Osaka Jogakuin University

PurposeLesson study (LS) is a professional development approach that has been attracting attention as an educational innovation since the late 1990s. The purpose of this paper is to investigate factors that contribute to the adoption of LS by schools in developing countries without development assistance.Design/methodology/approachThe diffusion of innovation theory was used as an explanatory device. The study examined the characteristics of LS perceived by 28 teachers in an Indonesian primary school, where LS was actively and autonomously adopted without development assistance. Data were collected from multiple sources, including interviews with some teachers and a questionnaire for all 28 teachers.FindingsWhile previous studies have indicated that LS as an educational innovation lacks the ideal sets of perceived characteristics that could promote its adoption, this study found that such negative characteristics were mitigated in the Indonesian school. It also found that some of the factors facilitating LS adoption may be information on the outcomes of LS and less hierarchical relationships among teachers and professors. Furthermore, active school leadership was found to be a significant factor in this adoption.Originality/valueRegarding adoption of LS in developing countries, previous studies focused on how development assistance works, what strategies of development assistance are necessary for introducing LS and how development assistance programs can be sustained. However, scant attention has been paid to how schools in developing countries have fared without development assistance. This study sheds light on this missing point.

Jogakuin University and Junior College.The day began with a morning session on Corpus Linguistics and Vocabulary, featuring our discussant Dr. Laurence Anthony who placed the four invited presentations within a newly created framework which answers the question, "what is corpus linguistics?".After enjoying the poster session and a relaxing lunch, the day continued with the four invited speakers in the afternoon session about Vocabulary Learning, with comments and suggestions for the future from our discussant Dr. David Beglar.After ample time for questions, we were happy to see everyone break off into engaged conversation revolving around the day's topics.

To reveal underlying patterns in real language use, linguists have increasingly come to rely on corpus analyses, involving the evaluation of statistical frequencies in generally sizable bodies of natural linguistic data. However, accessing and analyzing large samples of raw language is neither always practical nor even truly necessary, especially in cases pertaining to structural characteristics. In fact, the requisite data can oftentimes be gleaned from a state-of-the-art (i.e., corpus-based) dictionary. Moreover, given the widespread availability of easily searchable electronic dictionaries nowadays, almost any language teacher or learner can use one to answer a number of these types of queries. This paper illustrates this claim with a step-by-step analysis of corpus-based dictionary data for the purpose of formulating the sound-symbol relations in English words with vowels preceding -gh.

Oral communication skills are essential for engineers today and, as they are included in accreditation criteria of educational programmes, their teaching and evaluation deserve attention. However, concrete aspects as to what should be taught and evaluated in relation to oral communication skills have not been sufficiently established. In this paper, a method to aid the efficient teaching of oral presentation skills is proposed, from the presentation structure level to word and sentence level choices, through the use of JECPRESE, The Japanese–English Corpus of Presentations in Science and Engineering. As of June 2012, the corpus is composed of transcriptions of 74 presentations delivered in Japanese by students graduating from the Master's programme of various engineering departments and 31 presentations delivered in English, 16 by experienced researchers at an international conference on chemistry, and 15 by undergraduate engineering students of a mid-sized American university. The utterances were classified according to the specific moves (sections of the speech that express specific speaker intent) appearing in the presentations and frequently used words/expressions to express these moves were identified.