Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction…

In this research paper, the authors analyse the collected data output during a 36-week cMOOC. Six-week data streams from blogs, Twitter, a Facebook group, and video conferences were tracked from the daily newsletter and the MOOCs' hashtag (#Change 11). This data was analysed using content analysis and social network analysis within an…

Teacher professional development (PD) that supports the emergence of professional learning communities (PLCs) is effective for teachers' learning and instructional improvement. Our work focuses on supporting the emergence of online PLCs and an emergent issue in this work is how to maintain the quality of teachers' experiences in online PLCs when…

The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…

Participation in online communities is an increasing need for future language teachers and their professional development. Through such participation, they can experience and develop an awareness of the behaviors required to facilitate their future learners' participation in online learning. This article investigates participation, interaction…

In online learning environments, tutors have several problems to carry out their activities, such as evaluating the student, knowing the right way to guide each student, promoting discussions, and knowing the right time to interact or let students build knowledge alone. We consider scenarios in which teaching and learning occurs in online social…

An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…

The present study examines the professional growth of three Chinese English teachers by analyzing their interactional patterns and their social and cognitive presence in an online community. The data from social network analysis (SNA) and content analysis revealed that computer-mediated communication (CMC) created new opportunities for teachers to…

The purpose of this paper was to investigate the effects of mobile instant messaging on collaborative learning processes and outcomes. The collaborative processes were measured in terms of different types of interactions. We measured the outcomes of the collaborations through both the students' taskwork and their teamwork. The collaborative…

In education business, proper interaction is a crucial factor for learning effectiveness. However, it is difficult to successfully guide the participants to achieve the appropriate interaction in an online learning environment. That is, the interaction as well as internal dialogue should be systemically performed under a valid control. In this…

We report on our efforts to support teachers' development of mathematical knowledge for teaching through online professional development. In particular, we report on our investigation into the relationship between online interaction and teachers' development of mathematics content for teaching. Through the integration of content analysis and…

This research investigates students' peer interactions in the Design and Technology (D&T) environment supported by "Knowledge Forum". The sample comprised of 15 students who had no prior experience in using "Knowledge Forum" to mediate their D&T learning. Their interaction with peers occurred in three stages: design situation, ideation and…

This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly,…

For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…

This study aims to investigate the patterns and the quality of online interaction during project-based learning (PjBL) on both micro and macro levels. To achieve this purpose, PjBL was implemented with online group activities in an undergraduate course. Social network analysis (SNA) and content analysis were employed to analyze online interaction…