Institution
Open University
Education•Milton Keynes, United Kingdom•
About: Open University is a education organization based out in Milton Keynes, United Kingdom. It is known for research contribution in the topics: Context (language use) & Population. The organization has 11702 authors who have published 35020 publications receiving 1110835 citations. The organization is also known as: Open University, The & Open University.
Topics: Context (language use), Population, Higher education, Educational technology, Distance education
Papers published on a yearly basis
Papers
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TL;DR: The experiments showed that reading, lexical decision, and color naming all are slower with emotional words and that this delay is immune to task-irrelevant variation and to changes in the relative salience of the words and the colors.
Abstract: The role of Stroop processes in the emotional Stroop effect was subjected to a conceptual scrutiny augmented by a series of experiments entailing reading or lexical decision as well as color naming. The analysis showed that the Stroop effect is not defined in the emotional Stroop task. The experiments showed that reading, lexical decision, and color naming all are slower with emotional words and that this delay is immune to task-irrelevant variation and to changes in the relative salience of the words and the colors. The delay was absent when emotional and neutral words appeared in a single block. A threat-driven generic slowdown is implicated, not a selective attention mechanism associated with the classic Stroop effect.
535 citations
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Franco D. Albareti1, Franco D. Albareti2, Carlos Allende Prieto1, Carlos Allende Prieto3 +397 more•Institutions (95)
TL;DR: Data Release 13 (DR13) as discussed by the authors provides the first 1390 spatially resolved integral field unit observations of nearby galaxies from the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2), Mapping Nearby Galaxies at APO (MaNGA), and the Extended Baryon Oscillation Spectroscopic Survey (eBOSS).
Abstract: The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in 2014 July. It pursues three core programs: the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2), Mapping Nearby Galaxies at APO (MaNGA), and the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). As well as its core program, eBOSS contains two major subprograms: the Time Domain Spectroscopic Survey (TDSS) and the SPectroscopic IDentification of ERosita Sources (SPIDERS). This paper describes the first data release from SDSS-IV, Data Release 13 (DR13). DR13 makes publicly available the first 1390 spatially resolved integral field unit observations of nearby galaxies from MaNGA. It includes new observations from eBOSS, completing the Sloan Extended QUasar, Emission-line galaxy, Luminous red galaxy Survey (SEQUELS), which also targeted variability-selected objects and X-ray-selected objects. DR13 includes new reductions of the SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification, and new reductions of the SDSS-III APOGEE-1 data, improving stellar parameters for dwarf stars and cooler stars. DR13 provides more robust and precise photometric calibrations. Value-added target catalogs relevant for eBOSS, TDSS, and SPIDERS and an updated red-clump catalog for APOGEE are also available. This paper describes the location and format of the data and provides references to important technical papers. The SDSS web site, http://www.sdss.org, provides links to the data, tutorials, examples of data access, and extensive documentation of the reduction and analysis procedures. DR13 is the first of a scheduled set that will contain new data and analyses from the planned ∼6 yr operations of SDSS-IV.
532 citations
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08 Apr 2013TL;DR: The metaphor of a 'funnel of participation' is introduced to reconceptualise the steep drop-off in activity, and the pattern of steeply unequal participation, which appear to be characteristic of MOOCs and similar learning environments.
Abstract: Massive Online Open Courses (MOOCs) are growing substantially in numbers, and also in interest from the educational community. MOOCs offer particular challenges for what is becoming accepted as mainstream practice in learning analytics.Partly for this reason, and partly because of the relative newness of MOOCs as a widespread phenomenon, there is not yet a substantial body of literature on the learning analytics of MOOCs. However, one clear finding is that drop-out/non-completion rates are substantially higher than in more traditional education.This paper explores these issues, and introduces the metaphor of a 'funnel of participation' to reconceptualise the steep drop-off in activity, and the pattern of steeply unequal participation, which appear to be characteristic of MOOCs and similar learning environments. Empirical data to support this funnel of participation are presented from three online learning sites: iSpot (observations of nature), Cloudworks ('a place to share, find and discuss learning and teaching ideas and experiences'), and openED 2.0, a MOOC on business and management that ran between 2010--2012. Implications of the funnel for MOOCs, formal education, and learning analytics practice are discussed.
530 citations
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TL;DR: It is illustrated that the currently accepted practices concerning the 'unit of meaning' are not generally applicable to quantitative content analysis of electronic communication and recommendations are made for current content analysis practice in CSCL research.
Abstract: Quantitative content analysis is increasingly used to surpass surface level analyses in computer-supported collaborative learning (e.g., counting messages), but critical reflection on accepted practice has generally not been reported. A review of CSCL conference proceedings revealed a general vagueness in definitions of units of analysis. In general, arguments for choosing a unit were lacking and decisions made while developing the content analysis procedures were not made explicit. In this article, it will be illustrated that the currently accepted practices concerning the 'unit of meaning' are not generally applicable to quantitative content analysis of electronic communication. Such analysis is affected by 'unit boundary overlap' and contextual constraints having to do with the technology used. The analysis of e-mail communication required a different unit of analysis and segmentation procedure. This procedure proved to be reliable, and the subsequent coding of these units for quantitative analysis yielded satisfactory reliabilities. These findings have implications and recommendations for current content analysis practice in CSCL research.
529 citations
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TL;DR: This paper reviewed a range of difficult issues that currently face ethnographic research, and offered some reflections on them, including how ethnographers define the spatial and temporal boundaries of what they study; how they determine the context that is appropriate for understanding it; in what senses ethnography can be virtual rather than actual; the role of interviews as a data source; the relationship between ethnography and discourse analysis; the tempting parallel with imaginative writing; and, finally, whether ethnography should have, or can avoid having, political or practical commitments of some kind, beyond its aim of producing value-
Abstract: This article reviews a range of difficult issues that currently face ethnographic research, and offers some reflections on them. These issues include: how ethnographers define the spatial and temporal boundaries of what they study; how they determine the context that is appropriate for understanding it; in what senses ethnography can be—or is—virtual rather than actual; the role of interviews as a data source; the relationship between ethnography and discourse analysis; the tempting parallel with imaginative writing; and, finally, whether ethnography should have, or can avoid having, political or practical commitments of some kind, beyond its aim of producing value-relevant knowledge.
529 citations
Authors
Showing all 11915 results
Name | H-index | Papers | Citations |
---|---|---|---|
Simon Baron-Cohen | 172 | 773 | 118071 |
Rob Ivison | 166 | 1161 | 102314 |
David W. Johnson | 160 | 2714 | 140778 |
David Scott | 124 | 1561 | 82554 |
R. Santonico | 120 | 777 | 67421 |
Eva K. Grebel | 118 | 863 | 83915 |
Chris J. Hawkesworth | 112 | 360 | 38666 |
Johannes Brug | 109 | 620 | 44832 |
Mark J. Nieuwenhuijsen | 107 | 647 | 49080 |
M. Santosh | 103 | 1344 | 49846 |
Andrew J. King | 102 | 882 | 46038 |
Wim H. M. Saris | 99 | 506 | 34967 |
Peter Nijkamp | 97 | 2407 | 50826 |
John Dixon | 96 | 543 | 36929 |
Timothy Clark | 95 | 1137 | 53665 |