Research in psychology and education tend to use large-N group designs that necessitate reporting of mean measures analyzed mostly with null hypothesis statistical testing (NHST), but sometimes with Bayesian, or the estimation approaches in inferential statistics. These approaches all render the average person or student as the the putative…

This study aims to examine postgraduate studies on analytical thinking in Türkiye. Using the descriptive content analysis method, postgraduate studies on analytical thinking skills were examined and arranged, and general trends in the field were determined. The YÖK national database was searched using the keyword "analytical thinking."…

A commonly accepted claim in mathematics education is that there is a relationship between the cognitive demand of mathematical task enactments and students' subsequent learning. One study often cited to support this claim is Stein and Lane (1996), and in 44% of those citations, Stein and Lane (1996) is the sole reference provided. Citation…

Good practice in primary research has evolved over many decades of research in applied linguistics to counter human fallibility and biases. Surprisingly, perhaps, synthesising such research in an entire field has only recently started to develop its own methodologies and recommendations. This paper outlines some of the issues involved, especially…

Data-driven methods have been a successful approach to generating hints for programming problems. However, the majority of previous studies are focused on procedural hints that aim at moving students to the next closest state to the solution. In this paper, I propose a data-driven method to generate remedy hints for BOTS, a game that teaches…

A central premise of this project is that teachers learn from the act of teaching a lesson and that this learning is evident in the planning and teaching of a subsequent lesson. We are studying the knowledge construction of mathematics teachers utilising multi-camera research techniques during lesson planning, classroom interactions and…

Determining how learners use MOOCs effectively is critical to providing feedback to instructors, schools, and policy-makers on this highly scalable technology. However, drawing inferences about student learning outcomes in MOOCs has proven to be quite difficult due to large amounts of missing data (of various kinds) and to the diverse population…

This paper reports findings from a classroom based study with 5 year old children in their first term of school. A data modelling activity contextualised by a picture story book was used to present a prediction problem. A data table with numerical data values provided for three consecutive days of rubbish collection was provided, with a fourth day…

Statistics courses that focus on data analysis in isolation, discounting the scientific inquiry process, may not motivate students to learn the subject. By involving students in other steps of the inquiry process, such as generating hypotheses and data, students may become more interested and vested in the analysis step. Additionally, such an…

This paper synthesizes research evidence pertaining to several so-called 21st century skills: critical thinking, creativity, collaboration, metacognition, and motivation. We provide a rationale for focusing on these five skills and explain their importance as educational outcomes. We then summarize peer-reviewed research published in education and…

This paper explores the possibility of fashioning a queer methodology for educational research through analysis of three research studies. It begins with the question of queer visibility, asking about the ethics and utility of remaining closeted vs. disclosing one's identity. It then explores the question of researcher subjectivity and of putting…

Literature shows that most researchers are unaware of some of the characteristics of reliability. This paper clarifies some misconceptions by describing the procedures, benefits, and limitations of reliability generalization while using it to illustrate the nature of score reliability. Reliability generalization (RG) is a meta-analytic method…

Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…

This article presents the author's address at the 2007 "Journal of Applied Quantitative Methods" ("JAQM") prize awarding festivity. The festivity was included in the opening of the 4th International Conference on Applied Statistics, November 22, 2008, Bucharest, Romania. In the address, the author reflects on three theses that…

The paper states that quantification is neither ethical nor unethical, but is ethically neutral. It is the behavior or intent of the human being that is clearly a matter of ethical concern. Like numerology and the sects of inumerates and qualitatives, there is not so much an unethical practice that is supported as there is a lack of vision and…