Online teaching has become an inevitable trend in education as technology and engineering advance. It is necessary to train and foster online teaching competence for lecturers at higher education institutions. This article uses the literature review and the theoretical method to analyze the existing proposals on models and frameworks of online…

This paper aims to analyze the factors that influence the effects of MOOC-based teaching in universities and find an effective way to make the advantages of MOOCs be better played. Considering the factors affecting MOOC-based teaching are complicated, we take a university course (Ideological and Political Education) as an example to analyze the…

Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…

Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…

The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…

This study represented dimensions from the diffusion of innovations theory and the community of inquiry model to explore the adoption of web-conferencing. It used logistic regression to model the likelihood of adopting web-conferencing in online teaching with data collected from 66 college online instructors. In the logistic regression analyses,…

Higher education in science, technology, engineering, and mathematics (STEM) disciplines has been in a turbulent period for several decades. Pressures for reform include declining STEM student enrollments, high attrition rates from STEM curricula, and the rise of powerful alternative teaching strategies shown by cognitive science and educational…

Algorithmic thinking is considered as one of the important steps toward learning to code for novices in programming education. In this study, algorithmic thinking was promoted by introducing a Problem Analysis Algorithmic Model (PAAM) in an Algorithms and Programming 1 (AP) course. A web-based application is developed to offer the PAAM model in…

The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…

Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…

The recent COVID-19 pandemic has forced many institutes of higher learning across the globe to consider alternative modes of providing quality learning for students. However, developing and implementing safe spaces for academic advisement in online platforms that allow college students to explore their environment in an open and curious manner is…

Purpose: Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session,…

This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…

Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much practice and tutoring to master the skill of data modeling and database design. When a student is in a learning process,…

We present an accessible implementation of augmented reality projections for the depiction of complex structures and motifs, including atomic orbitals and elemental allotropes. The utilization of a free, cross-platform-compatible, online database of these structures provides the access route for closer examination, either via augmented reality or…