And-Or Dependence Graphs for Slicing Statecharts

The construction of an And-Or dependence graphs is illustrated, and its use in slicing statecharts is described. The additional structure allows for more precise slices to be constructed in the event of additional information, such as may be provided by static analysis and model checking, and with constraints on the global state and external events

And-Or Dependence Graphs for Slicing

The construction of an And-Or dependence graphs is illustrated, and its use in slicing statecharts is described. The additional structure allows for more precise slices to be constructed in the event of additional information, such as may be provided by static analysis and model checking, and with constraints on the global state and external events.

Development of Smartphone Application Based on the Theory of Planned Behaviour to Enhance Self-Efficacy for Online Learning

This study was conducted to develop a smartphone application to enhance self-efficacy for online learning. The theory of planned behaviour (TPB) was used as a framework for developing the smartphone app. The study used research and design (R&D) through three phases: 1) examining relevant literature and interviewing recognized experts in the field, 2) developing the smartphone app, and 3) studying the effect of the smartphone app on the self-efficacy of online learners. The results demonstrated that the framework of the smartphone application based on the TPB comprised six components. They were 1) the TPB’s concept for online learning, 2) instructional process, 3) instructional support tools, 4) application features, 5) instructor’s role, and 6) learner’s role. For technical aspects, the smartphone app was developed and deployed by using Amazon Web Service (AWS) cloud computing platform and infrastructure. Studying the effect of the application on self-efficacy was performed for four weeks using two groups in a pre-test/post-test design. The research method involved purposive sampling of 180 undergraduate students, consisting of a 90-student experimental group and a 90-student control group. The application based on the TPB and the application without the TPB were implemented in the experimental group and the control group, respectively. The results demonstrated that the post-test score of self-efficacy in online learning for the experimental group was statistically significantly higher than the control group at 0.05 level. This result showed that the smartphone app based on the TPB could significantly affect self-efficacy for online learners; it has the potential to be an effective tool for teaching an online course

An Exploration of Factors Influencing Self-Efficacy in Online Learning: A Systematic Review

This review examines 12 years of research by focusing on the following question: What are the factors that influence self-efficacy in an online learning environment? There has been a plethora of research concerning self-efficacy. However, few works have focused on the sources of self-efficacy in online-learning environments. Systematic searches of numerous online data-bases published between 2005 and 2017, which covered factors influencing self-efficacy in online learning context, resulted in the investigation of 25 studies. The data were extracted, organized and analyzed using a narrative synthesis. Results revealed that various factors improved self-efficacy and provided evidence of significant sources of self-efficacy in the context of online learning. Moreover, the investigation provides guidance for further research in designing online learning environments to enhance the self-efficacy of learners