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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
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
Cohen, Dale J.; Ballman, Alesha; Rijmen, Frank; Cohen, Jon – Applied Measurement in Education, 2020
Computer-based, pop-up glossaries are perhaps the most promising accommodation aimed at mitigating the influence of linguistic structure and cultural bias on the performance of English Learner (EL) students on statewide assessments. To date, there is no established procedure for identifying the words that require a glossary for EL students that is…
Descriptors: Glossaries, Testing Accommodations, English Language Learners, Computer Assisted Testing
Masango, Mxolisi; Muloiwa, Takalani; Wagner, Fezile; Pinheiro, Gabriela – Journal of Student Affairs in Africa, 2020
Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic…
Descriptors: Test Construction, Test Use, Biographical Inventories, Questionnaires
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)
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
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
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
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
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
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
Wagner, Elvis; Krylova, Anna – Language Assessment Quarterly, 2021
When the COVID-19 pandemic made it impossible to do in-person, on campus testing, we were forced to create a new system to screen International Teaching Assistants (ITA) for Temple university. We used this opportunity to address many of the concerns and problems that we had identified with the previous test, and created a new test that could be…
Descriptors: Placement Tests, COVID-19, Pandemics, Computer Assisted Testing
Ockey, Gary J.; Chukharev-Hudilainen, Evgeny – Applied Linguistics, 2021
A challenge of large-scale oral communication assessments is to feasibly assess a broad construct that includes interactional competence. One possible approach in addressing this challenge is to use a spoken dialog system (SDS), with the computer acting as a peer to elicit a ratable speech sample. With this aim, an SDS was built and four trained…
Descriptors: Oral Language, Grammar, Language Fluency, Language Tests

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