This article examines how Finnish universities and other higher education institutes have responded to the challenges posed by rapid changes in the world of work and societies all over Europe, particularly with reference to the development of generic skills. The data were collected by means of individual and group interviews at three Finnish…

In a recent "AstroNote," I described a simple exercise on the mass-luminosity relation for main sequence stars as an example of exposing students in a general education science course of lower mathematical level to the use of quantitative skills such as collecting and analyzing data. Here I present another attempt at a meaningful…

Data collected in psychological studies are mainly characterized by containing a large number of variables (multidimensional data sets). Analyzing multidimensional data can be a difficult task, especially if only classical approaches are used (hypothesis tests, analyses of variance, linear models, etc.). Regarding multidimensional models, visual…

To speak to diverse audiences about how people learn to write and how writing works inside and outside the academy, we must conduct research across geographical, institutional, and cultural contexts as well as research that enables comparison when appropriate. Large-scale empirical research is useful for both of these moves; however, we must…

Companies are collecting data at a greater pace and volume than ever before. However, they are struggling to develop expertise and the know-how to aggregate, analyze and more importantly provide executives and managers with the insights needed for informed decision making. As a result, the need for data analysts has never been higher. In fact, the…

The need to elicit public opinion about predefined topics is widespread in the social sciences, government and business. Traditional survey-based methods are being partly replaced by social media data mining but their potential and limitations are poorly understood. This article investigates this issue by introducing and critically evaluating a…

In this article we report on the findings of a project funded by the Australian Office for Learning and Teaching and entitled "Learning Analytics: Assisting Universities with Student Retention." While this project was primarily focused on retention as a potential outcome of learning analytics, its application could be related to the…

Dashboards allow managers to interact with data, asking "what if" questions and looking for patterns. This topic is typically mentioned in information systems courses; however, many students will not have experience with developing dashboards or using them to answer business questions. The purpose of this assignment is to provide…

Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large…

This qualitative case study explored how undergraduate students from rural areas experience higher education environments and develop a sense of belonging at a large Midwestern public university. This study defined rural considering students' hometown population size and density as well as each individual participant's constructed reality of a…

Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…

This paper describes a multiple criteria approach based on a hybrid method of Collaborative Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria which could affect the elective course recommendation for university students. In order to determine which factors are the most important, it is proposed a genetic…

Public interest in social-emotional learning is growing -- and the opportunities under the Every Student Succeeds Act have led many states and districts to consider the role of these skills in schools. As state and local leaders consider and commit to social-emotional learning programming in schools, they also have a responsibility to be…

This technical appendix provides additional information about the sample, data, and estimation strategy that were used for a series of AEP Data Notes published by the RAND Corporation in 2018 and 2019. The Data Note series is intended to provide brief, incisive analyses of teacher and school leader survey results which may be of immediate interest…

Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…