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。     

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.     

Extra‐credential experiences and social closure: Working‐class students at university

Human capital theorists perceive of educational expansion as beneficial to individuals, corporations and national economies, while social closure theorists have claimed that inflation of credential requirements maintains traditional status inequalities. In this paper I argue that status inequalities are not only maintained by credential inflation, but also the inflation of extra‐credential experiences. As undergraduate degrees become more common, access to employment and further education opportunities increasingly depend on extra‐curricular and ‘enriching’ educational experiences. Using qualitative data from a longitudinal study of working‐class university students in Canada, I will address the mechanisms by which they have gained or were denied access to such experiences. The data suggest that working‐class students’ relative lack of financial resources and social networks are barriers to the development of extra‐credential experiences, which in turn leads to the change of educational and career plans for some.     

Examining big brother's purpose for using electronic performance monitoring

We examined whether the reason offered for electronic performance monitoring (EPM) influenced participants' performance, stress, motivation, and satisfaction. Participants performed a data‐entry task in one of five experimental conditions. In one condition, participants were not electronically monitored. In the remaining conditions, participants were electronically monitored but the explanation varied. One group was told that they would be electronically monitored but were given no explanation. Another group was told that EPM would be used to research factors associated with performance. In the developmental condition, participants were told that EPM would be used to provide them with feedback to improve performance, and in the administrative condition, participants were informed that EPM would be used to distribute rewards and punishments. Administrative condition participants had higher motivation and performance yet relatively low stress and dissatisfaction levels. Thus, EPM may enhance performance on simple, repetitive tasks without necessarily producing negative outcomes.     

Longitudinal effects of verbal ability,memory capacity,and phonological awareness on reading performance

This study addresses the longitudinal relationship among verbal ability, memory capacity, phonological awareness, and reading performance. Data from 92 German children were used to explore the exact relation among these variables. Indicators of verbal ability, memory capacity, and phonological awareness were assessed in kindergarten and again after the first grade. The interrelationships among these factors, and the subsequent influence they have on decoding speed and reading comprehension during the second grade were examined via structural equation modeling procedures. Overall, the results of the longitudinal analyses show that the relationship of memory capacity and phonological awareness remains stable over time, and that memory capacity predicts performance on phonological awareness tasks in both kindergarten and second grade. Phonological awareness proved to be a significant predictor of decoding speed, which in turn considerably influenced reading comprehension.     

Reading,metacognition and motivation: A follow-up study of German students in Grades 7 and 8

This follow-up study to van Kraayenoord and Schneider (1999) examined the performance in reading, metacognition and motivation related to reading of students in Grades 7 and 8. Results showed significant correlations between all of the variables. A multivariate analysis of variance showed that “good” and “poor” readers differed in reading self-concept and metacognitive measures related to reading and memory. A stepwise regression analysis suggested that the metacognitive variables were the best predictors of reading. Furthermore, a comparison of the results of the previous study with those of the current investigation revealed that the findings were stable over time. Since the period between the two studies is the time during which students make important decisions related to enrolment in one of three distinct school-types in Germany, we examined the results of various groups of students: those in “Gymnasium” (high educational track), “Realschule” (middle educational track), and “Hauptschule” (low educational track). Students in the Gymnasium scored significantly better than students in the other two groups on almost all variables related to reading. A re-analysis of the data from our first investigation found that the results of the Gymnasium students in the second study could be predicted from their results obtained during elementary school.     

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.