Owing to an exponential increase in the number of courses offered online, it is crucial to understand this mode of delivery on a deeper level. In this study, associations among course performance, the use of online resources (i.e., online homework assistance, practice questions and practice tests), mode of delivery (online versus in-person), and…

Children with mathematical difficulties need to spend more time than typically achieving children on solving even simple equations. Since these tasks already require a larger share of their cognitive resources, additional demands imposed by the need to switch between tasks may lead to a greater decline of performance in children with mathematical…

In-class group work activities are found to promote the interpersonal skills of learners. To support the teachers in facilitating such activities, we designed a learning analytics-enhanced technology framework, Group Learning Orchestration Based on Evidence (GLOBE) using data-driven approaches. In this study, we implemented the algorithmic group…

While online learning holds many benefits for graduate students, lack of student interaction often found in asynchronous content delivery may negatively impact student engagement. This study examined student perceptions of online lecture-embedded interactive activities that promoted student active engagement through quizzes and gamification. From…

This case study examined the current assessment practices in the math school of a large research university in the United States. After reviewing a sample of course syllabi offered in the spring 2021 semester, we descriptively summarized the use of 19 assessment methods in the school and examined the assessment patterns by subjects, class…

Adaptive learning systems aim to emulate how skilled educators provide every student with the best possible learning experience. We investigate how these systems might be enriched by incorporating activities and indicators of social learning, which focus on the influences of learners' social context and interactions. This doctoral research aims to…

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…

Purpose: One of the misconceptions of teaching and learning for practical-based programmes, such as engineering, sciences, architecture, design and arts, is the necessity to deliver via face-to-face physical modality. This paper refutes this claim by providing case studies of best practices in delivering such courses and their hands-on skillsets…

This paper contributes to understanding opportunities to use social media to identify the priorities and challenges of students from different countries in digital and face-to-face learning and networking during the COVID-19 pandemic and in the new reality after this crisis. The COVID-19 crisis resulted in intensive new e-learning and hybrid…

This paper reflects the results from a 3-year quantitative study in higher education on inquiry-based learning (IBL). Utilizing primary data collection in a quasi-experimental survey, we examined the impact of IBL on six cohorts of undergraduate students. We aimed to answer our main research question: Can IBL be an effective pedagogy that helps…

Objective: Measurement tools for children's foundational skills provide important insights towards the developmental mechanisms of these domains. This study examines the structure of sensorimotor, visuospatial processing (VP), executive function (EF) skills and their interrelationship. The NEPSY is a widely-used neuropsychological instrument, but…

With the large increase in online English language learners, there is a need to explore how those learners practise self-regulated writing in such an autonomous learning context. This article reports on an exploratory study of self-regulated learning strategies used by two writing-proficiency groups (low and high) of Saudi English majors within an…

For nearly two years, from 2020 to the first semester of 2022, massive full-time online learning was carried out. Currently, the online learning model is continuing to be used with the blended learning method, combining online and in-person classes. However, there is a lack of studies that focus on the experiences of English as a Foreign Language…

Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…

Aim/Purpose: This study investigates the relationship between time of class and the academic performance of Master of Business Administration (MBA) students with 'group engagement' serving as the moderator. Notably, 'group engagement' is measured using a novel computer vision-based deep learning approach. Background: Generally, the first year of…