Affect dynamics in digital learning systems (DLS) research investigates how students' emotions evolve while using these systems. This information can reveal the most common emotions experienced by students and how they transition between them. Recent studies indicate that affect dynamics in DLS vary depending on students' demographic and personal…

The purpose of this paper is to analyze factors that affect the behavioral intentions of undergraduate students to use blended learning methods. The research uses the three-tier use model (3-TUM) to explore the influencing behavioral factors of students at the undergraduate level to use LMSs. "The research was carried out at a university and…

This study examined African higher education students' digital media use for learning. A total of 64 papers were selected for final synthesis from 1046 publications between 2010 and 2021. The review was dominated by campus-based undergraduate studies in the STEM subjects. The synthesis confirmed a variety of digital media usage; however, learning…

The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…

This study aims to evaluate the effectiveness of the online learning platform Brilliant.org in improving the academic performance of 60 tenth-grade students from four public schools in the city of Barranquilla, Colombia. A quasi-experimental design with two groups will be used: an experimental group that will use Brilliant.org platform to learn…

Purpose: The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether…

Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…

Translanguaging and trans-semiotizing research has problematized the static view of language and argued that meaning making is a dynamic, material, social, and historical process across multiple timescales in complex eco-social systems. The second author proposed the concept of trans-semiotizing as an alternative lens to study language teaching…

Collaborative online learning (COL) has been associated with positive outcomes, such as critical thinking, shared problem-solving skills, and deep learning. Such outcomes require pedagogies that consider students' backgrounds, including the cultural context in which they operate. This study reflects upon the role of culture through the lens of the…

Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…