Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…

Social media is a popular method for recruiting research participants and especially during the current pandemic. Researchers are increasingly using platforms like Facebook and Twitter to engage with participant groups, either to collect data directly (by posting links to online surveys) or to recruit participants for further research activity (to…

This case study aims to shed light on the methodological aspects of using a qualitative survey as the main data collection instrument to study prospective teachers' meaning-making process while learning about research methods and conducting their own projects. Particular attention is paid to the design and administration challenges of the…

Linking data together can be a powerful way for governments and researchers alike to tackle vexing public policy research problems. However, for researchers, finding ways to link data directly between two departments can often be more challenging than even obtaining the data in the first place. Even when a researcher develops the necessary…

Purpose: This study aims to delve into the evolution, trends and implications of scientific production related to service learning (SL) and community engagement for sustainability in higher education institutions (HEIs). Because HEIs play a crucial role in achieving the sustainable development goals (SDGs), experiential learning approaches are…

Research increasingly seeks to answer the question: does special education work? This is different than asking if specific interventions have positive effects and instead aims to identify system-wide impacts. We systematically review published quantitative research on the impact of receiving special education services on student outcomes using…

A dissertation research proposal is more than just a document that represents the foundation of a doctoral candidate's research journey. It is essential to communicate the study's intent to be undertaken and to gain approval from an academic committee. The present analysis provides a systematic approach to writing a dissertation proposal, offering…

This study explores the use of generative AI, specifically Google's Bard and OpenAI's ChatGPT, to enhance qualitative research within higher education assessment, focusing on institutional assessment practitioners. Using a dataset focused on diversity, equity, and inclusion (DEI) from annual faculty assessment reports, we tested traditional…

This descriptive-interpretive qualitative study analyzed educational technology scholars' written discourse with the goal of promoting sustainable terminology usage in the educational technology field. The study analyzed 105 conceptual definitions extracted from 191 doctoral dissertations on various forms of technology-based learning, including…

With a forward-looking and problem-solving mindset, this article aims to combine theoretical knowledge and empirical evidence from different schools of thought in the field of second language (L2) learning and teaching--namely, instructed second language acquisition, generative linguistics, and an ecological perspective that includes multiple…

This guide offers a comprehensive handbook to scientific research methodology and experimental design, specifically for novice MA and PhD researchers in Education and Language Learning (TESOL/TEFL). It establishes scientific research as a systematic, objective inquiry focused on identifying cause-and-effect relationships through empirical data.…

Intersectionality is a key framework for understanding complex experiences of inequality and discrimination in contemporary societies and specifically in educational contexts. This scoping review examines academic discourse on intersectional pedagogy from 2020 to 2024, following the methodological framework proposed by Arksey and O'Malley. Using…

Background: Citation practices are fundamental to teaching scholarly writing. With the emergence of generative Artificial Intelligence (AI) technologies, students need a structured way to cite when and how these technologies are used. Objective: This paper introduces an instructor resource, an AI Contribution Statement, which provides students…

Probes are follow-ups to survey questions used to gain insights on respondents' understanding of and responses to these questions. They are usually administered as open-ended questions, primarily in the context of questionnaire pretesting. Due to the decreased cost of data collection for open-ended questions in web surveys, researchers have argued…

In fall 2021, I interviewed 6 teachers about their experiences with lactation (pumping) in schools following the birth of a child. Participants recounted heartbreaking stories as the neopatriarchal norms of their institutions clashed against the unpredictable nature of the embodied labor of infant feeding. This pain, however, is an incomplete…