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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
Debarati Mukherjee; Supriya Bhavnani; Georgia Lockwood Estrin; Vaisnavi Rao; Jayashree Dasgupta; Hiba Irfan; Bhismadev Chakrabarti; Vikram Patel; Matthew K. Belmonte – Autism: The International Journal of Research and Practice, 2024
Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children's natural environments by non-specialists.…
Descriptors: Autism Spectrum Disorders, Young Children, Evaluation, Technology
Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation
Lahza, Hatim; Smith, Tammy G.; Khosravi, Hassan – British Journal of Educational Technology, 2023
Traditional item analyses such as classical test theory (CTT) use exam-taker responses to assessment items to approximate their difficulty and discrimination. The increased adoption by educational institutions of electronic assessment platforms (EAPs) provides new avenues for assessment analytics by capturing detailed logs of an exam-taker's…
Descriptors: Medical Students, Evaluation, Computer Assisted Testing, Time Factors (Learning)
Gulnur Tyulepberdinova; Madina Mansurova; Talshyn Sarsembayeva; Sulu Issabayeva; Darazha Issabayeva – Journal of Computer Assisted Learning, 2024
Background: This study aims to assess how well several machine learning (ML) algorithms predict the physical, social, and mental health condition of university students. Objectives: The physical health measurements used in the study include BMI (Body Mass Index), %BF (percentage of Body Fat), BSC (Blood Serum Cholesterol), SBP (Systolic Blood…
Descriptors: Artificial Intelligence, Algorithms, Predictor Variables, Physical Health
Asrial, Asrial; Syahrial, Syahrial; Kurniawan, Dwi Agus; Aldila, Febri Tia; Iqbal, Muhammad – Journal of Technology and Science Education, 2023
This study aims to see the effect of student perceptions on web-based character assessment on the results of student character assessment. The population in this study was a junior high school in Batanghari Regency with a sample of 322 students using the purposive sampling technique. Quantitative methods are used in this study with descriptive and…
Descriptors: Junior High School Students, Foreign Countries, Values Education, Web Browsers
Nina Charlotte Johanna Welsandt; Fabio Fortunati; Esther Winther; Hermann Josef Abs – Empirical Research in Vocational Education and Training, 2024
Background: Authentic situations are considered a source of learning due to their real world relevance. This can encourage learners to acquire new knowledge. Increasing digitisation and associated resources, such as professional development opportunities for teachers, technology tools, or digital equipment for schools enable the development and…
Descriptors: Test Construction, Test Validity, Evaluation, Educational Technology
Arnold, Ivo J. M. – Journal of Economic Education, 2022
The author of this article uses two empirical approaches to compare online to face-to-face proctored assessment. Using data from a Dutch economics program, he shows that the relationship between grades and human capital variables remains highly significant for courses with online proctored examinations. Additionally, a search for suspicious grade…
Descriptors: Foreign Countries, Supervision, Evaluation, Synchronous Communication
Vurdien, Ruby; Puranen, Pasi – Research-publishing.net, 2022
This paper explores and reports on teacher attitudes toward online assessment in foreign language teaching and learning in Spain and Finland. During the pandemic, teachers have had to face serious challenges, such as the method to be adopted, task design or handling student feedback, in order to ensure effective student assessment. They have had…
Descriptors: Foreign Countries, Language Teachers, Evaluation, Computer Assisted Testing
Mgbechikwere, Ikoro Francisca – International Society for Technology, Education, and Science, 2022
COVID-19 pandemic lockdown is an emergency period in education where assessment of teaching and learning became inevitable to determine effectiveness of the digital processes used. The objectives of this research are to; (a) investigate the types of assessment used during the COVID-19 pandemic in Nigeria; (b) establish the effectiveness of the…
Descriptors: Foreign Countries, Evaluation, Computer Assisted Testing, COVID-19
Choi, Jaehwa; Kim, HeeKyoung; Pak, Seohong – Journal of Educational Issues, 2018
The recent interests in research in the assessment field have been rapidly shifting from decision-maker-centered assessments to learner-centered assessments (i.e., diagnostic and/or formative assessments). In particular, it is a very important research topic in this field to analyze how these learner-centered assessments are developed more…
Descriptors: Formative Evaluation, Evaluation, High School Students, Foreign Countries
Broadbent, J.; Ajjawi, R.; Bearman, M.; Boud, D.; Dawson, P. – International Journal of Educational Technology in Higher Education, 2023
The COVID-19 pandemic significantly disrupted traditional methods of teaching and learning within higher education. But what remained when the pandemic passed? While the majority of the literature explores the shifts "during" the pandemic, with much speculation about post-pandemic futures, a clear understanding of lasting implications…
Descriptors: Universities, Foreign Countries, Course Content, Pandemics
Ashley Anne 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 reading achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) to students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Individualized Instruction, Reading Achievement, Influences, Evaluation
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
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 students in schools using i-Ready Personalized Instruction school-wide (Treatment students) and students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Elementary School Mathematics, Mathematics Achievement, Mathematics Tests, Individualized Instruction