城镇化进程中农村留守儿童问题及对策

当前我国农村留守儿童的健康成长面临学习滞后、心理失衡、行为失范以及安全堪忧等方面的问题。妥善解决农村留守儿童问题应把农民工就地就近转移与鼓励农民工回乡创业结合起来,改善城市农民工子女就学条件并降低入学门槛,加大对农村教育的支持,大力发展职业教育,创新留守儿童的管理模式,发挥学校和社区在农村留守儿童管理工作中的重要作用。     

An investigation of gender and age differences in academic motivation and classroom behaviour in adolescents

This study investigated gender- and age-related differences in academic motivation and classroom behaviour in adolescents. Eight hundred and fifty-five students (415 girls and 440 boys) aged 11–16 (M age = 13.96, SD = 1.47) filled in a questionnaire that examined student academic motivation and teachers completed a questionnaire reporting student classroom behaviour. Interestingly, early adolescent boys’ (11–12 years) self-reported academic motivation was significantly more closely associated with reports of student classroom behaviour completed by teachers. However, a surprising result was the significant drop in girls’ adaptive motivation from early to mid-adolescence (13–14 years) and a significant increase in mid-adolescence (13–14 years). Furthermore, teachers reported a significant increase in negative classroom behaviour in mid-adolescent and late adolescent girls (15–16 years). The need to further understand the association between academic motivation and classroom behaviour at different stages in adolescence, and to design interventions to improve classroom behaviour, is deliberated.     

Locality-adapted kernel densities of term co-occurrences for location prediction of tweets

While geographical metadata referring to the originating locations of tweets provides valuable information to perform effective spatial analysis in social networks, scarcity of such geotagged tweets imposes limitations on their usability. In this work, we propose a content-based location prediction method for tweets by analyzing the geographical distribution of tweet texts using Kernel Density Estimation (KDE). The primary novelty of our work is to determine different settings of kernel functions for every term in tweets based on the location indicativeness of these terms. Our proposed method, which we call locality-adapted KDE, uses information-theoretic metrics and does not require any parameter tuning for these settings. As a further enhancement on the term-level distribution model, we describe an analysis of spatial point patterns in tweet texts in order to identify bigrams that exhibit significant deviation from the underlying unigram patterns. We present an expansion of feature space using the selected bigrams and show that it eventually yields further improvement in prediction accuracy of our locality-adapted KDE. We demonstrate that our expansion results in a limited increase in the size of feature space and it does not hinder online localization of tweets. The methods we propose rely purely on statistical approaches without requiring any language-specific setting. Experiments conducted on three tweet sets from different countries show that our proposed solution outperforms existing state-of-the-art techniques, yielding significantly more accurate predictions.     

Phospholipid—polymer amphiphile hybrid assemblies and their interaction with macrophages

Recently, the combination of lipids and block copolymers has become an alternative to liposomes and polymersomes as nano-sized drug carriers. We synthesize novel block copolymers consisting of poly(cholesteryl acrylate) as the hydrophobic core and poly(N-isopropylacrylamide) (PNIPAAm) as the hydrophilic extensions. Their successful phospholipid-assisted assembly into vesicles is demonstrated using the evaporation-hydration method. The preserved thermo-responsive property of the lipid-polymer hybrids is shown by a temperature dependent adsorption behaviour of the vesicles to poly(l lysine) coated surfaces. As expected, the vesicle adsorption is found to be higher at elevated temperatures. The cellular uptake efficiency of hybrids is assessed using macrophages with applied shear stress. The amount of adhering macrophages is affected by the time and level of applied shear stress. Further, it is found that shorter PNIPAAm extensions lead to higher uptake of the assemblies by the macrophages with applied shear stress. No inherent cytotoxicity is observed at the tested conditions. Taken together, this first example of responsive lipid-polymer hybrids, and their positive biological evaluation makes them promising nano-sized drug carrier candidates.     

Imaginaries and problematisations: A heuristic lens in the age of artificial intelligence in education

This paper suggests that artificial intelligence in education (AIEd) can be fruitfully analysed as ‘policies frozen in silicon’. This means that they exist as both materialised and proposed problematisations (problem representations with corresponding solutions). As a theoretical and analytical response, this paper puts forward a heuristic lens that can provide insights into how AI technologies (or advocated AI technologies) function as proposed solutions to certain problematisations based on various imaginaries about how education and learning are best performed or supported. The combined reading of imaginaries and problematisations can thereby aid in our understanding of why and how visions of learning and education are framed in relation to AIEd developments. The overall ambition is to advance theoretical and analytical approaches towards an educational system which is (anticipated as) increasingly permeated by AI systems—systems that also support and implement, more or less, invisible models, standards and assessments of learning, as well as more grand visions of (technology-augmented) education in society.

Practitioner notes

What is already known about this topic

• Artificial intelligence in education (AIEd) is repeatedly presented as a solution for a range of educational ‘problems’.
• This means that such ‘solutions’ must also frame certain aspects as ‘problems’.
• Such problems and ‘solutions’ (problematisations) also exist within certain imaginaries of the present times and of the future, where these problematisations are presented as particularly significant and acute, and promoting specific anticipations of learning and ideals of education.

What this paper adds

• An exposition of problematisations in educational settings.
• An exposition of educational imaginaries.
• A heuristic lens for understanding the ‘present’ and ‘future’ in a particular imaginary as entangled in, and dependent on, a certain ‘past’.

Implications for practice and/or policy

• The approach presented in this paper provides a heuristic lens for examining how AI technologies (or advocated AI technologies) function as proposed solutions to problematisations based on imaginaries about how education and learning are best performed or supported.
• This aids our understanding of how and why certain visions of learning and education are framed in relation to AIEd developments (real or imagined).
• It also advances theoretical and analytical approaches towards an educational system, which is (anticipated as) increasingly permeated by AI systems—systems that also support and implement, more or less, invisible models, standards and assessments of learning, as well as more grand visions of (technology-augmented) education in society.