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Gandini, Elena A. M.; Horák, Tania – Language Learning in Higher Education, 2020
This contribution reports on the developing and piloting of a computer-based version of the test of English as a foreign language produced by the University of Central Lancashire (UCLan), where it is currently used for the admission of international students and the subsequent evaluation of their language progress. Among other benefits,…
Descriptors: Computer Assisted Testing, Feedback (Response), Foreign Countries, English (Second Language)
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Huda, S. S. M.; Kabir, Md.; Siddiq, Tanvir – International Journal of Education and Development using Information and Communication Technology, 2020
This paper aims to examine the effectiveness of e-assessment in higher education from the perspective of students, and it also examines the student's reaction to this method. There are many developing countries that have begun to explore technology-based assessment systems. The new assessment system has benefits to institutions and to students.…
Descriptors: Computer Assisted Testing, Student Attitudes, Program Effectiveness, Technology Uses in Education
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Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
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Nguyen, Joseph G.; Keuseman, Kristopher J.; Humston, Jonathan J. – Journal of Chemical Education, 2020
When campuses across the world needed to transition to the online format due to the COVID-19 pandemic, there were many challenges educators faced, and addressing academic integrity issues were some of the most important. Certain strategies, such as online proctoring or additional software, were not available to most institutions because the…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
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Chang, Shao-Chen; Hsu, Ting-Chia; Kuo, Wei-Chen; Jong, Morris Siu-Yung – British Journal of Educational Technology, 2020
Science and technology are driving people's life changes, including education and the environment. Many scholars have attempted to import technology into the classroom to help students learn in different subjects. However, students often need assistance with unfamiliar learning approaches and learning environments. This study proposed a…
Descriptors: Computer Simulation, Elementary School Students, Children, Geology
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Sahin, Füsun; Colvin, Kimberly F. – Large-scale Assessments in Education, 2020
The item responses of examinees who rapid-guess, who do not spend enough time reading and engaging with an item, will not reflect their true ability on that item. Rapid-disengagement refers to rapidly selecting a response to multiple-choice items (i.e., rapid-guess), omitting items, or providing short-unrelated answers to open-ended items in an…
Descriptors: Guessing (Tests), Item Response Theory, Reaction Time, Learner Engagement
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Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Reading Teacher, 2020
The authors describe Monster, P.I., which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests
Albus, Deb A.; Lazarus, Sheryl S.; Thurlow, Martha L.; Larson, Erik D.; Liu, Kristin K. – National Center on Educational Outcomes, 2020
Text-to-speech (TTS) refers to technology that reads aloud digital text (Understood, 2019). For years, TTS and its human counterpart--read aloud--have generated controversy about when and for whom these supports should be allowed on state assessments (Thurlow, Christensen, & Rogers, n.d.; Thurlow & Weiner, n.d.; Thurlow, Laitusis, Dillon,…
Descriptors: Testing Accommodations, Assistive Technology, State Policy, Reading Tests
New York State Education Department, 2020
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2020 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2020…
Descriptors: Grade 6, Grade 7, Grade 8, English
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Veal, Britney; Sadeq, Nasreen A.; Atkinson, Taylor J.; Andel, Ross – Health Education & Behavior, 2023
Objectives: Volunteering promotes well-being and may provide added purpose to life after retirement. Limited evidence exists regarding the characteristics and study adherence among those who participate in longitudinal studies while also volunteering outside the study. We assessed characteristics and adherence of older adults who volunteered…
Descriptors: Volunteers, Well Being, Longitudinal Studies, Cognitive Ability
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Kao, Yu-Ting; Kuo, Hung-Chih – Interactive Learning Environments, 2023
This study implemented the principles of dynamic assessment (DA) with computer technology, iSpring Quiz Maker, to (1) identify the English listening difficulties of 172 L2 English learners; (2) diagnose their individual learning needs, and (3) promote their future potential abilities. Upon evaluating the participating junior high school students'…
Descriptors: Listening Comprehension Tests, English (Second Language), Second Language Learning, Second Language Instruction
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Mumtaz, Sabiha; Parahoo, Sanjai K.; Gupta, Namrata; Harvey, Heather L. – Quality Assurance in Education: An International Perspective, 2023
Purpose: This paper aims to investigate the major challenges faced and lessons learned during the unplanned transition to online examinations (OE) at a traditional university following the COVID-19 pandemic. Design/methodology/approach: This exploratory study involved two distinct samples (110 students and 30 instructors) drawn from a large public…
Descriptors: Student Evaluation, Computer Assisted Testing, Electronic Learning, Educational Change
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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared "striving learner" students who were assigned to use i-Ready Personalized Instruction (Treatment students) and "striving learner" students assigned to only receive i-Ready…
Descriptors: Mathematics Achievement, Elementary School Mathematics, Individualized Instruction, Influences
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Domínguez, César; López-Cuadrado, Javier; Armendariz, Anaje; Jaime, Arturo; Heras, Jónathan; Pérez, Tomás A. – Computer Assisted Language Learning, 2019
In this work, we explore the differences between proctored and unproctored Internet administration for a Basque language low-stakes test considering demographic factors such as age, gender, and knowledge level in the subject. To this aim, we have developed an ad hoc application that allows us to establish a set of filters and techniques that…
Descriptors: Language Tests, Computer Assisted Testing, Supervision, Internet
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Neumann, Michelle M.; Neumann, David L. – International Journal of Research & Method in Education, 2019
Touch screen tablets are being increasingly used in schools for learning and assessment. However, the validity and reliability of assessments delivered via tablets are largely unknown. The present study tested the psychometric properties of a tablet-based app designed to measure early literacy skills. Tablet-based tests were also compared with…
Descriptors: Test Validity, Computer Assisted Testing, Handheld Devices, Emergent Literacy
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