Despite a growing body of work on understanding how students perceived the impacts of the COVID-19 pandemic, the effects on existing distance learning universities have received less attention. This study aimed to understand changes in distance learning students' study habits (learning, assessment and social activities) and assess the factors…

Jessica Wu is Research and Development Program Director at the Language Training and Testing Center (LTTC) in Taipei, Taiwan. Jessica has been deeply involved in the development and validation of the General English Proficiency Test (GEPT) in addition to a number of other foreign language testing programs. Her research focuses on speaking…

This study aimed to investigate children's potential for reasoning by analogy utilizing a newly-developed computerized dynamic test, and the potential differential influence of executive functions (cognitive flexibility, attention, and planning) on static and dynamic measures of analogical reasoning. Participants included 64 children (mean age =…

This mixed methods study compared IELTS examiners' scores when assessing spoken performances under live and two 'non-live' testing conditions using audio and video recordings. Six IELTS examiners assessed 36 test-takers' performances under the live, audio, and video rating conditions. Scores in the three rating modes were calibrated using the…

This study aims at determining the cyber accessibility of teacher-made exams by analyzing the teachers', students', and parents' views on this subject. To fulfill this purpose, 60 exam papers in 4 different courses, including Turkish, Mathematics, Science, Social Studies/Atatürk's Principles and Revolutions, were examined through the technique of…

Test development is a crucial, yet difficult and time-consuming part of any educational system, and the task often falls all on teachers. Automatic item generation systems have recently drawn attention as they can reduce this burden and make test development more convenient. Such systems have been developed to generate items for vocabulary,…

Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…

DALDIS is a three-year EU-funded Erasmus+ Project on Digital Assessment for Learning (2019-2022) involving five European countries. DALDIS is pilot testing a digital assessment for learning solution focused on Science and Modern Foreign Language Learning in years 5-9. Underpinned by the Study Quest technology, which is designed to drive students'…

This article uses data from site visits to four Hasidic elementary schools in Brooklyn to examine how specific learning, review, and testing activities used in these schools might be applied in other Jewish education classrooms to build knowledge depth and automaticity. The literature on learning and cognition in secular subjects has identified…

Automated Writing Evaluation (AWE) provides automatic writing feedback and scoring to support student writing and revising. The purpose of the present study was to analyze a statewide implementation of an AWE software (n = 114,582) in grades 4-11. The goals of the study were to evaluate: (1) to what extent AWE features were used; (2) if equity and…

The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

Higher education institutions have switched from the traditional paper-based assessment to online assessment in the last decade, and it is worthwhile to examine how the users have perceived such a change. While many technology acceptance studies focused on students as participants, this study examines the lecturers' perception of online…

The COVID-19 pandemic led to rapid innovation among language assessment developers who had to adapt their testing processes to address various restrictions from governments and institutions. This overview introduces some of the challenges and opportunities test developers grappled with during this period as well as introduces the six commentaries…

Background: The assessment of cross-curricular skills is gaining attention in many countries. In Japan, the 'Information Literacy Survey for Upper Secondary Students' (the ILSUS) was designed to measure information literacy through Computer-Based Testing (CBT). It was the first large-scale survey based on Item Response Theory (IRT) implemented by…