The impact of digital technology on learning outcomes, specifically deep learning, has been a subject of considerable debate and scrutiny in educational settings. This study aims to provide clarity by conducting a meta-analysis of empirical publications that examine students' deep learning outcomes in relation to digital technology. A…

Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…

The study aimed to investigate the impact of incorporating deep learning strategies in mathematics instruction on students' problem-solving abilities, critical thinking skills, academic achievement, and mathematical skills development. The study population consisted of 280 students, with a sample size of 162 participants. Employing a purely…

Deep learning has gradually appeared in the field of teacher education research and is considered as an effective way to promote teacher professional development. To explore the relationship between teacher gender and deep learning strategies, as well as the mediating role of teachers' deep learning motivation, we conducted a questionnaire survey…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

This paper illustrates the design-based learning (DBL) approach to promoting the deep learning of students and improving the quality of teaching in engineering design education. We performed three aspects of research with students in a typical educational activity. The first study investigated students' deep learning before and after the DBL…

The rotational synchronous teaching (RST) model has attracted attention as it can increase the teaching presence and connected classroom climate in multiple synchronous classroom learning environments. This paper presents an investigation of the effects of the relationships between college students' perception of teaching presence, connected…

Recommender systems are increasingly being used in university or online education. However, recommender systems still have not found major usage in K12 education. This may be because of the unique challenges that recommender systems face when used by a young and diverse population. However, recommender systems for K12 education could provide many…

The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…

This study investigates pupils' experiences with learning outside the classroom and discusses how these experiences might contribute to 'deep learning' according to a pragmatist theoretical framework and a situated perspective on knowledge. The data comprise materials from three months of fieldwork with participatory observations and qualitative…

Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to quantify how much a given course or curriculum evokes deep learning. The predictive validity of…

Purpose: This study aims to examine the relationship between undergraduates' course experience and their deep learning approach and to identify areas of improvement to facilitate students' deep learning in the private higher education context. Design/methodology/approach: Data were collected from 844 Malaysian undergraduate students who studied in…

From a cognitivist theory stance, domain-specific subject knowledge is necessary for deep learning and cognitive advance. What opportunities for deep learning and cognitive advance are provided in geography classrooms? This analysis of teaching in geography classrooms is framed by the concepts of deep learning, pedagogic discourse, and a…

This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…