Increasingly, data collection and analysis are core functions of higher education institutions. However, an EDUCAUSE QuickPoll revealed that just one in four (25%) of respondents believed the structure of data functions at their institution was ideal for their analytics needs, and only 16% of respondents indicated that their institutional data…

As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…

Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…

English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…

While public consultation is a signature process of democratic policy formulation, many governments manoeuvre to refract citizen's opinions or conduct it perfunctorily. Using the case of a medium of instruction policy in Hong Kong, this article unveils the strategies that the state and citizens employ to put their opinion through to the final…

Although some critics consider it time-consuming and demanding, proponents of the monolingual approach for field research (i.e., learning to speak a target field language as part of the research process) argue that it can provide a unique insight into its structures. However, this claim remains largely unsubstantiated in the available literature…

This research aimed to determine the trends related to blended learning studies conducted in science education through descriptive content analysis. This study was performed using the document review method. For this purpose, 120 studies on blended learning in science education were determined between 2005 and 2022 in the Web of Science (WoS)…

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…

Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…

A problem exists in NC Montessori schools with effective data analysis for specific learning disabilities (SLD) placement. The purpose of this study was to identify administrators' and teachers' perceptions of data collection and analysis within multitiered systems of support (MTSS) in a Montessori school. Fixsen's implementation science theory…

Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…

Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…

The application of big data in education sparks debates on its effects. Researchers explore its impact on learning outcomes, with divergent views on neural networks' potential and negative consequences. This study assesses big data's influence on basic literacy skills in music education for 5th graders. Using clustering and k-density analyses,…

Outcomes-Based Contracting (OBC) ties vendor payments to performance metrics, aiming to enhance accountability in public education. This study examines its implementation in tutoring services through the Southern Education Foundation pilot program. Interviews with district leaders and vendors reveal that OBC fosters collaboration, improves service…

The study addresses the challenges Addis Ababa University faculty encounters in fulfilling their community service mission. A qualitative research method with a case study design was used. Data were collected through individual interviews with vice deans, department heads, community service professionals, and academic staff. Further review of…