scholarly journals Social construction of knowledge in synchronous text-based discussion during English language learning

2020 ◽  
Vol 10 (2) ◽  
pp. 315-336
Author(s):  
Ira Mutiaraningrum ◽  
Arif Nugroho

The uptake of remote learning during the COVID-19 pandemic was indispensable. Classroom activity, including English language learning, was shifted into remote learning. However, remote learning has not escaped the question regarding its role in students' knowledge construction in language learning. Thus, this study explores whether the social construction of knowledge occurs in the same-time synchronous text-based discussion during students' English language learning. It also investigates the phasesin which the social construction of knowledge present. Content analysis of the Interaction Analysis Model was used as the method to classify twenty-three Indonesian English as foreign language students' discourses in the synchronous text-based discussion. The transcripts from two threads in Google Classroom were sorted into the Interaction Analysis Model Phases to find out the percentage of each Phase's occurrence. Results indicate that the discourses showed the social construction of knowledge was developed by students and thereby pointed out the process of their cognitive thinking during their synchronous English language learning. This study suggests that the social construction of knowledge exists in synchronous text-based discussion with the most frequent postings categorized in Phase I.




1997 ◽  
Vol 17 (4) ◽  
pp. 397-431 ◽  
Author(s):  
Charlotte N. Gunawardena ◽  
Constance A. Lowe ◽  
Terry Anderson

This study attempts to find appropriate interaction analysis/content analysis techniques that assist in examining the negotiation of meaning and co-construction of knowledge in collaborative learning environments facilitated by computer conferencing. The authors review strengths and shortcomings of existing interaction analysis techniques and propose a new model based on grounded theory building for analyzing the quality of CMC interactions and learning experiences. This new Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing was developed after proposing a new definition of “interaction” for the CMC context and after analyzing interactions that occurred in a Global Online Debate. The application of the new model for analysis of collaborative construction of knowledge in the online debate and in a subsequent computer conference are discussed and future research suggested.



2018 ◽  
Vol 48 (6) ◽  
pp. 821-845 ◽  
Author(s):  
Meritxell Ramírez-i-Ollé

Early Science and Technology Studies (STS) scholars recognized that the social construction of knowledge depends on skepticism’s parasitic relationship to background expectations and trust. Subsequent generations have paid less empirical attention to skepticism in science and its relationship with trust. I seek to rehabilitate skepticism in STS – particularly, Merton’s view of skepticism as a scientific norm sustained by trust among status peers – with a study of what I call ‘civil skepticism’. The empirical grounding is a case in contemporary dendroclimatology and the development of a method (‘Blue Intensity’) for generating knowledge about climate change from trees. I present a sequence of four instances of civil skepticism involved in making Blue Intensity more resistant to critique, and hence credible (in laboratory experiments, workshops, conferences, and peer-review of articles). These skeptical interactions depended upon maintaining communal notions of civility among an increasingly extended network of mutually trusted peers through a variety of means: by making Blue Intensity complementary to existing methods used to study a diverse natural world (tree-ring patterns) and by contributing to a shared professional goal (the study of global climate change). I conclude with a sociological theory about the role of civil skepticism in constituting knowledge-claims of greater generality and relevance.



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.



2016 ◽  
Vol 6 (3) ◽  
pp. 1-17
Author(s):  
Don Davis ◽  
Vittorio Marone

In the learning sciences and game studies communities, there has been an increasing interest in the potential of game-related “paratexts” and “surrounds” in supporting learning, such as online discussion forums and gaming affinity spaces. While there have been studies identifying how learning occurs in such communities, little research has been done on learning at the aggregate level. This study examined the social construction of knowledge in two sections of the discussion forums in the TUG (“The Untitled Game”) gaming affinity space. Findings suggest that game-like prompts and sections in online discussion forums can spur higher level forms of interaction and learning and can have implications for the design of gaming communities in which the social construction of knowledge is a desired outcome.



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