FuzzyQoI model: A fuzzy logic-based modelling of users' quality of interaction with a learning management system under blended learning

Dias, Sofia B.; Diniz, José Alves

doi:10.1016/j.compedu.2013.06.016

Cited by 55 publications

(86 citation statements)

References 26 publications

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“…By contrast, with the rapid development of artificial intelligence and internet technology, online massive individualized education becomes possible, educational interactions can be controlled by system with an acceptable cost. Researches on providing adaptive learning materials with different learning styles in online learning environment [23] and employing fuzzy logic to determine users' quality of interaction [24] indicates the key success factors could be different between online and traditional offline classroom, demonstrating the potential of new technology.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Efficiency of Massive Online Learning by Integrating Intelligent Analysis into MOOCs with an Application to Education of Sustainability

Zhou

2018

Sustainability

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Massive Open Online Courses (MOOCs) is an innovative method in modern education, especially important for autonomous study and the sharing of global excellent education resources. However, it is not easy to implement the teaching process according to the specific characters of students by MOOCs because the number of participants is huge and the teacher cannot identify the characters of students through a face to face interaction. As a new subject combined with different areas, such as economics, sociology, environment, and even engineering, the education of sustainability-related courses requires elaborate consideration of individualized teaching for students from diverse backgrounds and with different learning styles. Although the major MOOC platforms or learning management systems (LMSs) have tried lots of efforts in the design of course system and the contents of the courses for sustainability education, the achievements are still unsatisfied, at least the issue of how to effectively take into account the individual characteristics of participants remains unsolved. A hybrid Neural Network (NN) model is proposed in this paper which integrates a Convolutional Neural Networks (CNN) and with a Gated Recurrent Unit (GRU) based Recurrent Neural Networks (RNN) in an effort to detect individual learning style dynamically. The model was trained by learners' behavior data and applied to predicting their learning styles. With identified learning style for each learner, the power of MOOC platform can be greatly enhanced by being able to offer the capabilities of recommending specific learning path and the relevant contents individually according to their characters. The efficiency of learning can thus be significantly improved. The proposed model was applied to the online study of sustainability-related course based on a MOOC platform with more than 9,400,000 learners. The results revealed that the learners could effectively increase their learning efficiency and quality for the courses when the learning styles are identified, and proper recommendations are made by using our method.

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Section: Introductionmentioning

confidence: 99%

Enhancing the Efficiency of Massive Online Learning by Integrating Intelligent Analysis into MOOCs with an Application to Education of Sustainability

Zhou

2018

Sustainability

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“…Some were positive, while others felt e-learning did not suit their preferred learning style, or the subject matter. 3 articles evaluated the specific instruments in blended learning environment [45]- [47]. Akkoyunlu and Yılmaz-Soylu [45] extended the evaluation of learners' views on blended learning and its implementation process by developing and validating an objective assessment instrument.…”

Section: Discussionmentioning

confidence: 99%

“…Barnard, et al [46] provided evidence toward the reliability and validity of the instrument and indicated that the OSLQ is an acceptable measure of self-regulation in the online and blended learning environments. Dias and Diniz [47] introduced a new model, namely FuzzyQoI, that, by employing fuzzy logic constructs, it quantitatively estimates the users' (professors' and students') QoI with the LMS Moodle within a b-learning environment. 3 articles highlighted the issues or problems to be considered [48]- [50].…”

Section: Discussionmentioning

confidence: 99%

Review on Blended Learning: Identifying the Key Themes and Categories

Wei¹,

Chang

2017

IJIET

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Abstract-Blended learning is getting popular nowadays. Even though many studies have been conducted on online learning, studies specifically on blended learning are still scarce. This paper reports on a systematic literature review about blended learning of 103 journal research articles. The purpose of the review is to explore the status of blended learning research, and identify their themes and categories according to their contents. Twelve themes are identified of the articles examined in this paper. Findings showed that these researches mainly belong to six categories: design, strategy, factors, evaluation, methodology and review. Researches in each category are discussed in this paper. Future directions for research are discussed.

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“…В на-стоящее время имеется значительное количество работ, в которых обсуждаются проблемы математического моделирования [1] и управления процессом обучения [2], в том числе и самостоятельной работой студентов [3] с помощью различного математического аппарата: нейронных сетей [4] и нечетких множеств [5][6][7][8] и др.…”

Section: анализ литературных данных и постановка проблемыunclassified

“…Но тут возникает вопрос, смогут ли все студенты, которые занимаются каждый по своей учебной программе, по-лучить необходимый набор компетенций, необходимых для их профессиональной деятельности? В работе [5] предлагается модель системы управления онлайн-обу-чением на основе нечеткой логики, применение которой позволяет более эффективно планировать время препо-давателей и студентов при онлайн-обучении и, следова-тельно, повысить качество обучения. В [6] применяется нечеткий метод для повышения качества образования за счет улучшения организации и планирования процесса обучения.…”

Section: анализ литературных данных и постановка проблемыunclassified

Individualization of students’ independent work on the basis of information technologies

Shevchenko

2015

EEJET

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FuzzyQoI model: A fuzzy logic-based modelling of users' quality of interaction with a learning management system under blended learning

Cited by 55 publications

References 26 publications

Enhancing the Efficiency of Massive Online Learning by Integrating Intelligent Analysis into MOOCs with an Application to Education of Sustainability

Enhancing the Efficiency of Massive Online Learning by Integrating Intelligent Analysis into MOOCs with an Application to Education of Sustainability

Review on Blended Learning: Identifying the Key Themes and Categories

Individualization of students’ independent work on the basis of information technologies

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