Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…

There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…

All people deserve the opportunity to earn a better living and build a better life for themselves, their families, and their communities through a postsecondary education. But that opportunity is not available equally to all in the United States, and current postsecondary data sets and collection practices at the federal, state, and institutional…

The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

This study develops an SDG-aligned social impact assessment (SIA) system for five Chulalongkorn University research projects, in Thailand. Employing mixed methods in an exploratory sequential design, the first phase involves qualitative data collection, including focus groups and field studies, to establish the SIA system. The second phase employs…

The results of total testing from the years 2015-2022 on the mathematical and verbal achievement of Lithuanian pupils (N [approximately equal to] 250,000) are presented. These are the standardised tests from grades 4 to 12. The K-Means method has discovered six types of achievement. The highest achievement type is dominated by girls (61.1%) who…

In web surveys, no interviewer is present to clarify question comprehension problems, which can be particularly prevalent among respondents with low literacy skills. Although plain language is used in various contexts to improve text comprehensibility, its use in social science questionnaires has not been investigated to date. Using a…

The use of artificial intelligence (AI) in higher education has mostly focused on issues associated with teaching and assessment. In this paper I used AI to support the analysis of data which consisted of public comments on a newspaper article. This small, low risk research was chosen to demonstrate the potential use of AI and how it may support…

Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…

Without regulations for higher education institutions in the metaverse, ethical transgressions are unavoidable. Educational metaverse systems, which integrate artificial intelligence, essentially depend on big data as their core technology, leading to considerable privacy issues. Therefore, this study examines data privacy and security issues, a…

The federal trust responsibility is a legal obligation, rooted in legal and political precedent, in which the U.S. government commits to protect tribal sovereignty, resources, and welfare. For Indigenous communities, there is a long history of broken promises between the U.S. and tribal governments through discriminatory policies and a lack of…

The Monitoring the Future (MTF) study monitors historical and developmental changes in substance use prevalence among key subgroups of the general U.S. adolescent and adult population. The current study first devised and evaluated a cohort-specific pooled analysis weighing procedure for the MTF panel study that weighted back to the initial 12th…

Approaches to discourse analysis in educational research tend to operate within the boundaries of particular video-based research traditions. We examine four of these traditions that are especially relevant to the learning sciences--conversation analysis, discursive psychology, interaction analysis, and video-cued ethnography--and instead of…