Data Mining Practical Machine Learning Tools and Techniques

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Qualitative research for education: An introduction to theories and methods

The complete title of this book runs ‘Analyzing Linguistic Data: A Practical Introduction to Statistics using R’ and as such it very well reflects the purpose and spirit of the book. The author guides the reader in about 350 pages from descriptive and basic statistical methods over classification and clustering to (generalised) linear and mixed models. Each of the methods is introduced in the context of concrete linguistic problems and demonstrated on exciting datasets from current research in the language sciences. In line with its practical orientation, the book focuses primarily on using the methods and interpreting the results. This implies that the mathematical treatment of the techniques is held at a minimum if not absent from the book. In return, the reader is provided with very detailed explanations on how to conduct the analyses using R [1]. The first chapter sets the tone being a 20-page introduction to R. For this and all subsequent chapters, the R code is intertwined with the chapter text and the datasets and functions used are conveniently packaged in the languageR package that is available on the Comprehensive R Archive Network (CRAN). With this approach, the author has done an excellent job in enabling researchers and students alike to reproduce the analyses and learn by doing. Another quality as a textbook is the fact that every chapter ends with Workbook sections where the user is invited to exercise his or her analysis skills on supplemental datasets. Full solutions including code, results and comments are given in Appendix A (30 pages). Instructors are therefore very well served by this text, although they might want to balance the book with some more mathematical treatment depending on the target audience. After the introductory chapter on R, the book opens on graphical data exploration. Chapter 3 treats probability distributions and common sampling distributions. Under basic statistical methods (Chapter 4), distribution tests and tests on means and variances are covered. Chapter 5 deals with clustering and classification. Strangely enough, the clustering section has material on PCA, factor analysis, correspondence analysis and includes only one subsection on clustering, devoted notably to hierarchical partitioning methods. The classification part deals with decision trees, discriminant analysis and support vector machines. The regression chapter (Chapter 6) treats linear models, generalised linear models, piecewise linear models and a substantial section on models for lexical richness. The final chapter on mixed models is particularly interesting as it is one of the few text book accounts that introduce the reader to using the (innovative) lme4 package of Douglas Bates which implements linear mixed-effects models. Moreover, the case studies included in this

Analyzing linguistic data: a practical introduction to statistics using R

自然界和人类社会中存在着大量的中间状态，人类的语言也是如此。大多数人在出生后首先习得和掌握的是他的母语（mother tongue），在以后的人生中，会有机会学习第二语言（secongd language）或目的语（target language）。所谓中介语是指第二语言学习者建构起来的介于母语和目的语之间的过渡性语言，它处于不断的发展变化过程中，并逐渐向目的语靠近。

中介语（interlanguage）初探

Understanding second language acquisition

Hulstijn and Laufer (2001) proposed a motivational-cognitive construct of task-induced involvement to account for variation in effectiveness among different vocabulary learning tasks. Building upon their original research, this study consisted of two experiments investigating the involvement load hypothesis in vocabulary learning. Experiment 1 compared the performance of 64 adult English as a second language (ESL) learners from a range of countries at two different proficiency levels (i.e., matriculated undergraduate students vs. students in an Intensive English Program) to ascertain the effectiveness of three vocabulary tasks with different levels of task-induced involvement. Experiment 2 investigated whether two tasks hypothesized to represent the same level of task-induced involvement would result in equivalent initial learning and retention of target words by 20 adult ESL learners at two different levels of proficiency. The results of Experiment 1 showed that a higher level of learner involvement during the task promoted more effective initial vocabulary learning and better retention of the new words. The findings of Experiment 2 indicated that when different tasks had the same involvement load, they resulted in similar amounts of initial vocabulary learning and retention of new words. The results of the two experiments are discussed in light of the involvement load hypothesis.

The Role of Task-Induced Involvement and Learner Proficiency in L2 Vocabulary Acquisition

Previous research has shown that second language (L2) learners reflect on language form when carrying out collaborative activities in L2 classrooms. This study explored which language forms Korean ...

The effect of interlocutor proficiency on the collaborative dialogue between Korean as a second language learners

Over the past 2 decades, research has demonstrated that learner collaboration facilitates second language (L2) acquisition (Lapkin, Swain, & Smith, 2002; McDonough, 2004; Storch, 1998, 2004; Swain & Lapkin, 1998). Adopting a sociocultural perspective (e.g., Swain & Lapkin, 1998), the current study compared the effectiveness of collaborative and individual tasks on the acquisition of L2 vocabulary by Korean as a second language (KSL) learners (N= 32). The learners completed a pretest, a dictogloss task, and two posttests over a 3-week period. Half the learners carried out the dictogloss in pairs, but the other half worked individually while thinking aloud. The collaborative dialogue and think-aloud protocols were transcribed, and language-related episodes (LREs) were identified. The results indicated that although the learners who participated in the collaborative task had a similar number of LREs as the learners who worked individually, they performed significantly better on the vocabulary tests. The pedagogical implications for the use of collaborative tasks to promote the acquisition of L2 vocabulary are discussed.

https://www.jstor.org/stable/pdfplus/25172996.pdf

The Contribution of Collaborative and Individual Tasks to the Acquisition of L2 Vocabulary

The effects of task complexity on learner–learner interaction

Tasks are frequently used to elicit learner language in second language (L2) research. The purposes for doing so, however, vary widely, covering a range of theoretical models, designs, and analyses. For example, task-based researchers have examined a range of linguistic and interactional features (e.g., accuracy, language-related episodes) that are found in learner production and that vary as a function of task conditions (e.g., +/− complex), modes (oral, written, computer-mediated), and settings (second vs. foreign language). This article presents a synthesis of substantive interests and methodological practices in this area. We first collected a sample of 85 primary studies of task-based language production published from 2006 to 2015. Each study was then coded for the target features it analyzed as well as other contextual and demographic variables. We also coded for methodological features related to study designs, sampling, analyses, and reporting practices. The results indicate a strong preference toward analyses of grammar, vocabulary, accuracy, and different features of L2 interaction, and very little interest in task-induced pronunciation, pragmatics, and the quality of task performance. More fundamentally, this domain may be hindered by a lack of theoretical and operational consistency. The data also point to a number of concerns related to research and reporting practices (e.g., low statistical power; missing data). Based on our findings, we outline a number of pointed recommendations for future research in this domain.

YouJin Kim

Papers

The Role of Task-Induced Involvement and Learner Proficiency in L2 Vocabulary Acquisition

The effect of interlocutor proficiency on the collaborative dialogue between Korean as a second language learners

The Contribution of Collaborative and Individual Tasks to the Acquisition of L2 Vocabulary

The effects of task complexity on learner–learner interaction

Task-Based Learner Production: A Substantive and Methodological Review