材料呈现方式和复习与否对中文电子笔记学习学习效果的影响

笔记策略的“转换假说”指出：将听觉材料写下来比将视觉材料写下来的学习效果更好。本研究以此为基础,以104名大学生为被试,采用多元方差分析的方法,探讨了材料呈现方式和复习与否对拼音键入的中文电子笔记的即时和延时学习效果的影响。结果发现,电子笔记在视觉材料上比在听觉材料上的即时学习效果更优;在间隔一周后的延时重测中,复习后的延时学习效果显著优于不复习,但复习在视觉材料组和听觉材料组中的促进作用无显著差异。     

Perspective on “in the wild” movement analysis using machine learning

Recent advances in wearable sensing and machine learning have created ample opportunities for “in the wild” movement analysis in sports, since the combination of both enables real-time feedback to be provided to athletes and coaches, as well as long-term monitoring of movements. The potential for real-time feedback is useful for performance enhancement or technique analysis, and can be achieved by training efficient models and implementing them on dedicated hardware. Long-term monitoring of movement can be used for injury prevention, among others. Such applications are often enabled by training a machine learned model from large datasets that have been collected using wearable sensors. Therefore, in this perspective paper, we provide an overview of approaches for studies that aim to analyze sports movement “in the wild” using wearable sensors and machine learning. First, we discuss how a measurement protocol can be set up by answering six questions. Then, we discuss the benefits and pitfalls and provide recommendations for effective training of machine learning models from movement data, focusing on data pre-processing, feature calculation, and model selection and tuning. Finally, we highlight two application domains where “in the wild” data recording was combined with machine learning for injury prevention and technique analysis, respectively.     

The effect of receipt personalization on tipping behavior

Research has shown that personalizing receipts, such as drawing “smiley faces” and writing “thank you” notes on customer bills to express gratitude, can result in larger tips for restaurant wait staff. Although the practice of receipt personalization has been supported using field experiments, limited research has examined the effectiveness of this technique based on the level of service quality provided by restaurant wait staff. Using a scenario‐based approach, we found from this study that adding a personalized message significantly lowers tip percentages. Moreover, the negative effect is magnified when service quality fails to exceed customer expectations. Implications related to the findings are discussed. Copyright © 2013 John Wiley & Sons, Ltd.     

Finding Oneself Among the Saints: Thomas F. O'Dea,Mormon Intellectuals,and the Future of Mormon Orthodoxy

Thomas F. O'Dea's classic The Mormons identified “Mormonism's encounter with modern secular thought” as perhaps the church's greatest problem. In line with secularization theory, O'Dea predicted an attenuation of traditional Mormonism, and an adaptation and gradual liberalization of Mormon theology as the literal interpretation of Mormon origins “dissolved” in the solvent of modernity. O'Dea's views on the crisis facing Mormonism were based, in part, on ethnographic field work in Salt Lake City in the summer of 1950, as interpreted by a modernist Catholic sociologist. A review of his field notes suggests that key informants who “hosted” much of O'Dea's research activity were liberal Mormon academics who defined the church's traditional theology as a problem. This viewpoint agreed with O'Dea's preconceptions about the “education and apostasy” dilemma. A comparison of O'Dea's published “reading” of his field notes with the notes themselves suggests the plausibility of alternative readings. One such alternative is offered here, an interpretation of the interplay of education, Mormon theology, and Mormon intellectualism drawn from O'Dea's field notes, but with a different emphasis from that of his essay. Finally, reverting to a modernist perspective, I offer some hints from survey research suggesting that the predicted liberalization of Mormon theology has yet to occur.     

Self-Explanations: How Students Study and Use Examples in Learning to Solve Problems

The present paper analyzes the self-generated explanations (from talk-aloud protocols) that “Good” and “Poor” students produce while studying worked-out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self-explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such learning results in example-independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self-explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self-explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation-based learning to account for these psychological findings.     

Learning on the Ground: Ecology,Engagement, and Embodiment

If theological education is to prepare religious leaders who will respond faithfully and capably to ecological challenges, what models of teaching and learning will best equip them for this work? In conversation with environmental education theory and examples from diverse learning contexts, this paper proposes a model of “learning on the ground” which is characterized by engaged and embodied pedagogy through participation in earth‐honoring social practices. See a companion essay in this issue of the journal (Kevin J. O'Brien, “Balancing Critique and Commitment”) and a response to both these essays (Forrest Clingerman, “Pedagogy as a Field Guide to the Ecology of the Classroom”) also published in this issue of the journal.     

Learning and encoding higher order rules in neural networks

Some researchers state that whereas neural networks are fine for pattern recognition and categorization, complex rule formation requires a separate “symbolic” level. However, the human brain is a connectionist system and, however imperfectly, does complex reasoning and inference. Familiar modeling principles (e.g., Hebbian or associative learning, lateral inhibition, opponent processing, neuromodulation) could recur, in different combinations, in architectures that can learn diverse rules. These rules include, for example, “go to the most novel object,” “alternate between two given objects,” and “touch three given objects, without repeats, in any order.” Frontal lobe damage interferes with learning all three of those rules. Hence, network models of rule learning and encoding should include a module analogous to the prefrontal cortex. They should also include modules analogous to the hippocampus for episode setting and analogous to the amygdala for emotional evaluation.     

A Symbolic Model of the Nonconscious Acquisition of Information

This article presents counter evidence against Smolensky's theory that human intuitive/nonconscious congnitive processes can only be accurately explained in terms of subsymbolic computations carried out in artificial neural networks. We present symbolic learning models of two well-studied, complicated cognitive tasks involving nonconscious acquisition of information: learning production rules and artificial finite state grammars. Our results demonstrate that intuitive learning does not imply subsymbolic computation, and that the already well-established, perceived correlation between “conscious” and “symbolic” on the one hand, and between “nonconscious” and “subsymbolic” on the other, does not exist.     

Lernziel: Kontextbezogene psychotherapeutische Kompetenz

Several authors (e.g. Thomä 2004) of critical reviews about psychoanalytical training stated repeatedly, that the learning objective of psychoanalytical training is not to be defined. In the case of psychoanalytical training, being at the same time a pedagogical undertaking, the search for a learning objective is seen as indispensable. Wampold (2001) presented a metaanalysis of psychotherapeutic outcome studies. He examined and evaluated the results of psychotherapeutic research on the basis of hypotheses derived from the “medical model” and the “contextual model”. He concludes that psychotherapeutic treatments based on theoretical models and implementations derived from the “contextual model” are those which are effective. Starting from Wampold’s empirically evaluated theses a definition of contextual psychotherapeutic competence is developed. This definition is proposed to serve as the central learning objective of psychoanalytic education. With regard to this learning objective aspects of a contextual pedagogical conception of the psychoanalytical education are discussed. Which pedagogical theory and concepts of learning and teaching, are to be subsumed under the “contextual model” and are, therefore, suited for psychoanalytical training? What is the difference between psychotherapeutical and pedagogical relationship in psychoanalytic training? What is a contextual pedagogical competence of the analytic teacher? Are learning opportunities in psychoanalytic training apt to challenge psychoanalysts-in-training to develop spontaneously contextual psychotherapeutic competence? With regard to these questions the practice of psychoanalytic training, i.e. self-experience, supervision, imparting of theory and family observation are discussed.     

Growing interreligious and intercultural competence in the classroom

Building on various models for intercultural and interreligious competence (IC/IR competence), this essay argues that classroom learning about religious and cultural diversity will engage students' “sociological imaginations” and lead to increased IC/IR competence. The current strategy for increasing intercultural competence (attitude, skills and knowledge, to be developed in that order) does not reflect best practices for educating about social difference. Instead, knowledge acquisition about other cultures and religions is the “front line” task for increasing alterity competence, and the liberal arts classroom can represent a “safe space” for learning about cultural and religious differences in a depersonalized, sociological manner. Supporting this argument are self‐assessments of IC/IR competence collected from primarily European and white American students enrolled in “Religions of the World” or “Intercultural Communications,” allowing an analysis of IC/IR competence in light of the two distinct disciplines and contributing valuable data toward a broader theory of IC/IR pedagogy.     

Self‐Directed Learning Favors Local,Rather Than Global,Uncertainty

Collecting (or “sampling”) information that one expects to be useful is a powerful way to facilitate learning. However, relatively little is known about how people decide which information is worth sampling over the course of learning. We describe several alternative models of how people might decide to collect a piece of information inspired by “active learning” research in machine learning. We additionally provide a theoretical analysis demonstrating the situations under which these models are empirically distinguishable, and we report a novel empirical study that exploits these insights. Our model‐based analysis of participants' information gathering decisions reveals that people prefer to select items which resolve uncertainty between two possibilities at a time rather than items that have high uncertainty across all relevant possibilities simultaneously. Rather than adhering to strictly normative or confirmatory conceptions of information search, people appear to prefer a “local” sampling strategy, which may reflect cognitive constraints on the process of information gathering.     

Breakdown or Breakthrough? A History of European Research into Drugs and Creativity

ABSTRACT Language barriers have largely prevented American scholars from learning about European studies concerning drugs and creativity. An art historian reports on several Swiss, English, French and German studies conducted from the 1940s to the 1970s, offering new data in a research area that has been banned since drugs like mescalin, psilocybin, and LSD became illegal. Different views of the operations of these drugs, revealed by such terms as “hallucinogens,” “psychotogenics,” and “psychedelics,” appear to have colored researchers' aims to a large extent. The notions of drugs “dictating” or “liberating” the intoxicated artist are criticized by discussing the importance of set and setting. It is proposed that intentional drug use among artists expecting artistic breakthroughs while intoxicated, can be seen as a form of “gaucherie” or disinhibiting technique.     

Position coding effects in a 2D scenario: The case of musical notation

How does the cognitive system encode the location of objects in a visual scene? In the past decade, this question has attracted much attention in the field of visual-word recognition (e.g., “jugde” is perceptually very close to “judge”). Letter transposition effects have been explained in terms of perceptual uncertainty or shared “open bigrams”. In the present study, we focus on note position coding in music reading (i.e., a 2D scenario). The usual way to display music is the staff (i.e., a set of 5 horizontal lines and their resultant 4 spaces). When reading musical notation, it is critical to identify not only each note (temporal duration), but also its pitch (y-axis) and its temporal sequence (x-axis). To examine note position coding, we employed a same–different task in which two briefly and consecutively presented staves contained four notes. The experiment was conducted with experts (musicians) and non-experts (non-musicians). For the “different” trials, the critical conditions involved staves in which two internal notes that were switched vertically, horizontally, or fully transposed — as well as the appropriate control conditions. Results revealed that note position coding was only approximate at the early stages of processing and that this encoding process was modulated by expertise. We examine the implications of these findings for models of object position encoding.     

How Novice Science Teachers Appropriate Epistemic Discourses Around Model-Based Inquiry for Use in Classrooms

To test whether epistemically unproblematic ways of thinking and talking about science could be transformed during preservice teacher training, we designed a system of learning activities based on a set of heuristics for progressive disciplinary discourse (HPDD). The HPDD outline six design principles of learning environments where the aim is to foster learners' participation in material and discursive activities that characterize the work of scientists. After tracking participants through university coursework where the HPDD was employed and into their teaching practicums, we found that most came to reconceptualize the interrelated roles of models, theory, evidence, and argument. These ideas ultimately supported a shift in their goals for scientific investigation—from “proving” a hypothesis, to testing and revising explanatory models. Preliminary findings from teaching episodes with their own secondary students indicated that some participants took up “epistemically ambitious” classroom practices, pressing learners to develop testable models of natural phenomena and gather evidence to link observations with underlying explanatory processes.     

Duplex perception with musical stimuli

Duplex perception, a phenomenon previously demonstrated for speech stimuli, is demonstrated here for musical stimuli. In the first experiment, major and minor chords are produced by dichotic fusion of two simultaneous piano notes presented to one ear (perfect fifth) with a “natural” or “flat” single note presented to the opposite ear. Musically trained subjects perceive simultaneously both the single tone and a fused (major or minor) chord. The chords are labeled more consistently than the single notes, even though the fused chords differ solely in terms of the contralateral notes. In a second experiment, using pure tones in place of piano notes, other musically trained subjects individually exhibited categorical perception for either the fused chord or the single tones, but never for both types of stimuli. The duplex phenomenon is discussed in terms of its implications for its specific component modes of perception.     

Martin Buber’s Myth of Zion: National Education or Counter-Education?

If national education is, as Ilan Gur-Ze’ev thinks, inevitably a matter of agents for and victims of a national system, only a “counter-education” can correct it. Martin Buber shared many of Gur-Ze’ev’s concerns, but advocated a more positive view of national education. This essay examines Buber’s development of his pedagogical theory in its context, notes his influence on several educational models, investigates how his view of national education either continues or is ignored in the modern State of Israel, and shows that his positive view draws not only on his “I-Thou” dialogical insight but also on his advocacy of a myth of Zion, a myth that provides an alternative not just to the dominant myths in Israel today but also to Gur-Ze’ev’s counter-education.     

Learning to divide the labor: an account of deficits in light and heavy verb production

Theories of sentence production that involve a convergence of activation from conceptual‐semantic and syntactic‐sequential units inspired a connectionist model that was trained to produce simple sentences. The model used a learning algorithm that resulted in a sharing of responsibility (or “division of labor”) between syntactic and semantic inputs for lexical activation according to their predictive power. Semantically rich, or “heavy”, verbs in the model came to rely on semantic cues more than on syntactic cues, whereas semantically impoverished, or “light”, verbs relied more on syntactic cues. When the syntactic and semantic inputs were lesioned, the model exhibited patterns of production characteristic of agrammatic and anomic aphasic patients, respectively. Anomic models tended to lose the ability to retrieve heavy verbs, whereas agrammatic models were more impaired in retrieving light verbs. These results obtained in both sentence production and single‐word naming simulations. Moreover, simulated agrammatic lexical retrieval was more impaired overall in sentences than in single‐word tasks, in agreement with the literature. The results provide a demonstration of the division‐of‐labor principle, as well as general support for the claim that connectionist learning principles can contribute to the understanding of non‐transparent neuropsychological dissociations.     

Investigating Links from Teacher Knowledge,to Classroom Practice,to Student Learning in the Instructional System of the Middle-School Mathematics Classroom

Using data collected in 125 seventh-grade and 56 eighth-grade Texas classrooms in the context of the “Scaling Up SimCalc” research project in 2005–07, we examined relationships between teachers’ mathematics knowledge, teachers’ classroom decision making, and student achievement outcomes on topics of rate, proportionality, and linear function—three important and cognitively demanding prealgebra topics. We found that teachers’ mathematical knowledge was correlated with student achievement in only one study out of three. We also found a lack of correlations between teachers’ mathematical knowledge and critical aspects of instructional decision making. Curriculum and other learning resources (e.g., technology, student–student interactions) are clearly important factors for student learning in addition to, and in interaction with, teachers’ mathematical knowledge. Our results suggest that mathematics knowledge for teaching may have a nonlinear relationship with student learning, that those effects may be heavily mediated by other instructional factors, and that short-term content knowledge gains in teacher workshops may not persist in classroom instruction. We discuss a need in the field for richer models of how “mathematical knowledge for teaching” works in the context of complete instructional systems.     

Learning on a response continuum: Comparison of a linear change and a functional learning model

Two reinforcement schedules were used to compare the predictive validity of a linear change model with a functional learning model. In one schedule, termed “convergent,” the linear change model predicts convergence to the optimum response, while in the other, termed “divergent,” this model predicts that a subject's response will not converge. The functional learning model predicts convergence in both cases. Another factor that was varied was presence or absence of random error or “noise” in the relationship between response and outcome. In the “noiseless” condition, in which no noise is added, a subject could discover the optimum response by chance, so that some subjects could appear to have converged fortuitously. In the “noisy” conditions such chance apparent convergence could not occur.The results did not unequivocally favor either model. While the linear change model's prediction of nonconvergence in the divergent conditions (particularly the “noisy” divergent condition) was not sustained, there was a clear difference in speed of convergence, counter to the prediction inferred from the functional learning model. Evidence that at least some subjects were utilizing a functional learning strategy was adduced from the fact that subjects were able to “map out” the relation between response and outcome quite accurately in a follow-up task. Almost all subjects in the “noisy” conditions had evidently “learned” a strong linear relation, with slope closely matching the veridical one.The data were consistent with a hybrid model assuming a “hierarchy of cognitive strategies” in which more complex strategies (e.g., functional learning) are utilized only when the simpler ones (e.g., a linear change strategy) fail to solve the problem.