A survey of multi-modal learning theory

Deep multi-modal learning,a rapidly growing field with a wide range of practical applications,aims to effectively utilize and integrate information from multiple sources,known as modalities.Despite its impressive empirical performance,the theoretical foundations of deep multi-modal learning have yet to be fully explored.In this paper,we will undertake a comprehensive survey of recent developments in multi-modal learning theories,focusing on the fundamental properties that govern this field.Our goal is to provide a thorough collection of current theoretical tools for analyzing multi-modal learning,to clarify their implications for practitioners,and to suggest future directions for the establishment of a solid theoretical foundation for deep multi-modal learning.

College English Teaching Study Conducted by Discovery Learning Theory and Action Research——Take College English Ⅱ for Instance

The unceasing revolution of the global economy and culture boosts the revolutionary step of the educational circle.Combining the creed of The Guide of College English Teaching in 2016 with the results of investigation and survey in colleges, a research group in the Institute of Foreign Languages of Hankou University comes up with a revolutionary trial scheme on College English teaching conducted by discovery learning theory, as well as a research method of action research, which is in hope of mending the problems and shortcomings of current College English teaching.

Applying Learning Community Theory to Oral English Teaching in Sport Institutes

Since traditional English teaching method, which merely focuses on language teaching but ignores communicative competence, severely impedes the development of students' oral ability. It is high time that English teachers took measures to find a workable and valuable teaching method which can improve students' speaking proficiency effectively. Learning community theory provides a broad space for this, for it regards learning as a process which takes place in a community where the learners are sharing their experience towards knowledge building in an interactive and cooperative way.

Anderson's Cognitive Theory and Learning Strategy Studies in Second Language Acquisition

Second language acquisition can not be understood without addressing the interaction between language and cognition. Cognitive theory can extend to describe learning strategies as complex cognitive skills. Theoretical developments in Anderson’s production systems cover a broader range of behavior than other theories, including comprehension and production of oral and written texts as well as comprehension, problem solving, and verbal learning.Thus Anderson’s cognitive theory can be served as a rationale for learning strategy studies in second language acquisition.

Educational Practices in the Model of Music Learning Theory of E. Edwin Gordon： An Observational Research

This paper analyzes the supervision activity, to which educators and teachers enrolled with AIGAM （Gordon Italian Association for the Musical Learning） are subject to every year and intends to verify the application of those principles expressed in the learning model of the MLT （Music Learning Theory） developed by educational psychologist E. Edwin Gordon （1989, 1999, 2000, 2001, 2007） and promoted internationally by various institutions and organizations specifically accredited. It describes the influence of the videotaped supervision on the process, functions of monitoring, and evaluation of educational practices, starting with an empirical model that has guided the interventions in a study of supervision on training aimed at consolidating and developing professional skills in music education in early childhood. This paper sought to understand： the kind of practices, interactions, communications developing during an educational actions, the existence of a consistent relationship between the principles expressed in the MLT and their application, the type and benefits of supervision performed by of video recording on stakeholders in terms of change in professional behavior, and finally whether the active supervision could be comparable with other kinds of approaches.

A Preliminary Study on Connectivism—Constructivism Learning Theory Based on Developmental Cognitive Neuroscience and Spiking Neural Network

Based on a new theoretical perspective, this paper attempts to unify the seemingly incompatible learning theories of Connectivism and Constructivism into a scientific theoretical framework. The Connectivism-Constructivism learning theory is not a simple superposition of the two theories. Instead, it absorbs the essence of the learning theory of Constructivism, Connectivism and Neo-Constructivism, and takes the two empirical scientific experimental results of developmental cognitive neuroscience and spiking neural network as the factual basis, and develops two theories from the perspective of development. Integration, to achieve the resolution of contradictions, complement each other, and then rebuild. This paper discusses Connectivism-Constructivism learning theory. The theory holds that the essence of knowledge is the connection between the subject and the environment. There are two forms: physical form and logical form. The only logical form can be realized and utilized by people. Learning can be divided into two stages: connection and construction. Connection is the premise, construction is the core, and the network action generated in the connection stage as a raw material is pruned, and processed by various systems in the construction stage to become psychological representation. When the psychological representation is used, the relevant network shaping is finished, and the meaningful network is formed, which completes the change of knowledge from physical form to logical form and from logical form to physical form. Therefore, learning is the process of constructing meaningful network. We should not only promote the students’ connection stage, but also help the students’ construction stage. The innovation and breakthrough contribution of this paper is that it is the first time to look at the topic of learning theory from a new research perspective. In order to explore a more convincing learning theoretical framework, this article takes the lead in seeking theoretical support and factual basis from developmental cognitive neuroscience and Spiking neural network. As a result, Connectivism learning theory and Constructivism learning theory are successfully integrated into a rather complete and effective theoretical framework to reconstruct Connectivism-Constructivism learning theory.

Solutions to Rural College Students' Psychological Plight in Career Choice Based on Social Learning Theory:A Case Study of Northwest A&F University

The rural college students are facing psychological plight in their career choice.The social learning theory can use the triadic theory of learning to set reasonable career choice goals,the observational learning theory can be employed to establish a correct outlook on career choice,and the self-efficacy theory can be adopted to make up for the deficiencies in career choice.

Efficiency of Managers as Role Models:A Social Learning Theory Perspective

This systematic literature review aimed to analyze and synthesize studies that indicated the importance of behavioral observation in the organizational context.Based on Social Learning Theory and by considering relevant recent findings and theories,the impact of managers as role models for employees is researched and analyzed.The importance of this topic is to determine ways that learning and enhancing performance in the workplace can be applied for people management development.The literature for theory was numerous,however studies on the particular topic were limited and not expanded in the organizational context.The key message of this review is that the impact of managers and leaders can be positive and progressive both for the employees and for the organization.

On the Context Vein of“Competence”and Its Generating Mecha­nism-based on the Perspective of Situational Learning Theory

“Key competence”has become a hot vocabulary in educational reform in recent years.However,the essential connotation and specific generation mechanism of“competence”as its basic concept are still far from clear,and often controversial due to vague expressions.The rise of the concept of“key competence”undoubtedly originated in the West,but in the context of Chinese,its meaning has changed significantly.By analyzing the origin and evolution of the concept of“competence”in the Western social context and the concept from“quality”to“competence”in the Chinese social context,we can deeply understand the essence of the concept of“competence”and further clarify the specific generation mechanism of“competence”and its relationship with education.Analyzing the formation of competence based on situational learning theory emphasizes the occurrence of competence through participation in situational activities,the development of learning courses and identity consultation,which can provide some inspiration for the formation of competence.

Moral Infiltration in Junior High School English Class Based on Bandura's Social Learning Theory

In the process of education and teaching,teachers should not only impart systematic scientificknowledge to students,cultivating their ability to solve problems,but also seize the opportunity to permeate moraleducation among students.Junior high school students are in the stage of puberty,and great changes have taken placein their physiology and psychology.Teachers should serve as a guide on the aspect of their moral cognition,moraljudgment and moral behavior.English,as an important subject,plays an important role in middle school's education.Bandura's Social Learning Theory emphasizes the importance of self-efficacy and observation in students’learning.Itis a"good dose"for moral education in junior high school English class.Not only will it help teachers to improve thequality of English class teaching,but also improve students’moral qualities and overall development.

Application of Bandura's Social Learning Theory in the Moral Education of Secondary Vocational College Students

In recent years,with the high rate of juvenile delinquency,people pay more attention to the moral education of students in secondary vocational colleges.Based on the framework of social learning theory,this paper explores the systematic and comprehensive application of social learning theory in the moral education course.From the cognition of the behavior to the selection and internalization of the representation of the model behavior,and finally the selective extemalization of the representation symbol to generate the behavior,the influencing factors and their utility in each stage of the production of moral behavior are analyzed step by step,assisting students to establish correct outlook on life and values,and cultivating their"key abilities."When students face a complex and diverse social environment,they can make judgments in line with the general moral standards of the society,and then seek to improve the effectiveness of the moral standards of secondary vocational students,and strive to maximize the effectiveness of moral education.

The Enlightenment of Cooper’s Learning Circle Theory to the Construction of College Student Team

At the present stage of development,colleges and universities in the training of students and management of student team construction there are some problems,although many colleges and universities to take the corresponding management plan,effectively improve the quality of students,but educators still need to face how to cultivate a mature student team in a short time.In this regard,combining Dewey’s“experiential learning”and Cooper’s experiential learning theory,the paper applies experiential learning theory and practice to the training of college student team construction,aiming at improving the overall quality of the student team effectively,so as to promote the comprehensive development of students.

Call for papers Journal of Control Theory and Applications Special issue on Approximate dynamic programming and reinforcement learning

Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain and nonconvex environments over time.

Differentially private SGD with random features

In the realm of large-scale machine learning,it is crucial to explore methods for reducing computational complexity and memory demands while maintaining generalization performance.Additionally,since the collected data may contain some sensitive information,it is also of great significance to study privacy-preserving machine learning algorithms.This paper focuses on the performance of the differentially private stochastic gradient descent(SGD)algorithm based on random features.To begin,the algorithm maps the original data into a lowdimensional space,thereby avoiding the traditional kernel method for large-scale data storage requirement.Subsequently,the algorithm iteratively optimizes parameters using the stochastic gradient descent approach.Lastly,the output perturbation mechanism is employed to introduce random noise,ensuring algorithmic privacy.We prove that the proposed algorithm satisfies the differential privacy while achieving fast convergence rates under some mild conditions.

A new decision tree learning algorithm

In order to improve the generalization ability of binary decision trees, a new learning algorithm, the MMDT algorithm, is presented. Based on statistical learning theory the generalization performance of binary decision trees is analyzed, and the assessment rule is proposed. Under the direction of the assessment rule, the MMDT algorithm is implemented. The algorithm maps training examples from an original space to a high dimension feature space, and constructs a decision tree in it. In the feature space, a new decision node splitting criterion, the max-min rule, is used, and the margin of each decision node is maximized using a support vector machine, to improve the generalization performance. Experimental results show that the new learning algorithm is much superior to others such as C4. 5 and OCI.

The Construction of Learning Object： Tools for the Teaching

The main objective of this work was the construction of a Multidisciplinary Learning Object as a tool for teaching, enabling the use of information and communication technologies for use by teachers acting in elementary school, based on Discourse Analysis, Theory Cybernetic-systemic, the Multiple Intelligences and Collaborative Learning. All of them are informed by Foucault, Pecheux, Bakhtin, Gardner, Levy, and others. The theoretical contribution is justified to the extent that the student is above all a being inserted into a user company tool created by it over time, to act on the world. Theoretical principles underlying the construction of learning objects as tools for teaching are related to teaching and learning. The developed learning object establishes the link between the fields of pedagogy and usability, the step by step construction of each of them and their purposes, characteristics, and all detailed in the development of research. The construction of the learning object follows the steps of a methodological construction for the development of a computerized product, followed by a systematic planning and the design and construction.

At the Beginning of Learning Studies There Was the Maze

A generally forgotten means of observing the developmental stages of scientific psychology is the study of maze devices. Considered in ancient times as a symbol of the process of moving in the direction of knowledge, the labyrinth, or maze, was at the centre of psychologists’ attention from the end of the 19th century. The current paper aims to reconstruct the history of the early years of maze learning, starting from the original interests of the experimenters in brain physiology or in mental evolution, and to examine how the experiments they designed continued to be important in the general theory of learning throughout the 20th century: maze studies helped uncover general principles about learning that can be applied to many species, including humans. At the beginning of the 21st century the question has become: what parts of the brain are used for spatial learning and memory, as shown by the Morris water maze, which is very popular in studies of behavioural neuroscience.

The Role of Teacher Professional Development in Improving Teaching Quality and Student Learning Outcomes

This study investigates the impact of Teacher Professional Development(TPD)on teaching quality and student learning outcomes.Utilizing a mixed-methods approach,the research draws on quantitative data from standardized test scores and qualitative insights from teacher interviews and classroom observations.The findings indicate a strong positive correlation between TPD,as measured by self-assessment and peer evaluation,and improvements in teaching practices.These enhancements in teaching quality are further shown to have a significant impact on student learning outcomes,including academic achievement,critical thinking,and engagement.The study also presents case studies that highlight the transformative potential of TPD in various educational contexts.Limitations include the generalizability of the sample and the correlational nature of the study design.The research concludes with policy implications,emphasizing the need for increased investment in TPD,customization of TPD programs,and the promotion of a collaborative culture within schools.Future research directions are suggested to further explore the long-term effects of TPD and the most effective models for professional development.

Time series online prediction algorithm based on least squares support vector machine

Deficiencies of applying the traditional least squares support vector machine （LS-SVM） to time series online prediction were specified. According to the kernel function matrix＇s property and using the recursive calculation of block matrix, a new time series online prediction algorithm based on improved LS-SVM was proposed. The historical training results were fully utilized and the computing speed of LS-SVM was enhanced. Then, the improved algorithm was applied to timc series online prediction. Based on the operational data provided by the Northwest Power Grid of China, the method was used in the transient stability prediction of electric power system. The results show that, compared with the calculation time of the traditional LS-SVM（75 1 600 ms）, that of the proposed method in different time windows is 40-60 ms, proposed method is above 0.8. So the improved method is online prediction. and the prediction accuracy（normalized root mean squared error） of the better than the traditional LS-SVM and more suitable for time series online prediction.

Estimating coal reserves using a support vector machine

The basic principles of the Support Vector Machine (SVM) are introduced in this paper. A specific process to establish an SVM prediction model is given. To improve the precision of coal reserve estimation, a support vector machine method, based on statistical learning theory, is put forward. The SVM model was trained and tested by using the existing exploration and exploitation data of Chencun mine of Yima bureau’s as the input data. Then coal reserves within a particular region were calculated. These calculated results and the actual results of the exploration block were compared. The maximum relative error was 10.85%, within the scope of acceptable error limits. The results show that the SVM coal reserve calculation method is reliable. This method is simple, practical and valuable.