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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
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
Mshayisa, Vusi Vincent; Basitere, Moses – Journal of Food Science Education, 2021
In STEM (science, technology, engineering, and mathematics) courses, undergraduate laboratory classes are vital for students to develop competencies such as critical observation, collaboration, critical thinking, technical, and problem-solving skills. Thus, for students to successfully acquire these competencies, preparation for laboratory classes…
Descriptors: Flipped Classroom, Teaching Methods, Student Attitudes, STEM Education
Tsaousis, Ioannis; Sideridis, Georgios D.; AlGhamdi, Hannan M. – Journal of Psychoeducational Assessment, 2021
This study evaluated the psychometric quality of a computerized adaptive testing (CAT) version of the general cognitive ability test (GCAT), using a simulation study protocol put forth by Han, K. T. (2018a). For the needs of the analysis, three different sets of items were generated, providing an item pool of 165 items. Before evaluating the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Cognitive Ability
Ponce, Héctor R.; Mayer, Richard E.; Loyola, María Soledad – Journal of Educational Computing Research, 2021
One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test…
Descriptors: Computer Assisted Testing, Test Construction, Standardized Tests, Elementary School Students
Bateson, Gordon – International Journal of Computer-Assisted Language Learning and Teaching, 2021
As a result of the Japanese Ministry of Education's recent edict that students' written and spoken English should be assessed in university entrance exams, there is an urgent need for tools to help teachers and students prepare for these exams. Although some commercial tools already exist, they are generally expensive and inflexible. To address…
Descriptors: Test Construction, Computer Assisted Testing, Internet, Writing Tests
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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