This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…

The music education profession is faced with two serious problems regarding the (mis)use of data in music teacher evaluation. The first has to do with the quality and kinds of data that music teachers have been forced to use; the second is concerned with how these data are being used in the music teacher evaluation process. The evidence I will use…

If our destination is improved student achievement, we cannot get there without valuing and effectively using data in education. Central to reaching this goal is building trust among all those who have a stake in education that individual student data, such as attendance, course taking, grades, and test scores, are being collected for meaningful…

This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

Learning analytics is a relatively new field of inquiry and its precise meaning is both contested and fluid (Johnson, Smith, Willis, Levine & Haywood, 2011; LAK, n.d.). Ferguson (2012) suggests that the best working definition is that offered by the first Learning Analytics and Knowledge (LAK) conference: "the measurement, collection,…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

This paper provides a descriptive content analysis of biology education research papers published in eight major academic journals indexed in Social Science Citation Index [SSCI] of Thomson Reuters® from 1997 to 2014. Total of 1376 biology education research [BER] papers were examined. The findings indicated that most of the papers were published…

As learning analytics activity has increased, a variety of ethical implications and considerations have emerged, though a significant research gap remains in explicitly investigating the views of key stakeholders, such as academic staff. This paper draws on ethics-related findings from an Australian study featuring two surveys, one of…

This study reports on a teacher's ongoing design activities in a fully online language course when the class was in progress. The aims were, firstly, to provide first-hand experience and insight into a teacher's design work in a real-life, technology-enhanced learning (TEL) classroom; and secondly, to facilitate reflective analysis of the emerging…

Statistical literacy is a vital component of numeracy. Students need to learn to critically evaluate and interpret statistical information if they are to become informed citizens. This article examines a Year 5 unit of work that uses the data collection and analysis cycle within a sustainability context.

Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…

The purpose of this paper is to develop Geography skills for learners in high school. It is based on the demands of the Curriculum 2013 which emphasizes the achievement of competence. Curriculum 2013 is designed to provide the broadest possible learning experience for students in developing the ability to behave, to have the understanding, to have…