There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…

Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our…

Objective: To analyze the literature in which researchers have utilized the National College Health Assessment (NCHA) I or the NCHA II. Participants and Methods: The authors selected peer-reviewed articles published between 2004 and July 2013 utilizing a single search term: National College Health Assessment. Articles were assessed for instrument…

This article presents a method for using mind mapping to assess social learning outcomes in collaborative environmental restoration and participatory natural resource management initiatives. Using mind mapping for preassessment and postassessment can reveal changes in individual and collective thinking about critical social and ecological issues.…

Big data from massive open online courses (MOOCs) have enabled researchers to examine learning processes at almost infinite levels of granularity. Yet, such data sets do not track every important element in the learning process. Many strategies that MOOC learners use to overcome learning challenges are not captured in clickstream and log data. In…

Preschool children could be helped to make early adjustment to a school environment before normal schooling begins. Transition from home to school represents one of the biggest changes that children undergo in the first eight years of life. This change may be likened to that which a seedling undergoes when transplanted from one place to another.…

As the boom in the older adult population continues to grow, so too grows the number of persons suffering from cognitive diseases, such as dementia of the Alzheimer's type (DAT). Older Latinos diagnosed with the disease make up 4 percent (200,000) of the current population; however, little research on bilinguals with DAT has been carried out…

Modeling the distribution of site level effects is an important problem, but it is also an incredibly difficult one. Current methods rely on distributional assumptions in multilevel models for estimation. There it is hoped that the partial pooling of site level estimates with overall estimates, designed to take into account individual variation as…

The topic of more frequent and timely vocational education and training (VET) data has been an issue of interest for a number of years. Since 2015, the National Centre for Vocational Education Research (NCVER) has collected and reported data on government-funded students and courses on a quarterly basis. These quarterly data submissions are…

The idea of data use as an educational reform strategy has gained significant traction in recent years, but there is limited research that illuminates what actually happens when teachers use data in practice. This study investigates the ways a group of middle school mathematics teachers used data in their classrooms and as part of an action…

Digital ecosystems are one of the most important strategic issues in the current digital economy. Digital ecosystems are dynamic and generative. They evolve as new firms join and as heterogeneous systems are integrated into other systems. These features digital ecosystems determine economic and technological success in the competition among…

The problem of student final grade prediction in a particular course has recently been addressed using data mining techniques. In this paper, we present two different approaches solving this task. Both approaches are validated on 138 courses which were offered to students of the Faculty of Informatics of Masaryk University between the years of…

Discourse analysis usually focuses on oral discourse, what people say within a classroom setting. The goal of this study was to show that methodologies that would normally be used in English/language arts classes could also be used in mathematics classes. In this case study, the basic methods of discourse analysis are used to examine adolescents'…

Through our experience, we aim to encourage researchers to consider various technical and methodological aspects of possible educational research that can be undertaken from a virtual learning environment, defined as a system for delivering learning materials to students via the web. This system includes assessment, student tracking, collaboration…

Staff members at Sesame Workshop asked us to conduct a meta-analysis of their proprietary evaluation research on the effects of viewing international versions of "Sesame Street." Given global crises in early childhood education, and given the wide reach of "Sesame Street," it was of considerable interest to us whether there…