Learning through online peer discourse: Structural equation modeling points to the role of discourse activities in individual understanding

Although learning through discourse activities seems well-documented, it is unclear which mechanisms and behavioral variables are involved. What exactly contributes to learning when two or more learners interact in online learning environments? To analyze interrelations between central discourse activities and individual learning outcomes at the level of constructs, we applied structural equation modeling to data collected from 160 dyads engaging in written online learning discourses within a series of homogeneous experiments. We analyzed three theory-based indicators of conceptual elaboration activities during online discourse: the number of questions asked to receive information and expand knowledge, the number of explanations formulated to express individual knowledge, and the amount of on-task discourse. Individual conceptual understanding was represented by objective learning parameters that varied in each particular experimental task. These measured general understanding of the topic addressed and particular understanding of conceptual terms, complemented by the gain in individual self-assessed knowledge. Results of structural equation modeling revealed a strong effect of dyadic conceptual elaboration on individual understanding at the construct level, demonstrating that dyadic elaboration fosters the development of an elaborated individual understanding of specialist concepts and general content knowledge. Moreover, conceptual elaboration was best measured by the number of explanations during discourse. Implications regarding which features of collaborative learning settings promote mutual conceptual elaboration are discussed.     

Characteristics of pedagogical change in integrating digital collaborative learning and their sustainability in a school culture: e-CSAMR framework

Collaborative learning is perceived as an important component of Information Communication Technologies (ICT) integration in schools. The purpose of this study was to examine an initiative of the Ministry of Education that promoted intra-school and inter-school digital collaborative learning projects. The participants were 159 district ICT leaders, who designed 37 digital collaborative projects containing 73 learning activities to promote inter-school student interactions. The study was conducted within the qualitative research paradigm through analysis of digital collaborative learning activities. Additionally, the participants were required to share their experiences regarding digital collaboration through an open-ended online questionnaire. The thematic analysis revealed all four levels of the SAMR model, rating pedagogical changes during technological integration; the most common were the model's two middle levels: Augmentation and Modification. Moreover, we explored the degree of teamwork (information sharing, cooperation, or collaboration), complexity of collaboration (intra-school vs. inter-school) and sustainability of collaborative learning within the school culture. Most of the activities reflected the cooperation level of teamwork, while in the highest level—collaboration was less common. Surprisingly, complexity of collaboration and its sustainability in school culture were negatively interconnected. Regarding the extent of collaboration, some activities were categorized as “Islands of innovation,” the majority were comprehensive and conducted on the organizational level, while only few involved the wider community-parents or other stakeholders. Based on the bottom-up analysis of pedagogical changes in digital collaboration activities, we suggested a comprehensive e-CSAMR framework. The implications for educational theory and practice are discussed.     

Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model

This study has devoted much effort to developing an integrated model designed to predict and explain an individual’s continued use of online services based on the concepts of the expectation disconfirmation model and the theory of planned behavior. Empirical data was collected from a field survey of Cyber University System (CUS) users to verify the fit of the hypothetical model. The measurement model indicates the theoretical constructs have adequate reliability and validity while the structured equation model is illustrated as having a high model fit for empirical data. Study’s findings show that a customer’s behavioral intention towards e-service continuance is mainly determined by customer satisfaction and additionally affected by perceived usefulness and subjective norm. Generally speaking, the integrated model can fully reflect the spirit of the expectation disconfirmation model and take advantage of planned behavior theory. After consideration of the impact of systemic features, personal characteristics, and social influence on customer behavior, the integrated model had a better explanatory advantage than other EDM-based models proposed in prior research.     

Evaluation of reduced point charge models of proteins through Molecular Dynamics simulations: Application to the Vps27 UIM-1–Ubiquitin complex

Reduced point charge models of amino acids are designed, (i) from local extrema positions in charge density distribution functions built from the Poisson equation applied to smoothed molecular electrostatic potential (MEP) functions, and (ii) from local maxima positions in promolecular electron density distribution functions. Corresponding charge values are fitted versus all-atom Amber99 MEPs. To easily generate reduced point charge models for protein structures, libraries of amino acid templates are built. The program GROMACS is used to generate stable Molecular Dynamics trajectories of an Ubiquitin-ligand complex (PDB: 1Q0W), under various implementation schemes, solvation, and temperature conditions. Point charges that are not located on atoms are considered as virtual sites with a nul mass and radius. The results illustrate how the intra- and inter-molecular H-bond interactions are affected by the degree of reduction of the point charge models and give directions for their implementation; a special attention to the atoms selected to locate the virtual sites and to the Coulomb-14 interactions is needed. Results obtained at various temperatures suggest that the use of reduced point charge models allows to probe local potential hyper-surface minima that are similar to the all-atom ones, but are characterized by lower energy barriers. It enables to generate various conformations of the protein complex more rapidly than the all-atom point charge representation.     

Collaborative planning of inner-city-railway-tracks: A generic description of the geographic context and its dynamic integration in a collaborative multi-scale geometry modelling environment

Planning sub terrestrial inner-city-railway-tracks is an interdisciplinary and highly complex task, which involves plenty of different stakeholders. Currently, the different planners work more or less separated in an asynchronous manner. To facilitate a collaborative planning process between these different stakeholders we developed a collaboration platform. Clearly, the integration of geographical information and geoprocessing results into the planning process and the different modelling tools will improve this process in a significant way. In this paper, we show how to describe the needed geographical information by so-called Geospatial Web Service Context Documents in a suitable way and how to integrate these pieces of information into the different planning tools via the collaboration platform in a unified, dynamic, and generic way.     

Perceived risks, counter-beliefs, and intentions to use anti-/counter-terrorism websites: An exploratory study of government–citizens online interactions in a turbulent environment

This study examines the relationships between various risks, beliefs, and behavioral intentions that are related to citizens' use of anti-/counter-terrorism e-Government websites. The data was collected through two surveys within a one-year interval — before and after the Iraqi regime was expelled by the US coalition army. The results suggest that perceived privacy risk from an anti/counter-terrorism authority is the major obstacle in citizen-to-government anti/counter-terrorism information flow, while citizens' belief in the authority's domain competence greatly influences citizens' dependence on anti/counter-terrorism website information. Other findings and implications are discussed, and directions for future research are suggested.