Gamification has gained an increasing attention from researchers and practitioners in various domains including education as it can increase learners' engagement and motivation. However, little is known about how educational gamification experiences can be influenced by learners' characteristics. Therefore, this study provides a systematic…

This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

Solving problems in educational settings, as in daily-life scenarios, involves constantly assessing one's own confidence in each considered solution. Metacognitive research has exposed cues that may bias confidence judgments (e.g., familiarity with question terms). Typically, metacognitive research methodologies require examining misleading cues…

During the last decades, a large body of research has contributed to knowledge on the teacher-student relationship (TSR). However, more research is needed regarding TSR as constructed in interaction and on developing methods for investigating such processes. This paper outlines a method for detailed, close interpretation and analysis of TSR,…

Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…

Single-subjects design has the advantage of providing detailed, individualized analyses of intervention. However, creating a tutorial for single-subject design (SSD) is challenging, and an effective version for online delivery is currently unavailable. Here, we developed an experiential SSD tutorial designed for online delivery and evaluated its…

This study examines the limitations and ableist assumptions embedded in quantitative survey instruments used to gather data on postsecondary students with disabilities. Specifically, three National Center for Educational Statistics postsecondary surveys were examined as data sources. Employing a critical disability studies lens and discourse…

Qualitative interviews and focus groups are commonly used methods to elicit participants' voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators' understanding and…

Using a research project that explored the college-going strategies of Black high school students and educators during the 2020-2021 school year, this case study addresses research concerns that were raised in the context of COVID-19 and the 2020 global movement in defense of Black lives. More specifically, this case study addresses two types of…

The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…

Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure.…

Assessing student achievement over multiple years is complicated by students' memberships in shifting upper-level nesting structures. These structures are manifested in (1) annual matriculation to different classrooms and (2) mobility between schools. Failure to model these shifting upper-level nesting structures may bias the inferences…

Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However,…

Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…

Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in…