Learning analytics (LA) are a young but fast-growing field, which, according to some authors, holds big promises for education. Some claim that LA solutions can help measure and support constructivist classrooms and 21st century skills, thus creating a potential of making an alignment between LA and PBL principles and practices. Despite this…

Large-scale, robust implementation of teacher data-driven decision making (DDDM) is a challenging endeavor, impeded by numerous organizational, and teacher, factors. One well-documented barrier to teacher DDDM is underdevelopment of teacher data literacy. This study examines common errors made by pre-service elementary teachers in the formulation…

The Fatih Project in Turkey has improved software in mathematics teaching such as data analysis software. As a result, the need to inquire into the efficiency of computer-supported learning environments has emerged. This study aims to examine the effect of dynamic data analysis software-supported learning environments on secondary school students'…

Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…

Background: Poor mental health outcomes persist among adolescent youth. Secondary schools play a critical role in fostering positive mental health by implementing policies and practices grounded in evidence. The factors associated with implementation, however, are unclear. This study examines which school- and state-level factors are associated…

This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.

The challenges of conducting lengthy fieldwork in today's busy academic world have impacted the types of research that are able to be carried out. In particular, traditional educational ethnography has become problematic for research beyond initial doctoral research programs. This article analyzes data collected during a return to the field of a…

Tzur and Simon (2004) postulated 2 stages of development in learning a mathematical concept: participatory and anticipatory. The authors discuss the affordances for research of this stage distinction related to data analysis, task design, and assessment as demonstrated in a 2-year teaching experiment.

This article presents findings on the consequences of matrix sampling of context questionnaires for the generation of plausible values in large-scale assessments. Three studies are conducted. Study 1 uses data from PISA 2012 to examine several different forms of missing data imputation within the chained equations framework: predictive mean…

Digital technologies in combination with "big" data and predictive analytics are having a significant impact upon professional practices at individual, organisational, national and international levels. The interplay of code, algorithms and big data are increasingly pervasive in the governing, leadership and practices of different…

Although many schools around the world have claimed to embrace the Professional Learning Community process, it would be more accurate to describe the current state of affairs in many schools as PLC Lite. Educators rename their traditional faculty or department meetings as PLC meetings, engage in book studies that result in no action, or devote…

Two white researchers critique the professional veil of silence they created as they reflected on a qualitative study they performed 12 years earlier. Autoethnography and performance ethnography are utilized to examine the ways in which whiteness can remain unexamined throughout the research process due to the construction of white positional…

Insensitive research approaches have resulted in damaged relationships between non-Indigenous researchers and Indigenous communities, prompting scholars and funding agencies to call for more culturally compatible research methods. This paper addresses the qualities, skills and knowledge developed by six non-Indigenous researchers as they…

This paper presents best practices for conducting survey research using Amazon Mechanical Turk (MTurk). Readers will learn the benefits, limitations, and trade-offs of using MTurk as compared to other recruitment services, including SurveyMonkey and Qualtrics. A synthesis of survey design guidelines along with a sample survey are presented to help…

This is a real-world applicable case-study and includes background information, functional organization requirements, and real data. Business analytics has been defined as the technologies, skills, and practices needed to iteratively investigate historical performance to gain insight or spot trends. You are asked to utilize/apply critical thinking…