Logistic Discriminant Function Analysis for DIF Identification of Polytomously Scored Items

The purpose of this article is to present logistic discriminant function analysis as a means of differential item functioning (DIF) identification of items that are polytomously scored. The procedure is presented with examples of a DIF analysis using items from a 27-item mathematics test which includes six open-ended response items scored polytomously. The results show that the logistic discriminant function procedure is ideally suited for DIF identification on nondichotomously scored test items. It is simpler and more practical than polytomous extensions of the logistic regression DIF procedure and appears to fee more powerful than a generalized Mantel-Haenszelprocedure.     

Correlates of orthographic learning in third‐grade children's silent reading

This study examined word identification, phonological recoding efficiency, familiar word reading efficiency, orthographic choice for familiar words and serial naming speed as potential correlates of orthographic learning following silent reading in third‐grade children. Children silently read a series of short stories, each containing six repetitions of a different target non‐word. They subsequently read target non‐words faster than homophones and preferred target non‐words to homophones in an orthographic choice task, indicating that they had formed functional orthographic representations of the target non‐words through phonologically recoding them during silent story reading. Target non‐word orthographic choice was correlated with all measures bar non‐symbol naming speed. The association between phonological recoding efficiency and orthographic learning lends support to the hypothesis that self‐teaching occurs through phonological recoding even in silent reading. Our findings were not generally consistent with the view that serial naming speed assesses orthographic learning aptitude.     

Learned suppression of photopositive tendencies in<Emphasis Type="Italic">Drosophila melanogaster</Emphasis>

A task was designed to teach individual flies to avoid a lighted area after they had displayed an initial preference for it. The flies walked in a T-maze and chose between a lighted and a darkened alley leading, respectively, to a lighted and a darkened vial. Flies that were photopositive on a first trial were subjected to an aversive stimulus (a filter paper inserted into the lighted vial and wetted with a quinine solution), and they performed 16 training trials; they learned to avoid the lighted vial. The flies trained with water instead of quinine in the lighted vial still displayed avoidance of the lighted vial, but to a lesser extent. The flies trained with a dry filter paper in the lighted vial did not show any increase in avoidance during training. Like the flies trained with no quinine at all, those trained to avoid the lighted vial under a partial reinforcement condition (one half of the trials with quinine, the other half with a dry vial) did not master the task. Finally, removal of the quinine after an avoidance acquisition criterion was reached resulted in an extinction process.     

Developing Student Metacognition through Reflective Writing in an Upper Level Undergraduate Anatomy Course

Incorporating metacognitive strategies in the classroom helps students monitor and adjust their learning strategies throughout the semester, and helps students progress from novice to expert learners in a subject. Journaling (i.e., reflective writing) is one metacognitive task that allows students to contemplate and articulate their skill development as they learn a new subject. The research reported here examines the use of ‘blogs’ (i.e., online journals) in an upper level undergraduate human anatomy course. The blogs both facilitated development of students' metacognitive skills and provided researchers insight into student metacognitive process. Data were examined from 92 students from three successive semesters (spring 2010, 2012 and 2014). Each student reviewed 10 radiology online cases throughout the semester and then reflected on their understanding of anatomy and radiology in an online blog for each case. A total of 927 blogs were examined for this research. The researchers used a grounded theory approach to analyze the blog narratives and develop a codebook based on common themes. The 927 blogs yielded 11,082 statements that were coded with the codebook. As the semester progressed, the blog entries showed that students demonstrated greater self-confidence in their abilities to understand the subject matter, expressed greater enthusiasm for anatomy in general, and they improved their metacognitive skills. This research illustrates that reflective writing in an undergraduate anatomy course not only facilitates improvement in student metacognitive skills, but also provides the instructor with evidence how a student progresses from novice to more experienced learner in anatomy.     

Using Deliberative Inquiry to Assess Future Needs for a Graduate HRD Curriculum: A Case Study

The many changes in today's workplace argue for equivalent changes in educating human resource development (HRD) professionals. The need for HRD curricular changes to be thought out fully and future-focused warrants the use of systematic methods for formulating, solving, and learning more about how to formulate and solve curriculum problems. Deliberative inquiry is such a method. This research methodology is directed toward curricular decision-making as it occurs within a specific context and, simultaneously, toward learning how to formulate and solve such problems. This study focuses on how faculty members in one university department used the problem formulation phase of deliberative inquiry to assess future needs for their HRD specialization. The article first overviews the research methodology of deliberative inquiry and then describes the systematic approach-subject matter analysis-that was used to structure the problem formulation relative to HRD curricular needs. The problem formulation process clarified stakeholders' values. It also resulted in reframing the situation, which led to new insights about the issues facing the HRD curriculum and ways to address them.     

Peer‐assisted Student Support at the University of Glamorgan: innovating the learning process?

This article analyses the overall performance of the Peer‐Assisted Student Support (PASS) Scheme in the Business School at the University of Glamorgan. Observations were made over a seven‐week period to measure the effectiveness of the scheme in terms of enhancing the student learning process. Weekly attendance was measured to establish patterns of demand in terms of age, gender and mentored subject area. Further quantitative and qualitative research was undertaken to provide an insight into the perceived benefits of the scheme in relation to student social development and academic performance. The empirical findings of this article show that PASS attendance is female dominated. Moreover, the research suggests that contrary to previous research, the majority of benefactors reside in the under‐21 age group. The findings also highlight that academic and laboratory‐based subjects are a considerable strain on PASS resources and more significantly superior academic performance is positively correlated with regular PASS attendance.     

Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.     

Das MINERVA-Projekt: Datenbankselektion für Peer-to-Peer-Websuche

Zusammenfassung In diesem Artikel wird MINERVA pr?sentiert, eine prototypische Implementierung einer verteilten Suchmaschine basierend auf einer Peer-to-Peer (P2P)-Architektur. MINERVA setzt auf die in der P2P-Welt verbreitete Technik verteilter Hash-Tabellen auf und benutzt diese zum Aufbau eines verteilten Verzeichnisses. Peers in unserem Ansatz entsprechen v?llig autonomen Benutzern mit ihren lokalen Suchm"oglichkeiten, die bereit sind, ihr lokales Wissen und ihre lokalen Suchm?glichkeiten im Rahmen einer Kollaboration zur Verfügung zu stellen. Wir formalisieren unsere Systemarchitektur und beschreiben das zentrale Problem einer effizienten Suche nach vielversprechenden Peers für eine konkrete Anfrage innerhalb des Verbundes. Wir greifen dabei auf existierende Methoden zurück and passen diese an unseren Systemkontext an. Wir pr?sentieren Experimente auf realen Daten, die verschiedene dieser Ans?tze vergleichen. Diese Experimente zeigen, dass die Qualit?t der Ans?tze variiert und untermauern damit die Wichtigkeit und den Einfluss einer leistungsstarken Methode zur Auswahl guter Datenbanken. Unsere Experimente deuten an, dass eine geringe Anzahl sorgf?ltig ausgew?hlter Datenbanken typischerweise bereits einen Gro?teil aller relevanten Ergebnisse des Gesamtsystems liefert.

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This paper presents the MINERVA project that protoypes a distributed search engine based on P2P techniques. MINERVA is layered on top of a Chord-style overlay network and uses a powerful crawling, indexing, and search engine on every autonomous peer. We formalize our system model and identify the problem of efficiently selecting promising peers for a query as a pivotal issue. We revisit existing approaches to the database selection problem and adapt them to our system environment. Measurements are performed to compare different selection strategies using real-world data. The experiments show significant performance differences between the strategies and prove the importance of a judicious peer selection strategy. The experiments also present first evidence that a small number of carefully selected peers already provide the vast majority of all relevant results.

CR Subject Classification H.4,H.3.3,H3.4