The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…

Contemporary education is often based on using e-learning courses, which have become a popular means of delivering didactic material to students. Among the main advantages mentioned is the potential possibility of creating individual ways of learning and teaching. The purpose of this article is to provide a description of the various approaches to…

This study examined Korean (n = 143) and Taiwanese (n = 261) EFL students' willingness to communicate in a second language (L2 WTC) in in-class, out-of-class, and digital settings. Follow-up interviews (n = 20) were also conducted to identify factors that might have influenced their L2 WTC. Results showed that Korean and Taiwanese participants…

There are pedagogical challenges for the ideal balance of online community building and interaction among students and instructors for HyFlex learning. One of the challenges focuses on how instructors can effectively select and design an online discussion modality to promote positive, vigorous, and encouraging online asynchronous discussion to…

Studying the networked nature of social and cognitive aspects of learner interactions is the key to understanding how successful collaborative learning occurs in asynchronous online discussion forums (AODFs). Guided by network science and multiplex network analysis, this study compared the differences of network structure and properties between…

Background: Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives: Using the design-based…

Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks…

Social movements are at the forefront of fighting for another world as conceptualised through Arundhati Roy's portal. COVID-19 and state measures imposed to contend with it have severely impacted not only the activism of movements, but also their capacity to learn. Translocal social movement learning offers one way in which such learning can…

Due to the spread of COVID-19, which has become a global pandemic, Kazakhstan began distance education in universities in mid-March. During the quarantine, there were several problems with distance education. The purpose of this article is to research the effect of the COVID-19 pandemic on the Kazakhstani educational process. The methodological…

The assessment of learning and the assessment for learning are considered as an integral part of learning process. They provide information to improve the educational instructions and to boost the students' performances. It is a critical aspect of teaching and learning process and it requires teachers and learners to be prepared for the whole…

A substantive body of research demonstrates negative bias toward reporting characteristics of young people associated with bullying and cyberbullying in schools, as both victims and perpetrators. The current study proposes a different approach. A sample of 2,799 postprimary school pupils aged 12 to 19 years (M = 15.5, SD = 1.66), divided equally…

During data collection, field interviewers often append notes or comments to a case in open text fields to request updates to case-level data. Processing these comments can improve data quality, but many are non-actionable, and processing remains a costly manual task. This article presents a case study using a novel application of machine learning…

The aim of this study is to evaluate the effects of a teaching simulation activity that uses a chatbot on preservice teachers' efficacy. Forty-six preservice teachers were asked to teach the chatbot the topic of school violence and how to handle it. They were assigned to one of three groups: Teaching a chatbot whose attitude was impolite, polite,…

Automatic analysis of the myriad discussion messages in large online courses can support effective educator-learner interaction at scale. Robust classifiers are an essential foundation for the use of automatic analysis of cognitive presence in practice. This study reports on the application of a revised machine learning approach, which was…

Computational social science methods provide a better understanding of how social work education programs use Twitter. Data mining and sentiment analysis of 2,509 tweets were conducted using the Information, Community, and Action conceptual framework. Programs primarily tweet content related to the theme of Information and the tone of the tweets…