Several governments across the world have temporarily closed educational institutions due to the COVID-19 pandemic. In response, numerous universities have seen a growing trend towards online ...learning scenarios. Thus, learning takes place not just within a person, but within and across the networks. However, the current implementations of open learning scenarios are facing many challenges, including: a) there is no systematic feature to track, evaluate and report the online learning activities of students; b) lack of immediacy and personal feedback; and c) lack of self-reflection. Consequently, Learning Analytics (LA) is one of the most distinguished solutions to address these challenges. In this study, the two kinds of LA dashboard, behavioral and cognitive, have been investigated. The methodological approach taken in this investigation was adopted from a design-based research framework, which blends empirical educational research with the theory-driven design of online learning environments. The initial sample consisted of 320 undergraduate nursing students. The cohort was divided into two groups according to the two types of LA dashboard. The findings have argued that behavioral dashboards took precedence over data evaluation items, while cognitive dashboards had the advantage in achieving the goals of LA - e.g., awareness, self-reflection, and impact on learning process.
Full text
Available for:
BFBNIB, NUK, PILJ, SAZU, UL, UM, UPUK
This paper introduces design patterns for dashboards to inform dashboard design processes. Despite a growing number of public examples, case studies, and general guidelines there is surprisingly ...little design guidance for dashboards. Such guidance is necessary to inspire designs and discuss tradeoffs in, e.g., screenspace, interaction, or information shown. Based on a systematic review of 144 dashboards, we report on eight groups of design patterns that provide common solutions in dashboard design. We discuss combinations of these patterns in "dashboard genres" such as narrative, analytical , or embedded dashboard . We ran a 2-week dashboard design workshop with 23 participants of varying expertise working on their own data and dashboards. We discuss the application of patterns for the dashboard design processes, as well as general design tradeoffs and common challenges. Our work complements previous surveys and aims to support dashboard designers and researchers in co-creation, structured design decisions, as well as future user evaluations about dashboard design guidelines. Detailed pattern descriptions and workshop material can be found online: https://dashboarddesignpatterns.github.io
Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their ...decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the design of dashboards for creating transparency and accountability. Two smart city cases are investigated showing that dashboards can improve transparency and accountability, however, realizing these benefits was cumbersome and encountered various risks and challenges. Challenges include insufficient data quality, lack of understanding of data, poor analysis, wrong interpretation, confusion about the outcomes, and imposing a pre-defined view. These challenges can easily result in misconceptions, wrong decision-making, creating a blurred picture resulting in less transparency and accountability, and ultimately in even less trust in the government. Principles guiding the design of dashboards are presented. Dashboards need to be complemented by mechanisms supporting citizens' engagement, data interpretation, governance and institutional arrangements.
•Dashboards connect governments and the public.•Benefits of dashboards are not easily gained.•Principles for designing public sector dashboards are presented.•Dashboard should provide an overview and being able to show details at the same time.•Dashboards can result in more, but also in less transparency and trust.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
Information Management of the performance measurement of PT Sun Star Motor MT Haryono Semarang currently still provides less valuable information. This study aims to design a performance ...dashboard as a tool for monitoring company performance at PT Sun Star Motor MT Haryono Semarang so that information about company performance can be more valuable, especially for leaders. This research was conducted by taking into account the needs of users based on the company’s KPI. This research method refers to Hariyati’s “Dashboard Development Methodology.” This research phase is identifying needs and reviewing dashboard information. The design produced three performance dashboards: Main Dashboard, Service Division Dashboard, and the Unit Division Dashboard. The first dashboard presents performance information of PT Sun Star Motor MT Haryono Semarang as a whole, those who use the dashboard are the branch and acc manager. The second dashboard presents performance information from PT Sun Star Motor MT Haryono Semarang and the party that has access is the service manager. The third dashboard contains company performance information for unit divisions; the user is the supervisor. The dashboard information that has been designed is then reviewed by the user based on the company’s KPI and user needs.
Higher education institutions are moving to design and implement teacher-facing learning analytics (LA) dashboards with the hope that instructors can extract deep insights about student learning and ...make informed decisions to improve their teaching. While much attention has been paid to developing teacher-facing dashboards, less is known about how they are designed, implemented and evaluated. This paper presents a systematic literature review of existing studies reporting on teacher-facing LA dashboards. Out of the 1968 articles retrieved from several databases, 50 articles were included in the final analysis. Guided by several frameworks, articles were coded based on the following dimensions: purpose, theoretical grounding, stakeholder involvement, ethics and privacy, design, implementation, and evaluation criteria. The findings show that most dashboards are designed to increase teachers’ awareness but with limited actionable insights to allow intervention. Moreover, while teachers are involved in the design process, this is mainly at the exploratory/problem definition stage, with little input beyond this stage. Most dashboards were prescriptive, less customisable, and implicit about the theoretical constructs behind their designs. In addition, dashboards are deployed at prototype and pilot stages, and the evaluation is dominated by self-reports and users’ reactions with limited focus on changes to teaching and learning. Besides, only one study considered privacy as a design requirement. Based on the findings of the study and synthesis of existing literature, we propose a four-dimensional checklist for planning, designing, implementing and evaluating LA dashboards.
Epidemiological maps on COVID-19 dashboards were critical to disseminating information during the pandemic, but dashboard creators faced difficulties avoiding common misinterpretation pitfalls that ...result from varying population density. Furthermore, most dashboards did not include animated maps despite their intuitive visual analogy to the temporal unfolding of events. This study explores the effectiveness of population cartograms as a basis for animated maps showing the progression of a pandemic. The ability to recall locations of peak case rates per population was compared for subjects receiving animated maps and cartograms overlaid with proportional symbols and choropleth colors representing case counts and rates per population, respectively. Results confirm that map readers often confuse case counts with rates on standard proportional symbol maps and fail to notice small, densely populated enumeration units on standard choropleth maps. Population cartograms reduced these common visual biases for both map forms, but map readers were unable to track rates per population on proportional symbol cartograms even with prior instruction. Although animations of standard choropleth maps and colored proportional symbol cartograms were most preferred by subjects, choropleth cartograms are recommended for consideration by dashboard creators as they effectively communicate case rate trends while avoiding visual biases associated with other map types.
Full text
Available for:
BFBNIB, GIS, IJS, KISLJ, NUK, PNG, UL, UM, UPUK
The most recent SARS-CoV-2 variant of concern to emerge has been named omicron.1 Its immune evasion potential was predicted by genomic data and has been preliminarily confirmed by observations of an ...increased incidence of reinfections and breakthrough infections.2 This has triggered calls to intensify vaccination programmes including provision of vaccine booster doses.3 A group of German visitors who had received three doses of SARS-CoV-2 vaccines, including at least two doses of an mRNA vaccine, experienced breakthrough infections with omicron between late November and early December, 2021, while in Cape Town, South Africa. At the onset of their breakthrough infections, all individuals had high levels of viral spike protein binding antibodies, similar to levels reported 4 weeks following second vaccine doses6 and as expected after receipt of booster vaccine doses.7 Viral RNA loads in omicron variant infections have yet to be reported. Encouragingly, early data from South Africa suggest maintained if reduced effectiveness of the BNT162b2 vaccine against hospital admission.14 Dwayne Senior/Bloomberg/Getty Images For National Institutes of Health COVID-19 Treatment Guidelines see https://www.covid19treatmentguidelines.nih.gov For SARS-CoV-2 infections in the Western Cape province see https://coronavirus.westerncape.gov.za/covid-19-dashboard CK and CKM contributed equally.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Access to web-based platforms has enabled scientists to perform research remotely. A critical aspect of mass spectrometry data analysis is the inspection, analysis, and visualization of the raw data ...to validate data quality and confirm statistical observations. We developed the GNPS Dashboard, a web-based data visualization tool, to facilitate synchronous collaborative inspection, visualization, and analysis of private and public mass spectrometry data remotely.
Insights derived from classroom data can help teachers improve their practice and students’ learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are ...often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of learning data can, theoretically, aid teachers in data use, but often fall short of their potential as they are commonly designed without reference to educational theory and rarely consider end-user’s needs. Keeping these challenges in mind, we designed a professional development program that aimed at, among other things, improving teachers’ beliefs regarding data and their data literacy skills. After the training, we found that teachers had more positive attitudes regarding data. However, some data literacy skills proved quite difficult to learn. We present and analyse our intervention here and forward a proposal for improving the effectiveness of data use interventions by leveraging theory-based Learning Analytics (LA) dashboards as mediating tools that scaffold teachers’ acquisition of new knowledge and skills during and beyond the intervention.
Full text
Available for:
EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
This study aims to investigate learners' interaction with the learning dashboards as a predictor outcome of an online learning experience and, to what extent this interaction data could be used to ...predict and/or provide guidance through their academic performance. For this purpose, a prescriptive learning dashboard integrated into an e-learning environment was developed as a learning analytics tool. The participants consisted of 126 higher education students enrolled in the 12-week Computer Networks and Communication course. Data gathered through logs and academic performances of learners were analysed with data mining techniques. The result of cluster analysis, based on interaction with the prescriptive learning dashboard, showed that learners were separated into four groups according to their behavioural patterns. A similar pattern appears when the related clusters are profiled based on the academic performances. At predictive analysis, the study indicates that the interaction with prescriptive learning dashboard had certain effects on academic performance of learners significantly and artificial neural networks algorithm yielded the best performance for predicting academic performance. The results support that the usage prescriptive learning dashboards can be applied in online courses as an instructional aid to improve performance of learners and learning design in e-learning environments.
Full text
Available for:
BFBNIB, DOBA, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
PDF
