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Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Hundhausen, C. D.; Conrad, P. T.; Carter, A. S.; Adesope, O. – Computer Science Education, 2022
Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…
Descriptors: Computer Software, Computer Science Education, Correlation, Engineering Education
Mantawy, Islam M.; Rusch, Conner; Ghimire, Sushil; Lantz, Lucas; Dhamala, Hari; Shrestha, Bipesh; Lampert, Anthony; Khadka, Mohit; Bista, Anima; Soni, Rhytham; Shaik, Abdulu Saleem; Lujan, Eric; Boyd, Mika; Pickings, Richard; Mabrich, Alexander – Education Sciences, 2019
Educational approaches in structural engineering have focused on classical methods for solving problems with manual calculations through assignments, quizzes, and exams. The use of computational software to apply the learned knowledge has been ignored for decades. This paper describes an educational approach to tackle the lack of applicable…
Descriptors: Engineering Education, Active Learning, Student Projects, Construction (Process)
Bajzelj, Bojana; Fenner, Richard A.; Curmi, Elizabeth; Richards, Keith S. – International Journal of Sustainability in Higher Education, 2016
Purpose: The purpose of this paper was to enhance and complement teaching about resource system feedbacks and environmental modelling. Students were given an interactive exercise based on a research model (ForeseerTM), developed by an inter-disciplinary research team, that explores the interconnectivity of water, energy and land resources. Two…
Descriptors: Natural Resources, Environmental Education, Interdisciplinary Approach, Vignettes
Eckhouse, Barry; Carroll, Rebecca – Business Communication Quarterly, 2013
Although relatively little attention has been given to the voice assessment of student work, at least when compared with more traditional forms of text-based review, the attention it has received strongly points to a promising form of review that has been hampered by the limits of an emerging technology. A fresh review of voice assessment in light…
Descriptors: Undergraduate Students, Graduate Students, Business Administration Education, Student Surveys
Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2015
For the thirty-eighth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Indianapolis, Indiana. The Proceedings of AECT's Convention are published in two…
Descriptors: Social Networks, Cognitive Processes, Professional Development, Active Learning
IEEE Conference on Software Engineering Education and Training, Proceedings (MS), 2012
The Conference on Software Engineering Education and Training (CSEE&T) is the premier international peer-reviewed conference, sponsored by the Institute of Electrical and Electronics Engineers, Inc. (IEEE) Computer Society, which addresses all major areas related to software engineering education, training, and professionalism. This year, as…
Descriptors: Computer Science Education, Engineering Education, Computer Software, Conferences (Gatherings)
Grimes, Douglas; Warschauer, Mark – Journal of Technology, Learning, and Assessment, 2010
Automated writing evaluation (AWE) software uses artificial intelligence (AI) to score student essays and support revision. We studied how an AWE program called MY Access![R] was used in eight middle schools in Southern California over a three-year period. Although many teachers and students considered automated scoring unreliable, and teachers'…
Descriptors: Automation, Writing Evaluation, Essays, Artificial Intelligence
Briggs, Linda L. – T.H.E. Journal, 2007
Business intelligence (BI) tools offer schools the ability to look beyond a routine statistic, such as what percentage of students have passed a given test. Through data analysis, schools can view specific scores for a select group of students, for example, and compare that data to other groups, classes, or teachers. That is the kind of…
Descriptors: Federal Legislation, Data Analysis, School Districts, Intelligence
Hernandez-Ramos, Pedro; De La Paz, Susan – Journal of Research on Technology in Education, 2009
This article describes a study in which eighth grade students in one school learned to create multimedia mini-documentaries in a six-week history unit on early 19th-century U.S. history. The authors examined content knowledge tests, group projects, and attitude and opinion surveys to determine relative benefits for students who participated in a…
Descriptors: Student Projects, Active Learning, Documentaries, Grade 8
Herman, Joan L.; Choi, Kilchan – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
This article articulates a framework for examining the quality of formative assessment practice and provides empirical evidence in support of one of its components. Based on a study of middle school science, the study examines the accuracy of teachers' judgments of students' understanding and the relationship of such accuracy to middle school …
Descriptors: Formative Evaluation, Middle School Students, Secondary School Science, Student Evaluation