Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…

We review the GIDNA and CDM packages in R for fitting cognitive diagnosis/diagnostic classification models. We first provide a summary of their core capabilities and then use both simulated and real data to compare their functionalities in practice. We found that the most relevant routines in the two packages appear to be more similar than…

The discourse on parental involvement as a means to increase the educational attainment of underprivileged children has gained ground in the scholarly and policy field of preschool education. Nevertheless, this discourse is characterised by a 'democratic deficit' in which parents themselves are rarely involved in determining goals and modalities…

Sustainable design when used in educational building design has large effect or features the buildings possess and it also effects the users interaction with the building. This effect needs to be determined whether it is positive or negative one. Multiple case studies and a main case study of The Loughborough Design School were researched and…

Constructing explanations of complex phenomena is an important part of doing science and it is also an important component of learning science. Students need opportunities to make claims based on available evidence and then use science concepts to justify why evidence supports the claim. But what happens when "new" evidence emerges for…

Marketing education has responded, to some extent, to the academic challenges emanating from the Big Data revolution. To provide a forum to specifically discuss how business analytics has been integrated into the marketing curriculum, we developed a Special Issue for "Marketing Education Review." We start with a call to action that…

The present study aims to investigate information literacy and curriculum literacy levels of teacher candidates and to identify the relationship between them through their course of study at Faculty of Education. The research model was designed as quantitative one and general screening model was employed. The study group is 895 students, who were…

Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…

LAK-18, the 8th International Conference on Learning Analytics and Knowledge, was hosted by the University of Sydney, Australia, from March 5 to 9, 2018. Traditionally, authors of papers that have received high scores through the review process of the conference are invited to extend their paper and submit it for a special issue of this journal.…

Special education researchers have indicated the need for an increased use of mixed methods research to address many of the complex issues in the field. An important first step in designing mixed methods research is to develop quality research questions. The aim of this article is to provide fundamental information on the formation of mixed…

Response time variability and its changes over time have been interpreted as indicative of levels of knowledge automatization. Predominantly, only declines in variability have been examined over the course of practice and growing second language proficiency. We discuss possible scenarios that may involve increasing, rather than declining…

Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…

Community college transfer students encounter challenges progressing toward a bachelor's degree, leading to widespread transfer credit loss. This in turn may lower students' chances of credential completion and increase the time and costs for students, their families, and taxpayers. In this study we review three definitions of credit transfer…

This longitudinal pedagogical research investigates students' perceptions and learning outcomes by integrating web and social analytics--based learning activities (i.e., Google Analytics courses and certification test) into Public Relations Research course design. Results from the pretest before introducing the analytics learning assignment…

We report on five-year professional development collaboration with a group of middle-school mathematics teachers during which their views of what constitutes a productive classroom statistical activity changed. The teachers' statistics instruction was initially typical in the US context and focused on producing calculations and following…