scholarly journals Evaluating the effectiveness of facilitating inquiry based learning on Facebook to advance domain knowledge and develop enquiry skills

2019 ◽  
Author(s):  
◽  
Feziwe Lindiwe Yvonne Khomo

This research involved a quest to discover a way, involving technology, which would encourage students to take the lead and take ownership of their own learning and rely less on the lecturer. It sought to investigate a learning approach that would encourage students to be proactive in their learning whilst increasing their domain knowledge. The study was instigated by a concern for what the researcher experienced as students’ negative attitude towards learning. She identified Inquiry Based Learning (IBL) as a learning model that would ignite critical and creative skills and encourage students to take responsibility of their own learning. Thus, the purpose of the study was to investigate a technology-assisted approach to investigate a technology-assisted approach to developing skills for discovering and creating new knowledge. Taking into consideration that most students of the 21st century own technological tools and most have accounts on social network platforms, the study sought to determine whether IBL could be facilitated on the social network platform, Facebook. A case-study, mixed-methods approach was employed. The researcher relied on statistical analysis done by the program SPSS for the analysis of the quantitative data and a qualitative program, NVivo, for analyzing words selected by the students. In addition, observation of the interactions on Facebook assisted materially in drawing conclusions as to whether the objectives were met. In terms of determining an appropriate IBL-oriented model for the study, the findings suggest that the intrinsic attributes of IBL such as collaboration, interaction and engagement can be enhanced on Facebook as students attempted to answer the questions related to an Inquiry Based Scenario question. However, only a limited number of the respondents found the approach and the intervention fully effective. In terms of exploring the usage of Facebook, students expressed a sense of fulfilment and appreciation for the platform with regard to sharing and accessing information. On the other hand, a majority also found the experience challenging; were not fully enthusiastic about this form of learning; and nor did they feel that it would be sufficient if used in isolation from traditional learning methods. In addition, the researcher acknowledged that participation on Facebook was not as she had envisaged it. Further, the study evaluated the facilitation of an IBL “Classroom” environment on Facebook. The interaction on Facebook and the responses to the perception regarding this objective indicated positive results. However, only a limited number of respondents acknowledged that the “classroom” challenged their thinking capabilities, stretched their thinking, or led to deeper thinking. Lastly, the study observed improvements in understanding learning material and the development of a higher order of learning by taking into account (with the assistance of NVivo) the choice of words used in answering the questions related to the IBL scenario posted on Facebook. Further, based on the attempts of the participants to tackle the questions, the researcher concluded that an improvement was attained. In addition, the responses by the students acknowledge that domain knowledge and understanding of the learning unit was improved. It is, however, also important to note that the limited time frame allocated for the study, and the lack of a systematic approach in scaffolding the teaching principles and learning process, had an effect on students’ adoption of the intervention and on the desired outcomes. Based on the findings and challenges encountered, the researcher was able to shed light on certain aspects that need to be considered for an effective inclusion of technological instruments within traditional learning. The study confirmed important aspects revealed in the literature, while the positive effective of the intervention on desired outcomes was encouraging. It could therefore be concluded that the findings were able to address the main objectives of the study.

2016 ◽  
Author(s):  
Chang Suk Choi ◽  
Sang Jim Kim ◽  
Kyung Hoon Kim ◽  
Sang Cheol Jeong

Author(s):  
Yu Zhu

The objective is to predict and analyze the behaviors of users in the social network platform by using the personality theory and computational technologies, thereby acquiring the personality characteristics of social network users more effectively. First, social network data are analyzed, which finds that the type of text data marks the majority. By using data mining technology, the raw data of numerous social network users can be obtained. Based on the random walk model, the data information of the text status of social network users is analyzed, and a user personality prediction method integrating multi-label learning is proposed. In addition, the online social network platform Weibo is taken as the research object. The blog information of Weibo users is obtained through crawler technology. Then, the users are labeled in accordance with personality characteristics. The Pearson correlation coefficient is used to evaluate the relation between the user personality characteristics and the user behavior characteristics of the Weibo users. The correlation between the network behaviors and personality characteristics of Weibo users is analyzed, and the scientificity of the prediction method is verified by the Big Five Model of Personality. By applying relevant technologies and algorithms of data mining and deep learning, the learning ability of neural networks on data characteristics can be improved. In terms of performance on analyzing text information of social network users, the user personality prediction method of integrated multi-label learning based on the random walk model has a large advantage. For the problem of personality prediction of social network users, through combining data mining technology and deep neural network technology in deep learning, the data processing results of social network user behaviors are more accurate.


Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1037
Author(s):  
I.-Chiu Chang ◽  
Kuei-Chen Cheng ◽  
Cheng-Yi Chiang ◽  
Chang-Kuo Hu

Most long-term care facilities can offer residents’ with sufficiently material and physical care, but psychological support may not be always provided due to the tight financial budget or labor resources. Residents’ isolation and loneliness then become a big issue, especially for the residents. Social network systems (SNS) have been proved to be a more effective information transmission channel for thoughts, perspectives, and information sharing than traditional channels such as microblogging, e-mails, or telephones. This study conducted a quasi-experiment to identify factors that influence residents’ intention of using SNS and the impacts of SNS on them in a long-term care facility. The results showed that residents’ attached motivation of personal interacting is a significant factor that influences their intention to use the social network platform. Meanwhile, both the loneliness and depression scales of the participants were decreased significantly.


2010 ◽  
pp. 170-184
Author(s):  
David DiBiase ◽  
Mark Gahegan

This chapter investigates the problem of connecting advanced domain knowledge (from geography educators in this instance) with the strong pedagogic descriptions provided by colleagues from the University of Southampton, as described in Chapter IX, and then adding to this the learning materials that together comprise a learning object. Specifically, the chapter describes our efforts to enhance our open-source concept mapping tool (ConceptVista) with a variety of tools and methods that support the visualization, integration, packaging, and publishing of learning objects. We give examples of learning objects created from existing course materials, but enhanced with formal descriptions of both domain content and pedagogy. We then show how such descriptions can offer significant advantages in terms of making domain and pedagogic knowledge explicit, browsing such knowledge to better communicate educational aims and processes, tracking the development of ideas amongst the learning community, providing richer indices into learning material, and packaging these learning materials together with their descriptive knowledge. We explain how the resulting learning objects might be deployed within next-generation digital libraries that provide rich search languages to help educators locate useful learning objects from vast collections of learning materials.


2018 ◽  
Vol 11 (8) ◽  
pp. 103 ◽  
Author(s):  
Mohammeed A. AlGhamdi

This paper focuses on the use of the social network Instagram to provide supplementary English language learning material to learners from Arabic speaking countries. The author was able to use his online account in Instagram to assess the needs of these learners through data analyses. The content made specific to Arabic speakers by offering translation in each post from English into Arabic and vice versa to foster their interest in the English language. The account was followed by more than 48000 learners. The study aimed to comprehend how Arab learners promote the process of learning English language via the use of the social network Instagram. The study found that Arab learners do not like complicated, lengthy information and, instead, prefer simple, brief explanations related to the English language. The results of this study suggest that a similar program of offering English lessons on Instagram in the future would have an even greater following if only simplified content was offered.


Sign in / Sign up

Export Citation Format

Share Document