Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…

CIPP, which stands for Context, Input, Process and Product, an evaluation model, is one of the most widely applied curriculum evaluation models in education. This document-based study sought to determine the historical development of CIPP as a curriculum evaluation model. Here, the reasons why the CIPP evaluation model was conceptualised are…

With some of the propositions from the literature on 'policy enactments' as a backdrop, this paper addresses the circulation of a research policy innovation and its effects on the knowledge territory of an unlikely profession. Specifically, I show how the Research Excellence Frameworks' impact policy in the UK was an object first managed by…

Back random responding (BRR) behavior is one of the commonly observed careless response behaviors. Accurately detecting BRR behavior can improve test validities. Yu and Cheng (2019) showed that the change point analysis (CPA) procedure based on weighted residual (CPA-WR) performed well in detecting BRR. Compared with the CPA procedure, the…

While the COVID-19 pandemic significantly impacted the higher education sector, it also provided opportunities for accounting academics to rethink their assessment strategy. This paper adds to the limited literature which has reported on how accounting academics responded to such an opportunity. Drawing on Freire's dialogical education theory as…

The rapid evolution of digital technologies and computer sciences is ushering society into a technologically driven future where machines continually advance to meet human needs and enhance their own intelligence. Among these groundbreaking innovations, Artificial Intelligence (AI) is a cornerstone technology with far-reaching implications. This…

In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when…

Evaluations are considered of key importance for a well-functioning democracy. Against this background, it is vital to assess whether and how evaluation models approach the role of citizens. This paper is the first in presenting a review of citizen involvement in the main evaluation models which are commonly distinguished in the field. We present…

Adult learning policies need to be based on an understanding of the inequalities in the uptake and benefits of learning and why adults might not participate. This needs to go beyond a mere insight in barriers that, once removed, do no longer provide a reason for adults not to participate. This article aims to delph deeper in understanding what…

In this article, we develop and evaluate a novel system and computing platform to structure, measure, and improve student development using points. We define student development broadly as the achievement of learning to do, know, live together, and be. The system leverages individual agency, social influences, content generation and sharing,…

In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important data analysis methods in comparative research. According to the guidelines of this method, there are certain steps that a researcher needs to follow, before causally analyzing the data for necessary and sufficient conditions. One of these steps is…

Assessments that are open-ended and student-centered may be used to encourage formation of networks between prerequisite material and new course content thereby promoting meaningful learning. Creative Exercises (CEs) are assessments that allow multiple correct answers and do not penalize for incorrect statements thereby inspiring creativity. CEs…

Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' performances can be predicted. In this study, a novel Hybrid…

Purpose: The purpose of this manuscript is twofold. First, this manuscript explores how dialogic evaluation (DE), as a participatory evaluation tool, develops inter-organizational learning (IOL). Second, based on empirical analysis, the work provides pragmatic insights to support practitioners in implementing a facilitative framework grounded in…

A central question in educational research is how classroom climate variables, such as teaching quality, goal structures, or interpersonal teacher behavior, are related to critical student outcomes, such as students' achievement and motivation. Student ratings are frequently used to measure classroom climate. When using student ratings to assess…