Purpose: This study, based on self-determination theory (SDT), investigates the effect of business students' future time perspective (FTP), directly and indirectly (mediated by deep learning approaches), on quality of university life. Design/methodology/approach: A sample of 547 business students in Ho Chi Minh City, Vietnam, was surveyed via a…

Self-learning materials (SLM) generally lack the mechanisms for ensuring deep learning but help address the learning needs of large number of learners. Hence, it was retained as the key instructional component for a distance in-service teacher education programme offered by the Indira Gandhi National Open University (IGNOU), India. However, for…

The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…

Assistive technologies can in many ways facilitate the normal day-to-day lives of the disabled. As part of the ongoing research on assistive technologies at UTAS, Oman, that deals with augmenting and finding multimodal aspects of applications for the disabled, this paper aspires to investigate the role of deep learning in the field of image…

A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…

We investigated the relation between providing and receiving audio peer feedback with a deep approach to learning within online education. Online students were asked to complete peer feedback assignments. Data through a questionnaire with 108 respondents and 14 interviews were used to measure to what extent deep learning was perceived and why.…

This study aims to determine the benefits of student-centred teaching methods for students' cognitive and practical improvement and the mediating effect of deep learning on the relationship between them. We developed a scale of student-centred teaching for the Chinese context using exploratory factor analysis, confirmatory factor analysis and…

The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…

Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…

In the wake of profound social changes, which have been accelerated due to a global pandemic, educators reconsider the role and goals of education, and subsequently, how its pragmatic expression should look like in a VUCA-world. We address this challenge by offering basic tenets of education and principles that are tailored to the current reality.…

The need to identify methods to support self-regulated learning has raised the interest of researchers in recent years. Cognitive prompts are considered very promising instructional tools for developing self-regulatory abilities. The present study aims to investigate the usefulness of several types of cognitive prompts in activating learning…

In this paper, we explore the learning and teaching of a maritime simulation programme to understand its deep learning elements. We followed the mixed methods approach and collected student perception data from a maritime school, situated within a UK university, using reflection-based survey (n = 112) and three focus groups with eleven students.…

This paper proposes the adoption of AI technologies in higher education to support student learning. Using multi-modal blended learning theory and independent learning fundamental theory, the study explores the use of AI to evaluate and improve the effectiveness of blended teaching in college English courses. A new model of deep learning and a…

Due to the COVID-19 pandemic, courses were forced into an online format as universities paused in-person learning and consequently, students were required to adjust to online learning. The objective of the current study was to determine the effect of optional assessments designed to promote engagement in a fourth-year asynchronous online…

Writing is a fundamental skill linked closely with academic achievement, day-to-day communication, formal negotiations, and more. However, due to their lack of contextual experience, learning to write has been a demanding and complex cognitive process for most learners. As a result, learners struggle to exhibit positive learning behaviours and…