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,…

This paper discusses the use of specification grading in sport management courses. The process organizes assignments around grading bundles and evaluates students as either Satisfactory or Unsatisfactory in meeting each assignment. A token system is created to provide flexibility to the students. There are advantages to using specification…

Assessment is usually considered as an afterthought in the instructional design process. Given the many challenges of assessment design--and the lack of ready solutions--teachers may fall back on familiar forms of assessments and hope for the best. As a result, the problem is not a lack of will on the part of teachers. Instead, it is the lack of…

This chapter describes assessment strategies as applied through a course redesign in an undergraduate Social Problems course that features local, national, and international topics. The alignment between the assessment strategies used in this course and the pedagogical improvements implemented is intentionally directed at the development of…

This chapter outlines the ASSESSnet project [ASSESSnet: Language assessment in Virtual Mobility (VM) initiatives at tertiary level -- teachers' beliefs, practices and perceptions; grant number 845783; https://www.assessnet.site/home]. First, its underlying mission is explained in this introduction, before a detailed description of the compilation…

This article provides an overview of the unique model and comprehensive approach to tracking, enhancing, and assessing students' global learning outcomes at the University of Pittsburgh's University Center for International Studies (UCIS). In the conclusion, the authors provide a discussion of strengths and challenges of this model that will be…

Over the past decade, researchers have developed several teaching observation protocols for use in higher education, such as the Teaching Dimensions Observation Protocol (TDOP), Classroom Observation Protocol for Undergraduate STEM (COPUS), Practical Observation Rubric to Assess Active Learning (PORTAAL), and Decibel Analysis for Research in…

Issues of sustainability, plus how to both prepare students and lead organizations in working for sustainability, often remain a curricular afterthought for higher education administration. While recent research on sustainability education has advocated for embedding sustainability in all coursework across curricula, Higher Education and Student…

Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…

General chemistry courses serve as foundational curriculum within most STEM undergraduate curricula, and hence, it is essential to assess student knowledge and application of learning outcomes for courses such as Introduction to Chemistry and Organic Chemistry. Within the United States, paper-and-pencil examinations are typical for measuring…

In a rapidly changing world, education must evolve to prepare students not just for existing careers but also for those yet to be imagined. Daydream Believers, an innovative education organization, is embracing this challenge head-on by harnessing the power of technology to assess and enhance creative thinking among students. Daydream Believers, a…

This report and the accompanying online repository (https://sfdora.org/dora-case-studies/) bring together and analyse case studies in responsible academic career assessment. The case studies are intended to serve as inspiration for institutions planning to become or already engaged in a complex review process, and to provide potential pathways of…

In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been…

This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…

This article presents a structured blueprint for school psychologists to assess and intervene in cases of automatically maintained self-injurious behavior (SIB) while adhering to the Least Restrictive Environment (LRE) mandate. We outline a six-step process for conducting Functional Behavior Assessments (FBAs) of automatically maintained SIB,…