NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 2,236 to 2,250 of 7,091 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Yune S.; Ahn, Sanghoon; Holt, Rachael Frush; Schellenberg, E. Glenn – Developmental Psychology, 2020
Scholars debate whether musical and linguistic abilities are associated or independent. In the present study, we examined whether musical rhythm skills predict receptive grammar proficiency in childhood. In Experiment 1, 7- to 17-year-old children (N = 68) were tested on their grammar and rhythm abilities. In the grammar-comprehension task,…
Descriptors: Language Rhythm, Grammar, Task Analysis, Phrase Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Relkin, Emily; de Ruiter, Laura; Bers, Marina Umaschi – Journal of Science Education and Technology, 2020
There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…
Descriptors: Developmentally Appropriate Practices, Computation, Thinking Skills, Early Childhood Education
Peer reviewed Peer reviewed
Direct linkDirect link
Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Mooney, Paul; Lastrapes, Renée E. – Assessment for Effective Intervention, 2020
We conducted conceptual replications for an online-administered general outcome measure known as critical content monitoring in science. Totally, 547 Grades 4 to 6 students from a rural Louisiana school district participated. Research questions addressed criterion validity, diagnostic accuracy, growth, and social validity concerns. Criterion…
Descriptors: Elementary School Students, Outcome Measures, Science Tests, Outcomes of Education
Peer reviewed Peer reviewed
Direct linkDirect link
Duxbury, Theodore; Bradshaw, Karen; Khamanga, Sandile; Tandlich, Roman; Srinivas, Sunitha – Applied Environmental Education and Communication, 2020
To increase individual and communal environmental health awareness through an experiential-education project. A computer-based pre- and postintervention quiz; an educational poster; an interactive board game; and a take-home information leaflet were utilized for a school learners-centered health promotion exhibit at a National Science Festival in…
Descriptors: Experiential Learning, Foreign Countries, Intervention, Natural Resources
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
New York State Education Department, 2020
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Teymour Rahmati; Musa Nushi – Iranian Journal of Language Teaching Research, 2023
Drawing on duoethnography, the teacher researchers in the present study interacted with the relevant literature, engaged in dialogs, and shared artifacts to examine their knowledge, beliefs, and practices regarding fairness and justice considerations in technology-enhanced language classroom assessment. Under the domain of knowledge, they…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, High Stakes Tests
Peer reviewed Peer reviewed
Direct linkDirect link
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Sayyadi, Ali; Rezvani, Reza – Language Testing in Asia, 2021
Admission in English-medium universities or institutions of higher education depends on the results obtained by candidates in large-scale proficiency tests including Test of English as a Foreign Language (TOEFL) internet-based test (iBT). The structure and administration procedure of the TOEFL iBT speaking test leaves no room for carrying out…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Alarcón López, Cristina; Decuypere, Mathias; Dey, Joyeeta; Gorur, Radhika; Hamilton, Mary; Lundahl, Christian; Sundström Sjödin, Elin – European Educational Research Journal, 2021
In this paper, we explore the improvisations made in examination practices in higher education during the pandemic of 2020. Drawing on STS, we start from the theoretical assumption that examinations constitute an obligatory passage point in universities and colleges: a sacred point which students need to pass if they want to gain recognized…
Descriptors: COVID-19, Pandemics, Student Evaluation, Testing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ElSayary, Areej – Journal of Turkish Science Education, 2021
This study investigates teachers' perceptions and practices of designing and teaching transdisciplinary STEAM curriculum using online authentic assessment. Aligning the transdisciplinary STEAM curriculum to authentic assessment is a conceptual framework that guided this study to focus on the three learning domains (cognitive, psychomotor, and…
Descriptors: Curriculum Design, STEM Education, Art Education, Teacher Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Hsu, Chia-Ling; Wang, Wen-Chung – Journal of Educational Measurement, 2015
Cognitive diagnosis models provide profile information about a set of latent binary attributes, whereas item response models yield a summary report on a latent continuous trait. To utilize the advantages of both models, higher order cognitive diagnosis models were developed in which information about both latent binary attributes and latent…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Cognitive Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
Pages: 1  |  ...  |  146  |  147  |  148  |  149  |  150  |  151  |  152  |  153  |  154  |  ...  |  473