This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…

Educators must constantly figure out engaging ways to teach data management and modeling concepts, especially to non-technical audiences. This paper introduces and describes an experiential learning activity using playing cards to teach a range of business and technical concepts. The paper is enriched by personal anecdotes and experiences from…

Computer-based assessments allow practitioners to collect rich process data by logging students' interactions with assessment tasks. In addition to providing final responses to test questions, computer-based assessments promise to furnish more evidence to support claims about what a student knows and can do through logging process data in log…

Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…

The most effective state efforts to improve student outcomes do not exist in a silo; they cut across multiple policy priorities to make data work for students. And while their crosscutting data initiatives can still be strengthened, some states are supporting schools with efforts that reach across the Data Quality Campaign's (DQC) Four Policy…

The rise of accountability standards has pressed higher education organizations to oversee the production and publication of data on student outcomes more closely than in the past. However, the most common measure of student outcomes, average bachelor's degree completion rates, potentially provides little information about the direct impacts of…

K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…

Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…

Research skills are part of the academic activities of Higher Education teachers. Regardless of the knowledge area they teach, there is a need to observe, reflect, select, analyse and communicate scientific results using technological advances. The aim of this study is to analyse the use that teachers make of different ICT resources for research…

Courses: Science communication courses across course levels. Objective: This activity aims to introduce students to critical thinking concepts and strategies that have applicability and transferability throughout students' academic and professional careers while deepening their understanding of identifying, discussing, and analyzing scientific…

Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…

This article examines how written feedback is used to support the production of texts for purposes of reuse. The case study refers to an entrepreneur training program at the University of Texas at Austin. In the program, Korean startups are trained in understanding the US market, and developing pitches that convince US investors. They are…

In Latin American universities, Learning Analytics (LA) has been perceived as a promising opportunity to leverage data to meet the needs of a diverse student cohort. Although universities have been collecting educational data for years, the adoption of LA in this region is still limited due to the lack of expertise and policies for processing and…

This paper discusses Implementation of a new educational approach to develop competencies for the future STEM workforce, and to build knowledge on success factors for educating a non-traditional target population in data competencies. It is widely accepted that a data capable workforce is critical to science and industry. The literature suggests…

How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher…