基于学生任务建模的开放性问题解决环境的设计与评价

开放性问题解决环境是一种全新的互动学习环境，其设计、分析与评价是一个综合了方法论、技术、系统性等多方面因素的复杂过程。通过对国外有关文献的分析研究，介绍了与教育环境设计与评价有关的问题，概括了基于学生任务建模概念的设计与评价框架结构，并探讨了设计与评价的支持工具的可用性问题以及该框架结构在开放性问题解决教育环境的评价过程中所产生的积极作用。     

多通道界面对残障网络用户的人文关怀

针对残障网络用户获取网络信息的障碍问题，介绍残障网络用户的特征、残障网络用户与信息无障碍建设的关系和多通道界面，得出多通道界面可以为残障网络用户打造一条信息无障碍通道以克服身体功能缺失带来的获取信息障碍的结论，以期达到为残障网络用户更好地提供人文关怀的目的;同时，介绍多通道界面技术通过硬件界面、软件界面和网络界面三方面来实现对残障网络用户的人文关怀。     

基于串并口的综合实验设计

本文介绍了基于可编程串行通信接口芯片8251A、可编程并行通信接口芯片8255A在TDN86/51实验系统上自行设计的综合型双机通讯实验。该实验综合运用了串并行通信的工作原理、闭合键的识别原理、LED显示原理以及8253计数器/定时器工作原理,有利于提高学生的综合设计能力。     

基于语音的人机交互界面的研究与实现

通过对人机界面设计中的人因素及其设计原则进行研究,提出了一个语音界面的交互模型。根据这个交互模型,开发了一个学生在线语音练习系统原型,并对这个系统进行可用性测试,提出相应的改进方案。     

普及型用户界面的理想模式

在读者应用图书馆计算机信息系统反映问题的基础上，从读者应用的角度，探讨理想的用户界面模式。     

无线数据接口传输系统的设计和实施

研究一种利用无线数据接口电路使计算机、单片机等数据终端与其它计算机进行双向数据传输的通信系统.该系统由无线发射-接收模块、PC机接口模块及控制电路组成,在此基础上叙述了系统的硬软件设计的实现方法.     

The first steps for adapting an artificial intelligence emotion expression recognition software for emotional management in the educational context

To test the suitability of an automatic system for emotional management in the classroom following the control-value theory of achievement emotions (CVT) framework, the performance of an emotional expression recognition software of our creation is evaluated in an online synchronous context. Sixty students from the Faculty of Education at the University of Alicante participated in 16 educational activities recording close-ups of their faces and completing the AEQ emotional self-report, as well as detailed reports from the subsequent review of their videos. In addition, they completed the VCQ-36 test to measure their volitional competencies and relate their influence on their emotional response. The results indicate a high coherence between the emotional expressions detected by the automatic system and the detailed emotional self-reports, but insufficient precision to meet the CVT requirements. On the other hand, both the AEQ test results and the emotion expression recognition software suggest students' preference for participative activities as opposed to passive ones. Meanwhile, statistical analysis results indicate that volitional competencies seem to influence the emotional response of students in the educational context, although the AI system does not show sufficient sensitivity in this field. Implications and limitations of this study for future work are discussed.

Practitioner notes

What is already known about this topic

• Student motivation and involvement in the learning process are highly related to appropriate emotional regulation, which can be associated with particular educational activities, strategies and methodologies.
• Deep learning technology based on convolutional neural networks feeds automatic systems focused on facial expression recognition from image analysis.

What this paper adds

• There is high coherence between the emotional expressions detected by the AI system and the students' emotional self-reports, but the AI system provides just emotional valences, insufficient to meet the CVT framework.
• Both emotional self-reports and the emotion recognition software suggest students' preference for active educational activities as opposed to passive ones.
• Volitional competencies seem to influence the emotional response of students in the educational context.

Implications for practice and/or policy

• It is possible to use automatic systems to effectively monitor the emotional response of students in the learning process.
• Only if sensitivity improved, a real-time, easy-to-interpret emotional expression recognition software interface could be implemented to assist teachers with the emotional management of their classes within the CVT framework, maximizing their motivation and engagement.