Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…

Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…

The United States is plagued by large disparities in life outcomes between racial and ethnic groups. Researchers have documented how gaps in outcomes are related to gaps in access to opportunity, both in education and otherwise. Yet, as documented in this report, too often state policymakers still fail to provide equitable learning opportunities…

This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. It addresses one central question: How can schools intervene to reduce learning gaps between students with disabilities and…

The real data on students' postsecondary outcomes are affordable, accessible, and unfortunately underutilized. If harnessed for advising high school students before graduation, these data could significantly change the approach to preparing students for college and career success across the country. How can we get more leaders and stakeholders to…

Privacy and surveillance are pervasive words not only in higher education but also in many areas in our life. We use and hear them often while shopping online, reading the news, or checking the policies and terms of websites. In this study, I highlight the challenges of data collection and surveillance in education, specifically, in online…

This article encourages approaches that develop children's understandings of data representations. In particular, when children develope flexibility in their approaches to data representation and understanding, the same data can be represented in different ways. Flexible and adaptive use of representations is part of mathematics competence which…

Fitness trackers can provide primary students with exciting opportunities to calculate, measure time and distance, graph, make sense of data, and improve their activity levels. This article suggests ways to use fitness trackers in the classroom.

This study integrated the multimodal framework of learning analytics (IMFLA) with the concept mapping (Cmap) approach to improve students' vocabulary and reading abilities. A total of 70 participants were divided into 2 classes, Class 1 (experimental) and Class 2 (control), for a 1-year period. Vocabulary and reading tests were implemented 3…

User experience is immeasurably important for your patrons as they access your Web site. This article presents tips and strategies for testing user experience, suggests a number of different popular technologies and tools that are used in the UX field, and lays out a plan for sharing and utilizing data to make improvements on your Web site. It is…

Schools are at the forefront of the institutions that need to be in close relations with the social environment. In this regard, practices of the public relations are prominent. This obligation is also responsibility of the school principals, as there are no public relations units in public schools. The purpose of this research is to reveal the…

Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

Collecting data among participants belonging to a group, community or organization is a crucial step in social research. However, generally speaking, in the social sciences, the issue of access to the research field has not been widely or systematically studied and remains under-theorized. The goal of this study is to draw the participants'…

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…