Inferring Learners' Knowledge From Their Actions

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real‐time feedback and to model data from an existing educational game.     

Optimierung expositionsbasierter Therapie

Exposure is an effective approach for treating anxiety disorders, although a substantial number of individuals fail to benefit or experience a return of fear. Research results suggest that anxious individuals show deficits in the mechanisms underlying exposure therapy, such as inhibitory learning. Targeting these processes may help improve the efficacy of exposure; however, there has been little discussion of how to implement this model in clinical practice. The primary aim of this paper is to provide examples to clinicians for how to apply this model to optimize exposure therapy, in ways that distinguish it from a fear habituation approach and a belief disconfirmation approach. Optimization strategies include (1) expectancy violation, (2) deepened extinction, (3) occasional reinforced extinction, (4) removal of safety signals, (5) variability, (6) retrieval cues, (7) multiple contexts and (8) affect labeling. Case studies illustrate methods of applying these techniques with a variety of anxiety disorders.     

What’s So Great About Authenticity Anyway? The Therapeutic Function of an Analyst’s Lie

How can we understand moments when the analyst lies to her patient? When it’s not the patient’s lying at issue but the analyst’s? When we suddenly find ourselves being deliberately disingenuous in the analytic hour? When our commitment to authenticity conflicts with the patient's need to create and sustain certain fantasies about us? Psychoanalytic literature typically focuses on the dynamics of the patient’s lie but rarely is the analyst's authenticity questioned. Are there times when the analyst might choose to lie in order to preserve herself, as well as, the relational bond? The complexity of this “choice” is explored and the erosion of an analyst’s authenticity unpacked during the final days of a difficult treatment.     

Age differences in perceptions of memory strategy effectiveness for recent and remote memory

We examined whether young and older adults hold different beliefs about the effectiveness of memory strategies for specific types of memory tasks and whether memory strategies are perceived to be differentially effective for young, middle-aged, and older targets. Participants rated the effectiveness of five memory strategies for 10 memory tasks at three target ages (20, 50, and 80 years old). Older adults did not strongly differentiate strategy effectiveness, viewing most strategies as similarly effective across memory tasks. Young adults held strategy-specific beliefs, endorsing external aids and physical health as more effective than a positive attitude or internal strategies, without substantial differentiation based on task. We also found differences in anticipated strategy effectiveness for targets of different ages. Older adults described cognitive and physical health strategies as more effective for older than middle-aged targets, whereas young adults expected these strategies to be equally effective for middle-aged and older target adults.