Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI…

In this opinion piece, we explore the idea that GenAI has the potential to fundamentally disrupt computer science education (CSE) by drawing insights from 10 pedagogical and cognitive theories and models. We highlight how GenAI improves CSE by making educational practices more effective and requires less effort and time, and all at a lower cost,…

The capabilities expected to be attained by learners, after learning a course or programme, are called course outcomes (CO) and programme outcomes (PO), respectively. The objectives of outcome-based education (OBE) are to ensure realization of grooming graduates with all the theoretical, practical and soft skills required to make them competent…

Artificial intelligence is profoundly transforming the world in various spheres and already finding its way into educational institutions. This essay aims to examine whether the Deweyan ideal of education can be achieved through such digital means. By analyzing how both the aims and means of education, as defined by Dewey, can be understood in the…

Measuring educational opportunity is a topic of interest to policymakers and education stakeholders alike. Standardized assessments of student achievement are commonly used to measure educational opportunity in North Carolina and across the nation. This research brief examines two measures of educational opportunity in North Carolina public school…

In educational assessment, low engagement is problematic when tests are low stakes for students but have significant consequences for teachers or schools. In the current study, we sought to establish the electroencephalographic (EEG) correlates of engagement and to distinguish engagement from mental effort. Forty university students participated…

Over the past ten years, we have worked in a collaboration between educators and computer scientists at the University of Illinois to imagine futures for education in the context of what is loosely called "artificial intelligence." Unhappy with the first generation of digital learning environments, our agenda has been to design…

Purpose: The most important problem for higher education in the post-COVID period is the production of highly qualified specialists for the labor market. The purpose of this study is to determine effective criteria for assessing the quality of training of future specialists and the adequacy of their readiness to solve real problems of the future…

There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…

The European Commission emphasises the need for educational institutions to integrate digital technologies in their teaching, learning and organisational practices. This study contributes to the field of digital transformation of schools by proposing and validating a Framework for Digitally Mature Schools (FDMS) and an instrument for assessing the…

In response to Bae's (2018) "Redesigning systems of school accountability: A multiple measures approach to accountability and support," this commentary expands on some key considerations for states and school districts as they seek different ways to support school improvement while also addressing the competing demands of educators,…

This chapter will identify and outline current gaps in research into assessment practice and tie the results of the ASSIST-ME project onto this outline. In this way, the chapter will present concrete research vistas that are still needed in international assessment research. The chapter concludes with a key theme that appears across many of the…

The study aims to explore the practice of continuous assessment (CA) and associated challenges of implementation in higher education institutions located in Amhara National Regional State, Ethiopia. Drawing on assessment for learning and institutional theory, the qualitative multi-case design includes informants from three public universities.…

The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…

Education for sustainability demands transformative knowledge, which can be obtained through problem-based, project-organized learning (PBL). However, the integration of PBL and sustainability in higher education has not yet met the needs required due to the lack of application of a systemic perspective and strategy. In this literature review, we…