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Showing 1 to 15 of 33 results Save | Export
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Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Yildirim-Erbasli, Seyma N.; Bulut, Okan; Demmans Epp, Carrie; Cui, Ying – Journal of Educational Technology Systems, 2023
Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Mediated Communication, Formative Evaluation
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Ponce, Héctor R.; Mayer, Richard E.; Sitthiworachart, Jirarat; López, Mario J. – Educational Technology Research and Development, 2020
The transition from paper-based tests to corresponding computer-administered tests allows for the incorporation of improved interfaces that support response making. The main research question is whether innovative interfaces affect test response time and/or response accuracy. This study compared performance on banked cloze tests using a…
Descriptors: Cloze Procedure, Eye Movements, Reaction Time, Accuracy
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Sabjan, Aniza; Wahab, Alawiyah Abd; Ahmad, Azizah; Ahmad, Rahayu; Hassan, Syahida; Wahid, Juliana – Asian Journal of University Education, 2020
The purpose of this study is to investigate the quality design criteria for developing a Massive Open Online Course (MOOC). Currently, there are limited studies that highlight the required design criteria for the MOOC programming courses. A descriptive analysis was conducted to examine the characteristics of the three important quality design…
Descriptors: Online Courses, Educational Quality, Design Requirements, Instructional Design
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Veerbeek, Jochanan; Vogelaar, Bart; Verhaegh, Janneke; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2019
Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and posttest) to investigate children's task solving…
Descriptors: Young Children, Pretests Posttests, Problem Solving, Outcomes of Education
Nakamura, Yasuyuki; Nakahara, Takahiro – International Association for Development of the Information Society, 2016
Developing online test environments for e-learning for mobile devices will be useful to increase drill practice opportunities. In order to provide a drill practice environment for calculus using an online math test system, such as STACK, we develop a flickable math input interface that can be easily used on mobile devices. The number of taps…
Descriptors: Electronic Learning, Handheld Devices, Computer Assisted Testing, Drills (Practice)
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Mavletova, Aigul; Couper, Mick P. – Field Methods, 2016
There is some evidence that a scrolling design may reduce breakoffs in mobile web surveys compared to a paging design, but there is little empirical evidence to guide the choice of the optimal number of items per page. We investigate the effect of the number of items presented on a page on data quality in two types of questionnaires: with or…
Descriptors: Questionnaires, Telecommunications, Handheld Devices, Online Surveys
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Han, Kyung T. – Applied Psychological Measurement, 2013
Multistage testing, or MST, was developed as an alternative to computerized adaptive testing (CAT) for applications in which it is preferable to administer a test at the level of item sets (i.e., modules). As with CAT, the simulation technique in MST plays a critical role in the development and maintenance of tests. "MSTGen," a new MST…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computer Software, Simulation
Yagci, Mustafa; Ünal, Menderes – Online Submission, 2014
A design and application of adaptive online exam system are carried out in this paper. Adaptive exam systems determine different question sets automatically and interactively for each student and measure their competence on a certain area of discipline instead of comparing their gains with each other. Through an adaptive exam technique, a…
Descriptors: Adaptive Testing, Expertise, Information Security, Databases
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Swiggett, Wanda D.; Kotloff, Laurie; Ezzo, Chelsea; Adler, Rachel; Oliveri, Maria Elena – ETS Research Report Series, 2014
The computer-based "Graduate Record Examinations"® ("GRE"®) revised General Test includes interactive item types and testing environment tools (e.g., test navigation, on-screen calculator, and help). How well do test takers understand these innovations? If test takers do not understand the new item types, these innovations may…
Descriptors: College Entrance Examinations, Graduate Study, Usability, Test Items
Doorey, Nancy – Smarter Balanced Assessment Consortium, 2014
Between March and June of 2014, the Smarter Balanced Assessment Consortium conducted a field test of its new online assessment system. Thirteen participating states provided the results of surveys given to students and adults involved in the Field Test. Overall, more than 70% of test coordinators in each of seven states indicated that the Field…
Descriptors: Field Tests, Computer Assisted Testing, Student Surveys, Surveys
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Sundar, S. Shyam; Marathe, Sampada S. – Human Communication Research, 2010
What makes customization so appealing? Is it because the content is tailored or because the user feels greater agency? Study 1 tested these propositions with a news-aggregator Website that was either personalized (system-tailored), customized (user-tailored), or neither. Power users rated content quality higher when it had a customizable…
Descriptors: Internet, Web Sites, Adaptive Testing, Computer Assisted Testing
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Sarris, Menelaos; Panagiotakopoulos, Chris – Themes in Science and Technology Education, 2010
Up-to-date spelling process was assessed using typical spelling-to-dictation tasks, where children's performance was evaluated mainly in terms of spelling error scores. In the present work a simple graphical computer interface is reported, aiming to investigate the effects of input modality (e.g. visual and verbal) in word spelling. The software…
Descriptors: Spelling, Computer Assisted Testing, Computer Interfaces, Elementary School Students
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