Actively learn about chimpanzee conservation. The way it works: you ask your own questions, we give you tools to find credible answers and then you share your results for future users of this website.
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Conditioning affects an animal's behaviour. Learn about classical and operant conditioning in this GCSE / K12 Ecology video from the Virtual School.
Experiential learning is often used synonymously with the term "experiential education", but while experiential education is a broader philosophy of education, experiential learning considers the individual learning process.
 Jacobson and Ruddy, building on Kolb's four-stage Experiential Learning Model and Pfeiffer and Jones's five stage Experiential Learning Cycle, took these theoretical frameworks and created a simple, practical questioning model for facilitators to use in promoting critical reflection in experiential learning.
Moon has elaborated on this cycle to argue that experiential learning is most effective when it involves: 1) a "reflective learning phase" 2) a phase of learning resulting from the actions inherent to experiential learning, and 3) "a further phase of learning from feedback".
 It is related to but not synonymous with other forms of active learning such as action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning.
Kolb transposes four learning styles, Diverger, Assimilator, Accommodator and Converger, atop the Experiential Learning Model, using the four experiential learning stages to carve out "four quadrants", one for each learning style.
This problem space enables investigators to explore data from a published study by Markham et al on HIV evolution within individual patients. The study involved 15 injection drug users in Baltimore, Maryland (USA) who became infected with HIV between 1989 and 1992. Patients came in at approximately six-month intervals ("visits") to have blood samples taken. From these samples, the researchers extracted and sequenced multiple copies of proviral DNA. Patients' CD4 counts were also measured at each visit to assess their level of immune function. In this problem space, you will have access to the following materials: * background information on HIV/AIDS, * the original Markham et al. reference and other primary literature, * viral sequences from each visit of each patient, * patients' CD4 counts at each visit, * phylogenetic trees of the virus sequences from each patient, * a phylogenetic tree of each patient's starting consensus viral sequence, * a published activity using this data from the book Microbes Count!, * and additional materials prepared by other users of the problem space. You can use this data to explore a number of different questions. Here are a few general questions to get you started: * Does the virus evolve the same way in different patients? * Are there any specific mutations that cause rapid immune decline? * What types of natural selection might be influencing HIV evolution? * Is HIV being transmitted between patients after initial infection?
This problem space provides resources for going beyond the discussions of whale evolution presented in biology textbooks to look at how different types of data can be used to resolve this set of phylogenetic puzzles and to explore other related questions. In addition to providing some background on this topic the problem space has: * rich data resources for examining evolutionary relationships * curricular materials focusing on tree reading and interpretation * some suggestions for ways to extend this problem space with related research projects