Performance evaluation of an intelligent multimedia learning assistant platform

Huang, Chenn‐Jung; Chang, Shun-Chih; Chen, Heng-Ming; Chen, Chao-Yi

doi:10.1109/fie.2014.7044191

Cited by 1 publication

(1 citation statement)

References 20 publications

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“…Jill Watson (Goel & Polepeddi, 2016), Nicky (Kincaid & Pollock, 2017), Maria (Rajagopal & Babu, 2018) PseduoEye (Daraghmi & Yosef, 2016), LABTA (Yang, 2010), BoBi (Liu & Zhu, 2017), Project Nethra (Weeratunga, Jayawardana, Hasindu, Prashan, & Thelijjagoda, 2015), LiSa (Dibitonto, Leszczynska, Tazzi, & Medaglia, 2018), and Scarlet (Ilhan, Music, Junuz, & Mirza, 2017) are some of the SPDAs specifically designed for educational purposes. There are also studies (Bravo, Paliyawan, Harada, & Thawonmas, 2017;Huang, Chang, Chen, & Chen, 2014;Lv & Li, 2015) that use the body-motion preference systems such as eye-tracking, kinect and VR headsets. In two studies (Bogdan, Yurchenko, Bailo, Rameau, Yoo, & Kweon, 2017;Bouloutian & Kim, 2014) the SPDAs are integrated to wearable technologies.…”

Section: Game-related Findingsmentioning

confidence: 99%

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: Game-related Findingsmentioning

confidence: 99%

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

Sezgin¹

2020

Turkish Online Journal of Distance Education

View full text Add to dashboard Cite

show abstract

Performance evaluation of an intelligent multimedia learning assistant platform

Cited by 1 publication

References 20 publications

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

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

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