Constructivist Learning Environments and Defining the Online Learning Community

2014 ◽  
Vol 9 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Loren Brown ◽  
Author(s):  
Rocci Luppicini

A grounded conversation design approach is posited as a way to study complex conversational processes within online learning environments. This approach is applied to online learning contexts to leverage conversation quality and learning. Study I examines conversations emerging within an online learning community created within an undergraduate class to critically discuss research. Study II applied conversational protocols derived from study I within an undergraduate online editorial board simulation intended to generate critical discourse. The chapter suggests how basic grounded conversation techniques can be applied in a variety of online learning environments to study conversation and develop grounded conversation theory within the context of online learning. Grounded conversation design is based on the assumption that conversation is situated and grounded within the social contexts from which it emerges.


2019 ◽  
Vol 9 (4) ◽  
Author(s):  
Peter Shea ◽  
Chun Sau Li ◽  
Karen Swan ◽  
Alexandra Pickett

This paper builds on the model we have developed for creating quality online learning environments for higher education. In that model we argue that college-level online learning needs to reflect what we know about learning in general, what we understand about learning in higher-education contexts, and our emerging knowledge of learning in largely asynchronous online environments. Components of the model include a focus on learner roles, knowledge building, assessment, community, and various forms of “presence.” In this paper we focus on two components—teaching presence and community—and review the rationale and benefits for an emphasis on community in online learning environments. We argue that learning is social in nature and that online learning environments can be designed to reflect and leverage the social nature of learning. We suggest that previous research points to the critical role that community can play in building and sustaining productive learning and that teaching presence, defined as the core roles of the online instructor, is among the most promising mechanism for developing online learning community. We present a multi-institutional study of 2,036 students across thirty-two different colleges that supports this claim and provides insight into the relationship between online learning community and teaching presence. Factor and regression analysis indicate a significant link between students’ sense oflearning community and their recognition of effective instructional design and directed facilitation on the part of their course instructors—and that student gender plays a small role in sense of learning community. We conclude with recommendations for online course design, pedagogy, and future research.


2020 ◽  
Vol 5 (2) ◽  
pp. 33-61
Author(s):  
Kai Wang ◽  
Yu Zhang

AbstractPurposeOpinion mining and sentiment analysis in Online Learning Community can truly reflect the students’ learning situation, which provides the necessary theoretical basis for following revision of teaching plans. To improve the accuracy of topic-sentiment analysis, a novel model for topic sentiment analysis is proposed that outperforms other state-of-art models.Methodology/approachWe aim at highlighting the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels. The proposed method comprised data preprocessing, topic detection, sentiment analysis, and visualization.FindingsThe proposed model can effectively perceive students’ sentiment tendencies on different topics, which provides powerful practical reference for improving the quality of information services in teaching practice.Research limitationsThe model obtains the topic-terminology hybrid matrix and the document-topic hybrid matrix by selecting the real user’s comment information on the basis of LDA topic detection approach, without considering the intensity of students’ sentiments and their evolutionary trends.Practical implicationsThe implication and association rules to visualize the negative sentiment in comments or reviews enable teachers and administrators to access a certain plaint, which can be utilized as a reference for enhancing the accuracy of learning content recommendation, and evaluating the quality of their services.Originality/valueThe topic-sentiment analysis model can clarify the hierarchical dependencies between different topics, which lay the foundation for improving the accuracy of teaching content recommendation and optimizing the knowledge coherence of related courses.


Author(s):  
Terri Edwards Bubb ◽  
Denise McDonald ◽  
Caroline M. Crawford

This chapter explores the importance of collaborative and authentic learning in online distance learning environments. It focuses upon the interactive activities between the instructor, learners, online environment, and larger community, which are all engaged towards developing a community of learners in which meaningful connections enhance learner motivation (Ardichvili, Page & Wentling, 2003; Conrad & Donaldson, 2004) and acquisition of learning objectives. Built-in opportunities are integral to the process for socialization-type learning activities and instructor’s awareness, and alignment of those activities to the readiness of individual learners and collective learning community (i.e., zone of proximal development) (Vygotsky, 1962, 1978). Practical instructional ideas and activities for building an online learning community are presented.


Sign in / Sign up

Export Citation Format

Share Document