This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…

This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…

In the traditional conception of working memory for word lists, phonological codes are used primarily, and semantic codes are often discarded or ignored. Yet, other evidence indicates an important role for semantic codes. We carried out a preplanned set of four experiments to determine whether phonological and semantic codes are used similarly or…

Scores from computer-based tests are increasingly used to inform a variety of school- and student-level decisions. An underlying assumption is that the associated scores represent effortful responding by each student with respect to the tasks presented. An innovative method for examining evidence for this assumption involves an examination of item…

Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…

The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…

In 2015, all Australian education ministers agreed that from 1 July 2016 the Government would initiate the Literacy and Numeracy Test for Initial Teacher Education (LANTITE), designed to verify that all prospective teachers could demonstrate the literacy and numeracy skills required in their profession. The LANTITE quickly became another hurdle…

In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…

The aims of the study were (1) to develop a domain-general computer-based assessment tool for inductive reasoning and to empirically test the theoretical models of Klauer and Christou and Papageorgiou; and (2) to develop an online game to foster inductive reasoning through mathematical content and to investigate its effectiveness. The sample was…

The COVID-19 pandemic has brought about a true challenge to students and educators in the teaching, learning and assessment (TLA) of the psychomotor domain integral in laboratory experiment and design work. The pandemic has opened venues for open distance learning (ODL) with a completely new outlook for educators. The objective of this paper is to…

In this study, we used the Rasch measurement to investigate the fairness of the listening section of a national computerized high-stakes English test for differential item functioning (DIF) across gender subgroups. The computerized test format inspired us to investigate whether the items measure listening comprehension differently for females and…

Breakthroughs in technology-based assessments recorded in the last decades have given impetus to the integration of technology in teaching practice supervision. This paper describes an electronic supervision (e-TP) model developed for the teaching practice component of the science teacher training program by one university in Zimbabwe. It further…

Language maintenance research generally argues that providing endangered varieties with a standard impacts positively their vitality by e.g. increasing positive attitudes. This paper investigates whether different degrees of linguistic proximity between vernacular varieties and the standard may lead to different speakers' attitudes towards the…

This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…

Prediction in language comprehension has become a key mechanism in recent psycholinguistic theory, with evidence from lexical prediction as a primary source. Less work has focused on whether comprehenders also make structural predictions above the lexical level. Previous research shows that processing is facilitated for syntactic structures which…