Better data is needed on disability in Global Partnership for Education (GPE) partner countries to understand the extent to which children with disabilities are excluded from education, so that countries can make evidence-based and inclusive education policy and plans, and progress can be monitored globally. As part of its work helping to build…

Economic downturns, like a global pandemic, magnify the need for timely, accurate, and complete data that policymakers need to make data-informed decisions that will help workers, businesses, and their communities recover. Good data helps to better understand what's working and what's not in terms of creating greater access to workforce…

Data visualization literacy can be defined as "the ability and skill to read and interpret visually represented data in and to extract information from data visualizations" (Lee, et al., 2017, p.552). Within the information science profession, data visualization literacy is an emerging and increasingly important competency within the…

This qualitative case study was conducted to understand the experiences of Ten faculty participants at a private, not for profit, 4-year degree granting, high research institution located in the Northeast, who needed to change from in person instruction to remote teaching due to COVID-19 during Spring 2020, as they prepared to protect student…

With the 'data deluge' leading to an institutionalized research environment for data management, U.S. academic faculty have increasingly faced pressure to deposit research data into open online data repositories, which, in turn, is engendering a new set of practices to adapt formal mandates to local circumstances. When these practices involve…

This work studied an institution's experiences with acceleration and placement reform in English coursework as changes in these measures affected student persistence, completion, and subject mastery in English composition. Through assessing student learning outcomes after placement reform and acceleration, this study compared students' success…

Recently there is an increasing need for experiments that can be conducted remotely. In this sense, this paper presents three experiments about materials science and an X-ray diffraction (XRD) technique that can be taught and performed entirely remotely. The first experiment is about the calculation of lattice parameters, atomic radii, and…

This case study focuses on issues and dilemmas I faced when collecting data on a social networking site that enabled sociability, communication, and collaboration among teachers. To understand teacher online participation, I used an eclectic mixed-methods design with three phases to collect qualitative and quantitative data. This design allowed me…

This national snapshot presents findings on the current use of evidence by teachers and leaders in Australian schools. The authors examine attitudes towards and use of various types of evidence, and challenges and enablers in using evidence. In examining the use of evidence, they distinguish between: (1) research evidence: academic research, such…

This paper reports on usage and impact on learning achievements of a dashboard developed to help monitor self-regulated learning behaviours in an online professional development path. The design of the path as well as of the dashboard were grounded on a pre-existing conceptual framework distinguishing between four different types of self-regulated…

Writing fieldnotes is an important part of ethnographic research. However, there is a striking lack of discussions about how different ways of producing fieldnotes may influence ethnographic research and meaning-making. The use of "shorthand notation" is sometimes mentioned as a tool to increase the speed and efficiency of note-taking,…

Response process validity evidence provides a window into a respondent's cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…

The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…