The effects of self‐explaining when learning with text or diagrams

Self‐explaining is an effective metacognitive strategy that can help learners develop deeper understanding of the material they study. This experiment explored if the format of material (i.e., text or diagrams) influences the self‐explanation effect. Twenty subjects were presented with information about the human circulatory system and prompted to self‐explain; 10 received this information in text and 10 in diagrams. Results showed that students given diagrams performed significantly better on post‐tests than students given text. Diagrams students also generated significantly more self‐explanations that text students. Furthermore, the benefits of self‐explaining were much greater in the diagrams condition. To discover why diagrams can promote the self‐explanation effect, results are interpreted with reference to the multiple differences in the semantic, cognitive and affective properties of the texts and diagrams studied.     

Generalized Rough Sets (Preclusivity Fuzzy-Intuitionistic (BZ) Lattices)

The standard Pawlak approach to rough set theory, as an approximation space consisting of a universe U and an equivalence (indiscernibility) relation R U x U, can be equivalently described by the induced preclusivity ("discernibility") relation U x U \ R, which is irreflexive and symmetric.We generalize the notion of approximation space as a pair consisting of a universe U and a discernibility or preclusivity (irreflexive and symmetric) relation, not necessarily induced from an equivalence relation. In this case the "elementary" sets are not mutually disjoint, but all the theory of generalized rough sets can be developed in analogy with the standard Pawlak approach. On the power set of the universe, the algebraic structure of the quasi fuzzy-intuitionistic "classical" (BZ) lattice is introduced and the sets of all "closed" and of all "open" definable sets with the associated complete (in general nondistributive) ortholattice structures are singled out.The rough approximation of any fixed subset of the universe is the pair consisting of the best "open" approximation from the bottom and the best "closed" approximation from the top. The properties of this generalized rough approximation mapping are studied in the context of quasi-BZ lattice structures of "closed-open" ordered pairs (the "algebraic logic" of generalized rough set theory), comparing the results with the standard Pawlak approach. A particular weak form of rough representation is also studied.     

A Logic for Reasoning about Relative Similarity

A similarity relation is a reflexive and symmetric binary relation between objects. Similarity is relative: it depends on the set of properties of objects used in determining their similarity or dissimilarity. A multi-modal logical language for reasoning about relative similarities is presented. The modalities correspond semantically to the upper and lower approximations of a set of objects by similarity relations corresponding to all subsets of a given set of properties of objects. A complete deduction system for the language is presented.     

Minds and Bodies: Human and Divine

Does God have a mind? Western theism has traditionally construed God as an intentional agent who acts on creation and in relation to humankind. God loves, punishes, and redeems. God's intentionality has traditionally been construed in analogy to human intentionality, which in turn has often presumed a supernatural dualism. Developments in cognitive science, however, render supernatural dualism suspect for explaining the human mind. How, then, can we speak of the mind of God? Borrowing from Daniel Dennett's intentional stance, I suggest that analogical reasoning regarding the mind of God be abandoned in favor of an ontologically agnostic approach that treats God as an intentional system. In this approach, God's purposive action is an explanatory feature of the believer's universe, a real pattern that informs our values and beliefs about the world and our place in it.     

Two Books for Teachers

Murphy, Nancey and Ellis, George F. R. On the Moral Nature of the Universe: Theology, Cosmology, and Ethics
Haught, John F. Science and Religion: From Conflict to Conversation     

《尚书》、《左传》、《国语》的心理学思想研究

《尚书》、《左传》、《国语》是我国最古老的三部文献。我国古代的心理学思想有不少都可以在其中找到源头。本文主要讨论：《尚书》的五行观念、人贵论和人性论思想、认知心理思想、个性心理思想、心理测验思想;《左传》的情感心理思想、病理心理思想、文艺心理思想;《国语》的缺陷心理思想。     

WHY A BRAIN CAPABLE OF LANGUAGE EVOLVED ONLY ONCE: PREFRONTAL CORTEX AND SYMBOL LEARNING

Abstract. Language and information processes are critical issues in scientific controversies regarding the qualities that epitomize humanness. Whereas some theorists claim human mental uniqueness with regard to language, others point to successes in teaching language skills to other animals. However, although these animals may learn names for things, they show little ability to utilize a complex framework of symbolic reference. In such a framework, words or other symbols refer not only to objects and concepts but also to sequential and hierarchical relationships with other symbols. This process is essential to human mental operations, including language, mathematics, and music. In humans, these operations may have coevolved with the prefrontal area of the cerebral cortex, which is proportionately much larger in humans than in other animals and more intricately linked with other areas of the brain. Analysis of the structure and function of the prefrontal area suggests that it is centrally involved in the operation of higher-order associative relationships involving the subordination of one set of associations to another. This alternate learning strategy apparently appeared at the cost of certain sensory, motor, or limbic abilities. The payoff was symbolic thinking. Humans thus are unique among species, not just for their highly developed language ability but for their odd style of thinking and learning.     

基于心灵知觉理论的AI服务用户接受机制及使用促进策略

许多企业采用人工智能服务应答顾客需求,然而多项研究指出用户并不总是对此感到满意。本研究围绕着用户对AI的心灵知觉的产生和影响,探索了驱动用户对AI服务态度的关键因素及使用促进策略,包括(1)机理分析层面：用户与AI早期接触的线索和体验因素如何使得人们产生了AI“擅长计算却缺乏感受”的心灵知觉？(2)调节作用层面：不同的用户内部状态和AI外部特征怎样调节了这种心灵知觉的形成和激活？(3)促进策略层面：将AI拟动物化和提供技术援助为何能借助心灵知觉使得用户在更广泛的场景中接受来自AI的服务？本研究试图在学理层面构建一个基于心灵知觉理论的新型AI服务接受模型,为从理论上解释用户对AI服务的矛盾态度提供心理学参考;同时试图在实践层面上借助心灵知觉理论提出两种促进用户接受AI服务的路径方法,为企业在服务中提升AI的应用效能提供技术参考。     

THE COMMUNITY VIEW REVISITED

Abstract: Joining a vast Wittgensteinian anti‐theoretical movement, John Canfield has argued that it is possible to read the claims that (1) “language is essentially communal” and (2) “it is conceptually possible that a Crusoe isolated from birth should speak or follow rules” in such a way that they are perfectly compatible, and, indeed, that Wittgenstein held them both at once. The key to doing this is to drain them of any theoretical content or implications that would put each claim at odds with the other. I argue here, first of all, that it is not possible to detheorize both (1) and (2) and still hope to say anything illuminating about the nature of language. In fact, Canfield himself does not succeed in detheorizing both (1) and (2) but ends up trivializing (1) and leaving (2) with quite a bit of theoretical content. I further argue, however, that this is getting the matter the wrong way around. Contra Canfield et al., it is only when we recognize this that we can appreciate how radical and innovative Wittgenstein's claims about language really are.