Dealing with temporal variation in patent categorization

In this paper, we quantify the existence of concept drift in patent data, and examine its impact on classification accuracy. When developing algorithms for classifying incoming patent applications with respect to their category in the International Patent Classification (IPC) hierarchy, a temporal mismatch between training data and incoming documents may deteriorate classification results. We measure the effect of this temporal mismatch and aim to tackle it by optimal selection of training data. To illustrate the various aspects of concept drift on IPC class level, we first perform quantitative analyses on a subset of English abstracts extracted from patent documents in the CLEF-IP 2011 patent corpus. In a series of classification experiments, we then show the impact of temporal variation on the classification accuracy of incoming applications. We further examine what training data selection method, combined with our classification approach yields the best classifier; and how combining different text representations may improve patent classification. We found that using the most recent data is a better strategy than static sampling but that extending a set of recent training data with older documents does not harm classification performance. In addition, we confirm previous findings that using 2-skip-2-grams on top of the bag of unigrams structurally improves patent classification. Our work is an important contribution to the research into concept drift for text classification, and to the practice of classifying incoming patent applications.     

CURRENT ARTICLES

In the post-pillarized society of the Netherlands, formal religious education still is structured according to religious dividing lines. “Religion” in confessional schools is a compulsory subject; in public schools, taking a so-called neutral position with regard to religious traditions, “Religion” is an optional subject (Protestant, Roman Catholic, or Islamic religious education or Humanistic World View Education), taught to pupils on parents’ request. Nowadays, due to processes of modernization, globalization, and individualization, the position of religion in society has changed and subsequently the position of “Religion” as a subject in classes has changed. These days for principals and teachers in public schools it is urgent to reflect on their positionality regarding (religious and secular) worldview education. In this contribution we present our findings from document analysis and from (focus group) interviews with principals, and from observations in public schools, resulting in a plea for “Life Orientation for all” as a compulsory subject in all schools for all pupils.     

Persons pursuing multiple objects of interest in multiple contexts

European Journal of Psychology of Education - Whereas much research on interest development focuses on single, predefined, and generic objects of interest (e.g., science) in specific contexts...     

Understanding teachers’ routines to inform classroom technology design

Secondary school teachers have quite busy and complex routines in their classrooms. However, present classroom technologies usually require focused attention from teachers while being interacted with, which restricts their use in teachers’ daily routines. Peripheral interaction is a human-computer interaction style that aims to enable interaction to take place both in the center and periphery of users’ attention and naturally shift between the two. We believe that classroom technologies employing the principles of peripheral interaction can reduce attentional resources required for teachers to interact with the technologies, and thus make technologies seamlessly blend into teachers’ routines. In order to design such technologies, a thorough understanding of users’ existing routines is crucial. In this paper, we present a qualitative study on everyday routines of seven Dutch secondary school teachers using contextmapping methodology. The results of two qualitative content analyses reveal an overview of teachers’ routine tasks in their classrooms, as well as rich and vivid contextual information about how teachers allocated their attention in their routines and how teachers experience their routines. Based on these findings, we present opportunities and considerations that may inform the design and development of classroom technologies which are to become part of teachers’ routines.     

Neuropsychological treatment of dyslexia: does type of treatment matter?

In this study, 123 children with a diagnosis of developmental dyslexia were assigned to different treatment groups, either variations of Bakker's intervention program based on the balance model or a control, a specific reading training group. Thorough cognitive and neuropsychological assessment allowed determination of the subtype of dyslexia according to the balance model and the neuropsychological profile with respect to reading and spelling abilities, verbal memory, and phonemic awareness. Characteristics of hemisphere-specific stimulation were systematically manipulated in an effort to shed light on the bases and mechanisms of reading improvement. It was shown that the effects of treatment vary according to type of dyslexia and that the different intervention programs have differential effects on reading-related neuropsychological functions. Since opposite effects can be produced by the same type of treatment in different dyslexia subtypes, the results of the study suggest that accurate classification of subtype on the base of reading and reading-related variables is advantageous for an optimal planning of the therapy.     

Student perceptions of effective lecturers: the need to recognise the role of ethnicity and choice of discipline

ABSTRACT

University student perceptions of effective teaching have been explored in previous studies, however, research is lacking regarding how perceptions of teaching efficacy vary by ethnicity and programme of study. In this study, student perceptions of effective teaching are explored between STEM (Science, Technology, Engineering, and Mathematics) and non-STEM major students of four ethnic groups: Europeans, Asians, Māori, and Pasifika. The study sample comprised 2073 students from a New Zealand university who completed a survey in 2016. Firstly, the findings indicated that non-STEM major students were more likely to report culturally knowledgeable as an important characteristic compared to STEM major students. Secondly, the distribution referring to content knowledgeable, creative, culturally knowledgeable, and passionate as characteristics of effective teaching was different between the four ethnic groups. In detail, Europeans and Māori were more likely to refer to content knowledgeable than Pasifika students, while Pasifika students were more likely to refer to culturally knowledgeable compared to Europeans. Furthermore, the highest percentage of referring to creative as a characteristic of effective teaching was for Asians, and the highest percentage of referring to passionate was for Māori students. The findings imply that lecturers should be well informed about these differences to be able to improve the quality of their teaching and student learning.     

Proportional reasoning in the laboratory: an intervention study in vocational education

Based on insights into the nature of vocational mathematical knowledge, we designed a computer tool with which students in laboratory schools at senior secondary vocational school level could develop a better proficiency in the proportional reasoning involved in dilution. We did so because we had identified computations of concentrations of chemical substances after dilution as a problematic area in the vocational education of laboratory technicians. Pre- and post-test results indeed show that 47 students aged 16–23 significantly improved their proportional reasoning in this domain with brief instruction time (50–90 min). Effect sizes were mostly large. The approach of using a visual tool that foregrounds mathematical aspects of laboratory work thus illustrates how vocational mathematical knowledge can be developed effectively and efficiently.     

A boundary-crossing approach to support students’ integration of statistical and work-related knowledge

Vocational students and beginning professionals typically find it hard to integrate the mathematics and statistics that they have learned at school with work-related knowledge. To explore how such an integration process could be supported, we conducted an intervention in secondary vocational laboratory education. Our boundary-crossing approach was informed by the literature on boundary crossing and accompanying learning mechanisms (e.g., reflection in the form of perspective making and taking, and transformation in the form of hybridization). We hypothesized that reflection, as making and taking perspectives on school-taught and work-related knowledge, could lead to transformation, i.e., help students integrate these types of knowledge into a hybridized whole. Data collection included video and audio recordings of five 1-h meetings with three students, the data from their research projects, and interviews with the teacher and two workplace supervisors. The analysis of the students’ reasoning during the meetings revealed that their level of integrating school-taught statistics and work-related knowledge increased significantly and with a medium effect size. This suggests that a boundary-crossing approach can support students in integrating school-taught and work-related knowledge.