The first-year undergraduate laboratory course in chemistry at the University of Bristol has been changed in an attempt to have students focus on learning practical skills, rather than on their experimental results. Analysis revealed a misalignment between the stated aims of the course--developing basic practical skills and developing laboratory…

IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…

Purpose: The study examined age-related differences in the use of semantic context and in the effect of semantic competition in spoken sentence processing. We used offline (response latency) and online (eye gaze) measures, using the "visual world" eye-tracking paradigm. Method: Thirty younger and 30 older adults heard sentences related…

This first analysis of aggregated data from the Kahoot! game-based player response system demonstrates that it can provide assessments of overall US student polar knowledge and identifies differences in polar knowledge across several states. A kahoot online quiz on polar topics recorded over 25,000 United States teacher-hosted classroom players…

The COVID-19 Movement Control Order imposed by the government converted the delivery of lessons to online learning in the education sector. Pharmaceutical chemistry is a core subject for pharmacy students and first-year students were taught the elucidation of the absolute configuration of active pharmaceutical ingredients (API). The objective of…

COVID-19 has affected university students' learning experiences on a great scale. The aim of this study was to understand the enablers and barriers to the effectiveness of online learning in a university course during the COVID-19 pandemic, using a qualitative case study approach. Participants were 44 first-year university students enrolled in a…

The purpose of this study is to describe how university students rate the evaluation systems and strategies that have been proposed for use in Higher Education during the period of COVID-19 confinement and online teaching as a result of the coronavirus crisis in Spain. For this purpose, we prepared a descriptive study by means of an online…

Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…

Organizing exams or competitions with multiple choice questions and assessment by technology today is something that happens in many educational institutions around the world. These kinds of exams or tests as a rule are done by answering questions in a so-called answer sheet form. In this form, each student or participant in the exam is obliged to…

New statistical methods are being added to the literature as a result of scientific developments each and every day. This study aims at investigating one of these, Maximum Likelihood Score Estimation with Fences (MLEF) method, in ca-MST. The results obtained from this study will contribute to both national and international literature since there…

Language test developers have a responsibility to ensure that their tests are accessible to test takers of various backgrounds and characteristics and also that they have the opportunity to perform to the best of their ability. This principle is widely recognised by educational and language testing associations in guidelines for the production and…

Nowadays the size of university classes along with the growing number of students to be tested for final examination raise unprecedented challenges relating to the management, monitoring and evaluation of learning. Technology may provide some solutions that deserve to be investigated. This paper explores the potentialities and limitations of…

Research on automated affect detection in educational software using play log data has shown promising results. Yet most studies use classroom-based software designed for adolescents or adults. In this paper, we aim to detect affection in an online educational platform primarily aimed at home use by young children. This presents two challenges: we…

Teachers' numeracy capability is essential for student learning in the classroom and important across all subject areas, not only within mathematics. This study investigated the use of online diagnostic tests as a form of assessment for learning, to evaluate and support teacher education students (TES) in developing their numeracy skills. Data…

The present study aimed to cover a holistic viewpoint toward assessment and its features. It discussed the problems in this area during the dominance of COVID-19. This study sought to present some notes on the current online assessment strategies used by the institutions. It measured the effects of the implemented techniques on the nature and…