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…

The impact of the COVID-19 global pandemic on schools was massive and unprecedented. Many schools were forced to close, and teachers were forced to deliver their instruction online with a very short notice. To assist K-12 teachers to teach remotely, a simple instructional design model, CAFE (Content, Activities, Facilitation, & Evaluation),…

This paper describes the design and development of a competency model for online instructors based on literature reviews, student surveys, and other artifacts. The first development phase included a literature review centered around researched-based competencies for online instructors and existing theories used to evaluate online instructional…

How can faculty development (FD) support responsive innovations? At one end of the spectrum are rich, time-intensive programs grounded in frameworks like the Scholarship of Teaching and Learning, where instructors' innovations are part of larger projects in which they design and conduct comprehensive research studies in their courses. At the other…

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,…

Recent research regarding personalized web based educational systems demonstrate learners' motivation to be an essential component of the learning model. This is due to the fact that low motivation results in either students' less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of…

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…

The COVID-19 epidemic has had a strong impact on the implementation of the entire educational process due to the closure of public life and schools. Physical education (PE) teachers were faced with the challenge of conveying at a distance the learning content that they would otherwise teach in the sports hall. Our research aimed to determine which…

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…

What we are doing to continue learning during the current pandemic is not so much an experiment as a reaction. Given the rush to provide schooling for children and young people, helpful terms such as "distance learning", "online schooling" and "homework" are mentioned. The author notes that both educators and…