Constant changes to COVID-19 restrictions have required adaptability from social scientists including responding to new challenges such as infiltration by bots. This research note presents unexpected encounters of bot infiltration and recruitment during survey data collection under pandemic conditions. The note draws from a household survey on a…

Thinking about knowledge and knowing ("i.e.", epistemic cognition) is an important part of student learning and has implications for how they apply their knowledge in future courses, careers, and other aspects of their lives. Three classes of models have emerged from research on epistemic cognition: developmental models, dimensional…

Since its onset, scholars have characterized social media as a valuable source for data collection since it presents several benefits (e.g. exploring research questions with hard-to-reach populations). Nonetheless, methods of online data collection are riddled with ethical and methodological challenges that researchers must consider if they want…

While research into PhD programs and doctoral students' experiences has increased in recent years, fieldwork is overlooked as a source of learning and support. In education, the focus of this paper, fieldwork remains laced with notions of the anthropologist gathering data in a place that is not their own, which narrowly construct the role of the…

Why we need better reports of teacher professional development interventions for finding out what works where: Worldwide, billions of dollars are invested yearly in the professional development of in-service teachers ($14 billion in the USA alone, as of 2014; Bill & Melinda Gates Foundation, 2014). This makes the question of what effects TPD…

Existing research demonstrates that pre-decisional information sampling strategies are often stable within a given person while varying greatly across people. However, it remains largely unknown what drives these individual differences, that is, why in some circumstances we collect information more idiosyncratically. In this brief report, we…

Background: Billions of dollars are spent annually on grant-funded STEM (science, technology, engineering, and mathematics) education programs. These programs help students stay on track toward STEM careers when standard educational practices do not adequately prepare them for these careers. It is important to know that reliable and accurate…

Are social science, cross-border research projects, where recruitment and data collection are carried out remotely (e.g. through social media and online platforms), required to follow similar ethical and data-sharing procedures as 'on-the-ground' studies that use traditional means of recruitment and participant engagement? This article reflects on…

Consultee-Centered Consultation (CCC) is built upon the use of a constructivist, interactive approach to support conceptual change in consultees. Constructivism is foundational in ethnographic traditions as well and it focuses on understanding socially constructed meaning-making in cultural groups. Given the importance of constructivism in both…

In order to further understand the experiences of lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) youth, they must be identified in surveys and data at the federal, state, and local level. Being able to identify LGBTQ+ youth in data, particularly in surveys and research about school climate and negative school experiences, including…

Although the importance of listening to young children's voices is acknowledged in international literature, it is not clear whether educational researchers "really" listen to them and, if they do, what research designs and methods facilitate that. Therefore, using the EPPI-centre approach (2007), a systematic literature review was…

Intensive longitudinal data is increasingly used to study state-like processes such as changes in daily stress. Measures aimed at collecting such data require the same level of scrutiny regarding scale reliability as traditional questionnaires. The most prevalent methods used to assess reliability of intensive longitudinal measures are based on…

A technology-based problem-solving test can automatically capture all the actions of students when they complete tasks and save them as process data. Response sequences are the external manifestations of the latent intellectual activities of the students, and it contains rich information about students' abilities and different problem-solving…

Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…

Background: Online crowdsourcing platforms, such as Amazon Mechanical Turk (MTurk), have become popular alternatives to the ubiquitous student samples used in psychology research. r/SampleSize, an alternative pool on the website Reddit, allows for online participant recruitment without compulsory or immediate payment, making it potentially useful…