Optimization of Interactive Videos Empowered the Experience of Learning Management System

The Learning management system(LMS)is now being used for uploading educational content in both distance and blended setups.LMS platform has two types of users:the educators who upload the content,and the students who have to access the content.The students,usually rely on text notes or books and video tutorials while their exams are conducted with formal methods.Formal assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive mode.The aim is to design an interactive LMS and examination video-based interface to cater the issues of educators and students.It is designed according to Human-computer interaction(HCI)principles to make the interactive User interface(UI)through User experience(UX).The interactive lectures in the form of annotated videos increase user engagement and improve the self-study context of users involved in LMS.The interface design defines how the design will interact with users and how the interface exchanges information.The findings show that interactive videos for LMS allow the users to have a more personalized learning experience by engaging in the educational content.The result shows a highly personalized learning experience due to the interactive video and quiz within the video.

Visualized and precise design of artificial small RNAs for regulating T7 RNA polymerase and enhancing recombinant protein folding in Escherichia coli

Small non-coding RNAs(sRNAs)have received much attention in recent years due to their unique biological properties,which can efficiently and specifically tune target gene expressions in bacteria.Inspired by natural sRNAs,recent works have proposed the use of artificial sRNAs(asRNAs)as genetic tools to regulate desired gene that has been applied in several fields,such as metabolic engineering and bacterial physiology studies.However,the rational design of asRNAs is still a challenge.In this study,we proposed structure and length as two criteria to implement rational visualized and precise design of asRNAs.T7 expression system was one of the most useful recombinant protein expression systems.However,it was deeply limited by the formation of inclusion body.To settle this problem,we designed a series of asRNAs to inhibit the T7 RNA polymerase(Gene1)expression to balance the rate between transcription and folding of recombinant protein.Based on the heterologous expression of Aspergillus oryzae Li-3 glucuronidase in E.coli,the asRNA-antigene1-17bp can effectively decrease the inclusion body and increase the enzyme activity by 169.9%.

Comparison of the Feasible Schemes for HT-7U Assembly Simulation

The whole superconducting HT-7U Tokamak is a high-cost and large-scale complicated device. The assembly requirement of HT-7U device is arduous and strict. At present, there have been no guiding principle for the assembly of the device, but assembly simulation can help the engineer plan and make decision by an intuitional and visual way before its actual assembly. The problem is that which scheme is most suitable should be solved primarily. From current research situation and technology progress of assembly simulation, this paper explained and analyzed four kinds of technological schemes of assembly simulation in common use. Finally, we got the most feasible scheme that was suitable for HT-7U assembly simulation by comparing their technological issues and difficult points of simulation among the four kinds of feasible schemes.

Motivation effect of animated pedagogical agent's personality and feedback strategy types on learning in virtual training environment

Background The personality and feedback of an animated pedagogical agent(APA)are vital social-emotional features that render the agent perceptually believable.Their effects on learning during virtual training need to be examined.Methods In this paper,an explanation model is proposed to clarify the underlying mechanism of how these two features affect learners.Two studies were conducted to investigate the model.In Study 1,the effect of the APA's personality type and feedback strategy on flow experience and performance was reexamined,revealing significant effects of the feedback strategy on flow and performance and a marginally significant effect of the personality type on performance.To explore the mechanism behind these effects,a theoretical model is proposed by distinguishing between intrinsic and extrinsic motivation effects.In Study 2,the model was evaluated,and the APA's personality type was found to significantly influence the factors in the path of the extrinsic motivation effect rather than those in the path of the intrinsic motivation effect.Results In contrast,the feedback strategy affected factors in the path of the intrinsic motivation effect.Conclusions These results validated the proposed model.Further distinguishing the two motivation effects is necessary to understand the respective effects of an APA's personality and feedback features on learning experiences and outcomes.

X-Space:Interaction design of extending mixed reality space from Web2D visualization

Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for each combination,we need to customize the implementation of the corresponding mixed reality 3D visualization.It is a challenge to simplify this development process and enable agile building of mixed reality 3D visualizations for 2D visualizations.In addition,many existing 2D visualizations do not provide interfaces oriented to immersive analytics,so how to extend the mixed reality 3D space from existing 2D visualizations is another challenge.This work presents an agile and flexible approach to interactively transfer visualizations from 2D screens to mixed reality 3D spaces.We designed an interactive process for spatial generation of mixed-reality 3D visualizations,defined a unified data transfer framework,integrated data deconstruction techniques for 2D visualizations,implemented interfaces to immersive visualization building tool-kits,and encapsulated these techniques into a tool named X-Space.We validated that the approach is feasible and effective through 2D visualization cases including scatter plots,stacked bar charts,and adjacency matrix.Finally,we conducted expert interviews to discuss the usability and value of the method.

An inter-semiotic analysis of ideational meaning in text-prompted AI-generated images

This paper explores the inter-semiotic analysis of the ideational meaning in images generated by the text-to-image AI tool,Bing Image Creator.It adopts Kress and Van Leeuwen’s Grammar of Visual Design as its theoretical framework as the original grounding of the framework in systemic functional grammar(SFG)ensures a solid theoretical basis for undertaking analyses that involve the incorporation of textual and visual components.The integration of an AI generative model within the analytical framework enables a systematic connection between language and visual representations.This incorporation offers the potential to generate well-regulated pictorial representations that are systematically grounded in controlled textual prompts.This approach introduces a novel avenue for re-examining inter-semiotic processes,leveraging the power of AI technology.The paper argues that visual representations possess unique structural devices that surpass the limitations of verbal or written communication as they readily accommodate larger amounts of information in contrast to the limitations of the linear nature of alphabetic writing.Moreover,this paper extends its contribution by critically evaluating specific aspects of the Grammar of Visual Design.