CAL delivery selection criteria and authoring systems

Abstract  In the past, authoring systems have been used to generate computer-assisted learning materials that have often followed the rather restrictive programmed learning format. A number of innovative ways of using recently developed systems to develop CAL packages that include a wider range of learning activities (access to data bases, simulations, interactive video, etc.) are described. Analogous to the concept of a media selection model, a computer delivery mode selection model is presented as an aid to decision making for designers. This increase in flexibility should broaden the applicability of computerassisted learning (CAL) to a wider range of educational objectives and raise the level of the cognitive emphasis in learning packages, as well as facilitate the implementation of visually appealing materials. The paper also implies a standard of acceptability for authoring systems.     

KNOWLEDGE-BASED FEATURE DISCOVERY FOR EVALUATION FUNCTIONS

Since Samuel's work on checkers over thirty years ago, much effort has been devoted to learning evaluation functions. However, all such methods are sensitive to the feature set chosen to represent the examples. If the features do not capture aspects of the examples significant for problem solving, the learned evaluation function may be inaccurate or inconsistent. Typically, good feature sets are carefully handcrafted and a great deal of time and effort goes into refining and tuning them. This paper presents an automatic knowledge-based method for generating features for evaluation functions. The feature set is developed iteratively: features are generated, then evaluated, and this information is used to develop new features in turn. Both the contribution of a feature and its computational expense are considered in determining whether and how to develop it further.
This method has been applied to two problem-solving domains: the Othello board game and the domain of telecommunications network management. Empirical results show that the method is able to generate many known features and several novel features and to improve concept accuracy in both domains.     

A fuzzy hierarchical reinforcement learning based scheduling method for semiconductor wafer manufacturing systems

Scheduling semiconductor wafer manufacturing systems has been viewed as one of the most challenging optimization problems owing to the complicated constraints, and dynamic system environment. This paper proposes a fuzzy hierarchical reinforcement learning (FHRL) approach to schedule a SWFS, which controls the cycle time (CT) of each wafer lot to improve on-time delivery by adjusting the priority of each wafer lot. To cope with the layer correlation and wafer correlation of CT due to the re-entrant process constraint, a hierarchical model is presented with a recurrent reinforcement learning (RL) unit in each layer to control the corresponding sub-CT of each integrated circuit layer. In each RL unit, a fuzzy reward calculator is designed to reduce the impact of uncertainty of expected finishing time caused by the rematching of a lot to a delivery batch. The results demonstrate that the mean deviation (MD) between the actual and expected completion time of wafer lots under the scheduling of the FHRL approach is only about 30 % of the compared methods in the whole SWFS.     

赋权学生:混合式学习模式的应有之意——以通识类课程社会学的教学实践为例

工业化时代的传统教学模式已滞后于后福特主义生产模式对劳动者的需要。混合式学习模式在最近二十年发展起来,具有知识载体的多元化、知识获取的易得性,以及知识形式的丰富性等显著特征。在社会学的课程实践中,运用混合式学习模式,将赋权学生的教学理念融入课前、课中和课后三个阶段,精心的教学设计激发学生的主体意识,取得较好的教学效果。     

Learning experiences from digital laboratory safety training

We present a digital laboratory safety training platform called AALTOLAB which we have developed to address the need for more flexible and engaging ways to teach laboratory safety for chemical engineers. AALTOLAB consists of an interactive, web-based 360° virtual laboratory, integrated with a Moodle-based digital exam with automatic assessment. The modular platform offers different modules from general comprehensive laboratory training to more specialised modules. Students and staff can freely navigate in the laboratory rooms at any time and interact with different action points including interactive videos, slideshows, and minigames. Our technical solution allows teachers even with limited technological skills to easily modify the training materials in real time. The relationship of students’ learning experiences and level of learning is also discussed. We believe that our safety training concept facilitates deep learning and students’ engagement, thus improving safety culture in our laboratories.     

Exploring teachers' perceptions on different CSCL script editing tools

Despite the apparent maturity of the learning design field, and the variety of tooling available to support it, adoption among the teacher community (one of its alleged main targets) is still low. There is a lack of research on teachers' perception and use of different technological learning design tools, as existing evaluations are often restricted to a single tool. In order to explore whether there are common factors hampering teacher adoption, and which tool features might appeal to different teachers, more studies involving multiple authoring tools are needed. This paper provides a first step in this direction, describing a mixed methods study performed around a professional development workshop with 18 university teachers from multiple disciplines. This workshop exposed teachers to two different authoring tools (WebCollage and EDIT2), as they learned to create computer-supported collaborative learning (CSCL) designs and implement them. The findings of our interpretive study (which included questionnaires, observations, or group discussion recordings) support the idea that there is no single tool or set of features that are globally perceived as better, although our evidence also highlights certain factors as important for participant teachers – amongst others, the integration of learning designs with the ICT platforms for enactment, as well as with other tools that they already use in their everyday practice.     

我国二氧化硫氧化制硫酸的钒催化剂现状和展望

从钒催化剂的生产、市场、开发、质量等方面分析我国二氧化硫氧化制硫酸催化剂的现状，指出我国钒催化剂与国外产品存在的差距和原因，提出发展钒催化剂的对策。     

搅拌设备设计的几点体会

从搅拌轴的支承条件、轴承间最佳距离的确定以及搅拌轴的稳定器等几个方面讨论 ,分析了其对搅拌设备设计的影响 ,并提出了相应的措施和方法。     

直流电桥法测量电缆故障点的距离

迅速、准确地探测故障点的位置对保证故障电缆的及时修复有着重要意义。介绍了电缆故障的性质和直流电桥法测量电缆故障点距离的原理，着重阐述了几种常用的电缆接地故障的测量方法，并提出在实际生产、施工中，应根据具体情况选取合理的仪器及测量方法，迅速、准确地探测故障点的位置，以保证故障电缆的及时修复。     

脂肪醇生物活性和理化性质的QSAR/QSPR研究

为了研究脂肪醇结构-性质(活性)的定量关系,用相对键长取代拓扑距离,结合距离矩阵,提出了距离调和拓扑指数Te,Te和醇的许多理化性质和生物活性具有良好的相关性.用Te及δ(醇中和羟基相连的碳原子的支化度)与脂肪醇的溶解度、辛醇/水分配系数、急性生物毒性、蒸发热、摩尔磁化率关联,复相关系数分别为0.9955,0.9951,0.9941,0.9964,0.9968,优于文献.同时与脂肪醇的气相色谱保留指数也相关得很好,相关系数为0.9956.结果表明,Te指数可用于醇多种理化性质和生物活性的预测.