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Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
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Mayo Beltrán, Alba Mª; Fernández Sánchez, María Jesús; Montanero Fernández, Manuel; Martín Parejo, David – Practical Assessment, Research & Evaluation, 2022
This study compares the effects of two resources, a paper rubric (CR) or the comment bubbles from a word processor (CCB), to support peer co-evaluation of expository texts in primary education. A total of 57 students wrote a text which, after a peer co-evaluation process, was rewritten. To analyze the improvements in the texts, we used a rubric…
Descriptors: Scoring Rubrics, Evaluation Methods, Word Processing, Computer Software
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Connell, Louise; Lynott, Dermot – Cognition, 2012
Abstract concepts are traditionally thought to differ from concrete concepts by their lack of perceptual information, which causes them to be processed more slowly and less accurately than perceptually-based concrete concepts. In two studies, we examined this assumption by comparing concreteness and imageability ratings to a set of perceptual…
Descriptors: Language Processing, Olfactory Perception, Word Processing, Reaction Time
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Varank, Ilhan; Erkoç, M. Fatih; Büyükimdat, Meryem Köskeroglu; Aktas, Mehmet; Yeni, Sabiha; Adigüzel, Tufan; Cömert, Zafer; Esgin, Esad – EURASIA Journal of Mathematics, Science & Technology Education, 2014
The purpose of this study was to investigate the effectiveness of an online automated evaluation and feedback system that assessed students' word processing assignments prepared with Microsoft Office Word. The participants of the study were 119 undergraduate teacher education students, 86 of whom were female and 32 were male, enrolled in different…
Descriptors: Computer Literacy, Introductory Courses, Student Evaluation, Feedback (Response)
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Jayal, Ambikesh; Shepperd, Martin – Journal on Educational Resources in Computing, 2009
In this article we explore a problematic aspect of automated assessment of diagrams. Diagrams have partial and sometimes inconsistent semantics. Typically much of the meaning of a diagram resides in the labels; however, the choice of labeling is largely unrestricted. This means a correct solution may utilize differing yet semantically equivalent…
Descriptors: Spelling, Semantics, Problem Solving, Word Processing
Graham, Steve; Harris, Karen; Hebert, Michael – Carnegie Corporation of New York, 2011
During this decade there have been numerous efforts to identify instructional practices that improve students' writing. These include "Reading Next" (Biancarosa and Snow, 2004), which provided a set of instructional recommendations for improving writing, and "Writing Next" (Graham and Perin, 2007) and "Writing to Read" (Graham and Hebert, 2010),…
Descriptors: Writing Evaluation, Formative Evaluation, Writing Improvement, Writing Instruction
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Arntzen, Erik; Halstadtro, Lill-Beathe; Halstadtro, Monica – Analysis of Verbal Behavior, 2009
The purpose of the study was to extend the literature on verbal self-regulation by using the "silent dog" method to evaluate the role of verbal regulation over nonverbal behavior in 2 individuals with autism. Participants were required to talk-aloud while performing functional computer tasks.Then the effects of distracters with increasing demands…
Descriptors: Autism, Males, Self Control, Evaluation Methods
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Mogey, Nora; Paterson, Jessie; Burk, John; Purcell, Michael – ALT-J: Research in Learning Technology, 2010
Students at the University of Edinburgh do almost all their work on computers, but at the end of the semester they are examined by handwritten essays. Intuitively it would be appealing to allow students the choice of handwriting or typing, but this raises a concern that perhaps this might not be "fair"--that the choice a student makes,…
Descriptors: Handwriting, Essay Tests, Interrater Reliability, Grading
Alberta Dept. of Education, Edmonton. – 1984
This guide provides a detailed evaluation form, together with complete instructions for using it, which is designed to elicit answers to the following questions: (1) What features and abilities does a specific word processing program have? (2) On which computer(s) will the program work? (3) Is additional hardware/software necessary before the…
Descriptors: Computer Software, Evaluation Criteria, Evaluation Methods, Questionnaires
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Ostwald, Tina; Stulz, Karin – Journal of Education for Business, 1996
A criterion-based strategy to evaluate student performance in computer application courses requires modification of evaluation tools with each technological change. Students benefit by not competing for grades and there is more consistency in student assessment across courses and semesters. (Author/JOW)
Descriptors: Business Education, Criterion Referenced Tests, Evaluation Methods, Minimum Competencies
Gray, Peter J. – 1984
Designed to provide guidance in selecting the appropriate microcomputer-based word processing program, this document discusses the key characteristics of word processing software, including formatting, editing, merging, and printing. Possible capabilities of word processing features are identified, i.e., indent, tab, center, creation of footnotes,…
Descriptors: Computer Software, Editing, Evaluation Criteria, Evaluation Methods
Jacobs, Ronald L.; Aron, Robert D. – 1987
As educators become more interested in the use of qualitative methods, a major concern is the management of the large amounts of textual data during analysis. The efficiency and possibly the effectiveness of manual systems, i.e., color-coded index cards and wall-mounted systems, are reduced as the amount of textual data increases. An emerging…
Descriptors: Adult Education, Computer Software, Data Analysis, Educational Research
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Smith, David; Keep, Rosslyn – Educational Research, 1986
Children aged 6 to 14 years in 10 schools in southern England were interviewed to determine the criteria that children use to evaluate educational and other software. Data suggest that the children were mature and sophisticated in their judgments. Their evaluative criteria derived from the standards of mass consumer electronics (home computer…
Descriptors: Children, Computer Software, Educational Games, Elementary Education
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Rushinek, Avi; Rushinek, Sara – Office Systems Research Journal, 1984
Describes results of a system rating study in which users responded to WPS (word processing software) questions. Study objectives were data collection and evaluation of variables; statistical quantification of WPS's contribution (along with other variables) to user satisfaction; design of an expert system to evaluate WPS; and database update and…
Descriptors: Artificial Intelligence, Computer Software, Evaluation Methods, Information Retrieval
Starr, Douglas P. – Collegiate Microcomputer, 1991
Describes a method that writing instructors can use for evaluating and commenting on college students' composition papers that uses a stand-alone word processor. Software is discussed, the instructor's role is explained, methods of evaluation and marking papers are suggested, and electronic grading is described. (three references) (LRW)
Descriptors: Computer Software, Evaluation Methods, Grading, Higher Education
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