scholarly journals How to Improve the Actual Effect of Computer-Assisted Teaching

2021 ◽  
Vol 9 (2) ◽  
pp. 1217-1220
Author(s):  
Xiaoqiao Cheng

Clark & Starr (1986) found in a study that the amount of memory of students varies depending on the situation: 10% of people can remember the information or knowledge “read”; 20% can remember the “heard” Information; 30% of people can remember what they “see”; 50% of people can remember what they “hear and see”; 70% of people can remember information “said”; 90% can Remember the “said and done” things. Therefore, if the learner only uses reading or listening or seeing methods when studying, the amount of memory of information is limited, but if the learner can do it by hand, it can deepen the impression and increase the memory capacity of information. Although traditional textbooks can assist learners to record external information in words, they still have certain limitations on abstract mathematical knowledge or scientific learning, and the rapid development of computers can make up for this deficiency. Computers can present dynamic images and provide learners with a powerful learning and perceptual experience, enabling learners to be more perceptive to abstract concepts (Fan, 2014).

Author(s):  
Sergey Volodenkov

Introduction. The author aims to analyze the phenomenon of information interference with national political processes in the conditions of the contemporary information society and the evolution of the Internet as a space of political communications. The article shows that the digital information intervention is relevant and at the same time, a complex multidimensional phenomenon of contemporary politics. In many respects, the potential of the digital interference phenomenon is closely related to the essential features of functioning and the transformation of the contemporary Internet, which has been actively used when changing political regimes in many countries. The problem of information security and sovereignty of the present state on the Internet is becoming one of the most urgent in the conditions of the rapid development of information and communication technologies. Methods and materials. The issues identified in the article are investigated using the methods of comparative, structural-functional and normative analysis, included observation, as well as the case-study method. The method of scientific forecasting and scripting techniques has allowed to form a scenario for the effective settlement of international conflicts in the field of information security. The empirical base of the study is reports of foreign experts, official materials of state authorities of the Russian Federation and foreign countries, reports of Freedom House international organization, official speeches and statements by the heads of state on the issues outlined in the work. Analysis. Countering external information expansion is becoming one of the most critical tasks of effective political governance at the state level to preserve the sovereignty of the national political communication space, including domestic segments of the Internet. The initiatives of states to form the sovereign national segments of the Internet space are, on the one hand, an attempt to protect their political systems from external influence and invasion, to ensure their own political stability, and on the other hand, they create risks for the democratic potential of the Internet. The article substantiates the thesis that the phenomenon of interference in elections in actual practice often becomes not so much an objective process as an instrument of information warfare, mass political propaganda and discrediting political opponents, a manipulative tool that can be actively used not only by authoritarian regimes with a low level of democratic development. Results. The study shows that differences in understanding and defining the essence of the Internet by various countries give rise to a significant potential for political conflicts on a global scale. This circumstance leads the author to the conclusion that it is necessary to form international institutions capable of preventing and regulating information conflicts in the Internet space, as well as reducing global political risks (including risks associated with potential interference in the electoral process of sovereign states). The implementation of this scenario will allow forming a collective responsibility in the functioning of the global Internet.


Author(s):  
Xinwen Bi ◽  
Xiaodan Shi

With the rapid development of the computer network technology, the blended learning method based on computer-assisted teaching has also been booming. This paper analyzes the connotations of blended learning and the architecture and main functions of the Moodle system by using research methods such as litera-ture analysis, development and research method and sample survey method and then establishes a blended learning model based on the Moodle platform. Then, with the course of C Programming Language as an example, this paper gives de-tailed design of the process and implementation plan of the blended learning model based on the Moodle platform. At last, this paper investigates and analyzes the teaching effects among teachers and students participating in the learning ac-tivity, and the results show that the blended learning model based on the Moodle platform is helpful to improving the teaching effects and can serve as a reference for the innovation of teaching models and methods.


Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 160 ◽  
Author(s):  
Tinggui Chen ◽  
Yulong Wang ◽  
Jianjun Yang ◽  
Guodong Cong

With the rapid development of “we media” technology, external information about the same sudden hot social event is often involved repetitiously, leading to frequent public opinion reversal. However, the phenomenon of public opinion reversal process usually has a long-lasting duration and spreads wide, making the event itself attract the widespread attention of ordinary people. Focusing on the public opinion reversal process of sudden social hot topic (a popular and widely discussed issue), this paper firstly identifies the internal and external factors that affect the reversal, namely individual internal characteristics and external intervention information. Secondly, information intensity and the amount of information perceived by individuals are introduced to describe the impact of external intervention information on the public opinion reversal. Thirdly, the parameters of individual attention and conservation are used to describe the process of individual’s selection of external information, so as to reveal the influence of the internal characteristics on public opinion reversal, and then build a public opinion reversal model. Fourthly, the effects of information intensity and individual attention, as well as individual conservation on the process of public opinion reversal are analyzed by simulation experiment. Simulation results show that: (1) the intensity of external intervention information affects the direction and degree of public opinion reversal; (2) when individual conservation is strong or individual attention is weak, even if external intervention information is strong, there will still be no obvious reversal of public opinion. Subsequently, the rationality and effectiveness of the proposed model are verified by a real case. Finally, some recommendations and policy implications are also given.


2020 ◽  
Vol 10 (11) ◽  
pp. 306
Author(s):  
Kuo-Chen Li ◽  
Maiga Chang ◽  
Kuan-Hsing Wu

This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English learner. With the rapid development of information technology, digitized learning and voice communication is a possible solution. The goal of this research was to develop an innovative model to refine the task-based dialogue system, including natural language understanding, disassembly intention, and dialogue state tracking. To enable the dialogue system to find the corresponding sentence accurately, the dialogue system was designed with machine learning algorithms to allow users to communicate in a task-based fashion. Past research has pointed out that computer-assisted instruction has achieved remarkable results in language reading, writing, and listening. Therefore, the direction of the discussion is to use the task-oriented dialogue system as a speaking teaching assistant. To train the speaking ability, the proposed system provides a simulation environment with goal-oriented characteristics, allowing learners to continuously improve their language fluency in terms of speaking ability by simulating conversational situational exercises. To evaluate the possibility of replacing the traditional English speaking practice with the proposed system, a small English speaking class experiment was carried out to validate the effectiveness of the proposed system. Data of 28 students with three assigned tasks were collected and analyzed. The promising results of the collected students’ feedback confirm the positive perceptions toward the system regarding user interface, learning style, and the system’s effectiveness.


Author(s):  
Jesús Alcolea Banegas

RESUMENAnalizamos la problemática actual en torno a la demostración matemática, con particular énfasis en las ideas introducidas por las demostraciones asistidas por ordenador y por la llamada matemática experimental. Examinamos además la influencia que pueden tener estas ideas sobre el concepto de demostración y proponemos una caracterización atendiendo a las diferentes funciones que puede desempeñar la demostración en su vertientes explicativa, comunicativa, sistematizadora, como incrementadora de la comprensión de resultados y como transmisora de conocimiento y convicción. Finalmente, se ofrecen algunas conclusiones sobre problemas relacionados con la intuición, la lógica, la certeza, el conocimiento y el falibilismo, desde la perspectiva de las demostraciones, que favorecen una concepción cuasi-empirista de la matemática.PALABRAS CLAVEDEMOSTRACIÓN, DEMOSTRACIÓN ASISTIDA POR ORDENADOR, CONOCIMIENTO MATEMÁTICO, CUASI-EMPIRISMOABSTRACTThe present problems about mathematical proof are analyzed, putting the emphasis on the ideas introduced by the computer-assisted proofs and by the so-called experimental mathematics. In addition, the influence that those may have on the concept of proof is examined, and a characterization is proposed taking into consideration the functions that such a concept of proof may perform according to its different aspects as explanation, communication, systematization, as a way to increase undestading of results, and as a way to transmit knowledge and conviction. Finally, and from this perspective on proofs , some conclusions are offered about problems connected with intuition, logic, certinty, knowledge and falibilism, that favor a quasi-empirical view on mathematics.KEYWORDSPROOF, COMPUTER,-ASSITED PROOF, MATHEMATICAL KNOWLEDGE, QUASI-EMPIRICISM


2021 ◽  
Vol 12 ◽  
Author(s):  
Aurélie Miceli ◽  
Erika Wauthia ◽  
Laurent Lefebvre ◽  
Laurence Ris ◽  
Isabelle Simoes Loureiro

Perceptual experience through the five modalities (i.e., vision, hearing, touch, taste, and smell) has demonstrated its key role in semantics. Researchers also highlighted the role of interoceptive information in the grounded representation of concepts. However, to this day, there is no available data across these modalities in the French language. Therefore, the aim of this study was to circumvent this caveat. Participants aged between 18 and 50 completed an online survey in which we recorded scores of perceptual strength (PS), interoceptive information, imageability, concreteness, conceptual familiarity, and age of acquisition of 270 words of the French language. We also analysed the relationships between perceptual modalities and psycholinguistic variables. Results showed that vast majority of concepts were visually-dominant. Correlation analyses revealed that the five PS variables were strongly correlated with imageability, concreteness, and conceptual familiarity and highlight that PS variables index one aspect of the semantic representations of a word. On the other hand, high interoceptive scores were highlighted only for the less imageable and less concrete words, emphasizing their importance for the grounding of abstract concepts. Future research could use these norms in the investigation of the role of perceptual experience in the representation of concepts and their impact on word processing.


2009 ◽  
Author(s):  
András Lassó ◽  
Junichi Tokuda ◽  
Siddharth Vikal ◽  
Clare M Tempany ◽  
Nobuhiko Hata ◽  
...  

Various frameworks and toolkits have been proposed for rapid development of computer assisted intervention (CAI) software. In this paper, we investigate how the open-source 3D Slicer application framework can be used for this purpose. We defined common requirements for CAI software to evaluate and enhance 3D Slicer for interventional applications in general. 3D Slicer is found to be an appropriate end-user deployment environment for CAI software, as its built-in functions fulfill many requirements and missing functionalities can be conveniently added. We describe the implementation of a CAI software based on extending core 3D Slicer functions. Three enhancements are described in detail: the management of workflow, DICOM image transfer, and multiple views. The resulting software fulfills general CAI requirements and supports two different MRI-guided prostate biopsy systems (each with a different imaging mode, robotic manipulator and calibration method), thereby demonstrating the usability of Slicer for implementing different CAI applications.


2018 ◽  
Vol 25 (1) ◽  
pp. 43-67
Author(s):  
O. ZENNAKI ◽  
N. SEMMAR ◽  
L. BESACIER

AbstractThis work focuses on the rapid development of linguistic annotation tools for low-resource languages (languages that have no labeled training data). We experiment with several cross-lingual annotation projection methods using recurrent neural networks (RNN) models. The distinctive feature of our approach is that our multilingual word representation requires only a parallel corpus between source and target languages. More precisely, our approach has the following characteristics: (a) it does not use word alignment information, (b) it does not assume any knowledge about target languages (one requirement is that the two languages (source and target) are not too syntactically divergent), which makes it applicable to a wide range of low-resource languages, (c) it provides authentic multilingual taggers (one tagger forNlanguages). We investigate both uni and bidirectional RNN models and propose a method to include external information (for instance, low-level information from part-of-speech tags) in the RNN to train higher level taggers (for instance, Super Sense taggers). We demonstrate the validity and genericity of our model by using parallel corpora (obtained by manual or automatic translation). Our experiments are conducted to induce cross-lingual part-of-speech and Super Sense taggers. We also use our approach in a weakly supervised context, and it shows an excellent potential for very low-resource settings (less than 1k training utterances).


Author(s):  
Rohit M. Sane ◽  
Pradeep R. Jadhav

Background: The main pool of pharmacology practical teaching is formed by the use and demonstration of animal experiments. Animals have been used to demonstrate the effect of various drugs in experimental pharmacology classes, in the lab. The practical sessions in pharmacology training involving animal experiments are still taught by traditional teaching methods. Rapid development of information technology has led to newer trends in teaching and learning using Computer Assisted Learning (CAL). Keeping it in mind we decided to undertake this study to assess the perception of CAL in 2nd year MBBS students over conventional teaching in experimental pharmacology.Methods: This was an observational, questionnaire-based study. A total of hundred undergraduate MBBS (2nd year) students participated. Participants were first demonstrated an animal experiment by conventional teaching method followed by the same animal experiment demonstration on CAL. Students’ feedback was recorded on a questionnaire and analyzed.Results: The mean age of the participants was 19.88±1.28 years. The study overall observed that 62% preferred CAL to conventional (38%). Majority of the participants’ thought CAL (63%) helps to understand better over conventional (28%) and that CAL (63%) is time independent over conventional (28%). More than 85% felt that CAL was more explanatory and provided a better learning experience.Conclusions: Students preferred CAL to conventional teaching, in experimental pharmacology. It also provided insight on perception and experience of students towards CAL for experimental pharmacology. However, further studies are warranted to assess the knowledge, cognitive and psychomotor skills of students.


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