Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 8 |
Descriptor
Source
Author
Publication Type
Reports - Evaluative | 12 |
Journal Articles | 11 |
Information Analyses | 1 |
Education Level
Elementary Secondary Education | 2 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Rauber, Marcelo Fernando; Gresse Von Wangenheim, Christiane – Informatics in Education, 2023
Although Machine Learning (ML) has already become part of our daily lives, few are familiar with this technology. Thus, in order to help students to understand ML, its potential, and limitations and to empower them to become creators of intelligent solutions, diverse courses for teaching ML in K-12 have emerged. Yet, a question less considered is…
Descriptors: Artificial Intelligence, Technology Education, Elementary Secondary Education, Educational Strategies
Behizadeh, Nadia; Lynch, Tom Liam – Berkeley Review of Education, 2017
For the last century, the quality of large-scale assessment in the United States has been undermined by narrow educational theory and hindered by limitations in technology. As a result, poor assessment practices have encouraged low-level instructional practices that disparately affect students from the most disadvantaged communities and schools.…
Descriptors: Equal Education, Measurement, Educational Theories, Evaluation Methods
Gorin, Joanna S.; O'Reilly, Tenaha; Sabatini, John; Song, Yi; Deane, Paul – Grantee Submission, 2014
Recent advances in cognitive science and psychometrics have expanded the possibilities for the next generation of literacy assessment as an integrated domain (Bennett, 2011a; Deane, Sabatini, & O'Reilly, 2011; Leighton & Gierl, 2011; Sabatini, Albro, & O'Reilly, 2012). In this paper, we discuss four key areas supporting innovations in…
Descriptors: Literacy Education, Evaluation Methods, Measurement Techniques, Student Evaluation
Yoshimi, Takehiko; Kotani, Katsunori; Isahara, Hitoshi – Online Submission, 2012
The present paper proposes and evaluates a readability assessment method designed for Japanese learners of EFL (English as a foreign language). The proposed readability assessment method is constructed by a regression algorithm using a new set of linguistic features that were employed separately in previous studies. The results showed that the…
Descriptors: Readability, Evaluation Methods, Automation, English (Second Language)
Cechinel, Cristian; Sanchez-Alonso, Salvador; Garcia-Barriocanal, Elena – Computers & Education, 2011
The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…
Descriptors: Discriminant Analysis, Educational Resources, Classification, Automation
Kakkonen, Tuomo; Myller, Niko; Sutinen, Erkki; Timonen, Jari – Educational Technology & Society, 2008
Automatic Essay Assessor (AEA) is a system that utilizes information retrieval techniques such as Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA) for automatic essay grading. The system uses learning materials and relatively few teacher-graded essays for calibrating the scoring…
Descriptors: Grading, Essays, Automation, Semantics
Williamson, David M.; Bejar, Isaac I.; Sax, Anne – Applied Measurement in Education, 2004
As automated scoring of complex constructed-response examinations reaches operational status, the process of evaluating the quality of resultant scores, particularly in contrast to scores of expert human graders, becomes as complex as the data itself. Using a vignette from the Architectural Registration Examination (ARE), this article explores the…
Descriptors: Validity, Scoring, Scores, Evaluation Methods

Ribeiro-Neto, Berthier; Laender, Alberto H. F.; de Lima, Luciano R. S. – Journal of the American Society for Information Science and Technology, 2001
Evaluates the retrieval performance of an algorithm that automatically categorizes medical documents, which consists in assigning an International Code of Disease (ICD) based on well-known information retrieval techniques. Reports on experimental results that tested precision using a database of over 20,000 medical documents. (Author/LRW)
Descriptors: Algorithms, Automation, Classification, Databases
Douce, Christopher; Livingstone, David; Orwell, James – Journal on Educational Resources in Computing, 2005
Systems that automatically assess student programming assignments have been designed and used for over forty years. Systems that objectively test and mark student programming work were developed simultaneously with programming assessment in the computer science curriculum. This article reviews a number of influential automatic assessment systems,…
Descriptors: Electronic Learning, Programming, Curriculum, Computer Science

Bejar, Isaac I.; Braun, Henry I. – Machine-Mediated Learning, 1994
Argues that synergy between computer-based instruction and automated assessment is possible because of the common needs in assessment and instruction; outlines a framework for characterizing performance; and examines procedures developed as part of an ongoing project to develop fully automated scoring of architectural design for a licensing exam.…
Descriptors: Automation, Building Design, Computer Assisted Instruction, Computer Assisted Testing