Chunking Theory Research Articles

Study on the Three-dimensional “Chunking" Listening Teaching Strategy for Naval Vocational English

Based on the chunk theory, this paper proposes a three-dimensional "chunking" listening teaching strategy for naval vocational English through extracting and analyzing the lexical chunks of naval vocational English from the self-built authentic listening corpus, which will effectively support the students to understand and master the needs and requirements of their future jobs and professions within a limited time and improve their listening ability for naval vocational English.

Examining Two Chinese Renditions of Alice Walker’s Everyday Use: A Translator’s Approach to Modeling Critique

Although recent developments in the field of translation studies have brought theory building to a new level unrestrained to comparative textual analysis by incorporating system cultural theories, the lack of a consistent model for descriptive translation studies is still a problem not to be overlooked. In light of the theories of quality assessment proposed by scholars such as Toury and House, this paper seeks to lay the groundwork for the construction of a systematic model for literary translation review, in specific hope to provide a solution to the chronic issue of exaggerated foreignization in Mandarin translation of English works. It begins by reviewing and evaluating the theories of ‘equivalence’ as well as ‘targetoriented’ and ‘source-oriented’ translation proposed by major theorists over time, and then on such basis, stating its own methodology which combines descriptive and register analysis. This paper then bases its discussion and paradigm building on Alice Walker’s short story, Everyday Use. It proposes, after a thorough case study, a possible solution to the above-mentioned problem: lexical chunk theory. The paper closes by providing an overview of the theoretical initiations embedded in it and pointing to new directions of further investigation.

Chunking in Visual Working Memory: Are Visual Features of Real-World Objects Stored in Chunks?

Are visual features of real-world objects stored as bound units? Previous research has shown that simple visual features (e.g., colored squares or geometric shapes) can be effectively bound together when forming predictable pairs in memory tasks. Through a "memory compression" process, observers can take advantage of these features to compress them into a chunk. However, a recent study found that visual features in real-world objects are stored independently. In the present study, we explored this issue by using drawings of fruits as memory stimuli, presenting four pictures of fruit in separate test trials in which we required observers to remember eight total features (i.e., four colors and four shapes). In the congruent trials, the color of the fruit matched its natural appearance (e.g., a red apple), while in incongruent trials, the color of the fruit mismatched its natural appearance (e.g., a red banana). We paired the shape of the fruits randomly with a color (without replacement). According to chunking theory, if visual features of real-world objects are stored in a chunk, the highest memory capacity should be accompanied by the longest response time in congruent trials due to an extra decoding process required from the chunk. We did find that participants had the highest memory capacity in the congruent condition, but their response times in the congruent condition were significantly faster than in the incongruent condition. Thus, observers did not undergo a decoding process in the congruent condition, and we concluded that visual features in real-world objects are not stored in a chunk.

New Application of Lexical Chunk Theory in Senior High School English Writing Teaching

New Application of Lexical Chunk Theory in Senior High School English Writing Teaching

Passphrase and keystroke dynamics authentication: Usable security

It was found that employees spend a total of 2.25 days within 60 days on password-related activities. The time consumed by this is unproductive and has a negative impact on usability. The problem is caused by current text-based user authentication policies in use. This study aims to address this research problem by assessing the effectiveness of a proposed two-tier user authentication solution involving passphrases and keystroke dynamics.A design science research approach was used to guide this study, the theoretical foundation of which included three theories: the Shannon Entropy theory which was used to calculate the strength of passwords, passphrases and keystroke dynamics; Chunking theory assisted in assessing password and passphrase memorisation issues; and the Keystroke Level model was used to assess password and passphrase typing issues.Two primary data collection methods were used to evaluate the findings and to ensure that gaps in the research were filled. Firstly, a login assessment experiment was used to collect data on user authentication and user–system interaction for passwords and passphrases and, secondly, an expert review was conducted to validate findings and assess the research artefact in the form of a model.The model was finalised after it had been updated based on the expert review feedback. The model indicates the components that should be considered to implement the user authentication solution successfully. If all the model components are considered, the proposed two-tier user authentication solution has the potential to improve security and usability in the user authentication process.

Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task.

In tasks that demand rapid performance, actions must be executed as efficiently as possible. Theories of expert motor performance such as the motor chunking framework suggest that efficiency is supported by automatization, where many serial actions are automatized into smaller chunks, or groups of commonly co-occuring actions. We use the fast-paced, professional eSport StarCraft 2 as a test case of the explanatory power of the motor chunking framework and assess the importance of chunks in explaining expert performance. To do so, we test three predictions motivated by a simple motor chunking framework. (1) StarCraft 2 players should exhibit an increasing number of chunks with expertise. (2) The proportion of actions falling within a chunk should increase with skill. (3) Chunks should be faster than non-chunks containing the same atomic behaviours. Although our findings support the existence of chunks, they also highlight two problems for existing accounts of rapid motor execution and expert performance. First, while better players do use more chunks, the proportion of actions within a chunks is stable across expertise and expert sequences are generally more varied (the diversity problem). Secondly, chunks, which are supposed to enjoy the most extreme automatization, appear to save little or no time overall (the time savings problem). Instead, the most parsimonious description of our latency analysis is that players become faster overall regardless of chunking.

The Potential of Sentence Trees in English Grammar Teaching

This study aims to explore the potential use of sentence tree-structure in English grammar teaching in college. After combining Schema Theory and Lexical Chunk Theory, the writer proposed the sentence tree-structure tool and tried to apply it in one of her grammar classes in college. During the teaching process, students were asked to analyze long and complex sentences from IELTS reading texts and to write paragraphs and essays for IELTS writing task two topics, with the purpose of applying the new tool in productive activities. Data collection instruments include a pre-test, a post-test, questionnaires and interviews. Both quantitative and qualitative analysis of the data was employed. The difference in students’ performance in the pre-test and the post-test revealed that the majority of students showed improvement in their ability to analyze long complex sentences and there was an obvious decline in the number of sentence structure-related grammar errors in their writing. Students’ responses in questionnaires and interviews showed a growth in their study motivation and positive perceptions towards the use of this new tool in their grammar learning.

Chess Masters' Hypothesis Testing in Games of Dynamic Equilibrium

The purpose of this paper is to provide a detailed technical protocol analysis of chess masters' evaluative expertise, paying particular attention to the analysis of the structure of their memory process in evaluating foreseen possibilities in games of dynamic equilibrium. The paper has two purposes. First, to publish a results chapter from my DPhil thesis (in revised journal article form) attending to the measurement of foresight in chess masters' evaluation process, testing alternative theories of cognitive expertise in the domain of chess; and second to provide the technical graphical analysis that corresponds to that measurement in order to preserve this protocol analysis for access in the academic domain for future studies of expert memory and foresight (e.g., Ericsson & Simon, 1993). The step-by-step protocol analysis consists of: (i) an introduction to foresight cognition as hypothesis testing, (ii) a theoretical review in the domain of chess masters' expertise according to the theoretical frameworks in that field purporting hypotheses relevant to chess masters' evaluative skill processes, and (iii) summary tables and non-parametric statistical analysis corroborating chunking theory frameworks of expert cognition (e.g., DeGroot, 1965; Newell & Simon, 1972; Gobet, 1998; Gobet et al., 2004) and refuting the alternative search-evaluation models (e.g., Holding & Reynolds, 1982). Moreover, the journal article espouses the preservation of the traditional protocol analysis method core to the field of expert cognition’s conception (DeGroot, 1969; Kotov, 1971). The protocol analysis takes the form of a specialist population study (e.g., detailed case study work; Luria, 1987). Thus the outline consists of a short introduction, a theoretical methodological review discussing protocol analysis methods for specialist population studies in cognition (with particular attention to the preservation protocol analysis methods for chess studies in cognition and expert memory with a fresh angle on the foresight process), and the full set of protocol analyses with corresponding problem behaviour graphs. A subset of the main results has been published elsewhere (e.g., Cowley & Byrne, 2004; Cowley 2006), receiving scientific and scientific journalistic acclaim (e.g., Nature Online News 2004).

Serial Position Effects and Forgetting Curves: Implications in Word Memorization

<p><em>Word memorization is important in English learning and teaching. The theory and implications of serial position effects and forgetting curves are discussed in this paper. It is held that they help students understand the psychological mechanisms underlying word memorization. The serial position effects make them to consider the application the chunking theory in word memorization; the forgetting curve reminds them to repeat the words in long-term memory in proper time. Meanwhile the spacing effect and elaborative rehearsal effect are also discussed as they are related to the forgetting curve.</em></p>

A Brief Analysis of Vocabulary Teaching in Teaching Chinese as a Second Language

The goal of the article was to develop Mandarin vocabulary teaching material for Indonesian people and foreigners. Teaching material was developed by cutting vocabulary, called Chunk theory. Article clarified Chunk theory, basic strategy of teaching Chunk theory, and the basic idea of teaching Chunk theory; gave opinions and some important factors related to Chunk theory. It can be concluded that there is a significant factor in teaching Chunk theory, that is, a meaning transformation process to different context. It can be more (Chunk Up), less (Chunk Down), and similar (Chunk Laterally).

Expertise and the representation of space.

Expertise and the representation of space.

A theory-driven testing methodology for developing scientific software

Computer implementations of theoretical concepts play an ever-increasing role in the development and application of scientific ideas. As the scale of such implementations increases from relatively small models and empirical setups to overarching frameworks from which many kinds of results may be obtained, it is important to consider the methodology by which these implementations are developed. Using cognitive architectures as an example, we discuss the relation between an implementation of an architecture and its underlying theory, a relation between a computer program and its description. We argue for the use of an agile development methodology, based around a three-layer scientific test harness and continuous refactoring, as most suitable for developing scientific software. The ideas are illustrated with extended examples of implementing unified theories of human learning, taken from the chunking and template theories.

Perception in chess and beyond: Commentary on Linhares and Freitas (2010)

Linhares and Freitas (2010; LF) argue that experts use analogical or semantic similarity, similarities that are not available from direct surface representations. LF make their case using a critique of Chase and Simon (1973b) and the presentation of a few chess positions and examples from other domains. Their conclusion is that models such as CHREST ( Gobet et al., 2001) and theories such as the chunking theory ( Chase & Simon, 1973b) and the template theory ( Gobet & Simon, 1996a, 1996b) are inadequate for dealing with these issues. They propose an alternative paradigm, which they call “experience recognition.” Although we find this issue an interesting one, the separation between pattern recognition and problem solving is a lot more complex than LF portray. We instead suggest that a “revolution” in our to date successful modelling is not necessary. Especially in the chess domain, LF’s examples do not make the point they claim. Furthermore, their criticisms of CS are incorrect, and they have failed to mention a large number of experimental results that have supported the hypothesis of location-specific encodings. Although we agree that experts use semantic information and similarities, these ideas already possess analogues in CHREST, which can form the basis of further evolution of the theory.

Task-relevant chunking in sequence learning.

In the present study, we investigated possible influences on the unitization of responses. In Experiments 1, 2, 3, and 6, we found that when the same small fragment (i.e., a few consecutive responses in a sequence) was presented as part of two larger sequences, participants responded to it faster when it was part of the sequence that was presented more often. This indicates that chunking can be driven by task-relevant considerations, as opposed to co-occurrence. The results are discussed in the context of chunking theories and the relevant motor learning literature.

Chunking models of expertise: implications for education

AbstractChunking models offer a parsimonious explanation of how people acquire knowledge and have been validated in domains such as expert behaviour and the acquisition of language. In this paper, we review two computational theories based on chunking mechanisms (the chunking theory and the template theory) and show what insight they offer for instruction and training. The suggested implications include the importance of perception in learning, the cost of acquiring knowledge, the significance of segmenting and ordering instruction material, the role of the variability of the instructional material in acquiring schemata, and the importance of taking individual differences into account. Copyright © 2005 John Wiley & Sons, Ltd.

Chunks in expert memory: Evidence for the magical number four … or is it two?

This study aims to test the divergent predictions of the chunking theory (Chase & Simon, 1973) and template theory (Gobet & Simon, 1996a, 2000) with respect to the number of chunks held in visual short-term memory and the size of chunks used by experts. We presented game and random chessboards in both a copy and a recall task. In a within-subject design, the stimuli were displayed using two presentation media: (a) physical board and pieces, as in Chase and Simon's (1973) study; and (b) a computer display, as in Gobet and Simon's (1998) study. Results show that, in most cases, no more than three chunks were replaced in the recall task, as predicted by template theory. In addition, with game positions in the computer condition, chess Masters replaced very large chunks (up to 15 pieces), again in line with template theory. Overall, the results suggest that the original chunking theory overestimated short-term memory capacity and underestimated the size of chunks used, in particular with Masters. They also suggest that Cowan's (2001) proposal that STM holds four chunks may be an overestimate.

The CHREST model of active perception and its role in problem solving

We discuss the relation of the Theory of Event Coding (TEC) to a computational model of expert perception, CHREST, based on the chunking theory. TEC's status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.

Pattern recognition makes search possible: Comments on Holding (1992)

Chase and Simon's chunking theory of expert memory, which emphasizes the role of pattern recognition in problem solving, has attracted much attention in cognitive psychology. Holding advanced a series of criticisms that, taken together, purported to refute the theory. Two valid criticisms – that chunk size and LTM encoding were underestimated – are dealt with by a simple extension of the theory. The remainder of Holding's criticisms either are not empirically founded or are based on a misunderstanding of the chunking theory and its role in a comprehensive theory of skill. Holding's alternative SEEK theory, which emphasizes the role of search, lacks key mechanisms that could be implemented by the type of pattern recognition proposed by Chase and Simon.

Hemispheric basis for Efron’s scanning theory

Applies the analytic‐synthetic dichotomy of hemispheric functioning suggested by Levy‐Agresti and Sperry to explain the chunking theory of Miller. Constructs a theory of cognition, based on cerebral functions which were discovered through hemispheric differences. Shows that all the arguments of Efron against the hemispheric paradigm are merely “puzzles” that can be solved within this paradigm. New findings of Efron and Yund were, in fact, predicted by a component of this theory.

Expert memory: a comparison of four theories

This paper compares four current theories of expertise with respect to chess players' memory: Chase and Simon's chunking theory, Holding's SEEK theory, Ericsson and Kintsch's long-term working memory theory, and Gobet and Simon's template theory (Chase, W.G., Simon, H.A., 1973a. Perception in chess. Cognitive Psychology 4, 55–81; Holding, D.H., 1985. The Psychology of Chess Skill. Erlbaum, Hillsdale, NJ; Ericsson, K.A., Kintsch, W., 1995. Long-term working memory. Psychological Review 102, 211–245; Gobet, F., Simon, H.A., 1996b. Templates in chess memory: a mechanism for recalling several boards. Cognitive Psychology 31, 1–40). The empirical areas showing the largest discriminative power include recall of random and distorted positions, recall with very short presentation times, and interference studies. Contrary to recurrent criticisms in the literature, it is shown that the chunking theory is consistent with most of the data. However, the best performance in accounting for the empirical evidence is obtained by the template theory. The theory, which unifies low-level aspects of cognition, such as chunks, with high-level aspects, such as schematic knowledge and planning, proposes that chunks are accessed through a discrimination net, where simple perceptual features are tested, and that they can evolve into more complex data structures (templates) specific to classes of positions. Implications for the study of expertise in general include the need for detailed process models of expert behavior and the need to use empirical data spanning the traditional boundaries of perception, memory, and problem solving.