基于认知神经科学视角的多媒体学习认知理论创新

Mayer多媒体学习的认知理论模型涉及感觉记忆、工作记忆、长时记忆三大基本部件和五大认知加工过程,但其科学基础仍有待深入考察。认知神经科学对感觉记忆、工作记忆和长时记忆的探索成果为多媒体学习认知理论奠定了更为深层的科学基础。认知神经科学认为,感觉记忆中的视觉记忆和声觉记忆在信息存储量、表征与编码、保持时间等方面存在互补,为多媒体学习认知理论中＂双重通道假设＂提供了更深层次的科学基础。工作记忆是多媒体学习认知加工过程的主要处理单元,认知神经科学基于脑成像技术提出的工作记忆加工成分结构及其功能定位模型和语音短时记忆功能模型,揭示了工作记忆中的信息处理机制,进一步推进了对工作记忆的基础研究。认知神经科学将长时记忆分为陈述性记忆和程序性记忆,长时记忆中信息存储的层次网络模型、激活扩散模型、集理论模型等更深入地推进了多媒体学习认知加工过程的科学基础。德国心理学家Schnotz从描述性表征和描绘性表征两个方面提出了多媒体学习＂图文理解整合模型＂（ITPC）,这一模型揭示了图文理解的过程机制,是当前多媒体学习认知理论模型的最新发展成果。     

Some interrelationships between constructivist models of learning and current neurobiological theory,with implications for science education

Recent advances in the neurosciences have begun to elucidate how some fundamental mechanisms of nervous system activity can explain human information processing and the acquisition of knowledge. Some of these findings are consistent with a cognitive view of constructivist models of learning and provide additional theoretical support for constructivist applications to science education reform. Current thought at the interface between neurocognitive research and constructivist philosophy is summarized here and discussed in a context of implications for scientific epistemology and conceptual change processes in science education.     

Studies of information processing rates in science learning and related cognitive variables. II: A first approximation to estimating a relationship between science reasoning skills and information acquisition

Performance in science reasoning tasks is a significant objective in modem science instruction and increasing emphasis is being placed on the development of higher cognitive processes in science education. An empirical analysis of the relationship between science reasoning skills and the amount of information acquired during science learning as predicted by a neuromathematical model of information processing is presented. As the neuromathematical model includes a variable representing verbal ability, it is to be expected that a direct relationship exists between the amount of knowledge gained as predicted by the model and reasoning ability. The purpose of this research is to derive a formal quantitative statement for the relationship between knowledge acquisition predicted by the neuromathematical equation and scientific reasoning skills. A linear regression equation is obtained relating performance on a science reasoning task to the amount of information acquired as predicted by the neuromathematical model. This research provides a first approximation to providing a theoretical and empirical link between information processing and higher cognitive thought processes in science education.     

Self-derivation through memory integration: A model for accumulation of semantic knowledge

Semantic knowledge accumulates through explicit means and productive processes (e.g., analogy). These means work in concert when information explicitly acquired in separate episodes is integrated, and the integrated representation is used to self-derive new knowledge. We tested whether (a) self-derivation through memory integration extends beyond general information to science content, (b) self-derived information is retained, and (c) details of explicit learning episodes are retained. Testing was in second-grade classrooms (children 7–9 years). Children self-derived new knowledge; performance did not differ for general knowledge (Experiment 1) and science curriculum facts (Experiment 2). In Experiment 1, children retained self-derived knowledge over one week. In Experiment 2, children remembered details of the learning episodes that gave rise to self-derived knowledge; performance suggests that memory integration is dependent on explicit prompts. The findings support nomination of self-derivation through memory integration as a model for accumulation of semantic knowledge and inform the processes involved.     

The Relation of Story Structure to a Model of Conceptual Change in Science Learning

Although various reasons have been proposed to explain the potential effectiveness of science stories to promote learning, no explicit relationship of stories to learning theory in science has been propounded. In this paper, two structurally analogous models are developed and compared: a structural model of stories and a temporal conceptual change model of learning. On the basis of the similarity of the models, as elaborated, it is proposed that the structure of science stories may promote a re-enactment of the learning process, and, thereby, such stories serve to encourage active learning through the generation of hypotheses and explanations. The practical implications of this theoretical analogy can be applied to the classroom in that the utilization of stories provides the opportunity for a type of re-enactment of the learning process that may encourage both engagement with the material and the development of long-term memory structures.     

The Figure and the Ground of Constructive Brain Functioning: Beyond Explicit Memory Processes

An implicit assumption underlying many educational and psychological theories is that the brain is a memory system. Modern information processing theory, which dominates computer science, linguistics, psychology, economics, and biology, is a theory of the storage, organization, and retrieval of information. But did human intelligence evolve as the nervous system's solution to memory requirements or to some other problem (set) more inherently related to survival than memory? Taking an evolution-inspired (Edelman, 1987) biofunctional (Iran-Nejad, 1980) approach, this article argues that the human nervous system and its processes evolved in the natural environment to solve and generalize survival problems associated with what Gestalt psychologists identified as figure-ground relations in the realm of perception. It is concluded, therefore, that the brain's functional processes and their counterparts in learning can be more appropriately explained as fundamental figure-ground than memory processes.     

Negotiation,embeddedness, and non-threatening learning environments as themes of science and language convergence for English language learners

In this review, we explore the notion of teaching science to English language learners (ELLs) as a balancing act between simultaneously focusing on language and content development, on the one hand, and between structuring instruction and focusing on student learning processes, on the other hand. This exploration is conducted through the lens of a theoretical framework embedded in the Science Writing Heuristic approach, an approach exemplifying immersive orientation to argument-based inquiry. Three learning processes (learning through the language of science, learning about the language of science and living the language of science) and three classroom structures (collective zone of proximal development, symmetric power and trust relationships and teacher as decision-maker) are explored in relation to learning theories and empirical findings from second language acquisition and science, multicultural and teacher education bodies of work. Three themes – negotiation, embeddedness and non-threatening learning environments – to inform ELL science education emerged from the review.     

Organizational Chunking and Postquestions in Facilitating Student Ability to Profit from Visualized Instruction

This experiment was designed to examine the instructional effectiveness and efficiency of organizational chunking and batched postquestions within the framework of an information-processing approach to learning and memory. The coding processes utilized by the content organization employed both encoding and retrieval aids to facilitate the acquisition, retention, and retrieval of the information to be learned. Major findings indicate that the chunked treatment resulted in a more efficient learning strategy than the conventional treatment; however, the chunked and conventional treatment, as different encoding strategies, did not produce significant differences in achievement on the performance task. Additionally, students receiving the intervening postquestion strategy took significantly less time in completing the performance measure than did those students who received the non-intervening postquestion treatment.     

基于GOMS模型的科学发现学习认知任务分析

文章首先将科学发现学习的认知要素划分为实际系统和科学理论模型,以及实验空间和假设空间。然后,运用GOMS模型对科学发现学习进行认知任务分析,将其分解为理解问题、探究局部模型、合成全局模型和反思评价四个子目标,详细分析了其中的基本操作与方法,以及在此过程中学生的工作记忆和长时记忆是如何发展变化的。由此建立的认知模型为基于计算机的科学发现学习环境的设计奠定了必要的理论基础。     

Information processing: a review of implications of Johnstone’s model for science education

The current review is concerned with an information processing model used in science education. The purpose is to summarise the current theoretical understanding, in published research, of a number of factors that are known to influence learning and achievement. These include field independence, working memory, long‐term memory, and the use of long‐term memory strategies. The implications of research for educational practice are discussed. It is recommended that educators consider models of information processing and adjust teaching practices accordingly.     

The Role of Working Memory in Multimedia Instruction: Is Working Memory Working During Learning from Text and Pictures?

A lot of research has focused on the beneficial effects of using multimedia, that is, text and pictures, for learning. Theories of multimedia learning are based on Baddeley’s working memory model (Baddeley 1999). Despite this theoretical foundation, there is only little research that aims at empirically testing whether and more importantly how working memory contributes to learning from text and pictures; however, a more thorough understanding of how working memory limitations affect learning may help instructional designers to optimize multimedia instruction. Therefore, the goal of this review is to stimulate such empirical research by (1) providing an overview of the methodologies that can be applied to gain insights in working memory involvement during multimedia learning, (2) reviewing studies that have used these methodologies in multimedia research already, and (3) discussing methodological and theoretical challenges of such an approach as well as the usefulness of working memory to explain learning with multimedia.     

Investigating the thinking processes of eighth grade writers during the composition of a scientific laboratory report

This study examined the thinking processes used by 16 eighth grade science writers during laboratory report writing and explored the possibility that writing can contribute directly to science learning. Using Bereiter and Scardamalia's ( 1987 ) knowledge‐transformation model of writing as a theoretical lens, the study characterized specific content and rhetorical thinking engaged in by the students using think‐aloud protocols and qualitative data analysis methodologies. Thinking aloud was also related to the quality of the students' written products. Five of the 16 students exhibited no mental reflection during writing, recording information straight from memory into the composition. Two students engaged primarily in rhetorical planning, specifying the sequencing and organization of their writing in advance. Nine students demonstrated scientific problem solving including hypothesis and evidence generation, examining patterns in the data, and making general knowledge claims in response to the need to generate content for writing, indicating that the act of report writing can stimulate science learning directly. However, thinking during writing was not necessary to compose a report that contained hypotheses and supporting evidence. © 2000 John Wiley & Sons, Inc. J Res Sci Teach 37: 676–690, 2000     

The development of forgetting and reminiscence

Many theoretical positions on memory development anticipate that forgetting rates should vary substantially with age. The nature of these age variations is also relevant to many applied questions about child development that have major social policy implications, such as the veracity of children's eyewitness testimony and the long-term effectiveness of classroom instruction. Surprisingly, developmental studies of long-term retention have repeatedly produced the puzzling finding that forgetting rates are age invariant. It now seems, however, that these null age trends may have been artifacts of variables such as measurement insensitivity, floor effects, and stages-of-learning confounds. Assuming, as some later studies suggest, that forgetting rates vary with age when these factors are controlled, there are three overriding questions that must be dealt with in the developmental analysis of forgetting: the relative importance of storage failure versus retrieval failure, the relative importance of true forgetting processes versus test-induced processes, and the relative importance of storage-based reminiscence versus retrieval-based reminiscence. We describe a framework (disintegration/redintegation theory) that provides a conceptual environment within which research on these questions can progress. This framework, which evolved from fuzzy-trace theory, reinterprets processes such as storage failure, retrieval failure, restorage, and retrieval relearning in terms of levels of featural integration in traces (i.e., the extent to which contextual information is integrated with core semantic gist to produce a coherent representation). The theory is implemented in a mathematical model (the trace-integrity model) whose parameters deliver measurements of relevant memory processes on a common ratio scale. In a series of experiments, the model was used to study the theory's predictions about the contributions of these memory processes to long-term retention in subjects between the ages of 7 and 70. All the experiments were standard long-term retention designs (an initial acquisition session, followed by a 1-2-week forgetting interval, followed by a series of retention tests).(ABSTRACT TRUNCATED AT 400 WORDS)     

Physiological studies of the brain: Implications for science teaching

Physiological changes resulting from repeated, long-term stimulation have been observed in the brains of both humans and laboratory animals. It may be speculated that these changes are related to short-term and long-term memory processes. A physiologically based model for memory processing (PBMMP) can serve to explain the interrelations of various areas of the brain as they process new stimuli and recall past events. The model can also serve to explain many current principles of learning theory and serve as a foundation for developing new theories of learning based upon the physiology of the brain.     

Twenty questions about student errors

Errors in science learning (errors in expression of organized, purposeful thought within the domain of science) provide a window through which glimpses of mental functioning can be obtained. Errors are valuable and normal occurrences in the process of learning science. A student can use his/her errors to develop a deeper understanding of a concept as long as the error can be recognized and appropriate, informative feedback can be obtained. A safe, non-threatening, and nonpunitive environment which encourages dialogue helps students to express their conceptions and to risk making errors. Pedagogical methods that systematically address common student errors produce significant gains in student learning. Just as the nature-nurture interaction is integral to the development of living things, so the individual-environment interaction is basic to thought processes. At a minimum, four systems interact: (1) the individual problem solver (who has a worldview, relatively stable cognitive characteristics, relatively malleable mental states and conditions, and aims or intentions), (2) task to be performed (including relative importance and nature of the task), (3) knowledge domain in which task is contained, and (4) the environment (including orienting conditions and the social and physical context). Several basic assumptions underlie research on errors and alternative conceptions. Among these are: Knowledge and thought involve active, constructive processes; there are many ways to acquire, organize, store, retrieve, and think about a given concept or event; and understanding is achieved by successive approximations. Application of these ideas will require a fundamental change in how science is taught.     

神经语言学视角下的第二语言习得解析

思维是大脑神经系统活动的产物。神经语言学为语言研究者提供了一个非常难得的理论与实践的平台,语言学的多种心理分析和命题假设都可以通过对大脑的神经活动的观察和测试得出明确的结论。面对以语言学、神经生理学、神经病理学、脑科学、生物学多种学科为基础发展起来的一门学科,把握第二语言习得研究中所涉及的要素和重点,将会对从事外语教学等相关研究的人员有积极的指导意义。本文以神经语言学和第二语言习得中所共同涉及到的一些关键要素进行阐述和分析,同时探求神经语言学研究对外语教与学过程中的指导性意义。     

Teacher education students using TPACK in science: a case study

Teacher education is in the grip of change. Due to the new Australian Curriculum, no longer is it possible to plan and implement lessons without considering the inclusion of Information and Communication Technologies. Simply knowing about the latest technology gadgets is not enough. Information literacy is essential in today’s information-rich learning and working environment. Students and teachers must be able to engage with diverse learning technologies efficiently and effectively in the search for the “right information” at the “right time” for the “right purpose”. Key information literacy and inquiry skills have been recognised as vital learning goals by the Australian Curriculum Assessment and Reporting Authority and the International Society for Technology in Education and are thus critical in science teacher education. This paper examines the overlap of technology, pedagogy and science content in the Technological Pedagogical and Content Knowledge (TPACK) framework and its affordances for science educators, at the intersection between technology knowledge, science pedagogy (information literacy and inquiry) and science content knowledge. Following an introduction of the TPACK framework for science education, the paper reports the research findings, which illustrate that 90% of pre-service teachers thought the experimental unit improved their understanding of the inquiry process, 88% reported more confidence in their understanding of science concepts and 94% of students reported an increase in their knowledge and confidence of Web 2.0 tools in supporting scientific inquiry in science. The implications of this study are that the online inquiry improved students’ knowledge and confidence in the skills and processes associated with inquiry and in science concepts.     

Reading and the Neurocognitive Bases of Statistical Learning

ABSTRACT

The processes underlying word reading are shaped by statistical properties of the writing system. According to some theoretical perspectives, reading acquisition should be understood as an exercise in statistical learning (SL). SL involves the extraction of organizing principles from a set of inputs. Several lines of research provide convergent evidence supporting the connection between SL and reading acquisition. An obstacle to fully appreciating the theoretical and educational implications of these findings is that SL is itself not well understood. In this article, we review the current literature on SL with a particular focus on organizing this literature by grounding it in theories of learning and memory more generally. This approach can clarify the nature of SL and provide a framework for understanding its role in reading, reading acquisition, and reading disorders.     

Analogical instruction within the information processing paradigm: effective means to facilitate learning

Research on the structure of memory has led to evidence that relating unfamiliar information to that which is familiar facilitates the new material's acquisition and retention; moreover, such associations can be efficiently achieved through the use of analogies. The present paper discusses the current information processing conceptualization of memory, the processes of learning by analogy, and the overall desired outcomes of their use to acquire and retain new information. Additionally, instructional implications of how, when, and why to use analogies are discussed.     

A new look at learning-disabled and normal-achieving children's word-pair memorization ability

An 11-parameter Markov model of stages of learning, which was developed by Brainerd et al., will be presented. The focus will be on parameter interpretation in terms of long-term memory (LTM) processes. Next the model will be used to examine the contribution of these various LTM processes to Schooltype and Age differences in a word-pair memorization experiment. Subjects were 8 and 11-year-old normal-achieving (NA) children from regular elementary schools and 8 and 11-year-old children from special schools for learning disabled (LD) children. One of the main conclusions is that the Schooltype × Age interaction which was demonstrated for traditional performance measures, can be explained by LD children's little developmental progress in storage processes and deviations from normal development in aspects of the acquisition of retrieval algorithms. No deficiences were, however, detected in the LD children's rerention ability early in the task, and in the so-called heuristic retrieval operations.