自然科学与人文科学大数据——第六届中德前沿探索圆桌会议综述

大数据是知识经济时代的战略高地,是国家和全球的新型战略资源。作为思维的革命性创新,大数据为科学研究带来了新的方法论。第六届中德前沿探索圆桌会议以"自然科学与人文科学大数据"为主题,在"生物医药大数据"、"物理、化学与地球科学领域大数据"、"人文与社会科学领域大数据"和"大数据处理技术与方法"4个领域进行研讨,总结了大数据对于科学发现的重要作用、意义以及面临的重大问题,形成了关于发展科学大数据研究的相关建议。     

Need for approval and antisocial behavior moderate the effect of socioemotional cues on adolescent girls’ cognitive control

To examine whether need for approval (NFA) and antisocial behavior (ASB) moderate the effects of socioemotional stimuli on cognitive control, 88 girls (M_age = 16.31 years; SD = 0.84; 65.9% White) completed a socioemotional Go/No-go and questionnaires. At high approach NFA, girls responded more slowly during appetitive than control (b = −8.80, p < .01) and aversive (b = −5.58, p = .01) trials. At high ASB, girls responded more slowly (b = −6.12, p = .02) and less accurately (OR = 1.11, p = .03) during appetitive than aversive trials; at low ASB, girls responded more slowly during aversive than control trials (b = −4.42, p = .04). Thus, both context and individual differences influence adolescents' cognitive control.     

Focus of attention and choice of text modality in multimedia learning

The term ‘modality effect’ in multimedia learning means that students learn better from pictures combined with spoken rather than written text. The most prominent explanations refer to the split attention between visual text reading and picture observation which could affect transfer of information into working memory, maintenance of information in working memory or the effective size of working memory. The assumption of a continuous need for split attention is questionable, however. Learners can keep pictorial information in working memory, when they have seen the picture before, especially if they have higher prior knowledge. Instead of suffering from a permanent split attention, learners frequently show tendencies to simply ignore pictures. This suggests guiding learners towards picture analysis by picture-related text paragraphs. We assume that these paragraphs are associated with stronger modality effects than content-related paragraphs, especially if the pictures are new to learners. These assumptions were tested in an experiment with 120 students learning about volcanism from illustrated text consisting of segments each including a content-related paragraph followed by a picture-related paragraph describing the accompanying visualization. Content-related and picture-related paragraphs were presented as visual or auditory texts leading to 2x2 conditions of text presentation. Picture novelty was manipulated by presenting a picture throughout the whole segment or only when the picture-related paragraph was read. As expected, picture-related paragraphs were associated with stronger modality effects than content-related paragraphs if picture novelty is high. The distinction between different kinds of paragraphs seems to be important for the prediction of modality effects.     

Differential Learning as a Key Training Approach to Improve Creative and Tactical Behavior in Soccer

Purpose: The aim of this study was to identify the effects of a differential-learning program, embedded in small-sided games, on the creative and tactical behavior of youth soccer players. Forty players from under-13 (U13) and under-15 (U15) were allocated into control and experimental groups and were tested using a randomized pretest to posttest design using small-sided games situations. Method: The experimental group participated in a 5-month differential-learning program embodied in small-sided games situations, while the control group participated in a typical small-sided games training program. In-game creativity was assessed through notational analyses of the creative components, and the players’ positional data were used to compute tactical-derived variables. Results: The findings suggested that differential learning facilitated the development of creative components, mainly concerning attempts (U13, small; U15, small), versatility (U13, moderate; U15, small), and originality (U13, unclear; U15, small) of players’ actions. Likewise, the differential-learning approach provided a decrease in fails during the game in both experimental groups (moderate). Moreover, differential learning seemed to favor regularity in pitch-positioning behavior for the distance between players’ dyads (U13, small; U15, small), the distance to the team target (U13, moderate; U15, small), and the distance to the opponent target (U13, moderate; U15, small). Conclusions: The differential-learning program stressed creative and positional behavior in both age groups with a distinct magnitude of effects, with the U13 players demonstrating higher improvements over the U15 players. Overall, these findings confirmed that the technical variability promoted by differential learning nurtures regularity of positioning behavior.     

Formative assessment strategies for students' conceptions—The potential of learning analytics

Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for meaningful learning across disciplines, teachers are required to assess their students' conceptions. The focus of this article lies on the discussion of learning analytics for supporting the assessment of students' conceptions in class. The existing and potential contributions of learning analytics are discussed related to the named formative assessment framework in order to enhance the teachers' options to consider individual students' conceptions. We refer to findings from biology and computer science education on existing assessment tools and identify limitations and potentials with respect to the assessment of students' conceptions.

Practitioner notes

What is already known about this topic

• Students' conceptions are considered to be important for learning processes, but interpreting evidence for learning with respect to students' conceptions is challenging for teachers.
• Assessment tools have been developed in different educational domains for teaching practice.
• Techniques from artificial intelligence and machine learning have been applied for automated assessment of specific aspects of learning.

What does the paper add

• Findings on existing assessment tools from two educational domains are summarised and limitations with respect to assessment of students' conceptions are identified.
• Relevent data that needs to be analysed for insights into students' conceptions is identified from an educational perspective.
• Potential contributions of learning analytics to support the challenging task to elicit students' conceptions are discussed.

Implications for practice and/or policy

• Learning analytics can enhance the eliciting of students' conceptions.
• Based on the analysis of existing works, further exploration and developments of analysis techniques for unstructured text and multimodal data are desirable to support the eliciting of students' conceptions.