Dominant approaches to assessment have often limited students' ability to share their perspectives on course experiences. Further, assessment approaches are often disconnected from pedagogical practice and reinforce the status quo. In this article, we outline our critical-interpretive approach to a four-year cycle of assessments examining…

Traditional authentic assessment tasks are frequently tied to future work and enmeshed in neoliberal and capitalist visions of education. We advocate an alternative approach where authenticity signifies meaningful learning outside the confines of the classroom to promote deep learning that 'sticks'. We proffer an understanding of "assessment…

Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…

The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…

Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…

Given the proportion of young children experiencing disadvantages in achieving optimal health due to inequities related to race, place, and income, there is increasing attention to developing effective early childhood (EC) systems. As EC leaders embrace methods such as collective impact in driving systems change, there is a growing recognition…

Anxiety is now recognized as one of the most common co-occurring conditions in youth diagnosed with autism spectrum disorder (ASD). Despite the prevalence of this comorbid condition, accurate assessment and diagnosis of anxiety in ASD has proven difficult. This paper will address the considerable research literature on assessing anxiety in youth…

Assessment of student learning is a necessary and important practice for which many institutions report faculty engagement and use of assessment data as challenges. With a number of individual and institutional barriers at play, motivation can be a relevant influence for which to examine engagement in assessment work and data-informed action for…

Utilizing an appreciative model of assessment can help foster a consistent and purposeful approach to assessment while creating a more holistic community of practice by using a collaborative and positive-focused framework. This article will delve into practical applications of how to incorporate appreciative assessment into Student Affairs.

Rudy Ruiz and Faith Connolly propose a new accountability measure that captures the percentage of students in a school that have a teacher of a similar ethno-racial background. The measure would hold school districts accountable for the percentage of students who have a teacher who looks like them. Adding this measure would bring attention to…

A revision-based assessment system, driven by clear rubrics, can mean less stress, more effective feedback, and greater student learning. English teacher Alexis Wiggins shares an effective and time-friendly revision-based assessment system she developed that allows students to focus on learning, not their grade.

Quizzes and tests don't count as feedback if educators and students can't act upon the information they provide. Two educators share simple tweaks to their quizzes and tests that helped them both get better feedback about their teaching and give better feedback to their students.

In this paper, we set out to explore the world's first major standardised examination system. In the field of language testing and assessment, works such as measured words (Spolsky, 1995), measured constructs (Weir, Vidakovic & Galaczi, 2013), and Cambridge English exams -- the first hundred years (Hawkey & Milanovic, 2013) all point to…

Many personal and policy decisions turn on perceptions of school effectiveness, defined here as the causal effect of attendance at a particular school or set of schools on student test scores and other outcomes. Widely-disseminated school ratings frameworks compare average student achievement across schools, but uncontrolled differences in means…

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…