In recent years, the rapid development of artificial intelligence has enabled the launch of many new screening tools. This review aims to facilitate screening tool selection through a systematic narrative review and feature analysis. The current adoption rate of transparent tool reporting is low: by screening 191 studies published in the…

The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…

Software is usually considered enabler for innovation in education. Thus, it is necessary to investigate: What leads to innovation in education and which, therefore, should be considered in the development of educational software? How to support decision-making for choosing software to be used in teaching and learning? How to evaluate software…

This Praxis develops a machine learning (ML) model to address ransomware threats in higher education institutions (HEIs). HEIs are vulnerable to cyberattacks due to their open-access environments, diverse user bases, and decentralized IT systems. These vulnerabilities are compounded by limited budgets, heightened risks from increased digital…

This multi-phase dissertation explores how student placement management software can be evaluated, selected, adopted, and diffused within a university setting, considering multiple stakeholders with varying needs and differing levels of decision-making authority. Utilizing a case study design and Roger's Diffusion of Innovation framework (2003),…

Research students in social science disciplines frequently struggle to master statistical analysis. A contributing factor may be the statistical software that is used, as the design of such software may not address the needs of non-statisticians or non-computer programming students. Hence, decisions about which statistical software tools are most…

The purpose of this research is to create a personalized system called CARIA that suggests career recommendations based on students' competencies and the required skills in each career. The focus of this study is on digital technology and digital media careers. The personalized career recommender system uses a novel similarity measure called…

E-learning is one of the fastest growing areas of the high technology development, especially in the academic environments. However, the instructor is a very important factor in the learning process, but the advantages of e-learning change the role which the instructor plays in this process. E-learning gives an opportunity to anyone to learn in a…

With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting…

Secondary teachers use digital resources for teaching, yet little is known about how they find, evaluate, organize, and share these resources. This basic qualitative study was conducted to fill the gap and examine the experiences and practices of secondary educators in curating digital resources. Findings on how teachers manage digital…