Towards characterising design-based learning in engineering education: a review of the literature

Design-based learning is a teaching approach akin to problem-based learning but one to which the design of artefacts, systems and solutions in project-based settings is central. Although design-based learning has been employed in the practice of higher engineering education, it has hardly been theorised at this educational level. The aim of this study is to characterise design-based learning from existing empirical research literature on engineering education. Drawing on a perspective that accounts for domain-specific, idiosyncratic and learner-centred aspects of design problems in the context of engineering education, 50 empirical studies on project-based and problem-based engineering education, to which the design of artefacts is central, were reviewed. Based on the findings, design-based learning is characterised with regard to domain-specificity, learner expertise and task authenticity. The implications of this study for the practice of engineering education are discussed.     

KNOWLEDGE ON ACCELERATED MOTION AS MEASURED BY IMPLICIT AND EXPLICIT TASKS IN 5 TO 16 YEAR OLDS

The present study aimed at investigating children's and adolescents' understanding of constant and accelerated motions. The main objectives were (1) to investigate whether different task formats would affect the performance and (2) to track developmental changes in this domain. Five to 16 year olds (N = 157) predicted the distances of a moving vehicle on the basis of its movement durations on both a horizontal and an inclined plane. The task formats involved: (1) nonverbal action tasks, (2) number-based missing-value word problems, and (3) verbal judgments. The majority of participants of all age groups based their reactions in the first two task types on the assumption of a linear relationship between time and distance—which is correct for motions with constant speed but incorrect for accelerated motions. However, in the verbal judgments that tapped conceptual understanding, children from the age of 8 years onwards correctly assumed that an object rolling down an inclined plane would accelerate. The role of the task format in evoking erroneous beliefs and strategies is discussed.     

Oxygen as a catalyst in the Earth's interior?

The abundance of the element oxygen is not only crucial for life at the surface of the Earth, but also greatly affects the properties and dynamics of the interi...     

Aragonese Tiles in a Flemish Castle: A Chivalric Gift-Exchange Network in Fifteenth-Century Europe

Excavation of the mid-fifteenth-century castle of Pieter Bladelin, a high-ranking Burgundian official, in the village of Middelburg-in-Flanders, near Bruges (Belgium), has unearthed a remarkable series of blue and white painted and glazed floor tiles. Post-excavation archival and heraldic inquiries into the tiles has led to a deeper understanding of the role that gift exchange of luxury objects played within the diplomatic network of Alfonso V “the Magnanimous”, King of Aragon, and Philip “the Good”, Duke of Burgundy, in shaping a shared chivalric and crusading culture between Burgundy and Aragon. The study demonstrates the added value of the integration of archaeological and historical data in studying economic, political and cultural processes for the later medieval or early modern period.     

Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications

Probabilistic topic models are unsupervised generative models which model document content as a two-step generation process, that is, documents are observed as mixtures of latent concepts or topics, while topics are probability distributions over vocabulary words. Recently, a significant research effort has been invested into transferring the probabilistic topic modeling concept from monolingual to multilingual settings. Novel topic models have been designed to work with parallel and comparable texts. We define multilingual probabilistic topic modeling (MuPTM) and present the first full overview of the current research, methodology, advantages and limitations in MuPTM. As a representative example, we choose a natural extension of the omnipresent LDA model to multilingual settings called bilingual LDA (BiLDA). We provide a thorough overview of this representative multilingual model from its high-level modeling assumptions down to its mathematical foundations. We demonstrate how to use the data representation by means of output sets of (i) per-topic word distributions and (ii) per-document topic distributions coming from a multilingual probabilistic topic model in various real-life cross-lingual tasks involving different languages, without any external language pair dependent translation resource: (1) cross-lingual event-centered news clustering, (2) cross-lingual document classification, (3) cross-lingual semantic similarity, and (4) cross-lingual information retrieval. We also briefly review several other applications present in the relevant literature, and introduce and illustrate two related modeling concepts: topic smoothing and topic pruning. In summary, this article encompasses the current research in multilingual probabilistic topic modeling. By presenting a series of potential applications, we reveal the importance of the language-independent and language pair independent data representations by means of MuPTM. We provide clear directions for future research in the field by providing a systematic overview of how to link and transfer aspect knowledge across corpora written in different languages via the shared space of latent cross-lingual topics, that is, how to effectively employ learned per-topic word distributions and per-document topic distributions of any multilingual probabilistic topic model in various cross-lingual applications.     

Self‐assessment in university assessment of prior learning procedures

Competency‐based university education, in which lifelong learning and flexible learning are key elements, demands a renewed vision on assessment. Within this vision, Assessment of Prior Learning (APL), in which learners have to show their prior learning in order for their goals to be recognised, becomes an important element. This article focuses on a first step in APL, namely students’ self‐assessment of their prior learning before entering university education. The main aim of the presented study is to examine the suitability of the use of self‐assessment in APL. First, in an explorative study, the main sources for self‐assessment are derived and the relation between sources and domain of study is investigated. Second, in a pre‐test post‐test research design, the hypothesis that students’ self‐assessment of prior learning related to a course changes after studying a domain‐specific course is tested. Pre‐test results reveal that students indicate that they have prior knowledge related to the chosen university programme. In general, this prior learning is obtained from study experience, work experience, books, newspapers, magazines, the Internet, TV, radio, film or video. A relation is found between the type of source and the university programme. The hypothesis that students change their self‐assessment after a study period could not be confirmed. Based on these results, it is concluded that self‐assessment in APL might be a suitable tool. Implications for further research are discussed.