Technology Renovates Itself: Key Concepts on Intelligent Personal Assistants (Ipas)

Bozkurt, Aras; Goksel, Nil

doi:10.21125/edulearn.2018.1082

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…It can be argued that the current significant fields for the use of the SPDAs are dominantly e-learning and special education. Parallel with the findings of a related research, SPDA use in any field of education is a promising emerging research area (Bozkurt & Goksel, 2018) in line with technological breakthrough.…”

Section: Figure 4 Genres Of the Studies Reviewedmentioning

confidence: 65%

“…There are not so many studies that reviews the existing literature about the SPDAs. In Bozkurt and Goksel's (2018) comprehensive review, the intelligent personal assistants (IPAs) were reviewed, and some of the key concepts about IPAs were identified by examining 34 years of IPA research. The study also emphasized the educational use of the IPAs.…”

Section: Gathering Daily Life Analytics From Learners Via Games: Robomentioning

confidence: 99%

“…The study also emphasized the educational use of the IPAs. It was concluded that artificial intelligence is a core concept in the IPA research and that the IPAs emerge as a promising research area for educational settings by increasing the degree of perceived social presence (Bozkurt & Goksel, 2018).…”

Section: Gathering Daily Life Analytics From Learners Via Games: Robomentioning

confidence: 99%

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From Robo-Sapiens to Robo-Ludens: Re-Thinking Future Learning With Smart Personal Digital Playmates

Sezgin¹

2020

Turkish Online Journal of Distance Education

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This systematic review investigates two foci: identifying the ongoing status of smart personal digital assistants in educational contexts and the possible relationship between smart personal digital assistants and gamification elements. This relationship is expressed in almost two new figurative terms, namely, robosapiens and robo-ludens and the present study lays on the foundations of these terms. Therefore, this paper presents a holistic approach for the review and synthesis of the previous literature. The data of the study were gathered based on the findings reported in the related research articles, conference papers, dissertations, book chapters and project reports by focusing on 9 sets of generic keywords. As a part of this study, smart personal digital assistants in learning processes were scanned purposively in the lens of gamification. To this end, a two step inclusion criteria was implemented to review the studies of the research scope. Content analysis was the main method used for data analysis. The research findings revealed the most significant fields for the use of smart personal digital assistants are dominantly e-learning and special education. The research also discusses game-related components in smart personal digital assistant use in edu-centric purposes.

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Section: Figure 4 Genres Of the Studies Reviewedmentioning

confidence: 65%

Section: Gathering Daily Life Analytics From Learners Via Games: Robomentioning

confidence: 99%

Section: Gathering Daily Life Analytics From Learners Via Games: Robomentioning

confidence: 99%

See 1 more Smart Citation

From Robo-Sapiens to Robo-Ludens: Re-Thinking Future Learning With Smart Personal Digital Playmates

Sezgin¹

2020

Turkish Online Journal of Distance Education

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“…Conversational Agents can act as an interface allowing people to access to information and services in real time through platform systems rather than by means of humans [22]. It can facilitate the human-machine interaction through the execution of different tasks such as to search answer and respond to queries based on user requests and can let users become active participants [25]. Computer programs, able to understand natural language and perform tasks, simulate conversation between humans giving the impression to the user to talk to someone else [26].…”

Section: Network Communication and E-services Delivery Platforms For mentioning

confidence: 99%

A Spell Checking Web Service API for Smart City Communication Platforms

Barletta¹,

Caivano²,

Nannavecchia³

et al. 2019

OJAppS

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The Internet of Things becomes Internet of Everything when in the process of communication machine-to-machine also intelligent forms of communication between human and machine are involved. Cities can be viewed as a microcosm of this interconnected system where ICT and emerging technologies can be enabling factors to transform cities in Smart Cities. Cities can take great advantage by using information intelligence to achieve important public-policy goals and, in particular, by enabling network communication channels between citizens and public administrators in order to provide information and online services in real time through platform systems rather than by means of humans, using Artificial Intelligence and Natural Language Processing techniques. This work was the first step of a wider project aimed at providing a Spell Checking Web Service API for Smart City communication platforms able to automatically select, among the large availability of open source spell checking tools, the most suitable tool based on the semantic structure of the specific textual data. The system should manage an enhanced Italian Vocabulary Database, specifically implemented to support all the tools of the system. The goal of the present work was to test, through an experimental research, the feasibility of the entire project by implementing a Spell Checking Prototype System designed to manage two selected spell checking tools. Results showed that the Spell Checking Prototype System significantly improves performances by allowing the user to select the most suitable tool for the specific semantic structure of the text. The system also enables to manage the list of exceptions, which continuously enhance the Italian Vocabulary Database. The experimentation proved scientific evidence of the validity of the project aimed at implementing a Spell Checking Web Service API in order to improve the quality of natural language data to be stored or processed in Smart City NCeSDP systems, through the use of existing spell checking tools.

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