Maker education mainly involves “hands-on” as the core concept and combines various educational theories to redefine interactions between learners and teachers in a learning environment. Identification of meaningful “hands-on” behaviors is crucial to evaluate students’ learning performance, although an instructor’s observation of every student is not feasible. However, such observation is possible with the aid of the artificial intelligence image processing technique; the AI learning behavior recognition system can serve as the second eyes of teachers, thus accounting for individual differences. (...) However, in previous studies, learning behavior recognition was applied to the traditional or static classroom. A behavior recognition system for identifying “hands-on” actions in the learning context has still not been developed. Therefore, this study designed a human posture evaluation system, obtained human articulation node information from learning field images, and built a learning behavior recognition model suitable for maker education based on the AI convolutional neural network. A learning behavior model was defined, along with a number of student behavior indexes. Subsequently, the effectiveness of the model and behavior indexes was verified through practical learning activities. The model evaluation results indicated that the proposed model achieved a training accuracy of 0.99 and a model accuracy of 0.83. Thus, the model can be applied to dynamic maker activity learning environments. (shrink)

Students often face difficulties and experience negative emotions toward second language learning. The affective tutoring system is a next-generation learning approach that can detect the affective status of learning to increase performance. Therefore, for the purposes of this study, an innovative affective mobile language tutoring system was designed to support Japanese language learning. The effects of AMLTS, along with asynchronous discussion, that were intended to improve performance, were examined using a triangulation method. To investigate the effect on emotion, the proposed (...) AMLTS provides a virtual emotion agent that can interact with users and record emotional events, learning assessments, and the results of the interaction into a database. Learning effectiveness evaluations were conducted via two experiments: prototype evaluation and final evaluation. Sixty-three students, all beginners, were invited to use the AMLTS to learn Japanese. The research results show that the proposed AMLTS affective interaction design significantly improves learner engagement and performance. In the emotion feedback analysis and learning process, AMLTS helped students deepen their understanding of the content, enabled them to clearly understand the content, and to engage in peer interaction and experience positive emotions. In the evaluation of system usability, AMLTS reveals good usability for foreign language acquisition. (shrink)

This study is intended to create an innovative contextual English learning environment making use of the widely used communication software, LINE ChatBot, based on the Artificial Intelligence Markup Language, in order to improve speaking and listening ability among learners. A total of 73 students were invited to participate in learning activities involving a 4-week English conversation exercise including both speaking and listening. Additionally, in order to explore the influence of competition on language acquisition, we added competition characteristics to the learning (...) activities in the experimental group to enhance learning motivation and learning outcomes. The results showed that with the help of the LINE ChatBot contextual learning environment, the performance of both groups of students was slightly enhanced, but no significant differences were found. Meanwhile, extrinsic motivation in both the experimental and control group was improved if they spoke anonymously. That is, the contextual learning environment based on the LINE ChatBot significantly improved the learners’ English speaking and listening ability. In addition, the results showed that the addition of a competition element effectively enhanced the learners’ intrinsic motivation to learn English on the LINE ChatBot. (shrink)

Reinforcement learning relies on the reward prediction error (RPE) signals conveyed by the midbrain dopamine system. Previous studies showed that dopamine plays an important role in both positive and negative reinforcement. However, whether various reinforcement processes will induce distinct learning signals is still unclear. In a probabilistic learning task, we examined RPE signals in different reinforcement types using an electrophysiology index, namely, the feedback-related negativity (FRN). Ninety-four participants were randomly assigned into four groups: base (no money incentive), positive reinforcement (presentation (...) of money rewards), negative reinforcement (removal of money losses), and combined reinforcement (money rewards and removal of money losses) groups. In addition, in order to evaluate the engagement of emotional activity in the different reinforcement processes, Positive and Negative Affect Schedule-Expanded Form (PANAS-X) scales were applied before and after the experiment to detect the emotional changes. The results showed that there was no difference between groups in the dopamine-related learning bias. However, compared to the other three groups, negative reinforcement elicited smaller FRN (the difference-wave measure) during the learning, stronger positive affect and joviality, and less fatigue after the learning, in which the difference between the negative and positive reinforcement groups was smaller. The results indicated that pure avoidance motivation may induce distinct emotional fluctuations, which influence the feedback processing. (shrink)

Information and communication technology has a great impact on contemporary society and people’s lives. Especially with the pervasive access to rapidly developing technology, the impact of ICT on society and human values, the norms of ICT use, and the ethical issues derived from them are beyond the past ethical framework and deserve more research attention. The purpose of this study was to explore the key factors that influence the decision-making behaviors of information professionals when they are faced with information ethics (...) issues. The study adopted the analytic hierarchical process method to develop the evaluation framework and criteria for information professional ethics and employed the professional fields of library and information science and information technology as examples to compare whether information professionals in different fields make different judgments on the aforementioned decision-making criteria. The results of the study validated the professional information ethics hierarchy and criteria and contributed to the field of information ethics research by providing information on the aspects that need attention in the cultivation of professionals in different fields. (shrink)

Previous research has demonstrated that regular exercise modulates motor cortical plasticity and cognitive function, but the influence of short-term high-intensity interval training remains unclear. In the present study, the effect of short-term HIIT on neuroplasticity and executive function was assessed in 32 sedentary females. Half of the participants undertook 2 weeks of HIIT. Paired-pulse transcranial magnetic stimulation was used to measure motor cortical plasticity via short intracortical inhibition and intracortical facilitation. We further adapted the Stroop task using functional near-infrared spectroscopy (...) to evaluate executive function in the participants. The results indicated that, compared with the control group, the HIIT group exhibited decreased ICF. In the Stroop task, the HIIT group displayed greater activation in the left dorsolateral prefrontal cortex and left orbitofrontal cortex even though no significant difference in task performance was observed. These findings indicate that short-term HIIT may modulate motor cortical plasticity and executive function at the neural level. (shrink)

This study examines the influence of Confucianism on corporate poverty alleviation (PA) participation. We argue that firms in regions with more Confucian temples are more likely to participate in government-initiated PA programs because Confucianism emphasizes common social welfare. This positive relationship is stronger for firms with chief executive officers born in Confucian regions and for firms that are under high media pressure, as the trade-off between social welfare and firm interest is in favor of Confucianism. Using a sample of Chinese-listed (...) firms, we find evidence supporting our arguments. Moreover, we find consistent evidence that firms influenced by Confucianism are motivated to pay long-term attention to PA activities and improve corporate PA efficiency, highlighting the substantive role of Confucianism in a PA campaign. Our study contributes to the business ethics literature by introducing Confucianism into research on corporate social activities and provides practical implications. (shrink)

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, (...) and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability. (shrink)

Firms worldwide are increasingly required to disclose their carbon emissions due to the environmental damage associated with climate change. Because there has been no previous literature focusing on the determinants of corporate carbon disclosure integrating environmental legitimacy and green innovation, the present study attempted to develop an original framework to fill the research gap. This study explored the influence of environmental legitimacy on corporate carbon disclosure, and investigated the role of green innovation as a mediator. With the samples of Carbon (...) Disclosure Project in China from 2008 to 2012, the results demonstrate that environmental legitimacy significantly negatively influences the likelihood of corporate carbon disclosure, and that green process innovation mediates the relationship, while green product innovation has no significant mediating effect. It means that environmental legitimacy not only directly affects the likelihood of corporate carbon disclosure, but also indirectly affects it via green process innovation. Hence, companies must increase both informal and formal mechanisms, i.e., external environmental legitimacy and internal green process innovation, to engage in carbon information disclosure and ensure sustainability. (shrink)

Technological products such as computer, communication, and consumer electronic products, apps, smart wearables, and streaming services have become inseparable from people’s lives. In technological fields of practice, imagination, creativity, innovation, and entrepreneurship may influence one another. A vivid imagination can generate creativity and trigger the entrepreneurial intention to “bring new things to the market.” This study aims to understand the formation of internet entrepreneurial intention to use technology products. Drawing on social cognitive theory, this study explores and empirically tests how (...) technology product imagination disposition and social support impact internet entrepreneurial intention to use technology products. Drawing from self-determination theory, this study proposes and examines the mediating role of intrinsic and extrinsic motivation in the relationship between technology product imagination disposition and internet entrepreneurial intention, as well as the relationship between social support and internet entrepreneurial intention. We conducted a survey of 568 adults in Taiwan and used partial least squares to test our hypotheses. The results show the following: Technology product imagination disposition is positively associated with challenge, enjoyment, compensation, and outward motivation. Social support is positively associated with challenge, enjoyment, compensation, and outward motivation. Challenge, enjoyment, and outward motivation are positively associated with internet entrepreneurial intention to use technology products. Technology product imagination disposition intensifies internet entrepreneurial intention to use technology products by strengthening challenge, enjoyment, and outward motivation. Social support intensifies internet entrepreneurial intention by increasing challenge, enjoyment, and outward motivation. The partial mediation model represents a significant improvement in the total effect over the direct effect. We discuss the implications of these results for research and internet entrepreneurship practices. (shrink)

In the poetics of Gaston Bachelard, the natural images, especially the four elements (fire, water, air, earth), occupy the eminent place for literary imagination. Under this main frame, this paper tries to present the relation of ethics and aesthetics in focusing on the ethical image as a synthetic concept. It also argues that the poetic imagination in Bachelard presupposes a metaphysical base managing the being, the force, the will, and the action. There is a dynamic structure in this metaphysics of (...) imagination. Notwithstanding the usual separation of different spheres in philosophy, Bachelard urges a primary fusion in the cosmic scale, i.e.the world and the human are communicative and correspondent. Taking these principles into consideration, this paper explores the topological dimension in those poetic images of elements and space. The ontological sense of being-there is evaluated by the dynamic function of “there” in restoring its ethical meaning. Likewise, the terms “in front of the fire”, “before the water”, “in the water” are given the topological accents. The verticality indicating the dynamic function of the flight, of the falling, and of standing upright is topologically effective. In accordance to the verticality, the concept of survival contains an effect of surpassing the existential conditions, the prefix “sur-“ means that tentative of the higher degree. In sum, the cosmicity as the very place of ethical and ontological unificationreveals Bachelard’s concern on the imaginative transformation of the personality, the appropriation in the cosmos. (shrink)

The role of the two hemispheres in processing metaphoric language is controversial. In order to complement current debates, the current divided visual field study introduced scientific metaphors as novel metaphors, presenting orientation mapping from the specific and familiar domains to the abstract and unfamiliar domains, to examine hemispheric asymmetry in metaphoric processing. Twenty-four Chinese native speakers from science disciplines took part in the experiment. The participants were presented with four types of Chinese word pairs: scientific metaphors, conventional metaphors, literal word (...) pairs, and unrelated word pairs. The first word in each pair was presented centrally, and the second was presented to the left visual field or the right visual field. Event-related potentials were recorded when participants read the target words and judged whether words in each pair were related. The data demonstrated that both hemispheres were involved at the initial stage of metaphor processing, but the right hemisphere took a more privileged role. The significant activation of the left hemisphere for scientific metaphoric processing supports the fine-coarse coding hypothesis. During right-visual-field presentation, the left hemisphere, responsible for the processing of closely related domains, has to integrate the loosely associated domains of scientific metaphor, which greatly increased cognitive taxes. Moreover, the data of late positive components revealed different hemispheric activation between scientific metaphors and conventional metaphors. Compared with literal pairs, conventional metaphors elicited significantly higher LPCs during right visual field presentation, while the scientific metaphor elicited significantly lower LPCs during left visual field presentation. These results suggest different processing mechanisms between novel metaphors and conventional metaphors and the special role of the right hemisphere in novel metaphoric processing at the later mapping stage. (shrink)

With the rapid development of science and technology, UAVs have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects (...) of the electromagnetic environment. Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. Therefore, this paper uses the Stacking fusion model algorithm in machine learning to study the electromagnetic environment effect prediction. This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. The method consists of Extreme Gradient Boosting algorithm, Gradient Boosting Decision Tree algorithm, K Nearest Neighbor algorithm, and Decision Tree algorithm. Experimental results show that, comprising with the other seven machine learning algorithms, the Stacking fusion model has a better classification prediction accuracy of 0.9762, a lower Hamming code distance of 0.0336, and a higher Kappa coefficient of 0.955. The fusion model proposed in this paper has a better predictive effect on electromagnetic environment effects and is of great significance for improving the accuracy and safety of UAV LiDAR detection systems under the complex electromagnetic environment on the battlefield. (shrink)

In the real world, individual resources are crucial for patients when epidemics outbreak. Thus, the coupled dynamics of resource diffusion and epidemic spreading have been widely investigated when the recovery of diseases significantly depends on the resources from neighbors in static social networks. However, the social relationships of individuals are time-varying, which affects such coupled dynamics. For that, we propose a coupled resource-epidemic dynamic model on a time-varying multiplex network to synchronously simulate the resource diffusion and epidemic spreading in dynamic (...) social networks. The equilibrium analysis of the coupled model is conducted in a general scenario where the resource generation varies between susceptible and infected states and the recovery rate changes between resourceful and noresource states. By using the microscopic Markov chain approach and Monte Carlo simulations, we determine a probabilistic framework of the intralayer and interlayer dynamic processes of the coupled model and obtain the outbreak threshold of epidemic spreading. Meanwhile, the experimental results show the trivially asymmetric interactions between resource diffusion and epidemic spreading. They also indicate that the stronger activity heterogeneity and the larger contact capacity of individuals in the resource layer can more greatly promote resource diffusion, effectively suppressing epidemic spreading. However, these two individual characters in the epidemic layer can cause more resource depletion, which greatly promotes epidemic spreading. Furthermore, we also find that the contact capacity finitely impacts the coupled dynamics of resource diffusion and epidemic spreading. (shrink)

The transition of gene switch induced by external noises and external signals is investigated in the genetic regulatory system. Results show that the state-to-state transition of gene switch as well as resonant behaviors, such as the explicit coherence resonance, implicit coherence resonance and control parameter coherence biresonance, can appear when noises are injected into the genetic regulatory system. The ECR is increased with the increase of the control parameter value when starting from the supercritical Hopf bifurcation parameter point, and there (...) exists a critical control parameter value for the occurrence of ECR. However, the ICR is decreased as the control parameter value is increased when starting from the subcritical Hopf bifurcation point. In particular, the coherence of ECR is higher and more sensitive to noise than that of ICR. When an external signal is introduced into the system, the enhancement or suppression of the CPCBR and the number of peaks strongly depend on the frequency and amplitude of the external signal. Furthermore, the gene regulation system can selectively enhance or decrease the noise-induced oscillation signals at preferred frequency and amplitude of an external signal. (shrink)

本书立足《新唯识论》在近现代中国哲学发展历程中的曲折际遇，深入剖析了熊十力在本体论、心性论、方法论、修养论等层面所进行的儒佛会通的理论建构尝试，特别阐发他以唯识学反思儒家传统的思想特色、致思路向及其对 现代新儒家的影响，从而彰显《新唯识论》独特的学术价值和思想意义。.

Embodied Memories, Embedded Healing foregrounds the East Asian cultural beliefs and practices that shape the environmental consciousness of the twenty-first century. In highlighting such influences, this anthology also foregrounds the closely related new and exciting directions in ecocriticism.

This study seeks to shed light on the effect of star CEOs on the environmental, social, and governance (ESG) performance of Chinese firms. Relying on the theoretical perspective of role identity and role constraints, we analyze data from 1222 Chinese firms listed on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2019. The results analyzed using the ordinary least squares estimate method reveal a positive effect of star CEOs' extreme confidence and legitimacy pressure mechanisms on ESG performance. We also (...) find that this positive relationship is negatively moderated by higher organizational slack but strengthened by a lower level of regional marketization, as the degree of firms' dependence on external stakeholders' resources differs significantly. Additionally, this study finds that ESG activities are less likely to be associated with firm performance if star CEOs pursue them to satisfy their need for star status. These findings supplement the early tests of the influence mechanism of star CEOs on organization-level results and expand the context discussion of role identity and role constraints theory in the Chinese institutional environment. (shrink)

Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then used to identify the products that correspond to the production capacity of each individual country but are somehow overlooked by (...) the country. Then, we simulate the evolution of the country’s fitness if it would have followed the recommendations. The result of this work is the combination of these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries. (shrink)

Indonesia is recognized as a nurse exporting country, with policies that encourage nursing professionals to emigrate abroad. This includes the country’s adoption of international principles attempting to protect Indonesian nurses that emigrate as well as the country’s own participation in a bilateral trade and investment agreement, known as the Indonesia–Japan Economic Partnership Agreement that facilitates Indonesian nurse migration to Japan. Despite the potential trade and employment benefits from sending nurses abroad under the Indonesia–Japan Economic Partnership Agreement, Indonesia itself is suffering (...) from a crisis in nursing capacity and ensuring adequate healthcare access for its own populations. This represents a distinct challenge for Indonesia in appropriately balancing domestic health workforce needs, employment, and training opportunities for Indonesian nurses, and the need to acknowledge the rights of nurses to freely migrate abroad. Hence, this article reviews the complex operational and ethical issues associated with Indonesian health worker migration under the Indonesia–Japan Economic Partnership Agreement. It also introduces a policy proposal to improve performance of the Indonesia–Japan Economic Partnership Agreement and better align it with international principles focused on equitable health worker migration. (shrink)

French phenomenology In order to explore the nature of a perception and imagination while viewing, to achieve and not let those who can see can see who links to a "depth." Things, "depth" is not the result of subjective fiction, but there's show. There - imagine making a special show of images, that is, the image-type material, to appear; to explain this "image-type material" can be nervous with the Christian school in Christ's "holy body" of the analog. Finally, the subjective (...) universe, perhaps imagine themselves encountered the phenomenon of apparent natural mode, this apparent pattern is known as the United States. The French phenomenology has explored a perceptive and imagining vision at the same time on Nature which reaches a "depth" where the visible joins the invisible. This "depth" of things is not a result of a subjective fiction but catches a manifestation of Being. The onto-phanic imagination ever since makes appear a particular image, the imaginal, which we can explicate by an analogy with the "glorious body" of Christ in the Christian theology. Finally, this subjective imagination of cosmos maybe encounters a mode of phenomenal appearing of Nature itself which can be called the beauty. (shrink)

Reorienting the Political examines the reception of two controversial German philosophers, Carl Schmitt and Leo Strauss, in the Chinese-speaking world. This volume explores the powerful resonance of both thinkers in Chinese political thought from a cross-cultural and interdisciplinary perspective.

The changing milieu of research—increasingly global, interdisciplinary and collaborative—prompts greater emphasis on cultural context and upon partnership with international scholars and diverse community groups. Ethics training, however, tends to ignore the cross-cultural challenges of making ethical choices. This paper confronts those challenges by presenting a new curricular model developed by an international team. It examines ethics across a very broad range of situations, using case studies and employing the perspectives of social science, humanities and the sciences. The course has been (...) developed and taught in a highly collaborative way, involving researchers and students at Zhejiang University, the Indian Institute of Technology, Bombay and Brown University. The article presents the curricular modules of the course, learning outcomes, an assessment framework developed for the project, and a discussion of evaluation findings. (shrink)

To study the different mechanisms of understanding figurative language in a speaker’s native language and their second language, this study investigated how scientific metaphors in Chinese and English are electrophysiologically processed via event-related potential experimentation. Compared with the metaphors from daily life or in literary works, scientific metaphors tend to involve both a more complicated context structure and a distinct knowledge-inferencing process. During the N400 time window, English scientific metaphors elicited more negative N400s than Chinese ones at the parietal region. (...) In the late positive component time window, English scientific metaphors elicited less positive LPCs than Chinese ones at the parietal region, and larger late negativities encompassing smaller areas of the brain. The findings might indicate that for late unbalanced bilingual speakers, L2 scientific metaphor comprehension requires more effort in information retrieval or access to the non-literal route. Altogether, the possible findings are that non-native and non-dominant language processing involves decreased automaticity of cognitive mechanisms, and decreased sensitivity to the levels of conventionality of metaphoric meanings. (shrink)

The meshed control theory assumes that cognitive control and automatic processes work together in the natural attention of experts for superior performance. However, the methods adopted by previous studies limit their capacity to provide in-depth information on the neuromotor processes. This experiment tested the theory with an alternative approach. Twelve skilled golfers were recruited to perform a putting task under three conditions: (1) normal condition, with no focus instruction (NC), (2) external focus of attention condition (EC), and (3) internal focus (...) of attention condition (IC). Four blocks of 10 putts each were performed under each condition. The putting success rate and accuracy were measured and electroencephalographies (EEGs) were recorded. The behavioral results showed that the NC produced a higher putting success rate and accuracy than the EC and IC. The EEG data showed that the skilled golfers’ attentional processes in the NC initially resembled those in the EC and then moved toward those in the IC just before putting. This indicates a switch from more automatic processes to cognitive control processes while preparing to putt. The findings offer support for the meshed control theory and indicate the dynamic nature of neuromotor processes for the superior performance of athletes in challenging situations. (shrink)

Migraine is a chronic and idiopathic disorder leading to cognitive and affective problems. However, the neural basis of migraine without aura is still unclear. In this study, dynamic amplitude of low-frequency fluctuations analyses were performed in 21 patients with migraine without aura and 21 gender- and age-matched healthy controls to identify the voxel-level abnormal functional dynamics. Significantly decreased dALFF in the bilateral anterior insula, bilateral lateral orbitofrontal cortex, bilateral medial prefrontal cortex, bilateral anterior cingulate cortex, and left middle frontal cortex (...) were found in patients with migraine without aura. The dALFF values in the anterior cingulate cortex were negatively correlated with pain intensity, i.e., visual analog scale. Finally, support vector machine was used to classify patients with migraine without aura from healthy controls and achieved an accuracy of 83.33%, sensitivity of 90.48%, and specificity of 76.19%. Our findings provide the evidence that migraine influences the brain functional activity dynamics and reveal the neural basis for migraine, which could facilitate understanding the neuropathology of migraine and future treatment. (shrink)

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern—especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit (...) linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cyberbullying detection tools for Chinese social networking platforms. Implications also offer guidance for regulating cyberbullying and fostering ethical and responsible digital citizens. (shrink)

「法律系最讓人景仰的人格」「不上他的課會後悔一輩子」 開課三十年屹立不搖 人氣爆棚 學生零負評感動推薦 臺大法律系教授黃榮堅 暢談獨到的法學人生經驗 當法律淪為以口說形式取代心靈的真實感覺和冷靜的思考， 當公平正義的概念變成擴大對立的口號， 不懂得思考，別說你知道法律是什麼 全民共讀法律、建構獨立思維的必備書 法律對人在內心究竟選擇自己要做天使或做魔鬼，天生無能為力。 靈魂可能背叛法律，也可能超越法律， 在一樣的法律概念底下， 是人心中的善念或惡念決定了法律意義的質與量。 ——黃榮堅 ---------------------------------------------------------------------------------------------------- 今日社會裡的每個人或多或少都是一個法律人，一個好的法律人要知道人的一百種不一樣的快樂跟一百種不一樣的痛苦，這些快樂與痛苦就是法律學理上每一個原則背後的故事。 黃榮堅教授以數十年的研究經驗，敘述法律規範與自由之心的關係。書中先從法律觀點說明法律的基本作用、法律的理想與現實，以及認識法律的方法。接著跳脫法律說法，從帶著理想色彩的整體生命意會說出對法律及其現實文 化的思想與疑慮，並呈現法律在人一旦失去靈魂時可能陷入的困境。最後則提出，只有透過一顆具存在意義、能夠自由思考的人心，法律才可能呈現宜人風貌。 本書讓法律人重新認識自我的原始圖像，也讓非法律人探索規範世界的意義，除鋪陳作者幾十年來看待法律的心情轉折，亦帶有一種「遠離法律看法律」的意思。 ------------------------------------------------------------------------------------- ◎好的法學教師，讓人學會解題；優秀的法學教授，讓人渴望創造改變；頂級的法學者，讓人換一種角度看世界。黃榮堅教授，正是難得的頂級法學者之一。而這樣的法學者，願意寫一本通俗讀物，將是台灣公共討論深化的契機 。我至今記得，初學法律時，在台大舊法學院圖書部翻閱《刑罰的極限》一書序文，內心的感動與震撼。我相信本書不僅適合所有非法律人閱讀，更值得內心有所迷惘的法律人細細品味。 ——苗博雅，《阿苗帶風向》主持人 ◎本書談的是法律、法哲學等嚴肅命題，但為文如行雲流水，予人自然開朗，洗鍊通達的感覺。文中涉及較抽象的法律概念時，亦每能舉重若輕，就近取譬，不經意間穿插自己有趣的人生小體驗，或各國古今文哲著作小故事，讓 人在莞爾中豁然開朗。 ——高瑞錚，福田法律事務所負責人、福田文教基金會董事長 ◎不需要懂法律也看得懂的好書！ ——徐自強，司改會工作人員，徐自強案當事人 ◎大師出手的經典法普著作。作者以其敏銳觀察力與深邃的人文法律素養，用素樸卻富魔力的語言，配上令人或揪心或莞爾的案例，深入淺出，刺激你進行一次次的正義的思辨，認識「人生有多難，法律就有多難」的法律世界。 ——許宗力，國立臺灣大學法律系兼任教授 ◎這本書讀完之後，我一直問自己：如果我在開始當法官之前就讀過它，如果我早一點讀過它，這一條法官的路我會不會走得比較不坎坷一點？我會不會有更多的勇氣、更堅定的念頭去面對過往圈內的光怪陸離？我會不會早一點 開始進行實務圈不鼓勵的獨立思考？我能不能早一些擺脫年輕的銳氣和氣盛？會不會讓我冤枉被告的可能性低一點？ ——陳欽賢，台南地方法院法官 ◎艱深法律知識透過作者堅實學術素養轉譯為公眾可以理解的啟發性內容，是值得最高度推薦的法律知識普及性專書。 ——陳東升，台灣大學社會學系教授 ◎這本書好像是在談法律，其實是在說人生。 ——張娟芬，作家 ◎從人民的生活常識出發，帶領讀者進入法律與正義的思辨殿堂。 ——黃國昌，立法委員 出版社 商周出版 (城邦).