Presents information on short courses recommended by the APS society.

This mixed-methods design study investigated Iranian TOEFL iBT and IELTS teachers’ views on thestructure of the TOEFL iBT and IELTS receptive and productive sections from the yardsticks of dynamic and static assessment. It also examined the conformity level of the receptive and productive sections of TOEFL iBT and IELTS to dynamic assessment and static assessment standards. To achieve the objec...

background and purpose: multiple choice tests are the most common type of tests used in evaluating the general english knowledge of the students in most medical universities, however the efficacy of these tests are not examined precisely. we compare and examine the integrative tests and discrete point tests as   measures of the english language knowledge of medical students. methods: three test...

Pengabdian kepada Masyarakat ini bertujuan unutk memberikan bekal pengetahuan bagi mahasiswa program studi non-Bahasa Inggris dan mempersiapkan mereka dalam menghadapi TOEFL sebagai bagian persyaratan tugas akhir. Hal dirasa penting karena Bahasa merupakan materi yang dinilai sulit oleh Sebagian besar sehingga tes pemahaman menjadi salah satu hal menyulitkan. Penyampaian pelatihan menggunakan m...

The main purpose of the study was to investigate the distinctness and reliability of analytic (or multitrait) rating dimensions and their relationships to holistic scores and e-rater essay feature variables in the context of the TOEFL computer-based test (CBT) writing assessment. Data analyzed in the study were analytic and holistic essay scores provided by human raters and essay feature variab...

This study investigates relations between second language (L2) lexical input and output in terms of word information properties (i.e., lexical salience; Ellis, 2006a). The data for this study come from a longitudinal corpus of naturalistic spoken data between L2 learners and first language (L1) interlocutors collected over a year’s time. The corpus was analyzed using word information properties...

In this paper, we claim that Vector Cosine – which is generally considered one of the most efficient unsupervised measures for identifying word similarity in Vector Space Models – can be outperformed by a completely unsupervised measure that evaluates the extent of the intersection among the most associated contexts of two target words, weighting such intersection according to the rank of the s...