Towards a better understanding of the role of visualization in online learning: A review

Zhang, Gefei; Zhu, Zihao; Zhu, Sujia; Liang, Ronghua; Sun, Guodao

doi:10.1016/j.visinf.2022.09.002

Cited by 20 publications

(9 citation statements)

References 81 publications

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“…To better understand the importance of visualization in online learning, we examine and categorize the available research for it in this work. The four categories of online learning activities that comprise our taxonomy are behavior analysis, behavior prediction, learning pattern discovery, and supported learning [17].…”

Section: A Online Courses and Mooc Platformsmentioning

confidence: 99%

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E-Learning Pricing Model Policy for Higher Education

et al. 2023

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The technological advancement in learning has made it possible for students to study beyond space and time restrictions, known as online learning. Impacted by the pandemic for an extended period, most students have adapted to online learning and, even more, have realized the vast benefits of online learning despite all the minor disadvantages. As a result, worldwide institutions, including Indonesia, are now offering online degrees and courses. Previous studies have shown contradictory results of cost factor effects on online courses, from the least important to the most critical factor for student achievements. Therefore, deciding the online course rates has been a major concern for online course providers. This research aims to answer the fundamental question of designing costs for online learning by analyzing online course preferences and ensuring sustainability by proposing a framework for the E-learning Pricing Model Policy in Higher Education using literature studies and qualitative approaches. The results show four main phases: the preparation phase, which conducts market research to understand consumer demand and behavior; the implementation phase, which includes marketing expenses and tutor fees; evaluation phase, which includes the course content material and video production revisions for further implementation. In addition, the infrastructure phase as the Learning Management System's virtual space is added with the Cloud Expenses. However, as a limitation of this research, countless factors influence online course rates, and no exact number can determine those rates. Nevertheless, the course cost can be estimated by considering the factors that affect the overall cost and the number of learners who take the course. As a result, this framework acts as an essential foundation for institutions to determine sustainable online course rates.

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Section: A Online Courses and Mooc Platformsmentioning

confidence: 99%

“…Online learning gives students more flexibility in their learning options than traditional classroom instruction. [17].…”

Section: Impacts Of Online Coursesmentioning

confidence: 99%

E-Learning Pricing Model Policy for Higher Education

et al. 2023

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“…Y. Wang et al discuss at a more scientific and technical level the potential of computer visualization tools to increase visibility using the example of research projects in industry [27]. Concerning education, similar conclusions are contained in the work of G. Zhang et al Scientists conclude that in the framework of e-learning, the information presented is multimedia: text, images and video [28]. The data itself displays a variety of events and facts.…”

Section: Literature Reviewmentioning

confidence: 92%

Formation of creative thinking of schoolchildren using interactive timelines in the conditions of additional education

Soboleva,

Gorev,

Suvorova

et al. 2024

P Sci Edu

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The problem and the aim of the study. Preparing a graduate who can apply acquired knowledge in practice in new non-standard situations is one of the key tasks facing a digital school teacher. The information environment of additional education makes it possible to organize didactic interaction with online tools in a special way, during which its participants receive opportunities to demonstrate creativity and generate original ideas and solutions. The purpose of the study is to identify the potential of using interactive time tapes in classes in the additional education system to develop the creative thinking of schoolchildren. Research methods. The methodology is based on an analysis of the didactic possibilities of additional education and interactive services for the formation of creative thinking; on clarifying the training program and ways of organizing activities in the classroom when creating timelines. To develop a timeline, an online application Timeline JS is used. The experiment involved 60 schoolchildren from the creativity studios “Word” and “Miniature” (Russian Federation). To assess the maturity of creative thinking, the “Test of Divergent (Creative) Thinking” technique is used (author – F. Williams, adaptation – E. E. Tunik). For statistical processing of data, Pearson's χ2 (chi-square) criterion is used. Results. An important feature of the proposed work system is the integration of timelines into various areas of the studio activities: social-pedagogical, technical, physical education and sports, etc. Schoolchildren from the experimental group study according to the following plan: studying ready-made timelines; analysis of relevant Internet resources; creation of an interactive scale; discussion of the designed timeline; foresight session to identify options for its possible application. Statistically significant differences were revealed in the qualitative changes that occurred in the pedagogical system (χ2 = 6.154; p < 0.05). In conclusion, the possibilities of interactive timelines for the development of creative thinking are formulated: reusability; retrospective and multimedia presentation, etc. The difficulties that complicate the use of online services are described: time costs, the need to develop criteria for systematically assessing the effectiveness of using interactive applications for the appropriate purpose, etc.

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“…Amid this MOOC landscape, the need for effective visualization tools becomes apparent. The taxonomy of E-Learning activities, as discussed by [23], includes behavior analysis, prediction, learning pattern discovery, and supported learning, highlighting the role of data analytics in predicting dropout rates and evaluating learner performance [9], [23]. Furthermore, as noted by Yilmaz et al [28], the provision of free professional development opportunities through universities has been instrumental in retaining nonpermanent English instructors in the teaching profession.…”

Section: Development Of Moocs and Pricing Strategies In E-learningmentioning

confidence: 99%

“…In addition, MOOCs offer students an array of learning tools, providing flexibility and choice in their educational journeys. Over the past decade, MOOCs have experienced explosive growth in popularity, granting students more flexible learning options than traditional classroom-based instruction [9].…”

Section: Introductionmentioning

confidence: 99%

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

Setiawan,

Putranto,

Wihendro

et al. 2024

IEEE Access

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E-Learning has undergone a transformative evolution in recent years, driven by the profound impact of the Covid-19 pandemic and the convergence of technological advancements. It has shifted from being a supplemental option to a fundamental component in the global education landscape, impacting learners from the earliest stages of schooling to advanced academia. This article delves into the ongoing research aimed at developing a price calculator program to establish cost guidelines for online courses. The process, guided by the Indonesia Cyber Education Institute (ICE-I), is meticulously explored, from its conceptualization to prototype development. This research employs a qualitative approach based on the Technology Acceptance Model (TAM) to investigate the validity and significance of critical claims associated with E-Learning. Through workshops and focus group discussions, it becomes evident that perceived ease of use, perceived usefulness, and intention to use are interconnected factors influencing technology adoption. These findings collectively contribute to a deeper comprehension of the dynamics of E-Learning, effective research project management, and the significance of user-friendly tools in education. The collaborative efforts showcased in these interactions hold the potential to propel advancements in online education and pricing strategies. Moreover, the educational landscape has been permanently reshaped, necessitating the integration of E-Learning into the academic sphere. The research contributions, guided by TAM, offer valuable insights for educational institutions seeking to expand their online course offerings while aligning with evolving student needs. The meetings served as the cornerstone of a collaborative research endeavor, illuminating the evolution of discussions and tasks over time. The Focus Group Discussions (FGD) provided invaluable insights into the changing E-Learning landscape, emphasizing affordability and adaptability. The E-Learning Pricing Calculator emerged as a user-friendly and valuable tool, positively influencing users' attitudes and intentions to use it. Additionally, external variables played a pivotal role in shaping users' decision-making processes.

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Towards a better understanding of the role of visualization in online learning: A review

Cited by 20 publications

References 81 publications

E-Learning Pricing Model Policy for Higher Education

E-Learning Pricing Model Policy for Higher Education

Formation of creative thinking of schoolchildren using interactive timelines in the conditions of additional education

Tech-Driven Transformation: Innovative Pricing Strategies for E-Learning

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