A survey for the evolution of adaptive learning in mobile and electronic devices

Matzavela, Vasiliki; Alepis, Efthimios

doi:10.1109/iisa.2017.8316433

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…In implementing this model, the teacher needs a development design framework using mobile learning technology so that it can be used effectively (Trongtortam, 2017). Developing online learning designs must be more adaptive to the devices preferred by students (Matzavela, 2017). Design development requires the implementation of strong IT leadership to help bridge the gap between student expectations and learning experiences (Dahlstrom & Bichsel, 2014).…”

Section: Model Design Developmentmentioning

confidence: 99%

Integration of Mobile Learning and Project-Based Learning in Improving Vocational School Competence

Sugiyanto¹,

Setiawan²,

Hamidah³

et al. 2020

JTET

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Section: Model Design Developmentmentioning

confidence: 99%

Integration of Mobile Learning and Project-Based Learning in Improving Vocational School Competence

Sugiyanto¹,

Setiawan²,

Hamidah³

et al. 2020

JTET

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M-learning in the COVID-19 era: physical vs digital class

Matzavela

Alepis

2021

Educ Inf Technol

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Emerging technologies, such as the development of the Internet of Things and the transition to smart cities, and innovative handheld devices have led to big changes in many aspects of our lives, while more changes were imminent. Education is also a sector that has undergone huge changes due to the spreading of those devices. Even at the era of feature phones, it started to become clear that portable devices with access to the internet can be used for learning. The process of learning with the use of mobile phones was then in an early stage, due to the limitations of feature phones. Whereas, with the introduction of smartphones, education is expected to be drastically altered in the future, in most parts of the world. New, radical, and controversial in some cases, approaches have been developed, over the past years, in an effort to implement a mobile learning process in real life conditions. Intelligent tutoring systems have had rapid growth, especially in the COVID-19 era, while a significant increase in online courses via social networks has also been noted. This paper focuses on presenting the most important research parameters of m-learning during the last decade, while it also incorporates a novel empirical study in the domain. The utilization of educational data has been taken into consideration and is presented, aiming at ways to improve human interaction in the digital classroom.

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An application of self-assessment of students in mathematics with intelligent decision systems: questionnaire, design and implementation at digital education

Matzavela

Alepis

2023

Educ Inf Technol

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During the last decade an eruptive increase in the demand for intelligent m-learning environments has been observed since instructors in the online academic procedures need to ensure reliability. The research for decision systems seemed inevitable for flexible and effective learning in all levels of education. The prediction of the performance of students during their final exams is considered as a difficult task. In this paper, an application is presented, contributing to an accurate prediction which would assist educators and learning experts in the extraction of useful knowledge for designing learning interventions with enhanced outcomes.

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A survey for the evolution of adaptive learning in mobile and electronic devices

Cited by 4 publications

References 12 publications

Integration of Mobile Learning and Project-Based Learning in Improving Vocational School Competence

Integration of Mobile Learning and Project-Based Learning in Improving Vocational School Competence

M-learning in the COVID-19 era: physical vs digital class

An application of self-assessment of students in mathematics with intelligent decision systems: questionnaire, design and implementation at digital education

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