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Bin Tan; Hao-Yue Jin; Maria Cutumisu – Computer Science Education, 2024
Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Student Evaluation
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Guher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
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
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Automated scoring models for the "e-rater"® scoring engine were built and evaluated for the "GRE"® argument and issue-writing tasks. Prompt-specific, generic, and generic with prompt-specific intercept scoring models were built and evaluation statistics such as weighted kappas, Pearson correlations, standardized difference in…
Descriptors: Scoring, Test Scoring Machines, Automation, Models
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lin, Fu-Ren; Hsieh, Lu-Shih; Chuang, Fu-Tai – Computers & Education, 2009
As course management systems (CMS) gain popularity in facilitating teaching. A forum is a key component to facilitate the interactions among students and teachers. Content analysis is the most popular way to study a discussion forum. But content analysis is a human labor intensity process; for example, the coding process relies heavily on manual…
Descriptors: Secondary School Science, Online Courses, Earth Science, Classification
Peer reviewedReplogle, William H.; Eicke, F. J. – Journal of School Psychology, 1985
Evaluated an automated analysis system for the Wechsler Intelligence Scale Revised. Results indicated significantly higher ratings for the automated analysis on an overall item and on items addressing Verbal-Performance, discrepancies, relative weaknesses, and relative lack of irresponsible interpretation. These results support cautious use of the…
Descriptors: Automation, Data Processing, Evaluation Methods, Test Interpretation
Peer reviewedZamora, E. M.; And Others – Information Processing and Management, 1981
Describes work performed under the Spelling Error Detection Correction Project (SPEEDCOP) at Chemical Abstracts Service to devise effective automatic methods of detecting and correcting misspellings in scholarly and scientific text. The trigram analysis technique developed determined sites but not types of errors. Thirteen references are listed.…
Descriptors: Automation, Computer Programs, Costs, Databases
Persico, Donatella; Pozzi, Francesca; Sarti, Luigi – Distance Education, 2010
Monitoring the learning process in computer supported collaborative learning (CSCL) environments is a key element for supporting the efficacy of tutor actions. This article proposes an approach for analysing learning processes in a CSCL environment to support tutors in their monitoring tasks. The approach entails tracking the interactions within…
Descriptors: Cues, Learning Activities, Learning Strategies, Learning Processes
Peer reviewedCrall, James J. – Journal of Dental Education, 1991
The paper addresses the potential of informatics to patient care quality assurance curricula, focusing on (1) terminology and developments related to quality of care evaluations; (2) criticisms of traditional approaches; (3) limitations of existing data sources for quality assurance in dentistry; and (4) quality assurance considerations in…
Descriptors: Automation, Data Analysis, Database Design, Databases
Farmer, James; And Others – 1979
Characteristics of student financial aid systems are reported and a framework for evaluating student financial aid systems and classifying major data processing designs is presented. The goals of a student financial aid system are discussed, including improved service to students, increased utilization of available funds, compliance with…
Descriptors: Automation, Compliance (Legal), Computer Programs, Computer Science
CROSSMAN, EDWARD R.F.W.; AND OTHERS – 1966
THE MAJOR OBJECTIVE WAS TO TEST THE HYPOTHESIS THAT THE HIGHEST LEVELS OF MECHANIZATION AND AUTOMATION GENERALLY REQUIRE LOWER LEVELS OF SKILLS THAN EARLIER PRODUCTION SYSTEMS. A SECONDARY OBJECTIVE WAS TO DEVELOP AN INSTRUMENT CAPABLE OF GIVING UNBIASED PROJECTIONS OF THE MANPOWER IMPACT OF SPECIFIC ADVANCES IN PRODUCTION TECHNOLOGY. DEPENDENT…
Descriptors: Administrative Policy, Aerospace Industry, Automation, Banking
Peer reviewedEstabrook, Leigh; And Others – Library Trends, 1992
Discusses the nature of support staff work in research libraries, changing authority structures, and the impact of technology on job responsibilities. A study considering work complexity, supervision, evaluation criteria, control and autonomy, and job satisfaction is reported. (17 references) (EA)
Descriptors: Automation, Cataloging, Difficulty Level, Evaluation Methods
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