AI Injected e-Learning

Montebello, Matthew

doi:10.1007/978-3-319-67928-0

Cited by 33 publications

(19 citation statements)

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“…AI can play a crucial role in e-learning with more personalization and improved learning outcomes. (Laanpere et al , 2014; Luckin et al , 2016; Mayer-Schönberger and Cukier, 2014; Montebello, 2017) have contributed in understanding how AI can help in enhancing learning in students and management. Computer-assisted learning (CAL) is yet another field to help students learn efficiently using technology and AI (Schittek Janda et al , 2001).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

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Understanding user perception toward artificial intelligence (AI) enabled e-learning

Kashive¹,

Powale²,

Kashive³

2020

IJILT

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PurposeThe purpose of this study is to explore the perception of the users concerning the role of artificial intelligence (AI) in enhancing personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE) and their effect on the perceived ease of use, perceived effectiveness and perceived usefulness for enhancing the overall attitude and satisfaction of the e-learning.Design/methodology/approachThe data were collected from students and professionals who have ever used the e-learning module, and smart partial least square-structural equational modeling (PLS-SEM) is used to see relations between the different variables.FindingsIt was seen that the PLE is affecting both perceived ease of use and perceived usefulness. The research has shown that perceived ease of use showed a mediating effect between PLE and attitude and satisfaction. Further satisfaction mediates between perceived ease of use and intention. PLP has come out to significantly impacting perceived effectiveness. The multigroup analysis also showed that the attitude and satisfaction level affecting intention to use the e-learning module differ across the two groups of learners, i.e. gender and type of learners.Research limitations/implicationsThe data are collected from students and professionals who have ever used the e-learning module and wholly based on their perceptions, leading to self-perception bias.Originality/valueThe current research is trying to integrate the user perception of PLP, PLN, PLE into the framework of the technology acceptance model and see how they impact the overall attitude and satisfaction of the learners. AI can be used to improve them and make e-learning more adherent to the users. AI can play an essential role in generating the right environment by matching the profile of the learner.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

“…Computer-assisted learning (CAL) is yet another field to help students learn efficiently using technology and AI (Schittek Janda et al , 2001). Studies like (Luckin et al , 2016; Montebello, 2017) have shown that the learning process can be improved by using artificial intelligence applied to education (AIEd).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Understanding user perception toward artificial intelligence (AI) enabled e-learning

Kashive¹,

Powale²,

Kashive³

2020

IJILT

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“…Moreover, output needs to be delivered in a timely fashion. Montebello (2018) puts forward three models which can assist, namely:…”

Section: Taking the Next Stepmentioning

confidence: 99%

“…Its roots can be traced back to the 18 th century whereby material was distributed to students, not in close proximity to the teaching source, via post (Montebello M. , 2018). This idea evolved over the years and the use of the Internet facilitated distribution.…”

Section: Introductionmentioning

confidence: 99%

Crowdsourced Recommender System

Milanes

Montebello

2018

Proceedings of the 4th International Conference on Higher Education Advances (HEAd'18)

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“…The ideology behind the adaptive learning theory has long been followed [20] as educational psychologists [21] and learning theorists [22] have long argued in favour of personalized one-to-one instruction that the educator can optimally customize and adapt to the needs, interests and benefits of the learner. Students do possess their own learning approaches that work better for them [23] and that such an adaptation process potentially enhances their motivation [24] and satisfaction [25]. Studies [26] have shown that higher education bodies have embraced the concept as they have realized that the academic benefits can assist in the overall success of the institution.…”

Section: Adaptive Learning and Learner Profilingmentioning

confidence: 99%

The AmI Classroom from a Technological Perspective

Montebello¹

2018

ijlt

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The use of technology within an educational setting is well documented and notoriously recognized within the academic community. The application of ambient intelligence to a classroom setting offers novel and intrinsically distinctive outcomes that require meticulous investigation and thorough analysis. We ground the concept of an ambient intelligent classroom upon established learning theories as we propose an academic framework to accurately and systematically position such a technology within a pedagogical neutral environment. The focus is mainly on the technological aspect as one of a number of dimensions that form part of our conceptual framework. The article investigates how technology-enhanced learning embellishes higher education, as we present and discuss a number of requirements that every technological aspect within the middleware is required to abide with. We employ these guidelines and best practices within a threedimensional model based on a social, educational and technological aspect, that collectively contribute to the successful implementation of our ambient intelligent classroom. We also discuss future directions as we ground our work on the adaptive learning theory together with the adoption of learner profiling techniques. These enabled us to identify areas of interest and focus to pose recommendations that could potentially characterize the future of ambient intelligent classrooms. 

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AI Injected e-Learning

Cited by 33 publications

References 0 publications

Understanding user perception toward artificial intelligence (AI) enabled e-learning

Understanding user perception toward artificial intelligence (AI) enabled e-learning

Crowdsourced Recommender System

The AmI Classroom from a Technological Perspective

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