Government regulations require businesses to improve their processes and products/services in a green and sustainable manner. For being environmentally friendly, businesses should invest more on eco-innovation practices. Firms eco-innovate to promote eco-efficiency and sustainability. This paper evaluates the eco-innovation performance of…

This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…

With the growing popularity of MOOCs and sharp trend of digitalizing education, there is a huge amount of free digital educational material on the web along with the activity logs of large number of participating students. However, this data is largely unstructured and there is hardly any information about the relationship between material from…

There are two essential goals of this research. The first goal is to design and construct a computational environment that is used for studying large and complex datasets in the cybersecurity domain. The second goal is to analyse the Spamhaus blacklist query dataset which includes uncovering the properties of blacklisted hosts and understanding…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

Researchers are frequently confronted with unanswered questions or items on their questionnaires and tests, due to factors such as item difficulty, lack of testing time, or participant distraction. This paper first presents results from a poll confirming previous claims (Rietveld & van Hout, 2006; Schafer & Graham, 2002) that data…

Who uses student data? is an infographic created by the Data Quality Campaign. (Used with permission) It answers important privacy-related questions about who collects, uses, and distributes student data. Most personal student information stays local. Districts, states, and the federal government all collect data about students for important…

The Australian Institute of Health and Welfare developed a national data standards strategy and implementation plan to enhance the comparability, quality and coherence of information across the Australian education and training sectors, including early childhood education, school education, vocational education and training (VET) and higher…

Interactive problem solving environments, such as intelligent tutoring systems and educational video games, produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled the student-tutor interactions using complex network…

Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…

Action research is a systematic approach to investigation that enables people to find effective solutions to problems they confront in their everyday lives. A significant feature is that action research lays claim to the professional development in education. Action research as any systematic inquiry conducted by teachers, administrators, and…

This article shares what "Educational Leadership" authors have to say about doing data right, which is the theme of this issue. The following questions are addressed in this article: (1) Are you using data to guide improvement?; (2) Are you looking at the right kinds of data?; (3) Are you using data to motivate students?; and (4) Are you…

Fall 2020 presented myriad challenges for teachers trying to plan curricula to meet students' social-emotional and learning needs following an unprecedented spring and summer of isolation and loss due to the pandemic caused by SARS-CoV-2 (Rivera and Wallace 2020). The result of creative planning and adjusting of curricula for remote instruction…

This study explores the ways in which local students experience housing instability--and how cross-sector strategies can better identify and serve these students. The report accompanying this brief considers a rich set of school administrative data, collected over the course of three school years prior to the COVID-19 pandemic: 2016-17 through…