This guide draws on English-related errors from around 6000 papers written by non-native authors, 500 abstracts written by PhD students, and over 2000 hours of teaching researchers how to write and present research papers. This new edition has chapters on exploiting AI tools such as ChatGPT, Google Translate, and Reverso, for generating,…

The purpose of this paper is to clarify the theoretical concept of a syllabus by specifying important variables and priorities in its preparation and application. The scope and nature of the syllabus are discussed, followed by an examination of learning processes and strategies. The focus of the syllabus is seen as being fluency and flexibility,…

Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)