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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
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
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
Taghizadeh, Masoomeh – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Within the last two decades, researchers have begun to investigate how L2 learners process syntactic, morpho-syntactic, and lexical information during the comprehension of L2 sentences. The present study aimed to add to research by investigating how L1 influences L2 processing of sentences indicating plurality in constructions involving numerals.…
Descriptors: Nouns, Indo European Languages, Reaction Time, Language Processing
Cox, Troy L.; Brown, Alan V.; Thompson, Gregory L. – Language Testing, 2023
The rating of proficiency tests that use the Inter-agency Roundtable (ILR) and American Council on the Teaching of Foreign Languages (ACTFL) guidelines claims that each major level is based on hierarchal linguistic functions that require mastery of multidimensional traits in such a way that each level subsumes the levels beneath it. These…
Descriptors: Oral Language, Language Fluency, Scoring, Cues
Hopp, Holger; Grüter, Theres – Second Language Research, 2023
In two visual-world eye-tracking experiments, we explore the extent to which conflicting first-language (L1) based grammatical parses influence second-language (L2) learners' on-line and off-line interpretation of sentences in the L2. We used cross-linguistic structural priming to potentially boost competition from the L1 grammar during the…
Descriptors: Contrastive Linguistics, Second Language Learning, Second Language Instruction, Grammar
Mire, Sarah S.; Keller-Margulis, Milena A.; Izuno-Garcia, Amy K.; Jellinek, Emily R.; Loría Garro, Elías S. – Psychology in the Schools, 2023
Students with autism may struggle to develop the academic skills necessary for success in school and beyond. Understanding and improving academic skills performance requires appropriate measurement approaches. One such option that has been minimally studied with students with autism is curriculum-based measurement (CBM). Coinciding with the need…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Feasibility Studies, Curriculum Based Assessment
Rassaei, Ehsan – Language Learning Journal, 2023
The present study investigated the effects of text-based and audio-based dynamic glosses on L2 vocabulary learning within a sociocultural approach. Dynamic glosses were operationalised as a set of incrementally ordered prompts, provided during text-based and audio-based interactions that guided the participants to identify the meaning of unknown…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Student Evaluation
Zhang, Xiaopeng; Mai, Chunping – Language Teaching Research, 2023
This article reports on two studies, testing how three different types of input (skewed first, skewed random and balanced) affect second language (L2) learning of English present counterfactual (IF-Is) and past counterfactual (IF-IIs) conditionals, two constructions differing in complexity. The experiment included a proficiency test, a pretest, a…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, English (Second Language)

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