This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…

This paper proposes the theoretical context for a course development framework to address the specific needs and challenges of teaching and learning in interdisciplinary studies (IDS). User-centred design (UCD) principles are used for this development process. Traditional course development frameworks provide a helpful guide in terms of setting…

The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…

Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…

"Measure, Use, Improve! Data Use in Out-of-School Time" shares the experience and wisdom from a broad cross-section of out-of-school time professionals, ranging from internal evaluators, to funders, to researchers, to policy advocates. Key themes of the volume include building support for learning and evaluation within out-of-school time…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…

This article summarizes assessment of cognitive skills through collaborative tasks, using field test results from the Assessment and Teaching of 21st Century Skills (ATC21S) project. This project, sponsored by Cisco, Intel, and Microsoft, aims to help educators around the world enable students with the skills to succeed in future career and…

Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…

How can the average educator who teaches online, without experience in evaluating emerging technologies, build on what is successful and modify what is not? Written for educators who feel ill-prepared when required to evaluate e-learning initiatives, "Evaluating e-Learning" offers step-by-step guidance for conducting an evaluation plan of…

This article introduces the notion of the assessment of "learning power" as an important station in a mentored learning journey, which begins with the motivation and identity of the person who is learning, and moves through the awareness and development of the power to learn, to the publicly valued competencies and funds of knowledge of…

A definition and brief history of the learner analysis function as it relates to instructional development. (HB)

This article discusses Rochester's two academic models that offer different tools for different purposes--measuring individual learning and measuring what affects learning. The main focus of currently available growth measures is formative assessment--providing data to inform instructional planning. Value-added assessment is not a student…

This paper: (1) examines the problems of teacher evaluation by college students; (2) underlines the difficulties of indiscriminant acceptance of raw data without considering the factors of teaching style, learning modalities, and educational goals; and (3) urges that evaluative instruments be used primarily for diagnostic purposes, for the…

Tries to develop a method for empirical evaluations of the impact of a school system on measurable cognitive and affective outcomes in students. Concentrates on the Partial Least Squares (PLS) methodology, and illustrates the potential of PLS for system analysis. (BW)

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…