Amid rapid technological advancements, it is increasingly crucial for educational technology research to move beyond a narrow focus on tools and gadgets, addressing instead the broader social and ethical challenges these technologies bring to education and human performance. Translational research, with roots in the biomedical sciences, is…

Nudges are a way to steer people's behavior through changes in how choices are presented. Nudge research has been incorporated into public policy in many countries, and nudge research, thus, has the potential to directly influence societies and individuals. As a result, research ethics for nudge research is needed to ensure that nudges developed…

The reproducibility crisis in the sciences is now well established. Curiously, only sporadic attention has been paid to it in kinesiology. This is a mistake. The scientific research produced in kinesiology is not exempt from the causes of the crisis. These causes include human, statistical and philosophical limitations inherent to the scientific…

Purpose: The primary objective of this research paper was to examine the objectivity of the preselected items evaluation (PIE) method, a prevalent translation scoring method deployed by international institutions such as UAntwerpen, UGent and the University of Granada. Design/methodology/approach: This research critically analyzed the scientific…

Missing data are common with large scale assessments (LSAs). A typical approach to handling missing data with LSAs is the use of listwise deletion, despite decades of research showing that approach can be a suboptimal strategy resulting in biased estimates. In order to help researchers account for missing data, we provide a tutorial using R and…

Rapid approaches are essential when resources are limited and when findings are required in real-time to inform decisions. Limitations exist in their design and implementation, which can lead to a reduced level of trust in findings. This review sought to map the methods used across rapid evaluations and research to facilitate timeliness and…

If post-qualitative studies is committed to rethinking epistemologies and ontologies of matter and humanism, then why is the field perpetuating narrow, "one-slit," theorizing? Does it matter who we theorize with? And what matter matters in post-qualitative inquiry? These questions guide the discussion in this essay as Pillow offers a…

Research has paid less attention to the formalization of education from a systems theory and control perspective, rather than a mere algorithmic one. In this work, the underpinnings of system theory and control are provided, along with a review of their application in education. The review of studies in databases found only seven articles that…

Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…

Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…

There is currently no universally adopted definition of rural either by government entities or by rural special education researchers. Yet, the replicability, generalizability, transferability, and validity of rural special education research is dependent upon the definition of rural researchers' use to situate their work. Examining the…

The growing popularity of generative artificial intelligence (AI) tools presents new challenges for data quality in online surveys and experiments. This study examines participants' use of large language models to answer open-ended survey questions and describes empirical tendencies in human versus large language model (LLM)-generated text…

Whilst research has always been political and politicized, an emerging theme in the area of research ethics and integrity (REI) is the increased politicization of REI itself in areas of scientific and/or political controversy such as climate change, gender dysphoria treatment, the management of pandemics and women's reproductive rights. One aspect…

Researchers increasingly have access to two types of data: (i) large observational datasets where treatment (e.g., class size) is not randomized but several primary outcomes (e.g., graduation rates) and secondary outcomes (e.g., test scores) are observed and (ii) experimental data in which treatment is randomized but only secondary outcomes are…

Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…