‘We’ve shared a lifetime with one another’: using reflective visual/verbal journals to develop graduate student relationships

The success of graduate students relies on factors beyond mere cognitive ability, with fostering peer and professional relationships as definitive influences on achievement. Research shows that positive faculty/student relationships are a significant factor in the success of graduate students and that art-making is an effective way to encourage the reflective thinking needed to nurture these relationships. In this article, we examine the relationship between arts informed pedagogy, specifically the use of a visual/verbal journal, and the formation of graduate relationships. The majority of the students in this collaborative inquiry entered their doctoral program at the same time the research class began and all engaged in an artfully imagined introduction to qualitative research course.     

Topics and cases for online education in engineering

When considering offering online education for engineering ethics instruction, making choices necessary for the effective development and delivery of an engineering ethics curriculum is an important first step. Selecting the topics and types of cases for the most effective ethics education of engineering students is a vital step in preparing an effective program. Examples are presented for topics which are considered good candidates for online presentation, and the adaptability of these topics for web-based instruction is discussed. Types of cases which are useful in engineering ethics education are presented. Methods of teaching applied ethics, as well as ideas for web-based ethics course design are suggested. The market for web-based instruction is discussed.     

高校教师教学水平评价的概化理论分析

以概化理论为基础,探究影响高校教师教学水平评价结果的因素。采用《高校教师教学水平评价量表（学生用）》收集评价数据,用mGENOVA对数据进行分析。结果发现：（1）与在第一学期末进行教学水平评价相比,在第二学期初进行教学水平评价的结果可靠性更高;（2）评价每位教师的教学水平仅需抽查20名学生即可保证评价结果的可靠性;（3）不同专业类型的学生对评价指标的侧重点不同,继而影响评价结果的可靠性;（4）学生对理科课程的评价可靠性较高,对文科课程的评价可靠性较低。     

Conceptual and pedagogical challenges in understanding the whole person

The article introduces the special issues addressing Eric Johnson's account of Form Psychology, which provides a conceptual method to scientifically study the whole person. Form Psychology is presented as a theoretically significant proposal that integrates multiple conceptualizations of the whole person. The pedagogical value of such an understanding is also emphasized as undergraduate psychology students hold strong intuitions that the person is an integrated whole rather than a set of distinct systems.     

Treatment Effectiveness of PMTO for Children's Behavior Problems in Iceland: Child Outcomes in a Nationwide Randomized Controlled Trial

Well‐documented treatment methods must be tested following their implementation in community service agencies and across different cultures to ensure continuing effectiveness. This study was a randomized controlled trial (RCT) of Parent Management Training—the Oregon model (PMTO), conducted within a nationwide implementation in Iceland. Families of 102 clinically referred children with behavior problems were recruited from five municipalities throughout Iceland. Child age ranged from 5 to 12; 73% were boys. Families were randomly assigned to either PMTO or services usually offered in the communities (SAU). Child adjustment was measured with a latent construct based on parent, child, and teacher reports of externalizing and internalizing problems and social skills. Prepost intent‐to‐treat analyses showed that PMTO treatment led to greater reductions in child adjustment problems relative to the comparison group, obtaining a modest to medium effect size based on the construct score. Only one indicator (parent‐rated Social Skills) showed significant change independently and information on amount and kind of treatment in the SAU was limited. Overall, findings indicate that PMTO is an effective method to treat children's behavior problems in a Northern European culture and supply evidence for the method's successful implementation in community settings in Iceland. This is one of few nationwide implementation studies of PMTO outside the United States and the first RCT in Iceland to test a treatment model for children's behavior problems.     

La formation dans l’enseignement de la psychologie pour les étudiants de cycle supérieur : les compétences essentielles pour les nouveaux enseignants

What pedagogical skills are necessary for first-time college instructors? Ninety-two faculty (M = 41.3 years old, 68% female, 90.2% white, 91% born in the US) and 64 graduate students (M = 28.3 years old, 83% female, 87.5% white, 81% born in the US) listed the top three skills they believed were essential to instructors’ success in the college classroom. Despite differing levels of classroom teaching experience, graduate students and faculty members prioritized “survival” skills: public speaking, organization, and content mastery. Notable differences did emerge: faculty members were more likely to list reflection on teaching and graduate students were more likely to list classroom management and comfort with technology. Faculty also preferred more informal training methods (e.g., self-reflection, mentorship), whereas graduate students preferred more formal training methods (e.g., practice/experience, seminar/workshop). Recommendations for graduate teacher training programs include a focus on lower as well as higher-level skills and an attempt to incorporate formal and informal training methods.     

How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox

How might artificial neural networks (ANNs) inform cognitive science? Often cognitive scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs to explore how cognition might represent musical properties. We train ANNs to classify musical chords, and we interpret network structure to determine what representations ANNs discover and use. We find connection weights between input units and hidden units can be described using Fourier phase spaces, a representation studied in musical set theory. We find the total signal coming through these weighted connection weights is a measure of the similarity between two Fourier structures: the structure of the hidden unit's weights and the structure of the stimulus. This is surprising because neither of these Fourier structures is computed by the hidden unit. We then show how output units use such similarity measures to classify chords. However, we also find different types of units—units that use different activation functions—use this similarity measure very differently. This result, combined with other findings, indicates that while our networks are related to the Fourier analysis of musical sets, they do not perform Fourier analyses of the kind usually described in musical set theory. Our results show Fourier representations of music are not limited to musical set theory. Our results also suggest how cognitive psychologists might explore Fourier representations in musical cognition. Critically, such theoretical and empirical implications require researchers to understand how network structure converts stimuli into responses.     

A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform

The privacy of patients is jeopardised when medical records and data are spread or shared beyond the protected cloud of institutions. This is because breaches force them to the brink that they start abstaining from full disclosure of their condition. This type of condition has a negative effect on scientific research, patients and all stakeholders. A blockchain-based data sharing system is proposed to tackle this issue, which employs immutability and autonomy properties of the blockchain to sufficiently resolve challenges associated with access control and handle sensitive data. Our proposed system is supported by a Discrete Wavelet Transform to enhance the overall security, and a Genetic Algorithm technique to optimise the queuing optimization technique as well. Introducing this cryptographic key generator enhances the immunity and system access control, which allows verifying users securely in a fast way. This design allows further accountability since all users involved are already known and the blockchain records a log of their actions. Only when the users’ cryptographic keys and identities are confirmed, the system allows requesting data from the shared queuing requests. The achieved execution time per node, confirmation time per node and robust index for block number of 0.19 s, 0.17 s and 20 respectively that based on system evaluation illustrates that our system is robust, efficient, immune and scalable.     

Prior distributions for random choice structures

We study various axioms of discrete probabilistic choice, measuring how restrictive they are, both alone and in the presence of other axioms, given a specific class of prior distributions over a complete collection of finite choice probabilities. We do this by using Monte Carlo simulation to compute, for a range of prior distributions, probabilities that various simple and compound axioms hold. For example, the probability of the triangle inequality is usually many orders of magnitude higher than the probability of random utility. While neither the triangle inequality nor weak stochastic transitivity imply the other, the conditional probability that one holds given the other holds is greater than the marginal probability, for all priors in the class we consider. The reciprocal of the prior probability that an axiom holds is an upper bound on the Bayes factor in favor of a restricted model, in which the axiom holds, against an unrestricted model. The relatively high prior probability of the triangle inequality limits the degree of support that data from a single decision maker can provide in its favor. The much lower probability of random utility implies that the Bayes factor in favor of it can be much higher, for suitable data.