Exploring Humanity-Oriented Content Producing Process in Providing Valuable E-learning Applications

Doong, Jiann-Gwo

doi:10.1109/icgec.2012.91

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…• Cognitive communication to construct common understanding or design and develop common cognitive tool (Latorre et al, 2014;Doong, 2012;Hussin, Bunyarit & Hussein, 2009;Hsu, Yeh & Yen, 2009). …”

Section: Statement Of the Problemmentioning

confidence: 99%

E-learning content design standards based on interactive digital concepts maps in light of meaningful learning theory and constructivist learning theory

Afify

2018

J. Technol. Sci. Educ.

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The present study aims to identify standards of interactive digital concepts maps design and their measurement indicators as a tool to develop, organize and administer e-learning content in the light of Meaningful Learning Theory and Constructivist Learning Theory. To achieve the objective of the research, the author prepared a list of E-learning content design standards based on interactive digital concepts maps. It involved (11) general standards and (40) performance indicators. It was investigated by 21 teaching staff members who are experts in educational technology and e-learning to ration the list and its performance indicators. Results illustrated that standards are too significant and appropriate for the purpose of the study. Results were discussed in the light of theoretical background results of researches and literature review in the field. The study provided recommendations and suggestions that can be used as practical applications in the field of developing E-learning content based on utilizing interactive digital concepts maps.

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Section: Statement Of the Problemmentioning

confidence: 99%

E-learning content design standards based on interactive digital concepts maps in light of meaningful learning theory and constructivist learning theory

Afify

2018

J. Technol. Sci. Educ.

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“…It encompasses a wide range of topics, including programming, data analysis, algorithms, and computer architecture, tailored to the specific needs and goals of the course. Students learn how to utilize digital tools and technologies to solve problems, analyze data, and optimize processes within their chosen field of study [2]. The course typically incorporates hands-on projects, coding assignments, and real-world applications to reinforce theoretical concepts and foster practical skills.…”

Section: Introductionmentioning

confidence: 99%

Digital Computing-Based Course Recommendation Algorithm for Distance Education Platforms

2024

jes

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A course recommendation algorithm utilizes data about a user's preferences, past behaviour, and possibly other factors like demographics or interests to suggest relevant courses. It employs techniques such as collaborative filtering, content-based filtering, or hybrid approaches to analyse similarities between users or courses and make personalized recommendations. By continuously refining its suggestions based on user feedback and interactions, the algorithm aims to enhance the user's learning experience by presenting courses that align with their interests and goals. This paper explores the integration of course design principles with recommendation systems to enhance personalized learning experiences in distance education platforms. The course design is performed with the integration of collaborative filtering with the edge computing model for the estimation of features in distance education. Collaborative filtering is applied in the education platform through the estimation of features and edge computing is implemented for the processing. With the increasing popularity of online learning, there is a growing need to tailor educational content to meet the diverse needs, preferences, and skill levels of individual learners. Course design plays a crucial role in shaping the structure and delivery of educational materials, while recommendation systems leverage user data to provide personalized course suggestions. By integrating these two components, distance education platforms can create tailored learning pathways that optimize user engagement, retention, and learning outcomes. The analysis is further enriched by showcasing the course recommendations for individual users, highlighting how recommendation systems leverage course design aspects to deliver personalized learning experiences.

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Exploring Humanity-Oriented Content Producing Process in Providing Valuable E-learning Applications

Cited by 2 publications

References 5 publications

E-learning content design standards based on interactive digital concepts maps in light of meaningful learning theory and constructivist learning theory

E-learning content design standards based on interactive digital concepts maps in light of meaningful learning theory and constructivist learning theory

Digital Computing-Based Course Recommendation Algorithm for Distance Education Platforms

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