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Hart, Cassandra M. D.; Hill, Michael; Alonso, Emily; Xu, Di – Annenberg Institute for School Reform at Brown University, 2022
While the COVID-19 pandemic necessitated the short-term use of online courses, colleges' experiences with COVID-era online course delivery may also affect the way that they offer and approach online courses going forward. We draw on interviews with 35 distance education leaders from the California Community Colleges system to provide insights into…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Assessment in Education: Principles, Policy & Practice, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
Coetzee, Stephen A.; Schmulian, Astrid; Janse van Rensburg, Cecile – Accounting Education, 2023
As a result of containment measures implemented during COVID-19, the authors needed to re-envision and restructure in-person assessments for learning that provided immediate peer feedback to students in their competency-based financial reporting course. Peer feedback is crucial in competency-based education, as mastering a competency necessitates…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Computer Assisted Testing
Siyuan Shao – SAGE Open, 2023
After the outbreak of the COVID-19 pandemic, distance teaching brought on unforeseen challenges around the world, including classroom-based assessment practice. However, little attention has been paid to teachers' assessment practice and their identity as assessor in the new teaching situation. This study examines Chinese K-12 in-service EFL…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Assisted Testing, Foreign Countries
Sangsuwan, Wiramon; Rukthong, Anchana – LEARN Journal: Language Education and Acquisition Research Network, 2023
A direct test of English speaking is important to evaluate what learners can do in real-life situations. However, due to challenges in test administration, especially with a large number of test-takers, a direct speaking test may not be feasible in many contexts and thus indirect tests, such as conversational cloze tests, are mainly used. In…
Descriptors: Language Tests, Speech Communication, Computer Assisted Testing, English (Second Language)
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
Miihkinen, Antti – Accounting Education, 2023
This study examines business students' learning and assessment under remote teachings during the COVID-19 pandemic in a well-established Finnish university. A survey method is used to collect information on 336 business students including 42 accounting students. As indicated by students' responses, a majority of the students succeeded in assessing…
Descriptors: Foreign Countries, Business Administration Education, Accounting, College Students
Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
Zamzami Zainuddin – Asia Pacific Education Review, 2024
Increasing student engagement and improving learning outcomes are ongoing issues in higher education worldwide. These issues were particularly pertinent during the COVID-19 pandemic when remote learning was selected as the primary instructional learning setting. This study aims to assess the impact of gamification-based quiz instruction in driving…
Descriptors: Game Based Learning, Distance Education, Videoconferencing, Outcomes of Education
Wenyangzi Shi; Zohreh Shahbazi – Canadian Journal of Science, Mathematics and Technology Education, 2024
The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…
Descriptors: Statistics Education, Online Courses, COVID-19, Pandemics
David Allen; Rie Koizumi – Language Assessment Quarterly, 2024
"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Junior High School Students
Kershree Padayachee; M. Matimolane – Teaching in Higher Education, 2025
In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…
Descriptors: Educational Quality, Social Justice, Distance Education, Feedback (Response)

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