This dissertation examines the interaction patterns that happen in an online learning environment. While many studies look at online learning through the lens of the learner or the learning environment, few studies look at the interaction patterns that happen through the digital traces captured by computational tools. Based on the conceptual…

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…

In recent years, Social Networking Sites (SNSs) have witnessed a substantial surge in global user adoption. Apart from their primary intended functionalities, these platforms have been increasingly utilized for language learning purposes. However, the extent to which they cater to the needs of language learners remains a longstanding question. The…

Artificial intelligence (AI) has significant potential in foreign language learning and teaching, and various scientific studies that monitor, investigate, and examine developments in this field have been conducted for many years. In fact, with the increasing importance and popularity of AI, there has been an observed growth in the number of…

The present study aims to investigate how social media can influence the development of oral skills in 60 students from a higher education institution in Peru. In this regard, mixed-methods research was conducted, with pre and post-tests, to evaluate the before and after of implementing a program that involved uploading videos recorded by the…

WhatsApp is one of the most popular and widely used communication platforms today. However, from an application in a few subject areas, this mobile application (app) can be distractive and cause users to lose their focus as it attracts and promotes social interaction among learning communities. In this study, firstly, qualitative research approach…

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,…

Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…

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…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

This article is the result of the SGI 2174 project. Its objective is to identify how elements, techniques and mechanics game (gamification) have been implemented, as an ICT-mediated learning strategy for learning and training in the education. A systemic literary review of works on the subject is carried out to contextualize and identify methods,…

Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…

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…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

The aim of this study is to examine negative effects of using WhatsApp social network application in educational processes and to create a conceptual framework in this manner. In order to examine the literature related to the research topic, sources in different databases were evaluated and research works after especially 2010 have been considered…