A source of contestation in higher education curricula is the multiplicity of demands they serve and purposes they seek to fulfil. In this paper, we see this contestation as actively shaping assessment theory and practice, resulting in paradoxes of valorisation and vilification of everyday assessment practices. We address the plethora of…

False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…

This article presents an innovative and generalized CIPP evaluation model for breakdance courses based on Hiphop pedagogy, designed to help educators evaluate the design, implementation, and effectiveness of breakdance courses. Despite global interest in breakdance evaluation, few studies have focused on developing a comprehensive evaluation…

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…

Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…

The performance evaluation of e-learning in medical education has been the subject of much research lately. Researchers are yet to achieve a consensus on the definition of performance or the suitable constructs, metrics, models, and methods to help understand student performance. Through a systematic review, this study put forward a working…

In response to the shifting educational landscape and the growing emphasis on responsibility and quality, quality assurance systems in higher education have experienced significant modification throughout time. These systems are essential for assuring the delivery of high-quality educational programmes and preserving the standing and reputation of…

Purpose: Although active learning methodologies are recognized as an effective means to achieve expected educational demands, in practice, the teaching and learning processes are still widely characterized by traditional pedagogy aspects. As a result, teaching innovations in science, technology, engineering and math (STEM) education are carried…

State and federal governments invest millions of dollars in providing accurate and relevant information on expected outcomes to students pursuing higher education, but whether such information targets what students value about college is unclear. We use new survey data to identify the extent to which conventional indicators for college quality and…

In the current higher education landscape, universities are facing expanding requirements beyond teaching and research. Evaluation methods must evolve accordingly to prevent universities from facing development dilemmas. Current mainstream evaluation methods primarily emphasize the research domain, often failing to holistically capture a…

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…

This paper reports on the results of a research-practice partnership that included a U.S. university research team and a state-funded grants program that supports informal science education. The goal of the 2-year partnership was to develop an empirically-tested model for collaboration and capacity-building (CCB) in support of collective…