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Download full textKonuk, Sümeyye – International Journal of Education and Literacy Studies, 2021
The research purpose was to identify (1) the problems encountered by academic and administrative staff in emails received from students, (2) positive and negative qualities of the authentic emails of higher education students, (3) functional explanations of the academic email, (4) the problems encountered by students in emails received from…
Descriptors: Electronic Mail, Higher Education, Academic Language, Language Usage
Direct linkAlim, Sophia – SAGE Open, 2021
Although the web accessibility of universities around the world is well documented, much remains unknown about this aspect of higher education institutions in the UK. Using three automated web accessibility tools (TAW, WAVE and EIII Page Checker), this study explores the accessibility of the homepages of 66 research-intensive universities with…
Descriptors: Web Sites, Access to Information, Accessibility (for Disabled), Usability
Daniels, Lia M.; Kennedy, Kathleen E. – Canadian Journal for the Scholarship of Teaching and Learning, 2019
The Publication Manual of the American Psychological Association (APA) is an invaluable resource for students and faculty members in the social sciences. However, many students and researchers fail to recognize the value of APA style in supporting writing excellence. In this research note we describe an innovative pedagogical approach to APA style…
Descriptors: Graduate Students, Writing Skills, Writing (Composition), Writing for Publication
Mandernach, B. Jean; Zafonte, Maria; Taylor, Caroline – International Journal of Teaching and Learning in Higher Education, 2016
The purpose of this study was to identify areas of APA formatting that college instructors view as most problematic in student writing. Using a Likert-style survey, the greatest areas of reported concern were problems with documentation, specifically, citations, references, and quoting; of lesser concern were various style and formatting errors in…
Descriptors: Educational Strategies, College Students, Higher Education, College Faculty
Müller, Amanda – Higher Education Research and Development, 2015
This paper attempts to demonstrate the differences in writing between International English Language Testing System (IELTS) bands 6.0, 6.5 and 7.0. An analysis of exemplars provided from the IELTS test makers reveals that IELTS 6.0, 6.5 and 7.0 writers can make a minimum of 206 errors, 96 errors and 35 errors per 1000 words. The following section…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Scores
Jorgensen, Terrence D.; Marek, Pam – Teaching of Psychology, 2013
To determine the effectiveness of 20- to 30-min workshops on recognition of errors in American Psychological Association-style writing, 58 introductory psychology students attended one of the three workshops (on grammar, mechanics, or references) and completed error recognition tests (pretest, initial posttest, and three follow-up tests). As a…
Descriptors: Workshops, Program Effectiveness, Error Patterns, Writing (Composition)
Forgione-Barkas, Elizabeth – ProQuest LLC, 2012
This collective case study reviewed the current state of Web accessibility at 102 postsecondary colleges and universities in North Carolina. The study examined themes within Web-accessibility compliance and identified which disability subgroups were most and least affected, why the common errors were occurring, and how the errors could be fixed.…
Descriptors: Case Studies, College Students, Disabilities, Access to Computers
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
