Interest in an expository text: How does it flow from reading to writing?

This study investigated the flow of interest in a reading-to-write activity. It was hypothesized that (a) different contents in a text would stimulate different types of interest and (b) different writing tasks would impact differently students’ use of interesting text segments. Participants were 247 11th- and 12th-grade students, who were divided into 6 groups according to a 2 (interesting vs. uninteresting topic) × 3 (type of writing task) design. While reading, students rated novelty, curiosity, impressiveness, importance, and willingness to reflect on each text segment. Participants were then assigned to one of three writing tasks, namely argumentation, text designing, and composition. Results showed that concepts were regarded as important, events/activities as impressive, and evaluations as most worthy of reflection. Topic interest was explicitly expressed mainly in the argumentation condition, where increased topic interest scores after reading and writing were also found.     

语篇教学法探微

论述了语篇教学法的实施原则和具体操作步骤，分析了其利弊，得出了这种方法是目前比较理想的阅读教学模式这一结论。     

浅析连贯与EFL写作教学

写作是四项技能（听,说,读,写）之一,但在实践的写作教学中,教师和学生对连贯的重视程度都不够。学生在英语写作中知道什么是连贯,以及意识到在写作以前他们没有注意的错误,这些对EFL写作教学都是有帮助的。     

Towards mapping library and information science

In an earlier study by the authors, full-text analysis and traditional bibliometric methods were combined to map research papers published in the journal Scientometrics. The main objective was to develop appropriate techniques of full-text analysis and to improve the efficiency of the individual methods in the mapping of science. The number of papers was, however, rather limited. In the present study, we extend the quantitative linguistic part of the previous studies to a set of five journals representing the field of Library and Information Science (LIS). Almost 1000 articles and notes published in the period 2002–2004 have been selected for this exercise. The optimum solution for clustering LIS is found for six clusters. The combination of different mapping techniques, applied to the full text of scientific publications, results in a characteristic tripod pattern. Besides two clusters in bibliometrics, one cluster in information retrieval and one containing general issues, webometrics and patent studies are identified as small but emerging clusters within LIS. The study is concluded with the analysis of cluster representations by the selected journals.     

The Video Viewing Task: A source of information for assessing and addressing teacher understanding of text-based discussion

This paper reports on the Video Viewing Task (VVT), an assessment designed to measure teachers' developing understanding of two reading comprehension instruction approaches: Reciprocal Teaching (Palincsar, A. S. & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 1(2), 117–175) and Questioning the Author (Beck, I. L., McKeown, M. G., Hamilton, R. L., & Kucan, L. (1997). Questioning the author: An approach for enhancing student engagement with text. Newark, DE: International Reading Association). The VVT consists of video excerpts that teachers view and comment on during their viewing. The VVT also includes a series of questions to guide teachers' reflections after viewing. Analyses of teachers' comments and reflections in response to the VVT provide evidence that the VVT captures teachers' entering conceptions and is sensitive to changes in teachers' developing understanding following professional development specific to the two instructional approaches.     

Combining full text and bibliometric information in mapping scientific disciplines

In the present study results of an earlier pilot study by Glenisson, Glänzel and Persson are extended on the basis of larger sets of papers. Full text analysis and traditional bibliometric methods are serially combined to improve the efficiency of the two individual methods. The text mining methodology already introduced in the pilot study is applied to the complete publication year 2003 of the journal Scientometrics. Altogether 85 documents that can be considered research articles or notes have been selected for this exercise. The outcomes confirm the main results of the pilot study, namely, that such hybrid methodology can be applied to both research evaluation and information retrieval. Nevertheless, Scientometrics documents published in 2003 cover a much broader and more heterogeneous spectrum of bibliometrics and related research than those analysed in the pilot study. A modified subject classification based on the scheme used in an earlier study by Schoepflin and Glänzel has been applied for validation purposes.     

Full-text federated search of text-based digital libraries in peer-to-peer networks

Peer-to-peer (P2P) networks integrate autonomous computing resources without requiring a central coordinating authority, which makes them a potentially robust and scalable model for providing federated search capability to large-scale networks of text-based digital libraries. However, peer-to-peer networks have so far provided very limited support for full-text federated search with relevance-based document ranking. This paper provides solutions to full-text federated search of text-based digital libraries in hierarchical peer-to-peer networks. Existing approaches to full-text search are adapted and new methods are developed for the problems of resource representation, resource selection, and result merging according to the unique characteristics of hierarchical peer-to-peer networks. Experimental results demonstrate that the proposed approaches offer a better combination of accuracy and efficiency than more common alternatives for federated search of text-based digital libraries in peer-to-peer networks.     

综合运用基于文本与基于内容技术检索Web图像

本文介绍了基于文本和基于内容的图像检索技术，并归纳分析了Web图像的特点，指出综合运用文本和内容信息共同检索Web图像，最后对建立Web图像搜索引擎提出了建议。     

Perceived conversational ability of task-based chatbots – Which conversational elements influence the success of text-based dialogues?

The use of text-based chatbots offering individual support to customers has increased steadily in recent years. However, thus far, research has focused on comparing text-based chatbots with either each other or with humans, whilst the investigation of task-based dialogues has been scarce. This paper aims to identify the characteristics of dialogues – that is, conversational elements – that lead to a successful task-based conversation. For this purpose, the chatbot, KIM, by MAGGI Kochstudio was used. It was designed to help customers find a recipe tailored to their individual needs. In order to investigate which conversational elements contribute to successful communication between the user and the chatbot KIM, a usability study collecting 123 unstructured dialogues and a scenario-based experiment using four dialogues with 627 respondents was conducted. The quantitative analysis demonstrates that task completion is characterized by a higher perception of the chatbot’s conversational ability and user satisfaction. The chatbot should propose correct recipe suggestions following a short dialogue, without the user needing to provide too much input. Based on these findings, we recommended equipping the skillset of task-based chatbots with elements that will complement their assistive qualities – for example, improved use of standard phrases, and reactions to similar domains and non-requests. Gender-specific differences in task completion should be considered.