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In the past, computer programming was perceived as a task only carried out by computer scientists; in the 21st century, however, computer programming is viewed as a critical and necessary skill that everyone should learn. In order to improve teaching of problem-solving abilities in a computing environment, extensive research is being done on teaching-learning methods, types of teaching software, the educational environment, and related tools. This paper, based on diverse experimental results, proposes an environment where elementary students can easily learn and practice computer programming. The proposed robot game environment used a tangible programming tool with which students can easily create robot programs, without learning syntax, and then validate their programming results; it can also provide various game activities to incite students' interest. Observation of elementary school students placed in the robot game environment confirmed the tool's usability and entertainment aspects, and students' attitudes toward programming and their understanding of programming concepts improved.

Information and communication technology (ICT) literacy education has become an important issue, and the necessity of computational literacy (CL) has been increasing in our growing information society. CL is becoming an important element for future talents, and many countries, including the USA, are developing programs for CL education. Accordingly, Korea's Ministry of Education has modified the ICT education program created in 2000. The revised curriculum has emphasized computational thinking and informational ethics since 2007. However, in revising the ICT curriculum, we need to develop a new ICT test tool because the previous tool did not include CL. Thus, we developed a new ICT literacy test tool consisting of fundamental concepts, contemporary skills, and CL. We then carried out a test on 40,072 elementary students nationally. To determine the CL level of students, we used the standard level obtained from ten experts using the Angoff method (1971) and analyzed the difference between the standard level and students' level in the test. The results showed that students' CL scores were remarkably lower than their scores on fundamental concepts and contemporary skills. We consequently found that the revised ICT curriculum did not apply to the current ICT education domain, implying that we need to develop a strategy to expand CL to different educational fields, which would help researchers and administrators to measure CL in ICT education.

A spiking neural network (SNN) is a type of artificial neural network that operates based on discrete spikes to process timing information, similar to the manner in which the human brain processes real-world problems. In this paper, we propose a new spiking neural network (SNN) based on conventional, biologically plausible paradigms, such as the leaky integrate-and-fire model, spike timing-dependent plasticity, and the adaptive spiking threshold, by suggesting new biological models; that is, dynamic inhibition weight change, a synaptic wiring method, and Bayesian inference. The proposed network is designed for image recognition tasks, which are frequently used to evaluate the performance of conventional deep neural networks. To manifest the bio-realistic neural architecture, the learning is unsupervised, and the inhibition weight is dynamically changed; this, in turn, affects the synaptic wiring method based on Hebbian learning and the neuronal population. In the inference phase, Bayesian inference successfully classifies the input digits by counting the spikes from the responding neurons. The experimental results demonstrate that the proposed biological model ensures a performance improvement compared with other biologically plausible SNN models. [ABSTRACT FROM AUTHOR]

Herein, we report a polar-radical relay strategy for α-C-H amination of cyclic amines with N-chloro-N-sodio-carbamates. The relay is initiated by in situ generation of cyclic iminium intermediate using N-iodosuccinimide (NIS) oxidant as an initiator, which then operates through a series of polar (addition and elimination) and radical (homolysis, hydrogen- and halogen atom transfer) reactions to enable the challenging C-N bond formation in a controlled manner. A broad range of α-amino cyclic amines were readily accessed with excellent regioselectivity, and the superb applicability was further demonstrated by functionalization of biologically relevant compounds., (© 2022 Wiley-VCH GmbH.)