Hoe Beïnvloedt Kennis Over Taal de Verwerving Van Een Vreemde Taal? Evidentie Vanuit Een Computeronder-Steunde Cursus Spaans

1998 ◽  
Vol 58 ◽  
pp. 119-126
Author(s):  
Rick de Graaff
Keyword(s):  
Explicit Knowledge ◽  
Explicit Instruction ◽  
Syntactic Structure ◽  
Morphological Structure ◽  
Implicit Knowledge ◽  
Target Language ◽  
Computer Assisted ◽  
Grammatical Structure ◽  
Self Study ◽  
Knowledge Of Language

The article reports on an empirical study of the faciltative effect of explicit instruction about language structure on the acquisition of second language (L2) morphosyntax, by means of an experiment in which students learning Spanish were given varying amounts of explanation about the grammatical structure. Students took a computer-assisted self-study course under explanation or non-explanation conditions, and were tested on the acquisition of a simple and a complex morphological structure and a simple and a complex syntactic structure. It is argued that explicit knowledge about language does not convert into implicit knowledge of language. The study is based on an attention focusing position, according to which implicit knowledge is acquired as a result of noticing specific forms and their meanings in the target language; noticing can be facilitated by explicit knowledge built up as a result of explicit instruction.

THE EXPERANTO EXPERIMENT

1997 ◽  
Vol 19 (2) ◽  
pp. 249-276 ◽  
Author(s):  
Rick de Graaff
Keyword(s):  
University Students ◽  
Differential Effect ◽  
Explicit Knowledge ◽  
Explicit Instruction ◽  
Artificial Language ◽  
Facilitative Effect ◽  
General Hypothesis ◽  
Self Study ◽  
Computer Controlled

Theories on the role of consciousness and the enhancement of noticing (Schmidt, 1990, 1994; Sharwood Smith, 1993) predict a facilitative effect of explicit knowledge, as built up by explicit instruction, on the acquisition of implicit second language (L2) knowledge. This study investigates the interaction between the presence or absence of explicit instruction and the variables complexity and morphology/syntax in the acquisition of four L2 structures. Two groups of 27 university students, differing in the exposure to explicit instruction, followed a computer-controlled self-study course in an artificial language. Results from computer-controlled posttests confirm the general hypothesis that explicit instruction facilitates the acquisition of L2 grammar. However, no evidence could be reported for the hypotheses predicting a differential effect of explicit instruction depending on the variables complexity and morphology/syntax.

Verbal working memory as a predictor of explicit and implicit knowledge of English passive voice

2019 ◽  
Vol 2 (2) ◽  
pp. 258-280
Author(s):  
Mirosław Pawlak ◽  
Adriana Biedroń
Keyword(s):  
Working Memory ◽  
Second Language Acquisition ◽  
Explicit Knowledge ◽  
Verbal Working Memory ◽  
Implicit Knowledge ◽  
Target Language ◽  
Passive Voice ◽  
Empirical Inquiry ◽  
Communication Task ◽  
Explicit And Implicit Knowledge

Abstract While there is copious evidence concerning the effectiveness of different instructional options in teaching grammar (e.g., Nassaji, 2017; Pawlak, 2017), less is known about the extent to which the contribution of pedagogical intervention is mediated by individual factors. The same can be said about the product of instructed but also uninstructed second language acquisition, that is the knowledge of target language grammar. The paper attempts to shed light on one such variable, that is working memory, which has recently been an object of intensive empirical inquiry (e.g., Li, 2017; Wen, Biedroń, & Skehan, 2016). It reports the results of a study that investigated the role of verbal working memory in the development of explicit and implicit knowledge of the English passive voice. Participants were 156 Polish university students enrolled in a three-year BA program in English. The data on verbal working memory were collected by means of the Polish Listening Span Test (PLSPAN), developed by Zychowicz, Biedroń and Pawlak (2017). Explicit knowledge was tapped by means of an untimed grammatically judgment test, which focused on reception, and a traditional grammar test, which targeted production. Implicit knowledge was tapped through a timed grammaticality judgment test for reception and a focused communication task (Ellis, 2003) for production. Correlational analysis demonstrated that verbal working memory was a weak predictor of explicit productive and receptive knowledge but not implicit knowledge.

THE EFFECTS OF IMPLICIT INSTRUCTION ON IMPLICIT AND EXPLICIT KNOWLEDGE DEVELOPMENT

2015 ◽  
Vol 38 (2) ◽  
pp. 177-215 ◽  
Author(s):  
Aline Godfroid
Keyword(s):  
Explicit Knowledge ◽  
Morphological Structure ◽  
Implicit Knowledge ◽  
Implicit Processing ◽  
Implicit Instruction ◽  
Monitoring Task ◽  
Oral Production ◽  
Language Research ◽  
Verb Forms ◽  
Implicit And Explicit

This study extends the evidence for implicit second language (L2) learning, which comes largely from (semi-)artificial language research, to German. Upper-intermediate L2 German learners were flooded with spoken exemplars of a difficult morphological structure, namely strong, vowel-changing verbs. Toward the end of exposure, the mandatory vowel change was omitted, yielding ungrammatical verb forms (compare Leung & Williams, 2012). Two pre- and posttests—word monitoring and controlled oral production—gauged the development of learners’ implicit and explicit knowledge, respectively.Interviews revealed 33 out of 38 L2 learners remained unaware of the ungrammatical verbs in the input flood; however, they showed significant sensitivity during listening as evidenced by a reaction time slowdown on ungrammatical trials. The unaware learners also improved significantly from pretest to posttest on the word-monitoring task, but not the oral production measure, unless the verbs’ salience in the input flood had resonated with them. Thus, implicit instruction affected implicit knowledge primarily, although prior knowledge and memory could potentially account for interactions between implicit processing, implicit knowledge, and explicit knowledge.

Complexiteit en Instructie

2000 ◽  
Vol 63 ◽  
pp. 105-116
Author(s):  
Nel de Jong
Keyword(s):  
Learning Effect ◽  
Explicit Knowledge ◽  
Complex Structure ◽  
Implicit Knowledge ◽  
Grammatical Structure ◽  
Input Enhancement ◽  
Definition Of ◽  
Syntactic Properties ◽  
Types Of Instruction ◽  
Grammatical Structures

There are many ways to teach grammatical structures. In this research, two types of instruction have been investigated. One was rule instruction: the rules were explained to the learners. The other was input enhancement: the learners were given correct examples in which the relevant elements were made salient by bold print and italics. The structures differed in complexity. There were a simple, a complex and a very complex structure. The complexity was determined using De Graaff s (1997) definition. The aim was to find out whether a grammatical structure can be too complex to be acquired as a result of instruction. Rule instruction turned out to have a learning effect for all structures. It leads to some explicit knowledge, but probably also to implicit knowledge. Input enhancement only had a learning effect for the simple structure. It probably, only leads to implicit knowledge: explicit knowledge could not be observed. De Graaff s definition of complexity turned out to be insufficiently specified. It does not distinguish between formal and functional complexity. Furthermore, within formal complexity, syntactic properties of words and word order features should be distinguished.

Patterns of Implicit Learning Below the Level of Conscious Knowledge

2010 ◽  
Vol 24 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Juliana Yordanova ◽  
Rolf Verleger ◽  
Ullrich Wagner ◽  
Vasil Kolev
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Knowledge Generation ◽  
Sleep Stages ◽  
Implicit Processing ◽  
Implicit Processes ◽  
Late Night ◽  
On Line ◽  
On Line Learning

The objective of the present study was to evaluate patterns of implicit processing in a task where the acquisition of explicit and implicit knowledge occurs simultaneously. The number reduction task (NRT) was used as having two levels of organization, overt and covert, where the covert level of processing is associated with implicit associative and implicit procedural learning. One aim was to compare these two types of implicit processes in the NRT when sleep was or was not introduced between initial formation of task representations and subsequent NRT processing. To assess the effects of different sleep stages, two sleep groups (early- and late-night groups) were used where initial training of the task was separated from subsequent retest by 3 h full of predominantly slow wave sleep (SWS) or rapid eye movement (REM) sleep. In two no-sleep groups, no interval was introduced between initial and subsequent NRT performance. A second aim was to evaluate the interaction between procedural and associative implicit learning in the NRT. Implicit associative learning was measured by the difference between the speed of responses that could or could not be predicted by the covert abstract regularity of the task. Implicit procedural on-line learning was measured by the practice-based increased speed of performance with time on task. Major results indicated that late-night sleep produced a substantial facilitation of implicit associations without modifying individual ability for explicit knowledge generation or for procedural on-line learning. This was evidenced by the higher rate of subjects who gained implicit knowledge of abstract task structure in the late-night group relative to the early-night and no-sleep groups. Independently of sleep, gain of implicit associative knowledge was accompanied by a relative slowing of responses to unpredictable items suggesting reciprocal interactions between associative and motor procedural processes within the implicit system. These observations provide evidence for the separability and interactions of different patterns of processing within implicit memory.

scholarly journals Beyond paradigm: The ‘what’ and the ‘how’ of classroom research

2014 ◽  
Vol 30 (4) ◽  
pp. 551-568 ◽  
Author(s):  
Melinda Whong ◽  
Kook-Hee Gil ◽  
Heather Marsden
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Development ◽  
Explicit Knowledge ◽  
Teaching Practice ◽  
Implicit Knowledge ◽  
Developmental Differences ◽  
Classroom Research ◽  
Language Classroom ◽  
Implicit And Explicit

This article reviews studies in second language classroom research from a cross-theoretic perspective, arguing that the classroom holds the potential for bringing together researchers from opposing theoretical orientations. It shows how generative and general cognitive approaches share a view of language that implicates both implicit and explicit knowledge, and that holds a bias towards implicit knowledge. Arguing that it is implicit knowledge that should be the object of research, it proposes that classroom research would benefit from incorporating insights from a generative understanding of language. Specifically, there is a need for a more nuanced view of the complexity of language in terms of linguistic domain, and the interaction between those domains. Generative second language acquisition research that shows developmental differences in terms of both linguistic domain and interface is reviewed. The core argument is a call for more attention to the ‘what’ of language development in classroom research and, by implication, teaching practice. As such, the language classroom is seen to offer potential for research that goes beyond paradigm to address both the ‘what’ and the ‘how’ of language development.

scholarly journals Convergent and Distinct Effects of Multisensory Combination on Statistical Learning Using a Computer Glove

2021 ◽  
Vol 11 ◽  
Author(s):  
Christopher R. Madan ◽  
Anthony Singhal
Keyword(s):  
Statistical Learning ◽  
Visual Cues ◽  
Explicit Knowledge ◽  
Reaction Time Task ◽  
Musical Instrument ◽  
Implicit Knowledge ◽  
Auditory Cues ◽  
Motor Movements ◽  
Explicit And Implicit Knowledge ◽  
Single Modality

Learning to play a musical instrument involves mapping visual + auditory cues to motor movements and anticipating transitions. Inspired by the serial reaction time task and artificial grammar learning, we investigated explicit and implicit knowledge of statistical learning in a sensorimotor task. Using a between-subjects design with four groups, one group of participants were provided with visual cues and followed along by tapping the corresponding fingertip to their thumb, while using a computer glove. Another group additionally received accompanying auditory tones; the final two groups received sensory (visual or visual + auditory) cues but did not provide a motor response—all together following a 2 × 2 design. Implicit knowledge was measured by response time, whereas explicit knowledge was assessed using probe tests. Findings indicate that explicit knowledge was best with only the single modality, but implicit knowledge was best when all three modalities were involved.

scholarly journals Assumptions of the Process-Dissociation Procedure are Violated in Implicit Sequence Learning

2016 ◽  
Author(s):  
Marius Barth ◽  
Christoph Stahl ◽  
Hilde Haider
Keyword(s):  
Sequence Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Process Dissociation ◽  
Implicit Sequence Learning ◽  
Generation Task ◽  
Accurate Performance ◽  
Exclusion Condition ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

In implicit sequence learning, a process-dissociation (PD) approach has been proposed to dissociate implicit and explicit learning processes. Applied to the popular generation task, participants perform two different task versions: inclusion instructions require generating the transitions that form the learned sequence; exclusion instructions require generating transitions other than those of the learned sequence. Whereas accurate performance under inclusion may be based on either implicit or explicit knowledge, avoiding to generate learned transitions requires controllable explicit sequence knowledge. The PD approach yields separate estimates of explicit and implicit knowledge that are derived from the same task; it therefore avoids many problems of previous measurement approaches. However, the PD approach rests on the critical assumption that the implicit and explicit processes are invariant across inclusion and exclusion conditions. We tested whether the invariance assumptions hold for the PD generation task. Across three studies using first-order as well as second-order regularities, invariance of the controlled process was found to be violated. In particular, despite extensive amounts of practice, explicit knowledge was not exhaustively expressed in the exclusion condition. We discuss the implications of these findings for the use of process-dissociation in assessing implicit knowledge.

Compositional Syntax From Cultural Transmission

2002 ◽  
Vol 8 (1) ◽  
pp. 25-54 ◽  
Author(s):  
Henry Brighton
Keyword(s):  
Cultural Transmission ◽  
Language Evolution ◽  
Syntactic Structure ◽  
Language Learner ◽  
Characteristic Structure ◽  
Language Structure ◽  
Compositional Language ◽  
Acquisition Device ◽  
Knowledge Of Language ◽  
Language Exposure

A growing body of work demonstrates that syntactic structure can evolve in populations of genetically identical agents. Traditional explanations for the emergence of syntactic structure employ an argument based on genetic evolution: Syntactic structure is specified by an innate language acquisition device (LAD). Knowledge of language is complex, yet the data available to the language learner are sparse. This incongruous situation, termed the “poverty of the stimulus,” is accounted for by placing much of the specification of language in the LAD. The assumption is that the characteristic structure of language is somehow coded genetically. The effect of language evolution on the cultural substrate, in the absence of genetic change, is not addressed by this explanation. We show that the poverty of the stimulus introduces a pressure for compositional language structure when we consider language evolution resulting from iterated observational learning. We use a mathematical model to map the space of parameters that result in compositional syntax. Our hypothesis is that compositional syntax cannot be explained by understanding the LAD alone: Compositionality is an emergent property of the dynamics resulting from sparse language exposure.

scholarly journals Applying Measurement of Situational Self-Determination Theory to Use of a Self-Access Centre at a Japanese University

2018 ◽  
Vol 11 (4) ◽  
pp. 1
Author(s):  
Graham G. Robson ◽  
Darrell J. Hardy
Keyword(s):  
Second Language ◽  
Language Learning ◽  
Second Language Learning ◽  
Native Speakers ◽  
Self Determination Theory ◽  
Self Determination ◽  
Target Language ◽  
Learner Motivation ◽  
Japanese University ◽  
Self Study

One way to promote autonomy in the second language can be through the use of Self-access Centres (SACs). These are spaces for students to engage in activities such as self-study or communication with other learners, or native-speakers of the target language. However, merely having these spaces available does not guarantee that students will use the facility effectively, or even attend at all, so a degree of learner motivation linked with visiting the SAC would be necessary. Deci and Ryan’s (1985) Self-Determination Theory (SDT) has been used as the base for numerous studies in second language learning, including those in Japan. Proponents claim SDT is both universal and can be measured on different levels, which are global, situational and state. The authors sought to validate a measure of four subscales of SDT (Intrinsic Motivation, Identified Regulation, Introjected Regulation and External Regulation) written for this study at the situational level among undergraduates using an SAC at a Japanese University (n = 83). The rationale for items at this level comes from the field of psychology (Vallerand & Ratelle, 2002) and a study of second language constructs (Robson, 2016). A factor analysis confirmed four reliable factors, as hypothesized. Further, simplex correlations between the subconstructs somewhat confirms the underlying continuum posited by SDT researchers. These results may lead to a body of work that validates SDT theory in second language learning.

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