COVID-19 greatly increased the online delivery of higher education. But one limitation of online learning is that students often struggle to stay engaged while watching online lectures. We examined whether including an instructor's face in lecture videos (instructor visibility) enhances student engagement or learning. In two preregistered…

The paper examines the special aspects of using Big Data technology in education. The population was made up of 356 third-year university students. To study Big Data technology, a questionnaire was used where respondents rated: cloud technology; apps; Massive Open Online Courses (MOOCs) and digital learning platforms. The study suggested that the…

This study explored and analyzed student perceptions of feedback for deeper learning in an online graduate program at a regionally accredited institution in the southeastern United States. Forty-one graduate students participated in an online survey to examine students' preferences for feedback, the most helpful types of feedback, and if feedback…

This paper presents an empirical study with 150 graduate students at a business school to analyse the educational impact of experiential learning about process-oriented thinking in the classroom versus online learning setting. The results show that both learning settings are effective in increasing student performance but the increase in student…

When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…

The aim of this study was to model a situation that induced choice between following two incompatible rules, each associated with a different rate of reinforcement. In Experiment 1, eight undergraduate students were exposed to a two-component multiple schedule (training). In each component, there was a concurrent variable interval (VI)-extinction…

Mining problems and exploring rules are the key problems in the learning process, and also the difficulties in education big data. Therefore, taking learning behavior as the research objective, this study demonstrates the collaborative training method of multi view learning interaction process driven by big data, so as to realize the tendency…

As a teacher in the San Antonio Independent School District, Addison Davis encountered a significant challenge--maintaining student engagement during the last periods of the school day. These periods often felt like a battle between his students' growing restlessness and his efforts to keep them focused on the content. Initially, he relied heavily…

Although feedback is a widely used intervention for improving performance, it is unclear what characteristics individuals prefer and what is necessary for it to be effective. The purpose of this study was to systematically extend Simonian and Brand (2022) by addressing the limitations of the study and adding a best-treatment phase. During an…

Virtual reality (VR) technology has been widely used in nursing laboratory courses to effectively making up for the shortcomings of traditional teaching. However, challenges such as cell phone addiction, negative emotions, and reduced communication between teachers and students still exist during the application process, which makes it difficult…

As the higher education landscape undergoes rapid transformation, educators continue to seek best practices for creating quality digital, blended, and online learning experiences. However, disparate definitions of quality and differing instructor and student preferences complicate this work. This report addresses the pressing need to bridge the…

The study examines the impact of artificial intelligence (AI)-enhanced gamification on learning outcomes and motivation in English as a Foreign Language (EFL) contexts. A mixed-methods approach and quasi-experimental design were employed to compare the effectiveness of three instructional strategies: adaptive learning paths, conversational agents,…

'Motionese' can be defined as an exaggerated and repetitive action. It induces preference and learning in infants. However, which action component of motionese promotes infants' preference and learning remains largely unknown. In this study, we focused on inefficiency and toward-ness of action. Our study demonstrates that observing an inefficient…

In classification learning of artificial stimuli, participants learn the perfectly diagnostic dimension better than the partially diagnostic dimensions. Also, there is a strong preference for a unidimensional categorization based on the perfectly diagnostic dimension. In a different experimental procedure, called array-based classification task,…

With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…