Purpose: Free and open-source software (FOSS) has been used worldwide because of the advantages of user control, cost-saving, flexibility, openness, freedom, more security and better stability. The purpose of this study is to explore the status quo of educational application of FOSS and the trends from international perspectives and its…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

Students' writing proficiency is measured through holistic and analytical ratings in writing assessment; however, recent studies suggest that measurement of syntactic complexity in second language writing research has become an effective measure of writing proficiency. Within this paradigm, we investigated how automated measurement of syntactic…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…

Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…

Given the increasingly prominent position of digital technologies in the Higher Education classroom, this paper takes a concurrent triangulation mixed method approach to explore the ways in which blogging might be used to support student learning through a large MA dissertation module, comprising students from five courses. Taking as it impetuous…

Undergraduate students should be able to identify relationships between agricultural and natural resources (ANR) issues to be prepared for ANR sector jobs. The purpose of this study was to determine if communication courses focused on teaching about ANR issues influenced students' understanding of the relational nature of these issues. A…

This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…

Gamification offers potential for improving students' online discussion quantity and the depth of discussion content. However, very few studies have examined the social network patterns when students are posting and providing peer-feedback to each other in gamification-based environments. In response to those gaps, this study used a learning…

The purpose of this study was to investigate the role of leadership and its influence on innovation at a two-year college, paying particular attention to the network structure, the influence of leadership (formal and informal), and environmental influence. The goal was to learn about the nature of innovation at two-year colleges by studying the…

In this paper, we draw on Actor-Network Theories (ANT) to explore how material components functioned to create gateways and barriers to a virtual learning network in the context of a professional development module in higher education. Students were practitioners engaged in family learning in different professional roles and contexts. The data…

The purpose of this study was to investigate where students turn for course-related assignments, whether an ordered pattern could be described in terms of which sources students turn to and how students evaluated the information they chose to use. Data were drawn from open-ended questionnaires (n = 282). Semantic network analysis was conducted…

This study proposes and verifies the performance of an analysis tool for visualizing online interactions. A review of the most widely used methods for analyzing online interactions, including quantitative analysis, content analysis, and social network analysis methods, indicates these analysis methods have some limitations resulting from their…

Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…