affect. Extraversion was positively correlated most strongly with positive affect and negatively correlated most strongly with helpless/hopeless; Agreeableness was negatively correlated most strongly with negative affect; Conscientiousness was positively correlated most strongly with fighting spirit. Subjects with higher score in quality of life reported higher frequency of coping strategies in growing and problem solving and less in wishful thinking. They also reported higher scores in Extraversion, Agreeableness, Conscientiousness as well as lower scores in Neuroticism. The regression analysis displayed that not negative affect but positive affect entered the regression model when all the psychological and social variables in the study were accounted for. Taken together, these data suggested that, growing was the most effective coping strategy among the six sets of strategies for cancer survivors to improve quality of life, to maintain positive affect and to enhance fighting spirit. Neuroticism was vulnerable to resist stressors; Extraversion, Agreeableness, and Conscientiousness were stress-resisted factors. Positive affect may has more adaptational significance than negative affect during chronic stress. These data also implicated that positive affect should be paid more attention to in coping research.

弈棋问题解决启发式的元策略模型

Problem solving is one of the basic processes of human cognition and heuristic strategy is the key to human problem solving, hence, the studies on heuristic strategy is of great importance in cognitive psychology. Current studies on heuristics in problem solving may be summarized as follows: nature and structure of heuristics, problem structure and representation, expert knowledge and expert intuition, nature and role of image, social cognition and social learning. The present study deals with the nature and structure of heuristics. The Solitaire problem was used in our the experiments. Both traditional experimental method and computer simulation were used to study the nature and structure of heuristics. Through a series of experiments, the knowledge of Solitaire problem solving was summed up, its metastrategy is worked out, and then the the metastrategy by computer simulation and experimental verification are tested.

大学生应激应付研究

In this study, we made research on coping with stress in undergraduate students. The whole work included two parts: (a) We developed the Coping Strategies Questionnaire and had it tested. Five kinds of coping strategies were found by factor analysis: Problem Solving, Passive Acceptance, Support Seeking, Emotion Regulation, and Unadaptation. The reliability and validity coefficients of the questionnaire was high. (b) We examined the relations among personality characteristics (Locus of control, Extraversion, Neuroticism), emotion state, cognitive appraisal (psychological pressure, controllability, resource of social support), and the specific coping processes in several specific stressful events. The results indicated that coping have some degree of consistency across different situations which suggested that there is a general coping tendency, and that this general coping tendency, in addition to the above considered variables, have different degree of effects on subjects' choice of specific coping strategies. Finally, theoretical model of the relationship was tested through path analysis.

问题解决及学习中的条件认知水平

Learning to recognize the conditions under which actions should be considered is a crucial component in the acquisition of cognitive skill. This research focus on the way in which conditions are recognized during problem solving, so as to design effective material for learning through problem solving. The results of experiment I indicated that the subjects abstracted contents from different resources as condition at structural level through out the whole process of problem solving. The results of experiment 2 indicated that the efficiency of learning through problem solving could be greatly improved by emphasizing the recognization of conditions at structural level. The implications for both theory and application are discussed.

Meta-Rules: Reasoning About Control

How can we insure that knowledge embedded in a program is applied effectively? Traditionally the answer to this question has been sought in different problem solving paradigms and in different approaches to encoding and indexing knowledge. Each of these is useful with a certain variety of problem, but they all share a common problem: they become ineffective in the face of a sufficiently large knowledge base. How then can we make it possible for a system to continue to function in the face of a very large number of plausibly useful chunks of knowledge? In response to this question we propose a framework for viewing issues of knowledge indexing and retrieval, a framework that includes what appears to be a useful perspective on the concept of a strategy. We view strategies as a means of controlling invocation in situations where traditional selection mechanisms become ineffective. We examine ways to effect such control, and describe meta-rules, a means of specifying strategies which offers a number of advantages. We consider at some length how and when it is useful to reason about control, and explore the advantages meta-rules offer for doing this.

Combining Associational and Causal Reasoning to Solve Interpretation and Planning Problems

This report describes a paradigm for combining associational and causal reasoning to achieve efficient and robust problem-solving behavior. The Generate, Test and Debug (GTD) paradigm generates initial hypotheses using associational (heuristic) rules. The tester verifies hypotheses, supplying the debugger with causal explanations for bugs found if the test fails. The debugger uses domain-independent causal reasoning techniques to repair hypotheses, analyzing domain models and the causal explanations produced by the tester to determine how to replace faulty assumptions made by the generator. We analyze the strengths and weaknesses of associational and causal reasoning techniques, and present a theory of debugging plans and interpretations. The GTD paradigm has been implemented and tested in the domains of geologic interpretation, the blocks world, and Tower of Hanoi problems.

Computation and Pre-Parametric Design

My work is broadly concerned with the question "How can designs bessynthesized computationally?" The project deals primarily with mechanical devices and focuses on pre-parametric design: design at the level of detail of a blackboard sketch rather than at the level of detail of an engineering drawing. I explore the project ideas in the domain of single-input single-output dynamic systems, like pressure gauges, accelerometers, and pneumatic cylinders. The problem solution consists of two steps: 1) generate a schematic description of the device in terms of idealized functional elements, and then 2) from the schematic description generate a physical description.

ARLO: Another Representation Language Offer

This paper describes ARLO, a representation language loosely modelled after Greiner and Lenant's RLL-1. ARLO is a structure-based representation language for describing structure-based representation languages, including itself. A given representation language is specified in ARLO by a collection of structures describing how its descriptions are interpreted, defaulted, and verified. This high level description is compiles into lisp code and ARLO structures whose interpretation fulfills the specified semantics of the representation. In addition, ARLO itself- as a representation language for expressing and compiling partial and complete language specifications- is described and interpreted in the same manner as the language it describes and implements. This self-description can be extended of modified to expand or alter the expressive power of ARLO's initial configuration. Languages which describe themselves like ARLO- provide powerful mediums for systems which perform automatic self-modification, optimization, debugging, or documentation. AI systems implemented in such a self-descriptive language can reflect on their own capabilities and limitations, applying general learning and problem solving strategies to enlarge or alleviate them.

Qualitative Process Theory

Objects move, collide, flow, bend, heat up, cool down, stretch, compress and boil. These and other things that cause changes in objects over time are intuitively characterized as processes. To understand common sense physical reasoning and make programs that interact with the physical world as well as people do we must understand qualitative reasoning about processes, when they will occur, their effects, and when they will stop. Qualitative Process theory defines a simple notion of physical process that appears useful as a language in which to write dynamical theories. Reasoning about processes also motivates a new qualitative representation for quantity in terms of inequalities, called quantity space. This report describes the basic concepts of Qualitative Process theory, several different kinds of reasoning that can be performed with them, and discusses its impact on other issues in common sense reasoning about the physical world, such as causal reasoning and measurement interpretation. Several extended examples illustrate the utility of the theory, including figuring out that a boiler can blow up, that an oscillator with friction will eventually stop, and how to say that you can pull with a string but not push with it. This report also describes GIZMO, an implemented computer program which uses Qualitative Process theory to make predictions and interpret simple measurements. The represnetations and algorithms used in GIZMO are described in detail, and illustrated using several examples.

A Computational Model of Skill Acquisition

This thesis confronts the nature of the process of learning an intellectual skill, the ability to solve problems efficiently in a particular domain of discourse. The investigation is synthetic; a computational performance model, HACKER, is displayed. Hacker is a computer problem-solving system whose performance improves with practice. HACKER maintains performance knowledge as a library of procedures indexed by descriptions of the problem types for which the procedures are appropriate. When applied to a problem, HACKER tries to use a procedure from this "Answer Library". If no procedure is found to be applicable, HACKER writes one using more general knowledge of the problem domain and of programming techniques. This new program may be generalized and added to the Answer Library.