Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…

Peer assessment is a method that has shown a positive impact on learners' cognitive and metacognitive skills. It also represents an effective alternative to instructor-provided assessment within computer-based education and, particularly, in massive online learning settings such as MOOCs. Various platforms have incorporated this mechanism as an…

Given the increasing number of research on social media for educational purposes, few studies have examined the scientific literature in this field of interest. However, reviews that comprehensively mapped this research landscape in a broader view remain very limited. It is on this premise that the current study identifies the growth trajectory,…

With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…

Understanding students' behavior while solving tasks at various levels is essential for the support educators may provide to students. The current study reports on a large-scale exploration of students' activity in an online learning environment for mathematics, while comparing between lower-order thinking (LOT) and higher-order thinking (HOT)…

We propose a minimum learning judgment system that is appropriate for online learning environments, and we verify this minimum learning judgment system through various experiments. By focusing on the learning effort, this system can easily and quickly determine whether learners have exerted the minimum effort required for learning. To do this, the…

Massive open online courses (MOOCs) show great potential to transform traditional education through the Internet. However, the high attrition rates in MOOCs have often been cited as a scale-efficacy tradeoff. Traditional educational approaches are usually unable to identify such large-scale number of at-risk students in danger of dropping out in…

There are few studies devoted to analyze the relationships between the structure of the social network and performance in the online learning process as group. In this study, the Community of Inquiry (CoI) model is used as an analytical framework, along with quantitative content analysis and social network analysis, in order to identify the effect…

Cloud classrooms provide many advantages in higher education. However, little is known about the social influence of peer relationships on students' acceptance of cloud classrooms. This study utilized structural equation modeling to examine a model that integrates the Universal Theory of Acceptance and Use of Technology (UTAUT) and Connected…

Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the parameters that better reflect the activity and effort of students. In this scope, the current study…

With growing interest in and popularity of online learning and lifelong learners, students' ability to be engaged in self-regulated learning (SRL) has become more important. Moreover, online learning is becoming an important feature of K-12 education. Although SRL is known to be important and teachable, little research has been conducted on…

This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…

Feedback plays a critical role in student learning and performance. However, providing students with effective feedback is challenging in online environments because of physical separation between students and instructors. Technologies can be used to enhance the effectiveness of feedback in online courses. In this article, we propose effective…

Despite the promised benefits of MOOCs (Massive Open Online Courses) to address the digital divide and promote equity in educational opportunities, the use of MOOCs is still lagging especially in developing countries. The purpose of this study is to investigate the barriers underlying the adoption of MOOCs in the context of a developing country.…

In this study, we used the TPACK profile as a framework for evaluating teaching expertise in higher education. Through interviews and non-participant observation, we created individual TPACK profiles for three professors within a college of education in a large Midwestern university. The profiles illustrate how each professor's degree of Content,…