Effect of Domestic Trainee Robots’ Errors on Human Teachers’ Trust

2021 ◽  
Author(s):  
Pourya Aliasghari ◽  
Moojan Ghafurian ◽  
Chrystopher L. Nehaniv ◽  
Kerstin Dautenhahn
Keyword(s):  
Human Teachers

scholarly journals Rethinking the Roles of English Lecturers in the Digital Era

2020 ◽  
Vol 4 (2) ◽  
pp. 137
Author(s):  
Disa Evawani Lestari
Keyword(s):  
Online Learning ◽  
Rapid Development ◽  
Immediate Feedback ◽  
Online Questionnaire ◽  
Study Program ◽  
Content Expert ◽  
Technology Advancement ◽  
Study Programs ◽  
Social Media Platforms ◽  
Human Teachers

<p>Along the era of rapid technology advancement on the performance of <em>Artificial I</em></p><p>Along with the era of rapid technology advancement on the performance of <em>Artificial Intelligence</em> (henceforth AI), there have been intense discussions and debates among educationists about the future of human teachers and AI teachers. When information can be accessed easily amidst the rapid development of online learning, it is intriguing to listen to students’ perspectives on the roles they expect from their teachers, especially in learning English subjects, when abundant resources are available and accessible online within their fingertips in social media platforms and online learning websites. In short, to identify what cannot be fulfilled online. To serve that purpose, 160 students from a private university in Indonesia were recruited as research participants. They are from 16 different study programs recruited as participants through a purposive sampling method to see if findings are bound to study program types. Data were collected through an online questionnaire and an interview. The results indicated that the students perceive their teachers as someone to guide their learning by providing good online resources and immediate feedback rather than expecting their teachers to be a content expert or to have a linguistic performance like native teachers.</p>

scholarly journals Reports of the AAAI 2009 Spring Symposia

AI Magazine ◽  
2009 ◽  
Vol 30 (3) ◽  
pp. 89
Author(s):  
Jie Bao ◽  
Uldis Bojars ◽  
Ranzeem Choudhury ◽  
Li Ding ◽  
Mark Greaves ◽  
...  
Keyword(s):  
Human Behavior ◽  
Predictive Analytics ◽  
Temporal Reasoning ◽  
Behavior Modeling ◽  
Event Processing ◽  
Human Behavior Modeling ◽  
Reasoning Systems ◽  
Learning By Reading ◽  
Human Teachers ◽  
Social Semantic Web

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, was pleased to present the 2009 Spring Symposium Series, held Monday through Wednesday, March 23–25, 2009 at Stanford University. The titles of the nine symposia were Agents that Learn from Human Teachers, Benchmarking of Qualitative Spatial and Temporal Reasoning Systems, Experimental Design for Real-World Systems, Human Behavior Modeling, Intelligent Event Processing, Intelligent Narrative Technologies II, Learning by Reading and Learning to Read, Social Semantic Web: Where Web 2.0 Meets Web 3.0, and Technosocial Predictive Analytics. The goal of the Agents that Learn from Human Teachers was to investigate how we can enable software and robotics agents to learn from real-time interaction with an everyday human partner. The aim of the Benchmarking of Qualitative Spatial and Temporal Reasoning Systems symposium was to initiate the development of a problem repository in the field of qualitative spatial and temporal reasoning and identify a graded set of challenges for future midterm and long-term research. The Experimental Design symposium discussed the challenges of evaluating AI systems. The Human Behavior Modeling symposium explored reasoning methods for understanding various aspects of human behavior, especially in the context of designing intelligent systems that interact with humans. The Intelligent Event Processing symposium discussed the need for more AI-based approaches in event processing and defined a kind of research agenda for the field, coined as intelligent complex event processing (iCEP). The Intelligent Narrative Technologies II AAAI symposium discussed innovations, progress, and novel techniques in the research domain. The Learning by Reading and Learning to Read symposium explored two aspects of making natural language texts semantically accessible to, and processable by, machines. The Social Semantic Web symposium focused on the real-world grand challenges in this area. Finally, the Technosocial Predictive Analytics symposium explored new methods for anticipatory analytical thinking that provide decision advantage through the integration of human and physical models.

scholarly journals Is an Artificial Teacher Possible?

TECHNOLOGOS ◽  
2020 ◽  
pp. 40-55
Author(s):  
Alekseeva Ekaterina
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Actor Network Theory ◽  
Critical Approach ◽  
Philosophical Perspective ◽  
Artificial Intelligence In Education ◽  
Points Of View ◽  
Human Teachers ◽  
And Training

The article is devoted to the urgent problem – the prospect of partial or complete substitution of teachers for artificial intelligence. With the progress of technologies related to the artificial intelligent systems development the reality of such substitution is estimated as increasing one. At the same time, even the potential substitution of human teachers for artificial intelligence and robotics raises zillion of questions which should be considered from different points of view: cognitive, social, technological, etc. The philosophical perspective provides a reflective integration of these points of view. The most prominent contemporary projects of using artificial intelligence in education have been revealed in the article. The types of intelligent systems used in education are systematized. It is shown that all of them have a different degree of anthropology. Primarily cognitive aspects of the problem of artificial intelligence in education have been considered in the article. The connection of ideas about the possibility of teachers’ substitution for the artificial systems with various approaches to understanding the key principles of education and training is investigated. At the same time, there is a socially critical approach showing that the substitution of teachers for the artificial intellectual systems is a component of cognitive capitalism. The author of the article proposes to reformulate the problem and consider the use of artificial intelligence in education not as a substitutional but as a supplementing technology. This means that artificial systems assume certain functions working in symbiosis with a human teacher and partly playing the role of a tutor. Using the actor-network theory and the ontology of assemblages, referring to the cyberand xenofeminist interpretation of the concept of "cyborg" the author shows that the teacher together with the artificial intelligence can form a human-machine system. In this case artificial intelligence shows emancipation potential but not alienating one.

The Application of AI Teachers in Facilitating Game-Based Literacy Learning

2022 ◽  
pp. 381-395
Author(s):  
Yixun Li ◽  
Lin Zou
Keyword(s):  
Artificial Intelligence ◽  
Scientific Community ◽  
Empirical Studies ◽  
Scientific Research ◽  
Literacy Learning ◽  
Research Area ◽  
Classroom Teaching ◽  
Theoretical Frameworks ◽  
Key Concepts ◽  
Human Teachers

This chapter discusses the theoretical frameworks for artificial intelligence (AI) teachers and how AI teachers have been applied to facilitate game-based literacy learning in existing empirical studies. While the application of artificial intelligence (AI) in education is a relatively emerging research area, it has received increasing attention in the scientific community. In the future, AI teachers are likely to be able to serve as powerful supplementary tools in classroom teaching in support of human teachers. The main goal here is to provide the readers with new insights on promoting game-based literacy learning from the perspectives of AI teachers. To this end, the authors introduce the readers to the key concepts of AI teachers, the merits and demerits of AI teachers in education, scientific research on AI teachers in literacy learning, and some highlighted examples of AI teachers in literacy classrooms for practical concerns.

scholarly journals DESIGN OF THE PEDAGOGICAL MODULE FOR AN EMOTIONALLY INTELLIGENT TUTORING SYSTEM / PEDAGOGINIO MODULIO EMOCIJAS SUPRANTANČIAI MOKYMO SISTEMAI KŪRIMAS

2014 ◽  
Vol 6 (2) ◽  
pp. 138-146 ◽  
Author(s):  
Sintija Petrovica
Keyword(s):  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Point Of View ◽  
Tutoring System ◽  
Tutoring Systems ◽  
Emotional Component ◽  
Human Teachers ◽  
New Generation ◽  
Emotionally Intelligent

Since 1970-ties the research is being carried out for the development of intelligent tutoring systems (ITS) that aretrying to imitate human-teachers and their teaching methods. However, over the last decade researchers inspired by the closerelationship between emotions and learning have been working on the addition of an emotional component to human-computerinteraction. This has led to creation of a new generation of intelligent tutoring systems – emotionally intelligent tutoring systems(EITS). Despite the research carried out so far, a problem how to adapt tutoring not only to a student’s knowledge state butalso to his/her emotional state has been disregarded. The paper presents study on how to use the determined student’s emotionalstate further in order to change behaviour of the intelligent tutoring system looking from the pedagogical point of view and toimplement this as a part of the pedagogical module. The architecture of the planned tutoring system that adapts the tutoring bothto student’s emotions and knowledge is also described in the paper. Straipsnyje nagrinėjami klausimai, susiję su informacijos apienustatytą studento emocinę būklę taikymu sumaniosios mokymosistemos elgsenai keisti, taip pat emocinės būklės poveikis mokymoprocesui pedagoginiu požiūriu. Siūlomas pedagoginiamsaspektams įgyvendinti specializuotas informacinės sistemosmodulis. Parodoma pedagoginio modulio vieta sumaniosiosmokymo sistemos, pritaikančios mokymo procesą konkretausstudento žinių ir emociniam lygmenims, architektūroje.

School-wide positive behaviour support as evidence-making interventions

2021 ◽  
pp. 003452372110348
Author(s):  
Tim Corcoran ◽  
Matthew Krehl Edward Thomas
Keyword(s):  
Implementation Science ◽  
Evidence Based ◽  
Disciplinary Actions ◽  
Tiered Approach ◽  
Human Data ◽  
School Based ◽  
Teachers And Students ◽  
Positive Behaviour Support ◽  
Human Teachers ◽  
Do So

Global implementation of School-Wide Positive Behaviour Support (SWPBS) has grown considerably over the last forty years. SWPBS seeks to provide a multi-tiered approach to strategically frame integrated actions responding to matters of wellbeing, discipline and punishment in schools using Evidence-Based Interventions (EBIs). In this respect, EBIs rely on what are presumed to be value-free, reliably generated data which direct the selection, implementation and monitoring of SWPBS in schools. The paper begins by exploring how SWPBS is understood via implementation science. Following an outline of standard SWPBS EBI practice, discussion turns to instead consider this work as Evidence-Making Interventions (EMIs). To do so, first we outline how our before-the-fact anticipations influence relationships and disciplinary actions as they are realised in schools through EBIs. Our focus then turns to explain how SWPBS interventions, using multi-tiered systems of support and technology as examples, might be understood and enacted differently if engaged as EMIs. In conclusion, school-based relationships are subsequently reconsidered as a confluence of human (teachers and students) and non-human (data and policy) liaisons always and already subject to each other’s next move.

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