scholarly journals Self learning mode of flash animation course under open studio mode

2020 ◽  
Vol 189 ◽  
pp. 03008
Author(s):  
Zhang Min

In order to further develop the self-learning mode of flash animation course under the open studio mode, it is necessary to reform the courses. Under the open studio mode, the reform of self-learning mode of flash animation course needs to be carried out under the premise of a comprehensive understanding of the purpose and goal of education. Flash animation course, as a course with strong application and operation, focuses on training students’ practical design and operation ability. It is a course suitable for teachers to guide students’ learning process. Under the open studio mode, the reform of self-learning mode of flash animation course must put forward higher requirements for teachers and learners in order to promote the development of education.

2012 ◽  
Vol 92 (3) ◽  
pp. 35-48
Author(s):  
Ljiljana Zivkovic ◽  
Slavoljub Jovanovic ◽  
Marko Ivanovic

There are different views on self-regulation in the learning process, how it has to be monitored, controlled, which are the circumstances and external factors that affect independent learning. Dominant are the opinions in which the self-regulation is treated as interaction of processes related to the personality, behavioural and contextual processes. Special attention has been given to motivational strategies and students? desire to focus on goals. By enabling students to make decisions, set their own goals, make a choice, plan and organize activities, the development of self-learning and student autonomy is being encouraged. If students are given the opportunity of independent activities, effect of self-control in the process of learning and self-regulation becomes more pronounced. The paper will explain the factors that influence the process of self-learning that takes place in regular teaching with the help of map as the basic geographic media.


Author(s):  
Carlos Vargas Salgado ◽  
Jesús Águila-León ◽  
David Ribó Pérez ◽  
Paula Bastida Molina

This paper presents the results of implementing the Flipped Learning Agile (FLA) methodology as a general framework to manage courses and to encourage proactive learning for students in higher education levels. Flipped Learning is used in combination with Information and Communication Technologies (ICTs) to encourage the student in the self-learning process. It is proposed the integration of an Agile Methodology that includes the use of Scrum and Kanban methodologies, by means of sprints for task scheduling and using a board for activities status, into a Flipped Learning (FL) environment. The proposed FL environment is composed of applications such as YouTube, Google Classroom, and Google Drive. The Scrum methodology was designed for 4 sprints, each one for a week-long. Before applying the FLA methodology, a Motivated Strategies for Learning Questionnaire (MSLQ) was applied in a group of Electrical Circuits students at the University of Guadalajara. To examine the self-regulated learning process, the performance of the students was analysed before applying the FLA methodology; the same MSLQ was carried out after implementing the FLA methodology. The analyses of the last MSLQ show that the implementation of the FLA methodology, by means of the integration of the Agile methodologies of Scrum and Kanban into a flipped learning environment, encourage the self-learning strategy for higher education level students.


2020 ◽  
pp. 1-12
Author(s):  
Zijuan Chen ◽  
Ying Lian ◽  
Zhipeng Lin

Due to various factors, the learning process of business English is mostly autonomous learning. However, the traditional autonomous learning model is difficult to effectively improve the learning effect of business English. In order to improve the business English learning model, based on artificial intelligence and improved BP network model, this paper builds a business intelligence autonomous learning system with certain intelligence. Moreover, this paper designs functional modules for the characteristics of business English learners, and combines the self-learning needs to facilitate the processing of structural functions, so that students can complete the operation independently. The system sets up multiple functional modules, conducts guided recommendation learning according to the characteristics of the self-learning process, and combines the feedback system to correct the shortcomings in students’ autonomous learning. Through this system, teachers can perform a variety of operations offline and eliminate restrictions on location and teaching time. In addition, in order to verify the performance of the model, the experimental study was conducted by setting up a control group and an experimental group. The research results show that the model constructed in this paper has good performance.


Author(s):  
Hubert J. M Hermans

For the development of a democratic self, dialogical relationships between different people and between different positions in the self are paramount. After a review of studies on self-talk, the main part of this chapter is devoted to a comparison of the works of two classic thinkers on dialogue, Mikhail Bakhtin and David Bohm. A third theoretical perspective is depicted in which central elements of the two theorists are combined. This perspective centers around the concept of “generative dialogue” that, as a learning process, has the potential of innovation in the form of new and common meanings without total unification of the different positions. Elaborating on central features of generative dialogue, a distinction is made between consonant and dissonant dialogue, the latter of which is inevitable in a time of globalization and localization in which people are increasingly interdependent and, at the same time, faced with their apparent differences.


BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 15
Author(s):  
Takis Vidalis

The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.


2017 ◽  
Vol 107 (07-08) ◽  
pp. 530-535
Author(s):  
T. Miebach ◽  
M. Schmidt ◽  
P. Prof. Nyhuis

Der Fachbeitrag stellt eine Methode vor, mit der sich Bibliotheken von Instandhaltungsmaßnahmen selbstlernend gestalten lassen. Die „Intelligenz“ solcher Systeme bietet mehrfachen Nutzen, einerseits durch die Auswahl der passenden Instandhaltungsmethode zum richtigen Zeitpunkt, andererseits durch die damit verbundene Erhöhung des kompletten Abnutzungsvorrates. Die Ergebnisse sind im Sonderforschungsbereich 653 „Gentelligente Bauteile im Lebenszyklus – Nutzung vererbbarer, bauteilinhärenter Informationen in der Produktionstechnik“ entstanden.   This article describes a method to design a self-learning maintenance library. The benefit derived from the intelligence of those systems refers to the right choice of maintenance measures at the right time and the enhancement of the whole wear margin. The results are part of the Collaborative Research Centre 653: Gentelligent components in their lifecycle – Utilization of inheritable component information in product engineering.


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