Robot Teaching, Pedagogy, and Policy

2020 ◽  
pp. 787-803
Author(s):  
Elana Zeide
Keyword(s):  
Artificial Intelligence ◽  
Analytical Methods ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning Systems ◽  
Policy Decisions ◽  
Public Discussion ◽  
Teaching Pedagogy ◽  
Do So

This chapter looks at the use of artificial intelligence (AI) in education, which immediately conjures the fantasy of robot teachers, as well as fears that robot teachers will replace their human counterparts. However, AI tools impact much more than instructional choices. Personalized learning systems take on a whole host of other educational roles as well, fundamentally reconfiguring education in the process. They not only perform the functions of robot teachers but also make pedagogical and policy decisions typically left to teachers and policymakers. Their design, affordances, analytical methods, and visualization dashboards construct a technological, computational, and statistical infrastructure that literally codifies what students learn, how they are assessed, and what standards they must meet. However, school procurement and implementation of these systems are rarely part of public discussion. If they are to remain relevant to the educational process itself, as opposed to just its packaging and context, schools and their stakeholders must be more proactive in demanding information from technology providers and setting internal protocols to ensure effective and consistent implementation. Those who choose to outsource instructional functions should do so with sufficient transparency mechanisms in place to ensure professional oversight guided by well-informed debate.

The Samarin Family and the Parish Question in the Russian Empire. 1860s–1910s

2019 ◽  
Vol 54 ◽  
pp. 235-246
Author(s):  
Alexey L. Beglov
Keyword(s):  
Twentieth Century ◽  
Russian Empire ◽  
Public Discussion ◽  
The Public ◽  
The Social ◽  
Church Life ◽  
The Russian Empire ◽  
In The Beginning ◽  
The Church ◽  
Do So

The article examines the contribution of the representatives of the Samarin family to the development of the Parish issue in the Russian Empire in the late 19th and early 20th centuries. The issue of expanding the rights of the laity in the sphere of parish self-government was one of the most debated problems of Church life in that period. The public discussion was initiated by D.F. Samarin (1827-1901). He formulated the “social concept” of the parish and parish reform, based on Slavophile views on society and the Church. In the beginning of the twentieth century his eldest son F.D. Samarin who was a member of the Special Council on the development the Orthodox parish project in 1907, and as such developed the Slavophile concept of the parish. In 1915, A.D. Samarin, who took up the position of the Chief Procurator of the Most Holy Synod, tried to make his contribution to the cause of the parish reforms, but he failed to do so due to his resignation.

Design of English reading and learning management system in college education based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Fen Zhang ◽  
Min She
Keyword(s):  
Artificial Intelligence ◽  
Model Performance ◽  
College Education ◽  
Personalized Learning ◽  
Learning System ◽  
Model Function ◽  
English Reading ◽  
Function Modules ◽  
Learning Platforms ◽  
Learning Management

English reading learning in college education is an efficient means of English learning. However, most of the current English reading learning platforms in colleges and universities only put different English books on the platform in electronic form for students to read, which leads to blindness of reading. Based on artificial intelligence algorithms, this paper builds model function modules according to the needs of English reading and learning management in college education and implements system functions based on artificial intelligence algorithms. Moreover, according to the above design principles of personalized learning model and the characteristics of personalized network learning, this paper designs a personalized learning system based on meaningful learning theory. In addition, this article verifies and analyzes the model performance. The research results show that the model proposed in this paper has a certain effect.

scholarly journals A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

2021 ◽  
Author(s):  
Daniel Auge ◽  
Julian Hille ◽  
Etienne Mueller ◽  
Alois Knoll
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Industrial Applications ◽  
Spiking Neural Networks ◽  
Biologically Inspired ◽  
Power Efficient ◽  
Signal Encoding ◽  
Uniform Nomenclature ◽  
Theoretical Foundations ◽  
Do So

AbstractBiologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes.

scholarly journals Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 18
Author(s):  
Pantelis Linardatos ◽  
Vasilis Papastefanopoulos ◽  
Sotiris Kotsiantis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Black Box ◽  
Learning Systems ◽  
Model Complexity ◽  
Learning Models ◽  
New Methods ◽  
Industrial Adoption ◽  
Machine Learning Models ◽  
The Way

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into “black box” approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.

Pre-Service Secondary Teacher Education Programme: Some Concerns of Sustainability

2021 ◽  
pp. 29-37
Author(s):  
Indrajeet Dutta
Keyword(s):  
Teacher Education ◽  
Teacher Educators ◽  
Education Programme ◽  
Secondary Teacher ◽  
Community Based ◽  
Teacher Education Programme ◽  
Teaching Pedagogy ◽  
Secondary Teacher Education ◽  
Do So

With the onset of a new academic session, teacher education programmes across the county will be in a new avatar. The revamping of a teacher education programme has been on the cards for several years but stiff resistance from different quarters of the educational community made it impossible to do so. The revised secondary teacher education programme is new in several counts. Firstly, curricular areas have been made more contextual, class, student and community based. Secondly, teaching pedagogy has been made more child centred, experiential and reflective. Thirdly, internship model has been introduced giving more thrust on acquisition of skills and competencies in actual classroom and real settings rather than artificial settings. But, the reform has brought several challenges in its realm which teacher education programmes and institutes have to face. The present paper deals with the new challenges like demand for teacher education programmes, the role of private teacher education institutes and their increasing focus on commercialization, demand for teacher educators and whether the new system is pro-rich or pro-poor student etc.

scholarly journals Control Strategies and Artificial Intelligence in Rehabilitation Robotics

AI Magazine ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 23-33 ◽  
Author(s):  
Domen Novak ◽  
Robert Riener
Keyword(s):  
Artificial Intelligence ◽  
Control Strategies ◽  
Rehabilitation Robotics ◽  
Control Algorithms ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Rehabilitation Robots ◽  
Exercise Adaptation ◽  
Dominant Paradigm ◽  
Do So

Rehabilitation robots physically support and guide a patient's limb during motor therapy, but require sophisticated control algorithms and artificial intelligence to do so. This article provides an overview of the state of the art in this area. It begins with the dominant paradigm of assistive control, from impedance-based cooperative controller through electromyography and intention estimation. It then covers challenge-based algorithms, which provide more difficult and complex tasks for the patient to perform through resistive control and error augmentation. Furthermore, it describes exercise adaptation algorithms that change the overall exercise intensity based on the patient's performance or physiological responses, as well as socially assistive robots that provide only verbal and visual guidance. The article concludes with a discussion of the current challenges in rehabilitation robot software: evaluating existing control strategies in a clinical setting as well as increasing the robot's autonomy using entirely new artificial intelligence techniques.

scholarly journals The system of personalized instruction in school education: problems of implementation and adaptation

2020 ◽  
pp. 142-152
Author(s):  
Polina O. Kraynova ◽  
Alexey S. Obukhov
Keyword(s):  
General Education ◽  
Personal Characteristics ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning System ◽  
High Quality Research ◽  
Global Trends ◽  
Learning Platform ◽  
The Usa ◽  
The Individual

In the context of global trends in the humanization of education, issues of differentiation, individualization and personalization of education are actively discussed. At the same time, the key question remains – how to preserve the individual capabilities, interests and needs of each student while maintaining collective learning formats? How to take into account the personal characteristics and capabilities of each when passing and mastering general education programs? One such solution was the PCBL personalized learning platform developed in the USA. Currently, the Khoroshevskaya school is introducing and adapting this platform to the Russian conditions of education. The article examines the specific case of implementing a system of personalized competency-based education in a separate school – what problems, barriers and difficulties are encountered in its implementation. The study is built in the logic of qualitative research on the basis of high-quality research interviews with the main participants in the educational process in the context of introducing a personalized learning system.

scholarly journals Expert-analytical Support of Foreign Policy Activities

2021 ◽  
Vol 14 (5) ◽  
pp. 22-48
Author(s):  
A. A. Varfolomeev ◽  
O. P. Ivanov ◽  
I. V. Surma ◽  
Y. A. Trefilova
Keyword(s):  
Artificial Intelligence ◽  
Foreign Policy ◽  
Foreign Affairs ◽  
Decision Making Process ◽  
Policy Decisions ◽  
The Russian Federation ◽  
Detailed Interpretation ◽  
Two Stages ◽  
Expert Community

The article presents the final results of the project studying the system of expert and analytical support for foreign policy decisions. The project is devoted to conducting a survey and a set of interviews with employees of government bodies (leaders and chief specialists) who are involved in the process of preparing and making foreign policy decisions. The article contains the officials’ assessment of the main challenges when interacting with the scientific and expert community, as well as a "desired image" of such interaction.The study was held in two stages (stage I in February-October 2020, stage II-in January-August 2021) in the form of a survey with a set of follow-up interviews for a more detailed interpretation of the data obtained. The interviewees included 24 employees of federal executive bodies (the Ministry of Foreign Affairs of Russia and Rossotrudnichestvo; departments of international cooperation of line ministries, agencies and services); offices of the chambers of the Federal Assembly of the Russian Federation (departments providing international and inter-parliamentary cooperation). All participants of the study are in positions of the "managers" category or are part of the group of "chief specialists", that is, they have experience in decision-making process and/or in elaborating them. The survey and interviews were anonymous. The research is within structural-functional, institutional and regulatory approaches. The authors note that informational materials with low level of generalization and lacking recommendations and forecasts will never replace genuine analytics and expertise. Given the development of artificial intelligence, generalizing information will be automatized. As a result, expertise has to be of better quality.

scholarly journals The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

2020 ◽  
Vol 8 (SPE2) ◽  
Author(s):  
Mikhail V. Vinichenko ◽  
◽  
Marina V. Rybakova ◽  
Marina V. Vinogradova ◽  
Maksim A. Malyshev ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Digital Economy ◽  
Educational Process
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