CETL's Re-Usable Learning Objects

Completed, available and free to use Learning Objects listed by subject area

Networked Life: Module CIS 112, University of Pennsylvania, Spring 2008

What kind of science is appropriate for understanding the Facebook? How does Google find what you're looking for... ...and exactly how do they make money doing so? What structural properties might we expect any social network to have? How does your position in an economic network (dis)advantage you? How are individual and collective behavior related in complex networks? What might we mean by the economics of spam? What do game theory and the Paris subway have to do with Internet routing? What's going on in the pictures to the left and right? Networked Life looks at how our world is connected -- socially, economically, strategically and technologically -- and why it matters. The answers to the questions above are related. They have been the subject of a fascinating intersection of disciplines including computer science, physics, psychology, mathematics, economics and finance. Researchers from these areas all strive to quantify and explain the growing complexity and connectivity of the world around us, and they have begun to develop a rich new science along the way. Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy. This course covers computer science topics and other material that is mathematical, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. The course is open to all majors and all levels, and is taught accordingly. There will be ample opportunities for those of a quantitative bent to dig deeper into the topics we examine. The majority of the course is grounded in scientific and mathematical findings of the past two decades or less.

The Higher Education Academy Engineering Subject Center

The engineering subject center provides support for engineering students and staff in higher education at university. The website provides articles helping students in a large range of subjects, such as book reviews for a variety subjects, support in writing reports or essays and personal development in subject areas and university life in general.

A user receiving help at the subject enquiry desk

An image of a user sitting down while receiving help at the subject enquiry desk, taken 2009

Re-using (rescheduling) an Adobe Connect meeting for a new date, time and participants

A two-minute video that shows you how to edit an existing meeting in Adobe Connect so you can re-use that meeting room for a new date, time and (if needed) different participants.

Subject Specialist Databases

Powerpoint presentation of the talk given by Fiona Nichols, ECS Academic Liaison Librarian on Thursday 25th November for Info 2009.

CINAHL-Subject Headings

How to search CINAHL using their thesaurus

Anatomy Subject Banner

Banner for Anatomy subject page

Can you tell if they're learning?

The proliferation of Web-based learning objects makes finding and evaluating online resources problematic. While established Learning Analytics methods use Web interaction to evaluate learner engagement, there is uncertainty regarding the appropriateness of these measures. In this paper we propose a method for evaluating pedagogical activity in Web-based comments using a pedagogical framework, and present a preliminary study that assigns a Pedagogical Value (PV) to comments. This has value as it categorises discussion in terms of pedagogical activity rather than Web interaction. Results show that PV is distinct from typical interactional measures; there are negative or insignificant correlations with established Learning Analytics methods, but strong correlations with relevant linguistic indicators of learning, suggesting that the use of pedagogical frameworks may produce more accurate indicators than interaction analysis, and that linguistic rather than interaction analysis has the potential to automatically identify learning behaviour.