scholarly journals Online Gamified Learning Platforms (OGLPs) for Participatory Learning

Author(s):  
Kenneth Shiu-Pong Ng ◽  
Ivan Ka-Wai Lai ◽  
Kwan-Keung Ng
2019 ◽  
Vol 3 (3) ◽  
pp. p285
Author(s):  
Martin Lau ◽  
Isaac Chan ◽  
Eva Y. W. Wong ◽  
Theresa Kwong ◽  
David Gibson

Global issues such as poverty, hunger, and environmental problems are inextricable and cannot be solved comprehensively by homogeneous groups. With the advance of technology, collaborations with peoples at different geographical locations can be achieved effectively. Higher education in the 21st Century must therefore facilitate students to learn how to eclectically connect their creativity and problem-solving skills with technology, and most importantly to work with heterogeneous groups to solve complex global issues.This paper will elaborate on a pilot study of a project in Hong Kong, titled the CCGame Project, which aims to heighten students’ multicultural and multidisciplinary competences by deploying gamified learning and challenge-based learning. Team-based, self-guided learning is the core of the challenge-based learning approach. To preserve students’ interest in learning and accomplishing the tasks for the team, cloud-based learning platforms have been deployed. In the pilot, the online learning platform collected data for analysis of individual and team behaviour. The pilot demonstrated that students could work in a diverse team to complete a challenge. Evidence-based results supported with data analytics will be presented and the project’s plan of work will also be elucidated in this paper.


Author(s):  
В.В. Васильева

в статье рассматривается развитие дистанционного обучения в России через ФГОС 3 поколения и дистанционных образовательных платформ. Автором было проведено исследование среди студентов выпускных курсов университетов России. the article deals with the development of distance learning in Russia through the 3rd generation FSES and distance learning platforms. The author has conducted a research among graduate courses of Russian universities.


Author(s):  
Magda Nikolaraizi ◽  
Charikleia Kanari ◽  
Marc Marschark

In recent years, museums of various kinds have broadened their mission and made systematic efforts to develop a dynamic role in learning by offering a wide range of less formal experiences for individuals with diverse characteristics, including individuals who are deaf or hard-of-hearing (DHH). Despite the worthwhile efforts, in the case of DHH individuals, museums frequently neglect to consider their unique communication, cognitive, cultural, and learning characteristics, thus limiting their access and opportunities for fully experiencing what museums have to offer. This chapter examines the potential for creating accessible museum environments and methods that reflect an understanding of the diverse communication, cognitive, cultural, and learning needs of DHH visitors, all of which enhance their access and participation in the museum activities. The role of the physical features of museum spaces for the access and behavior of DHH visitors is emphasized, together with attention to exhibition methods and the communication and cognitive challenges that need to be considered so DHH visitors can get the maximum benefit. The chapter emphasizes the right of individuals who are DHH to nonformal learning and analyzes how museums could become more accessible to DHH individuals by designing, from the beginning, participatory learning experiences that address their diverse needs.


2021 ◽  
pp. 1-10
Author(s):  
Fen Zhang ◽  
Min She

English reading learning in college education is an efficient means of English learning. However, most of the current English reading learning platforms in colleges and universities only put different English books on the platform in electronic form for students to read, which leads to blindness of reading. Based on artificial intelligence algorithms, this paper builds model function modules according to the needs of English reading and learning management in college education and implements system functions based on artificial intelligence algorithms. Moreover, according to the above design principles of personalized learning model and the characteristics of personalized network learning, this paper designs a personalized learning system based on meaningful learning theory. In addition, this article verifies and analyzes the model performance. The research results show that the model proposed in this paper has a certain effect.


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