Vocabulary Development and Trajectories of Behavioral and Emotional Difficulties Via Academic Ability and Peer Problems

This study investigates associations between trajectories of children's vocabulary development and subsequent behavioral and emotional difficulties via two potential mediating mechanisms; literacy and peer problems. Nationally representative data from 4,983 Australian children were used to examine trajectories of receptive vocabulary (4–5, 6–7, and 8–9 years) and hyperactivity-inattention, conduct problems and emotional symptoms (8–9, 10–11, 12–13, 14–15 years), and literacy and peer problems (8–9 years). Lower growth in vocabulary was related to trajectories of hyperactivity-inattention, conduct problems, and emotional symptoms. Literacy was a key mediator explaining these associations. Results were consistent for children below the 50th percentile for vocabulary at 4–5 years compared to the full sample. These findings suggest that early literacy-based interventions may alleviate declining academic, emotional and behavioral functioning in adolescence.     

Whole-Part-Whole Learning Model

The Whole–Part–Whole (WPW) Learning Model goes beyond the present holistic, behavioristic, wholepart, and part–whole learning models. The WPW Learning Model purports that there is a natural whole–part–whole rhythm to learning. Through the “first Whole,” the Model introduces new content to learners by forming in their minds the organizational framework required to effectively and efficiently absorb the forthcoming concepts into their repertoire of expertise. The supporting expertise and component behaviors are then developed in the classical behavioristic style of instruction found in the “Parts” aspect of the WPW Learning Model. After learners have successfully achieved the performance criteria for the individual “Parts,” or components within the whole, the instructor links these parts together, thus forming the “second Whole.” The whole–part–whole learning experience provides the learner with the complete understanding of the content at various levels of performance and allows for higher order development. The WPW Learning Model can be considered systematic on several counts. One is that the model can be utilized from initial program design to real–time (just in time) instructional adjustments during a live presentation.     

论指向生活意义的情感教育

情感在本质上是人对生活意义的感受与体验,生活意义是人的情感安顿之所。情感教育的目的在于序化并安顿人的情感,安顿人的情感并使之理性化的使命只能由“情感的教育”来承担,以情感为本体的“情感的教育”才是严格意义上的情感教育。情感教育应该引导受教育者觉解生活意义,建构完整的精神世界,更新、净化情感品质,跃迁、提升情感境界。     

思想道德素质的培养与素质教育

思想政治素质是素质教育的核心。本文从理想信念、道德养成、做人等方面加以论述,并提出加强思想道德素质教育的举措。     

Factors Influencing Interest in Research among Criminal Justice Students

This study explores factors influencing research interest (RI) among criminal justice students. The participants were 328 students at a mid‐western university. Results of a path analysis indicated that quantitative and computer skills and writing skills were significant predictors of RI. Statistics anxiety was a significant negative predictor of research design skills, practical research skills, and quantitative and computer skills. It also indirectly predicted RI via quantitative and computer skills. Statistics self‐efficacy was a significant predictor of research design skills, practical research skills, quantitative and computer skills, and writing skills, and also indirectly predicted RI via quantitative and computer skills as well as writing skills.     

Mining information across multiple domains: A case study of application to patent laws and regulations in biotechnology

In this paper, we present a framework that can process a user query for retrieval of information from documents of different properties across multiple domains, with specific application to patent laws and regulations. The framework has three basic components. The first component is ontology mapping and generation. What happens is that the keywords entered by users are mapped into a subset of relevant keywords. This step is performed by looking up those words in an ontology database. The second component is the joint and cross search in various document domains; in our case, they are patents and scientific publications. The last component is to modify the search results by applying user feedback statistics. The results of feedback will be saved as metadata for future uses.A case example is given to demonstrate how results from multiple domain searches can be combined using ontology and cross referencing. We use an example of well-known biotechnology patents on erythropoietin (EPO) and give detailed analysis on each document domain with this keyword. Relationships between each domain are demonstrated.A user feedback mechanism is also discussed in this paper. The ability to take user feedback into the framework is important. There is no doubt that domain knowledge from expert or experienced users could be a very good compliment to the proposed system. Both direct and indirect user feedbacks are discussed.