A study was performed to identify and evaluate characteristics, properties, and attributes of teaching cases that provide value to students. The items identified can be used to create an instrument to evaluate teaching cases during the review process for publication or by instructors to identify cases that would be most appropriate for courses.

Data and data analysis are central to science and the complex world in which people live. Students need to practice working with data--addressed in the "Next Generation Science Standards" (NGSS Lead States 2013)--starting with small, self-collected data sets and moving on to larger, remotely collected data assemblages. Small data sets…

Researchers' "reflexivity" about how they shape the phenomena that they study within the data collection process is often presented as a crucial component of ethnographic research methodology. Nevertheless, academic literature about ethnography is mostly silent around whether researchers' dreams are relevant to the research process and…

A mind mapping approach to evaluation called Ripple Effects Mapping (REM) has been developed and used by a number of Extension faculty across the country recently. This article describes three approaches to REM, as well as key differences and similarities. The authors, each from different land-grant institutions, believe REM is an effective way to…

Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics…

In this paper, we present progress towards a longitudinal study of the post-course career advancement of MOOC learners. We present initial results and analysis plans for how to link this to in-course behaviour, towards better understanding the goals of all MOOC learners.

The number of increases a particular stock makes over a fixed period follows a Poisson distribution. This article discusses using this easily-found data as an opportunity to let students become involved in the data collection and analysis process.

This is the 22nd report by the National Center on Educational Outcomes (NCEO) that describes how states publicly report assessment data for students with disabilities in K-12 schools in the United States. The purpose of this report is to examine the extent to which states reported 2018-19 assessment data for students with disabilities "to the…

With increasing cross-sectoral relationships and partnerships and the blurring of the boundaries of the various service sectors, the membrane that is assumed to separate education and health in terms of young people's wellbeing looks thinner than ever. In this project we are concerned to know what teachers do in terms of young people's health, how…

This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…

Mathematical task design has been a central focus of the mathematics education research community over the last few years. In this study, six university teacher educators from six different US institutions formed a community of practice to explore key aspects of task design (planning, implementing, reflecting, and modifying) in the context of…

Conducting social science research is a complex process, and social science students face a number of learning challenges in order to develop their skills. Moreover, new sources and types of data including so-called big data are providing new opportunities for research, but also pose methodological challenges. In this article, we explore a…

The Maryland State Department of Education (MSDE) is leading and supporting the implementation of a Teacher and Principal Evaluation (TPE) system in all school districts in the state. This study examines the progress of four years of TPE implementation, 2013 to 2016. The study draws on nearly 60,000 survey responses from principals and teachers…

Faced with increasing demands for accountability, teachers are having to base their instructional decisions and choice of interventions on data on student performance. This book shows how to make this otherwise daunting task much more manageable by means of case studies and countless evidence-based forms and graphs. Although this book often refers…

The "big data revolution" has penetrated many fields, from network monitoring to online retail. Education and learning are quickly becoming part of it, too, because today, course delivery platforms can collect unprecedented amounts of behavioral data about students as they interact with learning content online. This data includes, for…