This study evaluated the components of the theory of planned behavior as related to teachers' intentions to use data-informed decision-making (DIDM) when evaluating both student progress and their own instructional practices. Analysis was also conducted to determine if there is any difference in data use between special education/intervention…

This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how…

Short message service (SMS or text messaging) surveys can collect data quickly and inexpensively. However, SMS surveys have space constraints that pose difficulties to questionnaire designers: Questions can only be 160 characters or less, surveys must be short, and many respondents use phones with small screens. In this article, we compare SMS and…

The present study examines bias in parameter estimates and standard error in cross-classified random effect modeling (CCREM) caused by omitting the random interaction effects of the cross-classified factors, focusing on the effect of a sample size within cells and ratio of a small cell. A Monte Carlo simulation study was conducted to compare the…

Purpose: The purpose of this paper is to present the METAL project, a French open learning analytics (LA) project for secondary school, that aims at improving the quality of teaching. The originality of METAL is that it relies on research through exploratory activities and focuses on all the aspects of a learning analytics environment.…

Cloud computing offers developers of learning environments access to unprecedented amounts of learner data. This makes possible "data-driven development" (D[superscript 3]) of learning environments. In the D[superscript 3] approach the learning environment is a data collection tool as well a learning tool. It continually collects data…

Mechanisms causing item nonresponses in large-scale assessments are often said to be nonignorable. Parameter estimates can be biased if nonignorable missing data mechanisms are not adequately modeled. In trend analyses, it is plausible for the missing data mechanism and the percentage of missing values to change over time. In this article, we…

Research focusing on school climate has shown that healthy, safe, and positive school environments are associated with improved psychological, social, behavioral, and academic outcomes for secondary students. For this reason, it is important for schools to understand how to improve perceptions of school climate through effective, evidence-based…

With national graduation rates that range from 32% among open enrollment institutions to 66% among private not-for-profits, higher education institutions have a moral imperative to improve the success of their students. Interventions to support today's students must consider the student holistically, be just-in-time, and come from a…

The South African Curriculum and Assessment Policy Statement for Technology stipulates that Technology should provide learners with the opportunity to solve authentic problems that are embedded in real-life experiences. Solving these authentic technological problems requires learners to use critical thinking skills and teachers are expected to…

Data reproducibility is becoming increasingly important in the social sciences, but it has yet to be incorporated into many undergraduate sociology programs. This note describes a service-learning activity that can be added to an introductory statistics course. Students partner with a nonprofit and analyze quantitative data to answer questions…

Vocational education aims at preparing students for their future as professionals; thus, students are often required to undergo a form of on-the-job learning. Assessment of professional performance during on-the-job learning is not based on single observations, but on prolonged participation at the workplace culminating in judgement by a workplace…

This paper takes a look backward while simultaneously looking to the future for MIS departments that are making the transition to Analytics departments. MIS has a long past of providing a base of skills supporting organizations. We examine this history as well as how the blending of MIS with business translator and modeling skills has led to the…

The purpose of this study was to explore the factors that might affect learning performance and collaborative problem solving (CPS) awareness in science, technology, engineering, and mathematics (STEM) education. We collected and analyzed data on important factors in STEM education, including learning strategy and learning behaviors, and examined…

This article draws on Foucault's work on subjectivity (Foucault, 2000), which has been furthered by Keddie and Niesche's (2017) interpretation of Foucault's work on ethics to explore English leaders' work in two government high schools in Victoria, Australia. A review of the educational literature shows that Foucauldian research in the UK…