Anonymous assessment, introduced to higher education over the last twenty-five years to reduce attainment gaps, is a now common place. This paper suggests some ways in which anonymous assessment could be reconceptualised. We argue that there is scant empirical evidence of anonymity having worked in reducing attainment gaps in higher education. It…

Evaluation in Design education is subjective and generally depends upon the pedagogues' personal perspective. Conducting subjective evaluation on a large scale is associated with multiple challenges; therefore, digitized evaluation is integral to maintain consistency in the evaluation process. This systematic literature review utilized SCOPUS, Web…

Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The…

Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…

Extended reality (XR) -- encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR) -- emerges as a potential transformative tool in educational realms. This article explores the potential of XR in facilitating mathematics assessments; it proposes a list of mathematical topics that could be effectively mediated by XR's…

Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…

Introduction: Artificial intelligence (AI) presents challenges and opportunities for higher education. The challenge is to incorporate the benefits of AI while minimizing its potential for misuse and undermining of learning. The opportunity is that AI allows instructors to assess learning authentically by fostering creative, engaging, realistic,…

Generative artificial intelligence (generative AI) applications such as ChatGPT and its brethren erupted onto the scene last year and have been quite a disruptor throughout higher education. Like much new technology, generative AI brings with it benefits and challenges. This note focuses on early experiences with ChatGPT, attempts to learn how to…

This paper surveys research and practice on enhancing peer assessment with artificial intelligence. Its objectives are to give the structure of the theoretical framework underpinning the study, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which further illustrates this structure. The…

The post-pandemic expectations of today's students require greater innovation in teaching and learning. Rapidly changing technologies and software applications will drastically change how higher education is structured and disseminated. In this article, the authors examine the use of micro-credentialing, the potential and challenges of Artificial…

This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…

Creative assessments hold the potential to counter outcome-oriented and utilitarian approaches to teaching, characteristic of neoliberal academia. This paper explores the potentialities of digital stories as one form of creative assessment that may help rupture normative ways of teaching-learning and engaging with affective pedagogies. The authors…

Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…

Despite extensive research on the concerns with the use of ChatGPT that evolve around cheating, academic integrity, and plagiarism, very little is known on the assessment practices in school history, obscuring our understanding on how history teachers can assess students amid ChatGPT driven challenges. This conceptual paper discusses the…

Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…