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Suendermann-Oeft, David; Ramanarayanan, Vikram; Yu, Zhou; Qian, Yao; Evanini, Keelan; Lange, Patrick; Wang, Xinhao; Zechner, Klaus – ETS Research Report Series, 2017
We present work in progress on a multimodal dialog system for English language assessment using a modular cloud-based architecture adhering to open industry standards. Among the modules being developed for the system, multiple modules heavily exploit machine learning techniques, including speech recognition, spoken language proficiency rating,…
Descriptors: Language Tests, Computer Assisted Testing, Artificial Intelligence, English (Second Language)
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Teneqexhi, Romeo; Qirko, Margarita; Sharko, Genci; Vrapi, Fatmir; Kuneshka, Loreta – International Association for Development of the Information Society, 2017
Exams assessment is one of the most tedious work for university teachers all over the world. Multiple choice theses make exams assessment a little bit easier, but the teacher cannot prepare more than 3-4 variants; in this case, the possibility of students for cheating from one another becomes a risk for "objective assessment outcome." On…
Descriptors: Testing, Computer Assisted Testing, Test Items, Test Construction
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Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
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Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
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Eckerly, Carol; Smith, Russell; Sowles, John – Practical Assessment, Research & Evaluation, 2018
The Discrete Option Multiple Choice (DOMC) item format was introduced by Foster and Miller (2009) with the intent of improving the security of test content. However, by changing the amount and order of the content presented, the test taking experience varies by test taker, thereby introducing potential fairness issues. In this paper we…
Descriptors: Culture Fair Tests, Multiple Choice Tests, Testing, Test Items
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DeMara, Ronald F.; Bacanli, Salih S.; Bidoki, Neda; Xu, Jun; Nassiff, Edwin; Donnelly, Julie; Turgut, Damla – Journal of Educational Technology Systems, 2020
This research developed an approach to integrate the complementary benefits of digitized assessments and peer learning. Its basic premise and associated hypotheses are that by using student assessments of correct and incorrect quiz answers using a fine-grained resolution to pair them into remediation peer-learning cohorts is an effective means of…
Descriptors: Undergraduate Students, Engineering Education, Computer Assisted Testing, Pilot Projects
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Ha, Minsu; Nehm, Ross H. – Journal of Science Education and Technology, 2016
Automated computerized scoring systems (ACSSs) are being increasingly used to analyze text in many educational settings. Nevertheless, the impact of misspelled words (MSW) on scoring accuracy remains to be investigated in many domains, particularly jargon-rich disciplines such as the life sciences. Empirical studies confirm that MSW are a…
Descriptors: Spelling, Case Studies, Computer Uses in Education, Test Scoring Machines
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Wise, Steven L. – Educational Measurement: Issues and Practice, 2017
The rise of computer-based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple-choice items. In particular, very short response…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Items, Reaction Time
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
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Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
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Isaacs, Talia – Language Assessment Quarterly, 2018
This article brings to the fore trends in second language (L2) pronunciation research, teaching, and assessment by highlighting the ways in which pronunciation instructional priorities and assessment targets have shifted over time, social dimensions that, although presented in a different guise, appear to have remained static, and principles in…
Descriptors: Second Language Instruction, Pronunciation Instruction, Educational Trends, Student Educational Objectives
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Frost, Kellie; Clothier, Josh; Huisman, Annemiek; Wigglesworth, Gillian – Language Testing, 2020
Integrated speaking tasks requiring test takers to read and/or listen to stimulus texts and to incorporate their content into oral performances are now used in large-scale, high-stakes tests, including the TOEFL iBT. These tasks require test takers to identify, select, and combine relevant source text information to recognize key relationships…
Descriptors: Discourse Analysis, Scoring Rubrics, Speech Communication, English (Second Language)
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Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Majid, Ishfaq – Online Submission, 2020
Assessment is always considered a key component in the process of teaching and learning. A major role is being played by ICT in making the process of assessment easy for teachers. As the use of ICT is increasing, the assessment is made now in a new and innovative manner. While employing ICT in assessment, the recording of responses and providing…
Descriptors: Information Technology, Teaching Methods, Learning Processes, Technology Uses in Education
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Çekiç, Ahmet; Bakla, Arif – International Online Journal of Education and Teaching, 2021
The Internet and the software stores for mobile devices come with a huge number of digital tools for any task, and those intended for digital formative assessment (DFA) have burgeoned exponentially in the last decade. These tools vary in terms of their functionality, pedagogical quality, cost, operating systems and so forth. Teachers and learners…
Descriptors: Formative Evaluation, Futures (of Society), Computer Assisted Testing, Guidance
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