What does educational quality mean?

Educational Assessment, Evaluation and Accountability -     

How to modify the g-index for multi-authored manuscripts

A recently suggested modification of the g-index is analysed in order to take multiple coauthorship appropriately into account. By fractionalised counting of the papers one can obtain an appropriate measure which I call g_m-index. Two fictitious examples for model cases and two empirical cases are analysed. The results are compared with two other variants of the g-index which have also recently been proposed. Only the g_m-index shows the correct behaviour when datasets are aggregated. The interpolated and continuous versions of the g-index and its variants are also discussed. For an intuitive comparison of the determination of the investigated variants of the h-index and the g-index, a visualization of the citation records is utilized.     

COVID-19 and schooling: evaluation,assessment and accountability in times of crises—reacting quickly to explore key issues for policy,practice and research with the school barometer

Educational Assessment, Evaluation and Accountability - The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many...     

Learning to rank for<Emphasis Type="Italic"> why</Emphasis>-question answering

In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivated features that characterize questions and answers. We experiment with a number of machine learning techniques (among which several classifiers and regression techniques, Ranking SVM and SVM ^map ) in various settings. The purpose of the experiments is to assess how the different machine learning approaches can cope with our highly imbalanced binary relevance data, with and without hyperparameter tuning. We find that with all machine learning techniques, we can obtain an MRR score that is significantly above the TF-IDF baseline of 0.25 and not significantly lower than the best score of 0.35. We provide an in-depth analysis of the effect of data imbalance and hyperparameter tuning, and we relate our findings to previous research on learning to rank for Information Retrieval.     

Age and research productivity of academic scientists

Age-publishing profiles are estimated for four fields of science using data from the 1977 Survey of Doctorate Recipients. The five measures of publishing activity used allow for analysis of the sensitivity of the age-publishing relationship to output measure. Results are presented separately for graduate faculty and faculty at nongraduate departments. Although age is found to be a fairly weak predictor of performance, in physics and earth science older scientists publish less than their youngest peers and in physiology and biochemistry older scientists publish less than their middle-aged colleagues. Given the time frame of the data, the results suggest that the graying of America's scientific community was accompanied with slowed rates of research in higher education.     

Designing computer-based learning contents: influence of digital zoom on attention

In the present study, we investigated the role of digital zoom as a tool for directing attention while looking at visual learning material. In particular, we analyzed whether minimal digital zoom functions similarly to a rhetorical device by cueing mental zooming of attention accordingly. Participants were presented either static film clips, film clips with minimal zoom-ins, or film clips with minimal zoom-outs while eye movements were recorded. We hypothesized that minimal zoom-ins should lead to more gaze coherence, to longer dwell times as an indicator of more elaborative processing, and to fewer transitions as an indicator of less mental integration. Zoom-outs, on the other hand, were expected to have opposite effects. Results showed that zoom-ins increase gaze coherence and dwell times on the center parts of the depictions while decreasing transitions of pictorial elements from the center and the context areas. In contrast, patterns of results from zoom-outs and static presentations were similar to a large degree, indicating that zoom-ins and zoom-outs do not operate in a complementary fashion. Theoretical and practical implications of the present results are discussed.     

Understanding Visitor Engagement and Behaviors

ABSTRACT

The authors examine a model of visitor engagement that has been in development over the past 3 years at the Smithsonian Institution. A total of 390 visitors comprised the sample with a subsample (n = 102) of visitors who were tracked through an exhibit in the National Museum of Natural History. A 5-factor visitor preference model was tested (idea, people, object, physical, and reflective). A 4-factor model was retained, and factor scores were linked to tracking data. Results from the tracking model indicate that the preference scores are associated with and predictive of behavioral patterns within the exhibit.     

Taking the Library to the Users: Satellite Reference at the University of Mississippi

ABSTRACT

It is no secret that the nature of reference is changing. Users no longer have to go to the library to find the resources needed for their research. The library is becoming a place to study more than a place to do research. Business students at the University of Mississippi are no different. With nice computer labs, a big building, and atriums for relaxing, there was little need for them to leave the School of Business Administration. How do you reach users who won't come to the library? You take the library to them. In 2004, the business librarian at J.D. Williams Library at the University of Mississippi began offering satellite or on-site reference to the School of Business Administration. Three years later the program is still running and considered a success—not only as a way to provide reference to a user group but also as a form of marketing and outreach for the library.