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Online educational game “collections,” such as Primary Games Arena, BrainPOP, and zondle Non-digital games, such as conventional board games and card games

Having students design and develop their own games is a powerful way to have students learn not only about the technical and creative aspects of making a game but also about content-specific topics (such as history or math) that needs to be embedded in the game. Popular game creation tools include:

In this course, teachers will learn how to design and develop their own educational alternate reality game or other new media game that does not require programming skills nor a large development team to build.

Using game elements and principles to turn a class into a more game-like setting can be a way to help motivate and engage students. In this course, teachers will learn about the pros and cons of using gamification strategies, such as the use of badges and point systems, in the classroom or online course and ways in which they can implement these strategies.

How do big data and analytics generate value for higher education? They can improve administrative decision-making and organizational resource allocation. They can identify at-risk learners and provide intervention to assist learners in achieving success. By analyzing discussion messages posted, assignments completed, and messages read in LMSs such as Moodle and Desire2Learn, educators can identify students who are at risk of dropping out.13 They can create, through transparent data and analysis, a shared understanding of the institution’s successes and challenges. They can innovate and transform the college/university system, as well as academic models and pedagogical approaches. They can assist in making sense of complex topics through the combination of social networks and technical and information networks: that is, algorithms can recognize and provide insight into data and at-risk challenges. They can help leaders transition to holistic decision-making through analyses of what-if scenarios and experimentation to explore how various elements within a complex discipline (e.g., retaining students, reducing costs) connect and to explore the impact of changing core elements. They can increase organizational productivity and effectiveness by providing up-to-date information and allowing rapid response to challenges. They can help institutional leaders determine the hard (e.g., patents, research) and soft (e.g., reputation, profile, quality of teaching) value generated by faculty activity.14 They can provide learners with insight into their own learning habits and can give recommendations for improvement. Learning-facing analytics, such as the University of Maryland, Baltimore County (UMBC) Check My Activity tool, allows learners to “compare their own activity . . . against an anonymous summary of their course peers.”15

Analytics in education must be transformative, altering existing teaching, learning, and assessment processes, academic work, and administration.

Undoubtedly, analytics and big data have a significant role to play in the future of higher education. The growing role of analysis techniques and technologies in government and business sectors affirms this trend. In education the value of analytics and big data can be found in (1) their role in guiding reform activities in higher education, and (2) how they can assist educators in improving teaching and learning.

Learning analytics is essential for penetrating the fog that has settled over much of higher education. Educators, students, and administrators need a foundation on which to enact change. For educators, the availability of real-time insight into the performance of learners—including students who are at-risk—can be a significant help in the planning of teaching activities. For students, receiving information about their performance in relation to their peers or about their progress in relation to their personal goals can be motivating and encouraging. Finally, administrators and decision-makers are today confronted with tremendous uncertainty in the face of budget cuts and global competition in higher education. Learning analytics can penetrate the fog of uncertainty around how to allocate resources, develop competitive advantages, and most important, improve the quality and value of the learning experience.

The question may be whether the iPad is best suited as a 1-to-1 device or to be shared as part of a stable of digital classroom tools. For example, on the other side of Arlington, Jamestown Elementary School’s instructional technology coordinator, Camilla Gagliolo, has stashed the nearly 60 iPads at her school in technology cabinets across classrooms in the 550-student K-5 school. About a half-dozen sit in each cabinet, next to a similar number of netbook computers and iPod touch media players.

students can choose which device to use for an ongoing book-publishing project. During math in Bill Donovan’s 4th grade class, students rotate between workstations working on quick-response math exercises. Some are using math-drill apps on the iPad, iPod touches, or laptops. And some are using old-fashioned pencil and paper.