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Showing 1 to 15 of 18 results Save | Export
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Nazaretsky, Tanya; Hershkovitz, Sara; Alexandron, Giora – International Educational Data Mining Society, 2019
Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…
Descriptors: Intelligent Tutoring Systems, Item Response Theory, Measurement, Testing
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Mark Wilson; Kathleen Scalise; Perman Gochyyev – Educational Psychology, 2019
In this article, we describe a software system for assessment development in online learning environments in contexts where there are robust links to cognitive modelling including domain and student modelling. BEAR Assessment System Software (BASS) establishes both a theoretical basis for the domain modelling logic, and offers tools for delivery,…
Descriptors: Computer Software, Electronic Learning, Test Construction, Intelligent Tutoring Systems
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Conejo, Ricardo; Guzmán, Eduardo; Trella, Monica – International Journal of Artificial Intelligence in Education, 2016
This article describes the evolution and current state of the domain-independent Siette assessment environment. Siette supports different assessment methods--including classical test theory, item response theory, and computer adaptive testing--and integrates them with multidimensional student models used by intelligent educational systems.…
Descriptors: Automation, Student Evaluation, Intelligent Tutoring Systems, Item Banks
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Baker, Ryan S.; Corbett, Albert T. – Research & Practice in Assessment, 2014
Many university leaders and faculty have the goal of promoting learning that connects across domains and prepares students with skills for their whole lives. However, as assessment emerges in higher education, many assessments focus on knowledge and skills that are specific to a single domain. Reworking assessment in higher education to focus on…
Descriptors: Educational Assessment, Data Collection, Information Retrieval, Learning Processes
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
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Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience
West, Darrell M. – Brookings Institution, 2012
Twelve-year-old Susan took a course designed to improve her reading skills. She read short stories and the teacher would give her and her fellow students a written test every other week measuring vocabulary and reading comprehension. A few days later, Susan's instructor graded the paper and returned her exam. The test showed that she did well on…
Descriptors: Data Processing, Internet, Pattern Recognition, Data Analysis
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El Saadawi, Gilan M.; Azevedo, Roger; Castine, Melissa; Payne, Velma; Medvedeva, Olga; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Crowley, Rebecca S. – Advances in Health Sciences Education, 2010
Previous studies in our laboratory have shown the benefits of immediate feedback on cognitive performance for pathology residents using an intelligent tutoring system (ITS) in pathology. In this study, we examined the effect of immediate feedback on metacognitive performance, and investigated whether other metacognitive scaffolds will support…
Descriptors: Feedback (Response), Control Groups, Intervention, Intelligent Tutoring Systems
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He, Yulan; Hui, Siu Cheung; Quan, Tho Thanh – Computers & Education, 2009
Summary writing is an important part of many English Language Examinations. As grading students' summary writings is a very time-consuming task, computer-assisted assessment will help teachers carry out the grading more effectively. Several techniques such as latent semantic analysis (LSA), n-gram co-occurrence and BLEU have been proposed to…
Descriptors: Semantics, Intelligent Tutoring Systems, Grading, Computer Assisted Testing
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Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
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Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
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Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta – Educational Technology & Society, 2008
Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…
Descriptors: Foreign Countries, Feedback (Response), Programming Languages, Experiments
Bunderson, C. Victor; And Others – 1988
Educational measurement is undergoing a revolution due to the rapid dissemination of information-processing technology. The recent growth in computing resources and their widespread dissemination in daily life have brought about irreversible changes in educational measurement. Recent developments in computerized measurement are summarized by…
Descriptors: Academic Achievement, Adaptive Testing, Computer Assisted Testing, Educational Assessment
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Villar, Luis M.; Alegre, Olga M. – ALT-J: Research in Learning Technology, 2007
This article evaluates the role of the Online Faculty Development and Assessment System (OFDAS), created at universities in the Canary Islands, Spain, in staff development. The evaluation indicates that the system helped staff in learning to teach curriculum and teaching capacities. The tasks, online resources and opportunities for discussions…
Descriptors: Faculty Development, College Faculty, Program Evaluation, Teacher Attitudes
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