Using pattern languages to mediate theory–praxis conversations in design for networked learning

Educational design for networked learning is becoming more complex but also more inclusive, with teachers and learners playing more active roles in the design of tasks and of the learning environment. This paper connects emerging research on the use of design patterns and pattern languages with a conception of educational design as a conversation between theory and praxis. We illustrate the argument by drawing on recent empirical research and literature reviews from the field of networked learning

Large-Scale Neural Systems for Vision and Cognition

— Consideration of how people respond to the question What is this? has suggested new problem frontiers for pattern recognition and information fusion, as well as neural systems that embody the cognitive transformation of declarative information into relational knowledge. In contrast to traditional classification methods, which aim to find the single correct label for each exemplar (This is a car), the new approach discovers rules that embody coherent relationships among labels which would otherwise appear contradictory to a learning system (This is a car, that is a vehicle, over there is a sedan). This talk will describe how an individual who experiences exemplars in real time, with each exemplar trained on at most one category label, can autonomously discover a hierarchy of cognitive rules, thereby converting local information into global knowledge. Computational examples are based on the observation that sensors working at different times, locations, and spatial scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels, which are reconciled by implicit underlying relationships that the network’s learning process discovers. The ARTMAP information fusion system can, moreover, integrate multiple separate knowledge hierarchies, by fusing independent domains into a unified structure. In the process, the system discovers cross-domain rules, inferring multilevel relationships among groups of output classes, without any supervised labeling of these relationships. In order to self-organize its expert system, the ARTMAP information fusion network features distributed code representations which exploit the model’s intrinsic capacity for one-to-many learning (This is a car and a vehicle and a sedan) as well as many-to-one learning (Each of those vehicles is a car). Fusion system software, testbed datasets, and articles are available from http://cns.bu.edu/techlab.Defense Advanced Research Projects Research Agency (Hewlett-Packard Company, DARPA HR0011-09-3-0001; HRL Laboratories LLC subcontract 801881-BS under prime contract HR0011-09-C-0011); Science of Learning Centers program of the National Science Foundation (SBE-0354378

Onset of word form recognition in English, Welsh, and English-Welsh bilingual infants

Children raised in the home as English or Welsh monolinguals or English–Welsh bilinguals were tested on untrained word form recognition using both behavioral and neurophysiological procedures. Behavioral measures confirmed the onset of a familiarity effect at 11 months in English but failed to identify it in monolingual Welsh infants between 9 and 12 months. In the neurophysiological procedure the familiarity effect was detected as early as 10 months in English but did not reach significance in monolingual Welsh. Bilingual children showed word form familiarity effects by 11 months in both languages and also revealed an online time course for word recognition that combined effects found for monolingual English and Welsh. To account for the findings, accentual, grammatical, and sociolinguistic differences between English and Welsh are considered

Using pattern languages in participatory design

In this paper, we examine the contribution that pattern languages could make to user participation in the design of interactive systems, and we report on our experiences of using pattern languages in this way. In recent years, there has been a growing interest in the use of patterns and pattern languages in the design of interactive systems. Pattern languages were originally developed by the architect, Christopher Alexander, both as a way of understanding the nature of building designs that promote a ‘humane’ or living built environment; and as a practical tool to aid in participatory design of buildings. Our experience suggests that pattern languages do have considerable potential to support participatory design in HCI, but that many pragmatic issues remain to be resolved.</p

Developmental constraints on learning artificial grammars with fixed, flexible and free word order

Human learning, although highly flexible and efficient, is constrained in ways that facilitate or impede the acquisition of certain systems of information. Some such constraints, active during infancy and childhood, have been proposed to account for the apparent ease with which typically developing children acquire language. In a series of experiments, we investigated the role of developmental constraints on learning artificial grammars with a distinction between shorter and relatively frequent words (‘function words,’ F-words) and longer and less frequent words (‘content words,’ C-words). We constructed 4 finite-state grammars, in which the order of F-words, relative to C-words, was either fixed (F-words always occupied the same positions in a string), flexible (every F-word always followed a C-word), or free. We exposed adults (N = 84) and kindergarten children (N = 100) to strings from each of these artificial grammars, and we assessed their ability to recognize strings with the same structure, but a different vocabulary. Adults were better at recognizing strings when regularities were available (i.e., fixed and flexible order grammars), while children were better at recognizing strings from the grammars consistent with the attested distribution of function and content words in natural languages (i.e., flexible and free order grammars). These results provide evidence for a link between developmental constraints on learning and linguistic typology

The Development of Language Learning Aptitude and Metalinguistic Awareness in Primary-School Children: A Classroom Study

In the typical foreign language classroom, many learners all over the world find themselves in a minimal-input environment. Existing research suggests that in such a setting, adolescents typically outperform younger children. The greater cognitive maturity of older learners manifests itself in greater language learning aptitude, greater metalinguistic awareness, and enhanced capacity for explicit learning. We examined whether the teaching and learning of either Esperanto or French would facilitate the development of language learning aptitude and metalinguistic awareness in 8-9-year-old children (N=28), thus setting the scene for enhanced explicit learning even at a young age. Following instruction in either Esperanto or French over a school year, children made significant gains on measures of aptitude, metalinguistic awareness, and L2 proficiency. Effect sizes in the Esperanto group were larger throughout, however, with greater homogeneity of performance in evidence and a closer association between aptitude, metalinguistic awareness, and L2 proficiency at the end of the treatment. Moreover, Esperanto proved significantly easier to learn than French, with larger gains in L2 proficiency achieved by the Esperanto group compared with the French group. Finally, we found that language-analytic ability emerged as a significant predictor of L2 achievement in the sample as a whole

The effects of trait emotional intelligence and sociobiographical variables on communicative anxiety and foreign language anxiety among adult multilinguals: A review and empirical investigation

This study considered the effects of trait emotional intelligence (trait EI; Petrides & Furnham, 2001) and sociobiographical variables (age, gender, education level, number of languages known, age of onset of acquisition, context of acquisition, frequency of use, socialization, network of interlocutors, self-perceived proficiency) on communicative anxiety (CA) in the first, and foreign language anxiety (FLA) in the second, third, and fourth languages of 464 multilingual individuals, in five different situations (speaking with friends, colleagues, strangers, on the phone, and in public). Data were collected via web-based questionnaires. Participants were divided into three groups based on their trait EI scores (low, average, high). Non-parametric statistical analyses revealed a consistent pattern of results across languages and situations. Higher levels of trait EI corresponded to significantly lower CA/FLA scores. Participants who started learning the L2 and L3 at a younger age also suffered less from FLA. Purely classroom-based language instruction was found to be linked to higher levels of FLA compared to instruction that also involved extracurricular use of the language. The knowledge of more languages, a higher frequency of use, a stronger socialization in a language, a larger network of interlocutors and a higher level of self-perceived proficiency in a language were also linked to lower levels of CA/FLA

Acquiring and processing verb argument structure : distributional learning in a miniature language

Adult knowledge of a language involves correctly balancing lexically-based and more language-general patterns. For example, verb argument structures may sometimes readily generalize to new verbs, yet with particular verbs may resist generalization. From the perspective of acquisition, this creates significant learnability problems, with some researchers claiming a crucial role for verb semantics in the determination of when generalization may and may not occur. Similarly, there has been debate regarding how verb-specific and more generalized constraints interact in sentence processing and on the role of semantics in this process. The current work explores these issues using artificial language learning. In three experiments using languages without semantic cues to verb distribution, we demonstrate that learners can acquire both verb-specific and verb-general patterns, based on distributional information in the linguistic input regarding each of the verbs as well as across the language as a whole. As with natural languages, these factors are shown to affect production, judgments and real-time processing. We demonstrate that learners apply a rational procedure in determining their usage of these different input statistics and conclude by suggesting that a Bayesian perspective on statistical learning may be an appropriate framework for capturing our findings

Distance and virtual distance: Preliminary results of a study of interaction patterns in synchronous audio graphic CMC and face-to-face tutorials in beginners’ language tutorials

This paper presents preliminary results of a larger study of interaction patterns in beginners’ language tutorials held at the Open University. The tutorials are voluntary, supplementing a distance learning course in German as a Foreign Language. Tutorials are offered in two versions: traditional face-to-face tutorials in a classroom or online tutorials held through an internet based audio-graphic conferencing system. Interaction patterns are compared between the two modes of presentation, between different tasks performed by students and between different tutors initiating the same task. Results of the completed study will be published in 2005 / 06