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…

Positive Behaviour for Learning School-wide (PB4LSW) is a three tiered response to intervention framework introduced by the Ministry of Education in order to deliver strategies designed to support positive behaviour management in New Zealand schools. This research focused on the sustainable implementation of the PB4LSW programme by identifying…

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…

The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…

The National Postsecondary Education Cooperative (NPEC) of the Integrated Postsecondary Education Data System (IPEDS) commissioned this research paper to examine the postsecondary certificate program landscape and to extend the 2012 NPEC report, "Defining and Reporting Subbaccalaureate Certificates in IPEDS", which clearly identified…

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…

Introduction: Cancer registries collect tumor-related data to monitor incident rates and support population-based research. A common concern with using population-based registry data for research is reporting timeliness. Data timeliness have been recognized as an important data characteristic by both the Centers for Disease Control and Prevention…

Building on the inaugural survey conducted three years prior, the 2015 CASE Community College Alumni Relations survey collected additional insightful data on staffing, structure, communications, engagement, and fundraising. This white paper features key data on alumni relations programs at community colleges across the United States. The paper…

This article deals with the challenges of data collection from a Conversation Analysis (CA) perspective to researching synchronous, audio-visual eTandems. Conversation analysis is a research tradition that developed out of ethnomethodology and is concerned with the question of how social interaction in naturally occurring situations is organized.…

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 case study presented here highlights a unique method of collecting data for phenomenological qualitative studies. Drawing from many scholars in qualitative research, Irving Seidman developed this method of in-depth interviewing with attributes of validity and reliability. It is a time-intensive method in which three interviews are conducted,…

Phenomenography is a research approach that seeks to identify "variation" in experiences of a particular phenomenon among a sample population. It includes particular procedures for writing research questions, designing data collection tools, and analyzing findings. Sustainability in higher education has attracted considerable interest in…

Business analytics is a fast-growing area in practice. The rapid growth of business analytics in practice in the recent years is mirrored by a corresponding fast evolution of new educational programs. While more than 130 graduate and undergraduate degree programs in business analytics have been launched in the past 5 years, no commonly accepted…