Towards a debugging tutor for object-oriented environments

Programming has provided a rich domain for Artificial Intelligence in Education and many systems have been developed to advise students about the bugs in their programs, either during program development or post-hoc. Surprisingly few systems have been developed specifically to teach debugging. Learning environment builders have assumed that either the student will be taught these elsewhere or thatthey will be learnt piecemeal without explicit advice.This paper reports on two experiments on Java debugging strategy by novice programmers and discusses their implications for the design of a debugging tutor for Java that pays particular attention to how students use the variety of program representations available. The experimental results are in agreement with research in the area that suggests that good debugging performance is associated with a balanced use ofthe available representations and a sophisticated use of the debugging step facility which enables programmers to detect and obtain information from critical momentsin the execution of the program. A balanced use of the available representations seemsto be fostered by providing representations with a higher degree of dynamic linkingas well as by explicit instruction about the representation formalism employed in the program visualisations

Implementing arts-integrated lessons through auto-ethnography to improve teacher collaboration

By utilizing the auto-ethnographical approach to writing in the creatively structured format of an arts-integrated exercise that is project-based, this study analyzes qualitative responses made by one administrator and three in-service teachers. By retroactively highlighting students’ epiphanies of musical memories (see Appendix D) while also integrating Common-Core and State Standards into its structural design, it produced an activity that was extremely challenging for fifth-grade students but also may hold potential for growth in writing skills and self-knowledge especially as it relates to the practice of teacher self-study. This approach may be utilized in classrooms in the future, but any integration into the curriculum or in professional teaching collaboration groups must be actively engaged by both instructors and students alike. Sociological concepts like race, class, culture etc. can be introduced earlier into writing lessons in public school K-8 curriculum, but must be systematically integrated to achieve maximum pedagogical and collaborative impact

How Can Transformer Models Shape Future Healthcare: A Qualitative Study

Transformer models have been successfully applied to various natural language processing and machine translation tasks in recent years, e.g. automatic language understanding. With the advent of more efficient and reliable models (e.g. GPT-3), there is a growing potential for automating time-consuming tasks that could be of particular benefit in healthcare to improve clinical outcomes. This paper aims at summarizing potential use cases of transformer models for future healthcare applications. Precisely, we conducted a survey asking experts on their ideas and reflections for future use cases. We received 28 responses, analyzed using an adapted thematic analysis. Overall, 8 use case categories were identified including documentation and clinical coding, workflow and healthcare services, decision support, knowledge management, interaction support, patient education, health management, and public health monitoring. Future research should consider developing and testing the application of transformer models for such use cases

\u3ci\u3eAcmaeodera moesta\u3c/i\u3e Dugès, 1891 (Coleoptera: Buprestidae), a poorly known species from Mexico

Two new state records are reported for the Mexican Acmaeodera moesta Dugès (Coleoptera: Bu­prestidae), a lectotype is designated for it, and clarifying discussion is provided. According to Westcott (2020) there are 152 described valid species of Acmaeodera Eschscholtz in Mexico. Acmaeodera moesta Dugès (Fig. 1–3) was described from the state of Guanajuato, and it has not since been men­tioned in the literature except for listings in catalogs and checklists. Herein we record it from the states of México (MEX) and San Luis Potosí (SLP), designate a lectotype, and provide a detailed discussion

Toma de decisiones en las organizaciones

En este escrito se abordará el tema toma de decisiones en las organizaciones, a través de cuatro funciones administrativas, que son: planeación, organización, dirección y control, factores importantes en los recursos humanos, monetarios propios y ajenos de la empresa, agentes indispensables para el buen funcionamiento y desarrollo de esta. El fundamento que se mirará en la toma de decisiones es encontrar una buena manera de comenzar a entender el proceso para tomar decisiones en relación con el trabajo de la organización, es comprender claramente que el fundamento de la toma de decisiones es la selección racional de un curso de acción. La racionalidad es la capacidad de discernir, con base en una serie de elementos de juicio, las acciones que deben tomarse para el cumplimiento de un determinado objetivo. En el trascurso de este ensayo se encontrarán los fundamentos básicos de la función organizativa en la toma de decisiones, permitiendo aumentar la parte intelectua

How Can Transformer Models Shape Future Healthcare: A Qualitative Study

Transformer models have been successfully applied to various natural language processing and machine translation tasks in recent years, e.g. automatic language understanding. With the advent of more efficient and reliable models (e.g. GPT-3), there is a growing potential for automating time-consuming tasks that could be of particular benefit in healthcare to improve clinical outcomes. This paper aims at summarizing potential use cases of transformer models for future healthcare applications. Precisely, we conducted a survey asking experts on their ideas and reflections for future use cases. We received 28 responses, analyzed using an adapted thematic analysis. Overall, 8 use case categories were identified including documentation and clinical coding, workflow and healthcare services, decision support, knowledge management, interaction support, patient education, health management, and public health monitoring. Future research should consider developing and testing the application of transformer models for such use cases

A perspective on lifelong open-ended learning autonomy for robotics through cognitive architectures

[Abstract]: This paper addresses the problem of achieving lifelong open-ended learning autonomy in robotics, and how different cognitive architectures provide functionalities that support it. To this end, we analyze a set of well-known cognitive architectures in the literature considering the different components they address and how they implement them. Among the main functionalities that are taken as relevant for lifelong open-ended learning autonomy are the fact that architectures must contemplate learning, and the availability of contextual memory systems, motivations or attention. Additionally, we try to establish which of them were actually applied to real robot scenarios. It transpires that in their current form, none of them are completely ready to address this challenge, but some of them do provide some indications on the paths to follow in some of the aspects they contemplate. It can be gleaned that for lifelong open-ended learning autonomy, motivational systems that allow finding domain-dependent goals from general internal drives, contextual long-term memory systems that all allow for associative learning and retrieval of knowledge, and robust learning systems would be the main components required. Nevertheless, other components, such as attention mechanisms or representation management systems, would greatly facilitate operation in complex domains.Ministerio de Ciencia e Innovación; PID2021-126220OB-I00Xunta de Galicia; EDC431C-2021/39Consellería de Cultura, Educación, Formación Profesional e Universidades; ED431G 2019/0

Dark states in the light-harvesting complex 2 revealed by two-dimensional electronic spectroscopy

Energy transfer and trapping in the light harvesting antennae of purple photosynthetic bacteria is an ultrafast process, which occurs with a quantum efficiency close to unity. However the mechanisms behind this process have not yet been fully understood. Recently it was proposed that low-lying energy dark states, such as charge transfer states and polaron pairs, play an important role in the dynamics and directionality of energy transfer. However, it is difficult to directly detect those states because of their small transition dipole moment and overlap with the B850/B870 exciton bands. Here we present a new experimental approach, which combines the selectivity of two-dimensional electronic spectroscopy with the availability of genetically modified light harvesting complexes, to reveal the presence of those dark states in both the genetically modified and the wild-type light harvesting 2 complexes of Rhodopseudomonas palustris. We suggest that Nature has used the unavoidable charge transfer processes that occur when LH pigments are concentrated to enhance and direct the flow of energy

A survey of representations employed in object-orientated programming

This document presents an overview of the program visualisations additional to the program code provided by some of the most popular object-oriented programming environments to support tasks involving program comprehension. These representations were compared in terms of the programming aspects they highlight and of their information modality. Those with common characteristics according to these criteria were identified. Finally, a brief analysis of these common representations in terms of Green's Cognitive Dimensions is presented. Two questions arising from this survey are (a) whether representations additional to the code should be redundant and highlight similar information to the main notation or be complementary and highlight different programming aspects and (b) which factors might increase the cognitive difficulty of co-ordinating these additional representations and the program code. More theoretical knowledge about the way these additional representations influence the comprehension of computer programs seems to be needed