Learning analytics is a significant area of technology-enhanced learning that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it examines developing areas of learning analytics research, and identifies a series of future challenges.

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Learning analytics: drivers, developments and challenges

The field of learning analytics has the potential to enable higher education institutions to increase their understanding of their students’ learning needs and to use that understanding to positively influence student learning and progression. Analysis of data relating to students and their engagement with their learning is the foundation of this process. There is an inherent assumption linked to learning analytics that knowledge of a learner’s behavior is advantageous for the individual, instructor, and educational provider. It seems intuitively obvious that a greater understanding of a student cohort and the learning designs and interventions they best respond to would benefit students and, in turn, the institution’s retention and success rate. Yet collection of data and their use face a number of ethical challenges, including location and interpretation of data; informed consent, privacy, and deidentification of data; and classification and management of data. Approaches taken to understand the opportu...

/pdf/learning-analytics-ethical-issues-and-dilemmas-31pme4yoy3.pdf

Learning Analytics: Ethical Issues and Dilemmas

Technology is a critical part of undergraduate students’ experiences in higher education. This study explores technology ownership, use patterns, and expectations as they relate to the student experience. Colleges and universities can use the results of this study to better engage students in the learning process. Furthermore, institutions can use the data to improve information technology (IT) services, increase technology-enabled productivity, prioritize strategic contributions of IT to higher education, plan for technology shifts that impact students, and become more technologically competitive among peer institutions.

ECAR Study of Undergraduate Students and Information Technology, 2014.

The development of new technologies enables learners to learn more effectively, efficiently, flexibly and comfortably. Learners utilize smart devices to access digital resources through wireless network and to immerse in both personalized and seamless learning. Smart education, a concept that describes learning in digital age, has gained increased attention. This paper discusses the definition of smart education and presents a conceptual framework. A four-tier framework of smart pedagogies and ten key features of smart learning environments are proposed for foster smart learners who need master knowledge and skills of the 21st century learning. The smart pedagogy framework includes class-based differentiated instruction, group-based collaborative learning, individual-based personalized learning and mass-based generative learning. Furthermore, a technological architecture of smart education, which emphasizes the role of smart computing, is proposed. The tri-tier architecture and key functions are all presented. Finally, challenges of smart education are discussed.

/pdf/a-research-framework-of-smart-education-haolfz2qtx.pdf

A research framework of smart education

Building resilience in teacher education: An evidenced informed framework

/pdf/the-nmc-horizon-report-2012-higher-education-edition-477mbheyh4.pdf

The NMC Horizon Report: 2012 Higher Education Edition.

2011 Technology Outlook for New Zealand Tertiary Education

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The NMC Horizon Report: 2012 Higher Education Edition.

2011 Technology Outlook for New Zealand Tertiary Education