The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…

With the escalation of the COVID-19 crisis, many educational institutions have turned to distance education, especially universities and higher education institutions, which may affect the quality of learning outcomes especially those related to deeper learning and academic mindfulness. The present study aimed at investigating the effectiveness of…

The objective of this research is based on human-centered AI in education to develop a personalized hybrid course recommendation system (PHCRS) to assist students with course selection decisions from different departments. The system integrates three recommendation methods, item-based, user-based and content-based filtering, and then optimizes the…

Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…

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…

In this study, we built a personalized hybrid course recommendation system (PHCRS) that considers students' interests, abilities and career development. To meet students' individual needs, we adopted the five most widely used algorithms, including content-based filtering, popularity-based methods, item-based collaborative filtering, user-based…

This action research study's primary purpose was to explore student and instructor experiences of chatbot use in online and hybrid undergraduate English composition courses. This qualitative study used structured and open-ended survey questions, interviews, and chat transcripts to collect data. The collaboration process among researcher and…

This research examines the experiences of German design educators during the Covid-19 pandemic and explores how these experiences influenced design education's transition to the online studio two years afterwards. The research is based on surveys of 33 German design educators who represent 18 higher education institutions (University/University of…

In this study, the researchers explore lecturers' perspectives on the impact artificial intelligence (AI) has on blended learning within the context of South African higher education. AI is transforming traditional teaching and learning by enabling academic institutions to offer computerised, effective, and objective educational processes. The…

The "community of inquiry" framework examines the interplay between four kinds of presence (teaching, cognitive, social, and learner) to promote effective learning in online education. This paper investigates the impact of "instructor participation" ("IP"), a key component of "teaching presence," on student…

In today's educational environment, the convergence of emerging technologies and active methodologies has become a fundamental driver of change in university education. Emerging technologies, such as artificial intelligence, virtual reality, machine learning, and data analytics, are redefining the dynamics of higher education. Active…

This study examines the effectiveness of a custom-designed chatbot in a blended learning environment, focusing on its adherence to instructional guidelines and its impact on student engagement. The chatbot was designed to prompt students with questions about concepts related to various academic majors, encourage elaboration on their responses, and…

This study implemented a blended learning mode with the aid of artificial intelligence teaching platform in the English language course. In this study, 110 students majoring in computer network were randomly selected as subjects, 55 of whom was the experimental group, the rest of 55 was the control group. Before the experiment, this study carried…

Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…

The research is focused on a comprehensive analysis of digitalization as a prerequisite for higher education modernization. The authors of this article consider the digital divide as a component of information inequality, which has a technological nature and presupposes unequal opportunities for access, use, and production of information and…