Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Introduction to the special issue on teaching and learning in information retrieval

We present an overview of the special issue in this paper. The main objective is to provide information for lecturers on how to improve the student experience, using current knowledge in the field. To this end we present an overview of six papers covering areas as diverse as tools and methods used to support teaching and learning, pedagogical challenges in teaching mathematics for search, etc.     

Learning design and learning analytics in mobile and ubiquitous learning: A systematic review

Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported benefits, these environments imply additional complexity in the design, monitoring and evaluation of learning activities. The research literature on learning design (LD) and learning analytics (LA) has started to deal with these issues. This paper presents a systematic literature review of LD and LA, in m/u-learning. Apart from providing an overview of the current research in the field, this review elicits elements of common ground between both communities, as shown by the similar learning contexts and complementary research contributions, and based on the research gaps, proposes to: address m/u-learning beyond higher education settings, reinforce the connection between physical and virtual learning spaces, and more systematically align LD and LA processes.     

An introduction to the special issue on wisdom and moral education

ABSTRACT

This essay introduces the present special issue on wisdom and moral education, which draws on a conference held in Oxford in 2017. Some of the seven contributions (by Sanderse; Ferkany; and Hatchimonji et al.) make use of the Aristotelian concept of phronesis, or practical wisdom, while others focus more on the wisdom concept as it has developed in contemporary psychology (Huynh and Grossman; Ardelt; and Brocato, Hix and Jayawickreme). One (by Swartwood) straddles the distinction between the two. All the contributions, however, address in different ways practical questions about how wisdom can be evaluated and how it relates to issues of moral development and education.     

Job change in later life: A process of marginalization?

Adopting a longitudinal approach, this article examines downward occupational mobility (DOM) later in working life and its effects on job satisfaction and perceptions of working conditions of older workers in Europe. The main aim was to test whether the risk that workers will be negatively impacted and marginalized in the labor market due to demotion into lower quality jobs is offset by benefits. Based on an ordinal logistic regression of merged Survey of Health, Ageing and Retirement in Europe and English Longitudinal Study of Ageing datasets, the study found a positive significant impact of DOM on overall job satisfaction. Moreover, DOM was associated with a statistically significant reduction in workload pressure, although it did increase physical work demand. This article adds to the literature on marginalization of workers with indications that the lower income and status associated with DOM at older ages may have offsetting benefits.     

Improving mathematics results: does teachers’ academic optimism matter? A study of lower secondary schools

Educational effectiveness research has provided evidence about the importance of teacher beliefs and attitudes for teaching and learning. This study builds on the concept of academic optimism, which combines 3 aspects of a teacher’s professional creed: self-efficacy, trust, and academic emphasis. The study explores the functioning of the collective and individual measures of academic optimism in the Czech environment and studies its impact on students’ outcomes. The analyses are based on pilot data from 39 schools, 325 teachers, and 1,316 Grade 9 students and on the data from the Czech Longitudinal Study in Education (CLoSE), covering 163 schools, 1,469 teachers, and 4,798 students. The individual measure was selected for further studies based on 2-level confirmatory factor analysis. Two-level structural equation modelling showed a significant impact of a school’s academic optimism on students’ achievement even after controlling for prior achievement and socioeconomic status at both the student and the school level.     

Sustainable development as a driver for educational innovation in engineering school: the case of UniLaSalle

ABSTRACT

The potential relationships between innovation and sustainability processes, in engineering education, is neither obvious nor simple, especially when innovation, generally speaking, is promoted regardless of sustainability. We used UniLaSalle (In January 2016, the ‘Institut Polytechnique LaSalle Beauvais’, a French engineering school, merged with another higher education engineering school (ESITPA, Rouen). Both campuses (Beauvais and Rouen) have a common name: UniLaSalle (www.unilasalle.fr). As the interview began during 2015, this article only describes the situation of the Beauvais campus.) as a ‘living Lab’ to identify and analyse the reasons for the integration of innovation and Sustainable Development (SD) in training programmes. The aim is to explore, in a perception and reflective approach, how SD can be understood as a driver for specific innovation attitudes in higher education engineering school. This paper adopts an empirical approach based on a qualitative study, using NVivo 9 software to analyse non-numerical data. Our research suggests that SD can be a structural driver for innovation if it is integrated in a transdisciplinarity approach and not just as a discipline per se.     

Balance in Positive Emotional Expressivity Across School Contexts Relates to Kindergartners’ Adjustment

Positive emotional expressivity has been associated with increased social competence and decreased maladjustment in childhood. However, a few researchers have found null or even positive associations between positive emotional expressivity and maladjustment, which suggests that there may be nuanced associations of positive expressivity, perhaps as a function of the social context in which it is expressed. We examined whether observed positive emotional expressivity balance across peer-oriented/recreational and learning contexts predicted kindergarten children’s adjustment (N = 301). Research Findings: Higher positive expressivity during lunch/recess compared to positive expressivity in the classroom was associated with lower teacher–student conflict, externalizing behaviors, and depressive symptoms. In addition, overall positive emotional expressivity predicted lower externalizing behaviors as well as lower depressive and anxiety symptoms. Practice or Policy: The results suggest the importance of assessing observed positive emotional expressivity in context as a potential indicator of children’s maladjustment risk and the need for children to adapt their emotions to different contexts. Implications for assessing and supporting positive emotional expression balance and training emotional regulation in school are discussed.