The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many countries around the world. In this article, we present and discuss the School Barometer, a fast survey (in terms of reaction time, time to answer and dissemination time) that was conducted in Germany, Austria…

As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…

Online education is rapidly becoming a significant method of course delivery in higher education. Consequently, instructors analyze student performance in an attempt to better scaffold student learning. Learning analytics can provide insight into online students' course behaviors. Archival data from 167 graduate level education students enrolled…

Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some…

This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

We should dispense with use of the confusing term "null hypothesis" in educational research reports. To explain why the term should be dropped, the nature of, and relationship between, scientific and statistical hypothesis testing is clarified by explication of (a) the scientific reasoning used by Gregor Mendel in testing specific…

This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…

Are creative people highly self-actualized? Are self-actualized people highly creative? This research project attempts to understand and define these two concepts more clearly, and to answer the above questions. (Author/RK)

The central purpose of this study was to determine to what extent views of participation in adult education would be changed if viewed through the eyes of the learner rather than through the eyes of the educator. The study report is comprised of five chapters. Chapter I contains discussions of pertinent literature, problem identification, purposes…

The technique of analysis of covariance is examined for its relevance to educational and psychological investigations. A study of the arithmetic procedures, history, and statistical properties shows that, though the concepts are relevant to many data collection designs, the customary calculations are often inappropriate. Some suggestions are made…

The necessity of evaluating research methodology is discussed, and a profiling approach is proposed. Explanatory statements about the research process, directions for doing the actual profiling of the research report, a research profiling flow chart, a research profile sheet, and two additional graphic aids to understanding are included. The…

From a priori and post hoc data collection perspectives, this paper describes the interrelations among (1) power, alpha, effect size, and sample size for hypothesis testing; and (2) precision, confidence, and sample size for interval estimation. Implications for special education researchers working with convenient samples of fixed size are…

National Board Certification is a voluntary process established by the National Board for Professional Teaching Standards (NBPTS) to measure what accomplished teachers should know and be able to do. Certification is achieved through a rigorous performance-based assessment that takes between one and three years to complete. As of November 2004,…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…