NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 20 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
Moschella, Jennifer A. – ProQuest LLC, 2023
In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…
Descriptors: Formative Evaluation, Writing Skills, Computer Assisted Testing, Basic Writing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Susanto, Edy; Sasongko, Rambat Nur; Kristiawan, Muhammad; Nipriansyah; Purdiyanto – Education Quarterly Reviews, 2021
The purpose of this study was to connect the learning school of computer education students at Dehasen University Bengkulu in using google class. This type of research is descriptive qualitative. Respondents' answers using the google form application. Data were analyzed by stages of reduction, display and conclusion drawing or verification. The…
Descriptors: Foreign Countries, Computer Science Education, Virtual Classrooms, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
He, Tung-hsien – SAGE Open, 2019
This study employed a mixed-design approach and the Many-Facet Rasch Measurement (MFRM) framework to investigate whether rater bias occurred between the onscreen scoring (OSS) mode and the paper-based scoring (PBS) mode. Nine human raters analytically marked scanned scripts and paper scripts using a six-category (i.e., six-criterion) rating…
Descriptors: Computer Assisted Testing, Scoring, Item Response Theory, Essays
Peer reviewed Peer reviewed
Direct linkDirect link
Perin, Dolores; Lauterbach, Mark – International Journal of Artificial Intelligence in Education, 2018
The problem of poor writing skills at the postsecondary level is a large and troubling one. This study investigated the writing skills of low-skilled adults attending college developmental education courses by determining whether variables from an automated scoring system were predictive of human scores on writing quality rubrics. The human-scored…
Descriptors: College Students, Writing Evaluation, Writing Skills, Developmental Studies Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael – Applied Measurement in Education, 2016
Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…
Descriptors: Essays, Learning Disabilities, Attention Deficit Hyperactivity Disorder, Scoring
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Burstein, Jill; McCaffrey, Dan; Beigman Klebanov, Beata; Ling, Guangming – Grantee Submission, 2017
No significant body of research examines writing achievement and the specific skills and knowledge in the writing domain for postsecondary (college) students in the U.S., even though many at-risk students lack the prerequisite writing skills required to persist in their education. This paper addresses this gap through a novel…
Descriptors: Computer Software, Writing Evaluation, Writing Achievement, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Ming; Li, Yi; Xu, Weiwei; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Writing an essay is a very important skill for students to master, but a difficult task for them to overcome. It is particularly true for English as Second Language (ESL) students in China. It would be very useful if students could receive timely and effective feedback about their writing. Automatic essay feedback generation is a challenging task,…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Hoang, Giang Thi Linh; Kunnan, Antony John – Language Assessment Quarterly, 2016
Computer technology made its way into writing instruction and assessment with spelling and grammar checkers decades ago, but more recently it has done so with automated essay evaluation (AEE) and diagnostic feedback. And although many programs and tools have been developed in the last decade, not enough research has been conducted to support or…
Descriptors: Case Studies, Essays, Writing Evaluation, English (Second Language)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lipnevich, Anastasiya A.; Smith, Jeffrey K. – ETS Research Report Series, 2008
This experiment involved college students (N = 464) working on an authentic learning task (writing an essay) under 3 conditions: no feedback, detailed feedback (perceived by participants to be provided by the course instructor), and detailed feedback (perceived by participants to be computer generated). Additionally, conditions were crossed with 2…
Descriptors: Feedback (Response), Information Sources, College Students, Essays
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Jinhao; Brown, Michelle Stallone – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2008
The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters' performance.…
Descriptors: Scoring, Essays, Computer Assisted Testing, Sentence Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Davies, Phil – Innovations in Education and Teaching International, 2006
This paper reports the results of a study into the quality of peer feedback provided by students within a computerised peer-assessment environment. The study looks at the creation of a "feedback index" that represents the quality of an essay based upon the feedback provided during a peer-marking process and identifies a significant…
Descriptors: Feedback, Correlation, Computer Assisted Testing, Peer Evaluation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Previous Page | Next Page »
Pages: 1  |  2