The Role of Ethological Observation for Measuring Animal Reactions to Biotelemetry Devices

This paper presents a methodological approach used to assess the wearability of biotelemetry devices in animals. A detailed protocol to gather quantitative and qualitative ethological observations was adapted and tested in an experimental study of 13 cat participants wearing two different GPS devices. The aim was twofold: firstly, to ascertain the potential interference generated by the devices on the animal body and behavior by quantifying and characterizing it; secondly, to individuate device features potentially responsible for the influence registered, and establish design requirements. This research contributes towards the development of a framework for evaluating the design of wearer-centered biotelemetry interventions for animals, consistent with values advocated by Animal- Computer Interaction researchers

Introduction

This chapter begins by explaining two widespread attitudes towards the methods of moral philosophy. The first common attitude is that the appropriate method for doing ethics was described by John Rawls when he formulated the reflective equilibrium method. Another common attitude is that moral philosophy has no method – anything goes in ethical theorising as long as the results are significant enough. The chapter then motivates the volume by arguing that these attitudes are not helpful. The reflective equilibrium method has its limits and yet not all ways of proceeding in ethics are equally good. For this reason, I argue that we need to be more aware of the argumentative strategies we employ in ethics. This requires being methodologically reflective and transparent and taking part in the debates about the merits and problems of different methodologies exactly in the way done in the chapters of this volume. The second half of the chapter then provides an outline of the other chapters. Here I focus on clarifying exactly how these chapters contribute to the new discussions about the methods of ethics

CAL evaluation: Future directions

Formal, experimental methods have proved increasingly difficult to implement, and lack the capacity to generate detailed results when evaluating the impact of CAL on teaching and learning. The rigid nature of experimental design restricts the scope of investigations and the conditions in which studies can be conducted It has also consistently failed to account for all influences on learning. In innovative CAL environments, practical and theoretical development depends on the ability fully to investigate the wide range of such influences. Over the past five years, a customizable evaluation framework has been developed specifically for CAL research. The conceptual approach is defined as Situated Evaluation of CAL (SECAL), and the primary focus is on quality of learning outcomes. Two important principles underpin this development. First, the widely accepted need to evaluate in authentic contexts includes examination of the combined effects of CAL with other resources and influential aspects of the learning environment. Secondly, evaluation design is based on a critical approach and qualitative, case‐based research. Positive outcomes from applications of SECAL include the easy satisfaction of practical and situation‐specific requirements and the relatively low cost of evaluation studies. Although there is little scope to produce generalizable results in the short term, the difficulty of doing so in experimental studies suggests that this objective is difficult to achieve in educational research. A more realistic, longer‐term aim is the development of grounded theory based on common findings from individual cases

Evaluation

The importance of evaluation has grown in recent years so that this topic has become the focus of considerable policy and research interest (Oliver, 2000). As new learning technologies emerge there is a need to evaluate how these are used to support an increasingly diverse student population. All staff are now expected to carry out evaluations to account for resources or to justify strategic initiatives. Additionally, for individuals trying to instigate change, evaluation data can be important in providing relevant information to initiate, support and empower change by the “production of knowledge that makes a difference” (Patton, 1997)