Beyond Covariation: Cues to Causal Structure

Causal induction has two components: learning about the structure of causal models and learning about causal strength and other quantitative parameters. This chapter argues for several interconnected theses. First, people represent causal knowledge qualitatively, in terms of causal structure; quantitative knowledge is derivative. Second, people use a variety of cues to infer causal structure aside from statistical data (e.g. temporal order, intervention, coherence with prior knowledge). Third, once a structural model is hypothesized, subsequent statistical data are used to confirm, refute, or elaborate the model. Fourth, people are limited in the number and complexity of causal models that they can hold in mind to test, but they can separately learn and then integrate simple models, and revise models by adding and removing single links. Finally, current computational models of learning need further development before they can be applied to human learning

The Assistive Multi-Armed Bandit

Learning preferences implicit in the choices humans make is a well studied problem in both economics and computer science. However, most work makes the assumption that humans are acting (noisily) optimally with respect to their preferences. Such approaches can fail when people are themselves learning about what they want. In this work, we introduce the assistive multi-armed bandit, where a robot assists a human playing a bandit task to maximize cumulative reward. In this problem, the human does not know the reward function but can learn it through the rewards received from arm pulls; the robot only observes which arms the human pulls but not the reward associated with each pull. We offer sufficient and necessary conditions for successfully assisting the human in this framework. Surprisingly, better human performance in isolation does not necessarily lead to better performance when assisted by the robot: a human policy can do better by effectively communicating its observed rewards to the robot. We conduct proof-of-concept experiments that support these results. We see this work as contributing towards a theory behind algorithms for human-robot interaction.Comment: Accepted to HRI 201

First language in the classroom: the forbidden fruit?

Tesis (Profesor de Inglés para la Enseñanza Básica y Media y al grado académico de Licenciado en Educación)Over the past years, the use of students’ first language (L1) in the classroom has been a highly discussed topic in the EFL classroom as well as in the field of second language (L2) teaching/learning research. There is a tendency that advocates communicative language teaching which suggests that L1 use should forbidden in the classroom. However, research has yet to discover whether L1 use has a positive or negative impact on L2 learning. Hence, the present study aimed to examine L1 functions and the impact of L1 use on L2 development. The present study was conducted in a private school in Santiago, Chile. The participants of this study (N = 34) were engaged in two collaborative writing tasks about the book they were reading in their English literature classes, and their discussions were audio-recorded and later analyzed. A quasi-experimental method was utilized in order to observe the influence that group work had on their L2 vocabulary development. The results demonstrated that the students’ L1 played a major role in their interaction while together working on the collaborative tasks, and it served for the development of L2 vocabulary. Specifically, the results suggest that the way in which individual learners contributed to interaction affected their learning outcomes.En los últimos años, el uso de la primera lengua de los estudiantes ha sido un tema altamente discutido en las salas de clases y en la investigación de la enseñanza de inglés como Lengua Extranjera. Existe una tendencia general de prohibir el uso de la primera lengua, sin embargo, aún existen vacíos sobre la influencia positiva o negativa que esta podría tener en el aprendizaje de vocabulario. El presente estudio se realizó en una escuela privada en Santiago, Chile. El propósito del mismo fue observar las funciones que cumplía la lengua nativa en la interacción de los estudiantes y cómo esto afectaba al desarrollo de la segunda lengua en alumnos de octavo básico con alto nivel de inglés. Los participantes de este estudio fueron involucrados en dos actividades de escritura colaborativa sobre el libro que estaban leyendo en las clases de literatura inglesa, donde sus discusiones fueron grabadas en audio y luego analizadas. Se utilizó un método cuasi experimental para observar la influencia que tuvieron sus discusiones grupales –utilizando su primera lengua—en el desarrollo del vocabulario en la segunda lengua. Se aplicaron evaluaciones pre y post con el fin de tener un registro del desarrollo del vocabulario de los estudiantes y las funciones que la lengua materna cumplió fueron codificadas como sugirieron DiCamilla y Antón (2012). Los resultados demostraron que la lengua materna de los estudiantes jugó un rol mayor en su interacción mientras desarrollaban en conjunto actividades colaboración, y sirvió para el desarrollo del vocabulario de la segunda lengua. Más aun, los resultados sugieren que la forma en la que alumnos contribuyeron individualmente en las discusiones afectó los resultados en sus aprendizajes

Learning Sentence-internal Temporal Relations

In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either extract or synthesize temporal information (e.g., summarisation, question answering). Our method bypasses the need for manual coding by exploiting the presence of markers like after", which overtly signal a temporal relation. We first show that models trained on main and subordinate clauses connected with a temporal marker achieve good performance on a pseudo-disambiguation task simulating temporal inference (during testing the temporal marker is treated as unseen and the models must select the right marker from a set of possible candidates). Secondly, we assess whether the proposed approach holds promise for the semi-automatic creation of temporal annotations. Specifically, we use a model trained on noisy and approximate data (i.e., main and subordinate clauses) to predict intra-sentential relations present in TimeBank, a corpus annotated rich temporal information. Our experiments compare and contrast several probabilistic models differing in their feature space, linguistic assumptions and data requirements. We evaluate performance against gold standard corpora and also against human subjects

Are you an effective teacher of reading?

Reading occurs in our lives on a constant basis. Nevertheless, defining reading is not easy. Different people use the term reading for different purposes, which can cause much confusion. For the context of the language classroom this article will concern itself with the notion of reading as the extraction of meaning from a written text . In other words, the text is viewed as a vehicle of communication from the writer to the reader; Aebersold and Field (1997) acknowledge this by stating that it is the interaction between the text and reader that constitutes actual reading. However, simply stating that this is what constitutes reading is to risk forgetting that, in the reading class, the most important thing is that both the teacher and the student should understand the reading process

Construct validity of the Nepalese school leaving english reading test

There has been a steady interest in investigating the validity of language tests in the last decades. Despite numerous studies on construct validity in language testing, there are not many studies examining the construct validity of a reading test. This paper reports on a study that explored the construct validity of the English reading test in the Nepalese school leaving examination. Eight students were asked to take the test and think-aloud, followed by retrospective interviews. Additionally, seven experts were asked to make judgments regarding the skills tested by the test. The findings provide grounded insights into students’ response behaviors prompted by the reading tasks, and indicate some threats to the construct validity of the test. Additionally, the study reports a low level of agreement among the experts, and a big gap between the skills used by the students and the skills that the experts thought were being examined by the test

The Evolution of Religion: How Cognitive By-Products, Adaptive Learning Heuristics, Ritual Displays, and Group Competition Generate Deep Commitments to Prosocial Religio

Understanding religion requires explaining why supernatural beliefs, devotions, and rituals are both universal and variable across cultures, and why religion is so often associated with both large-scale cooperation and enduring group conflict. Emerging lines of research suggest that these oppositions result from the convergence of three processes. First, the interaction of certain reliably developing cognitive processes, such as our ability to infer the presence of intentional agents, favors—as an evolutionary by-product—the spread of certain kinds of counterintuitive concepts. Second, participation in rituals and devotions involving costly displays exploits various aspects of our evolved psychology to deepen people's commitment to both supernatural agents and religious communities. Third, competition among societies and organizations with different faith-based beliefs and practices has increasingly connected religion with both within-group prosociality and between-group enmity. This connection has strengthened dramatically in recent millennia, as part of the evolution of complex societies, and is important to understanding cooperation and conflict in today's world.by-product hypothesis, credibility enhancing displays, cultural 40 transmission, cooperation, group competition, high gods,min