Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Measurement uncertainty is a key topic in the university physics laboratory curriculum. In this study, we investigate students' ability to draw conclusions from measurement data and reasoning about measurement uncertainty in inquiry labs. This investigation centres around a task where students conclude whether measurements from two experiments…

In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…

The purpose of this study was to investigate the difficulties pre-service teachers experience in conducting and writing research projects. A concurrent mixed research design was utilized to identify the primary difficulties. To collect the data, the study employed a questionnaire and document analysis. A closed-end questionnaire was administered…

Data collection in qualitative research is intended to capture the participant experience in relation to defined phenomena. Whilst attention is given to the different ways of gathering qualitative data, the presence of the researcher is a common feature. However, the researcher does not hold an inert position in the data collection process and may…

Utilizing popular murder-mystery texts that transcend boundaries of race, class, age, and sex, students apply Toulmin's 1958 concept of claim, data, warrant (Toulmin, S. E. 2003. The uses of argument. Cambridge University Press). Ultimately, students engage in an activity that demonstrates how argumentation plays a role outside of the college…

Despite the current interest in Open Science in the scientific community, it is not clear if Open Science will succeed in higher education. Open Science is based on three basic ideas: open data, open results, and open publication. If these principles can be successfully implemented, it will allow for much greater participation in the scientific…

Contemporary research on preservice teachers' data use opportunities, coursework, and interventions typically focuses on preservice teachers' perceptions about data use comfort, confidence, and preparedness. Despite the contribution of such research to understanding the efficacy of approaches to teacher preparation, understanding preservice…

In practical work focussing on conceptual development, students spend valuable in-class time on collecting data rather than making sense out of it. This provides a barrier to learning about the targeted concept. To address this problem, we developed an approach that we coin "collaborative data collection." Using a practical on the topic…

The article answers the research question: under what conditions and with what methods would museum visitors feel comfortable (and not comfortable) sharing sensitive information for the purposes of museum research or evaluation? We ground our study in literature about sharing personal information in person, online, and in the context of digital…

Social injustice has become one of the social vices that bedevil Nigerian society. The level of social injustice currently prevailing in Nigeria is alarming, and the poor citizens are beginning to feel the impact in the level of discontent among the citizenry, as demonstrated by various uprisings against the state. The poems of Victor Ngiri's…

This paper critically examines the design and impact of two commonly used education platforms for reading, "PM eCollection" and "Epic." Framed by a data justice lens, the study employs a walkthrough methodology to examine the ways each platform (re)configures teaching and learning practice, and more broadly schooling. The study…

Mass adoption of advanced information technologies is fueling a need for public servants with the skills to manage data-driven public agencies. Public employees typically acquire data skills through graduate research methods courses, which focus primarily on research design and statistical analysis. What data skills are currently taught, and what…

Simulated standardized patients (SPs) are trained individuals who pose incognito as people seeking treatment in a health care setting. With the method's increasing use and popularity, we propose some standards to adapt the method to contextual considerations of feasibility, and we discuss current issues with the SP method and the experience of…

Accounting education has undergone significant changes over the past 20 years. A curriculum that focuses on GAAP principles and ledger-based accounting rules is being quickly replaced by technology. It is necessary to develop a curriculum that enables universities to prepare students with critical job skills for entry-level accounting positions…