Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-10-09 Cooperative journals: 《心理学报》
Abstract： Previous studies have found that participants benefit more from blocked learning in rule-based category learning but perform better with interleaved learning in information-integration category learning. In interleaved learning, participants need to generate four categories at the same time, which will create a high working memory load if applying a rule-based learning strategy and hence will encourage participants to switch from this sub-optimal strategy to information integration. However, previous studies always require passive conduct of blocked learning or interleaved learning. In real life, people will strategically switch between these two kinds of learning schedules. To grasp a better understanding, we compared passive and proactive learning schedules (blocked, interleaved, self-regulated, random). In addition, the categories used in previous studies are mutually exclusive, which contradicts real life where categories always overlapped each other and cannot be perfectly distinguished according to one or more combinations of features. For mutually exclusive structures, it is easy to confuse rule-based and information-integrated learners, and there is a countable difference in the learning speed of these two category structures. To gain more reliable results, an appropriate overlap level and the number of categories were chosen for this study. The classical four categories rule-based and information integration task is revised to contain overlapping stimuli. If classified by both two dimensions the highest accuracy was 90%. A 2 × 4 between-subject design was adopted. The dependent variables are accuracy and response time, and the first independent variable was the category structure: rule-based (RB) and information-integration (II). The second variable was the schedule of learning: blocked, interleaved, self-regulated, and random, with random presentation as the baseline condition. 265 college students were paid to participate in the experiment. Each participant should observe and report to which categories the line segment belonged. There were 100 trials each for both the learning phase and the test phase. Each phase comprised 25 trials for each category. For the test phase, a new set of stimuli are used and no feedback is provided. The behavioral data collected fit into a mathematical model to analyze what strategies participants used during tasks. The results showed a significant main effect of category structure. That is, the classification accuracy of the information-integration task is significantly higher than the rule-based task. The main effect of learning schedules was also significant. That is, the classification accuracy of interleaved, self-regulated, and random learning was significantly higher than that of blocked learning. Post hoc tests showed that the classification accuracy of the blocked learning was significantly lower than that of interleaved, self-regulated, and random learning under rule-based conditions. For the information-integration condition, the classification accuracy of the blocked learning was significantly lower than that of self-regulated. In addition, this study further analyzed learners' self-regulated learning behaviors under the overlapping category structure and found that for both rule-based tasks and information-integration tasks, learners' average length of blocked learning was significantly negatively correlated with their classification accuracy. A mathematical technique of the “Decision Bound Model” was used to analyze the data from the experiment. The results of model fitting showed that in both rule-based and information-integration tasks, self-regulated learners can use the optimal strategy more frequently. In conclusion, this study makes up for the deficiency of perfectly classified categories, finds the advantages of self-regulated learning and the disadvantages of blocked learning in category overlap, and preliminarily reveals the self-regulated learning advantages and information processing characteristics of overlapping category learning. It believes that category overlap interferes with the corresponding rules formed by learners for each category under the condition of blocking learning, which is not conducive to the blocked learning of rule-based tasks. In addition, the overlapping category structure will weaken the different information between categories and retain the common information within categories, which is not conducive to the interleaved learning of information-integration tasks. However, compared with passive learning, self-regulated learning has advantages in the learning of the two types of category structure because of its “decision-driven” and “data-driven” effects.
Subjects: Psychology >> Applied Psychology submitted time 2023-05-30
Abstract： Previous studies have found that participants benefit more from blocked learning in rule#2;based category learning but perform better with interleaved learning in information-integration category learning. In interleaved learning, participants need to generate four categories at the same time, which will create a high working memory load if applying a rule-based learning strategy and hence will encourage participants to switch from this sub-optimal strategy to information integration. However, previous studies always require passive conduct of blocked learning or interleaved learning. But in real life, people will strategically switch between these two kinds of learning schedules. To grasp a better understanding, we compared passive and proactive learning schedules (blocked, interleaved, self-regulated, random). In addition, the categories used in previous studies are mutually exclusive, which contradicts real life where categories always overlapped each other and cannot be perfectly distinguished according to one or more combinations of features. For mutually exclusive structures, it is easy to confuse rule-based and information-integrated learners, and there is a countable difference in the learning speed of these two category structures. To gain more reliable results, an appropriate overlap level and the number of categories were chosen for this study. The classical four categories rule-based and information integration task is revised to contain overlapping stimuli. If classified by both two dimensions the highest accuracy was 90%. A 2 × 4 between-subject design was adopted. The dependent variables are accuracy and response time, and the first independent variable was the category structure: rule-based (RB) and information#2;integration (II). The second variable was the schedule of learning: blocked, interleaved, self#2;regulated, and random, with random presentation as the baseline condition. 265 college students were paid to participate in the experiment. Each participant should observe and report to which categories the line segment belonged. There were 100 trials each for both the learning phase and the test phase. Each phase comprised 25 trials for each category. For the test phase, a new set of stimuli are used and no feedback is provided. The behavioral data collected fit into a mathematical model to analyze what strategies participants used during tasks. The results showed a significant main effect of category structure. That is, the classification accuracy of the information-integration task is significantly higher than the rule-based task. The main effect of learning schedules was also significant. That is, the classification accuracy of interleaved, self-regulated, and random learning was significantly higher than that of blocked learning. Post hoc tests showed that the classification accuracy of the blocked learning was significantly lower than that of interleaved, self-regulated, and random learning under rule-based conditions. For the information-integration condition, the classification accuracy of the blocked learning was significantly lower than that of self-regulated. In addition, this study further analyzed learners' self-regulated learning behaviors under the overlapping category structure and found that for both rule-based tasks and information-integration tasks, learners' average length of blocked learning was significantly negatively correlated with their classification accuracy. A mathematical technique of the “Decision Bound Model” was used to analyze the data from the experiment. The results of model fitting showed that in both rule-based and information-integration tasks, self#2;regulated learners can use the optimal strategy more frequently. In conclusion, this study makes up for the deficiency of perfectly classified categories, finds the advantages of self-regulated learning and the disadvantages of blocked learning in category overlap, and preliminarily reveals the self-regulated learning advantages and information processing characteristics of overlapping category learning. it believes that category overlap interferes with the corresponding rules formed by learners for each category under the condition of blocking learning, which is not conducive to the blocked learning of rule-based tasks. In addition, the overlapping category structure will weaken the different information between categories and retain the common information within categories, which is not conducive to the interleaved learning of information-integration tasks. However, compared with passive learning, self#2;regulated learning has advantages in the learning of the two types of category structure because of its "decision-driven" and "data-driven" effects.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Achieving carbon peak and carbon neutrality goals is a major strategic decision made by the Chinese government, which will bring extensive and profound systemic changes for the economy and society. S&T is the core driving force that supports the goal of carbon neutrality. On the basis of the related concepts of carbon neutrality, this study analyzes the strategic actions and the characteristics of technological layout of carbon neutrality in developed countries/regions and international organizations. Major countries have promoted carbon neutrality through legislative regulation, energy strategies, technology roadmaps, carbon markets and other policy actions. They focus on deploying transformative green low-carbon technologies, such as hydrogen, CCUS, renewable energy, energy storage, nuclear energy, and clean power, to seize the technological commanding heights of the future green industrial revolution. Based on the two fundamental paths of achieving carbon neutrality — “emission reduction”, “increasing sinks”, and three research directions—“building a zero-carbon energy system”, “rebuilding low-carbon industrial processes”, and “ecological carbon sequestration and increasing sinks/negative emissions”, this study puts forward 14 important scientific issues aiming to guide more than 70 key technological breakthroughs. On the basis of all findings, 6 suggestions are proposed for China’s carbon neutrality strategy and technological layout as they are (1) strengthen the top-level design and scientific planning of the action plan for carbon neutrality; (2) accelerate the construction of the technology supporting system for carbon neutrality; (3) establish a zero#2;carbon energy system and a new power system; (4) accelerate the construction of the low-carbon industrial system; (5) promote the prospective applications of negative carbon emission technologies and the ecological carbon sequestrations; (6) Enhance the application of systematic solutions in carbon neutral strategic actions.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： The UK is a proponent and pioneer of carbon neutral strategic actions. In-depth analysis and comparison of the characteristics of the carbon neutral policy system between China and the UK will be of reference value for China to promote the deployment of carbon neutral actions. Based on content analysis and grounded theory method, the “3MS” analysis framework of macro-strategy, medium skeleton and micro#2;structure are designed and put forward, and the overall text and logical characteristics of its policy are summarized. Research shows that at the overall level, the UK has basically formed the policy system of “1+1+N+X” for carbon neutrality strategy, and established a strategic promotion system of “consultation, decision making, implementation and evaluation”, with an organizational structure of central coordination, institutional promotion, think tank support and private collaboration. In addition, it has well-coordinated policy networks such as legislative constraints, overall deployment, clear mission, detailed response, mutual support, and technological guidance. In contrast, China’s legislative guarantee, promotion system and think tank support are insufficient. It is suggested that the five dimensions of legal guarantee, system and mechanism, implementation path, scientific and technological innovation, and think tank support should be taken into consideration. The improvement of China's carbon peak and carbon neutral strategic policy system should be undertaken from the perspectives of different emission reduction departments, different industrial technologies, as well as government, industry, enterprise, society and other levels.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Currently, the global energy system is shifting from the absolute dominance of fossil energy to the transition of lowcarbon and multi-energy. The global energy production and consumption revolution is constantly deepening, and emerging industries and new formats continue to grow and develop. In the process of energy transformation, major developed countries take science and technology innovation as the forerunner and take system reform as the starting point. They are committed to solving major strategic problems, such as green energy and low carbon transition, multi-energy complementary coupling utilization, deep electrification, and smart energy network construction. Based on these, they can build a clean, low-carbon, safe and efficient modern energy system, and strive for the competitive strengths of energy science and technology revolution and industrial transformation. At the same time, energy technology innovation is in a highly active period, and emerging energy technologies are accelerating at an unprecedented rate, with a number of disruptive technologies spawning. This study systematically sorts out the major strategic plannings for energy science and technology developed by major developed countries and regions, as well as analyzes the progresses and important achievements of energy technology, which can help to accurately grasp the evolving technology directions. Finally, it proposes several constructive recommendations for the development of energy science and technology in China.
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