Birth of a Learning Law

Defense Advanced Research Projects Agency; Office of Naval Research (N00014-95-1-0409, N00014-95-1-0657, N00014-92-J-1309

Evaluation of Emergency Response: Humanitarian Aid Agencies and Evaluation Influence

Organizational development is a central purpose of evaluation. Disasters and other emergency situations carry with them significant implications for evaluation, given that they are often unanticipated and involve multiple relief efforts on the part of INGOs, governments and international organizations. Two particularly common reasons for INGOs to evaluate disaster relief efforts are 1) accountability to donors and 2) desire to enhance the organization\u27s response capacity. This thesis endeavors briefly to review the state of the evaluation field for disaster relief so as to reflect on how it needs to go forward. The conclusion is that evaluation of disaster relief efforts is alive and well. Though evaluation for accountability seems fairly straightforward, determining just how the evaluation influences the organization and beyond is not. Evaluation use has long been a central thread of discussion in evaluation theory, with the richer idea of evaluation influence only recently taking the stage. Evaluation influence takes the notion of evaluation use a few steps further by offering more complex, subtle, and sometimes unintentional ways that an evaluation might positively better a situation. This study contributes to the very few empirical studies of evaluation influence by looking at one organization

A Wizard Hat for the Brain: Predicting Long-Term Memory Retention Using Electroencephalography

Learning is a ubiquitous process that transforms novel information and events into stored memory representations that can later be accessed. As a learner acquires new information, any feature of a memory that is shared with other memories may produce some level of retrieval- competition, making accurate recall more difficult. One of the most effective ways to reduce this competition and create distinct representations for potentially confusable memories is to practice retrieving all of the information through self-testing with feedback. As a person tests themself, competition between easily-confusable memories (e.g. memories that share similar visual or semantic features) decreases and memory representations for unique items are made more distinct. Using a portable, consumer-grade electroencephalography (EEG) device, I attempted to harness competition levels in the brain by training a machine learning classifier to predict long- term retention of novel associations. Specifically, I compare the accuracy of two logistic regression classifiers: one trained using existing category-word pairings (as has been done previously in the literature), and one trained using new episodic image-name associations developed to more closely model memory competition. I predicted that the newly developed classifier would be able to more accurately predict long-term retention. Further refinements to the predictive model and its applications are discussed

Menorah Review (No. 47, Fall, 1999)

Physician-Assisted Suicide -- What Price Prejudice? -- The American Synagogue: Now and Then -- Amelek -- Picks and Pans from the Feminist\u27s Corner -- King David -- A Good Life Now and Then -- Noteworthy Book