Schools are facing increasing demands to prepare students for rapid economic, environmental and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and to solve social problems that have not yet been anticipated. Underpinning the E2030 project is the premise that education needs to do more…

The field of learning analytics was founded with the goal to harness vast amounts of data about learning collected by the extensive use of technology. After the early formation, the field has now entered the next phase of maturation with a growing community who has an evident impact on research, practice, policy, and decision-making. Although…

This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…

The slope of the z-transformed receiver-operating characteristic (zROC) in recognition memory experiments is usually less than 1, which has long been interpreted to mean that the variance of the target distribution is greater than the variance of the lure distribution. The greater variance of the target distribution could arise because the…

Coburn and Turner (this issue) present an intriguing framework for understanding how data has come to be used in the current high accountability environments in education. In this framework, they connect various processes of data use within organizational and political contexts. Data use is presented using an ecological perspective that deepens…

In their paper "Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art," Andre Rupp and Jonathan Templin (2008) provide a comparative analysis of selected psychometric models useful for the analysis of multidimensional data for purposes of diagnostic score reporting. Recent assessment…

Reviews research on uses of computer sound and suggests how sound might be used effectively by instructional and interface designers. Topics include principles of interface design; the perception of sound; earcons, both symbolic and iconic; sound in data analysis; sound in virtual environments; and guidelines for using sound. (70 references) (LRW)

Five prototypic issues derived from a dialectical perspective are proposed: relationism, evolving reciprocity, probabilism, timing, and the nonequivalent temporal metric. It is argued that these issues, while not changing the scientific method, have implications for specific procedures. (Author)

Discusses the need in designing educational studies to give more attention to recognizing the universe of generalization and to incorporate into the design a variable that represents the universe. Data analytic techniques should treat the levels of this variable as randomly selected from the universe. (Author/JEG)

This poem, with stanzas in limerick form, refers humorously to the many threats to validity posed by problems in research design, including problems of sample selection, data collection, and data analysis. (SLD)

The authors (Ingham et al.) of the original report respond to criticisms by Kalinowski et al. that they misinterpreted their data in a study of the effects of frequency-altered feedback on stuttering in four single-subject design investigations. They also address larger issues concerning altered auditory feedback procedures. (DB)

Describes elements to look for when reading four identifiable sections of a research report: background and literature review, methodology and procedures, analysis, findings or summary. Literature review as prologue to author's argument, choices in design of a study, research participants, choices involved in analysis, and implications of findings…

Discusses the purposes and benefits of data synthesis, explaining the major techniques of extracting information from related studies and using it to explain conflicting outcomes. Stresses the importance of the analyst's attention to detailed features of each study and describes the steps of a systematic approach to synthesis. (SK)

Discusses two approaches to data analysis in pretest-posttest research designs in which researcher has not formed groups based on pretest or used pretest information in assigning participants to groups, thus ruling out two-way analysis of variance. Describes use of repeated-measures analysis of variance and two-group analysis of covariance in…

Discusses contemporary theories of adolescence, stressing developmental systems models that integrate individual and contextual levels of analysis. Maintains that adolescence should be studied with multivariate-longitudinal designs, change-sensitive measures, and data analytic strategies capitalizing on triangulation across quantitative and…