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Ellinger, Andrea D.; McWhorter, Rochell – International Journal of Adult Vocational Education and Technology, 2016
This article introduces the concept of qualitative case study research as empirical inquiry. It defines and distinguishes what a case study is, the purposes, intentions, and types of case studies. It then describes how to determine if a qualitative case study is the preferred approach for conducting research. It overviews the essential steps in…
Descriptors: Qualitative Research, Case Studies, Research Design, Data Collection
Bennett, Elisabeth E. – International Journal of Adult Vocational Education and Technology, 2016
Since the first publication by Glaser and Strauss in 1967, Grounded Theory has become a highly influential research approach in the social sciences. The approach provides techniques and coding strategies for building theory inductively from the "ground up" as concepts within the data earn relevance into an evolving substantive theory.…
Descriptors: Grounded Theory, Qualitative Research, Selection, Data Collection
Berger, Dan; Wild, Charles – Higher Education Review, 2016
The UK government's Green Paper, "Fulfilling Our Potential: Teaching Excellence, Social Mobility and Student Choice", presents both significant challenges and opportunities for universities. Whilst the quantitative element of the proposed Teaching Excellence Framework (TEF), underpinned by Big Data, offers the tantalizing opportunity to…
Descriptors: Foreign Countries, Educational Quality, Higher Education, Data Collection
Reimann, Peter – Learning: Research and Practice, 2016
This paper argues that learning analytics (LA) can make contributions to learning research, in addition to aiming for improvements in learning and teaching practices in a solely applied sense. Indeed, there is potential for transforming learning research if certain approaches developed in LA were used more extensively to study learning. The…
Descriptors: Learning, Data Analysis, Educational Research, Longitudinal Studies
Sampathkumar, Hariprasad – ProQuest LLC, 2016
Information used to assist biomedical and clinical research has largely comprised of data available in published sources like scientific papers and journals, or in clinical sources like patient health records, lab reports and discharge summaries. Information from such sources, though extensive and organized, is often not readily available due to…
Descriptors: Information Retrieval, Models, Discovery Processes, Discussion Groups
Andrew Boon – Sage Research Methods Cases, 2016
This case study provides an overview of an Action Research project that examines effective instruction-giving in the language classroom. The case describes each of the various phases of the Action Research cycle from identifying a researchable pedagogic puzzle or critical incident, collecting and analyzing classroom data about it, bringing about…
Descriptors: Action Research, Research Projects, Research Methodology, Puzzles
Bennetts, Meg; Whalen, Ed; Ahadieh, Sima; Cappelleri, Joseph C. – Research Synthesis Methods, 2017
Although well developed to assess efficacy questions, meta-analyses and, more generally, systematic reviews, have received less attention in application to safety-related questions. As a result, many open questions remain on how best to apply meta-analyses in the safety setting. This appraisal attempts to: (i) summarize the current guidelines for…
Descriptors: Meta Analysis, Guidelines, Network Analysis, Safety
Gregory, Nuala – Educational Philosophy and Theory, 2017
This article divides into two roughly equal parts, both of which aim to address the "act" rather than the "art" of drawing. The second part focuses on a theoretical discussion of drawing. The first bears on a number of themes including the role of drawing in colonial history, drawing and data collection, and drawing and memory.…
Descriptors: Freehand Drawing, History, Data Collection, Memory
Berg, Alan M.; Mol, Stefan T.; Kismihók, Gábor; Sclater, Niall – Journal of Learning Analytics, 2016
This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Caldwell, Amanda; Hawe, Eleanor – Assessment Matters, 2016
Assessment can be powerful when teachers are able to analyse, interpret and use information in ways that enhance their teaching and programmes, and students' learning. A qualitative approach was used to investigate how teachers of Years 4-8 students analyse, interpret and use information gained from administration of the Progressive Achievement…
Descriptors: Data Use, Data Interpretation, Data Analysis, Achievement Tests
Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gasevic, Dragan – Journal of Learning Analytics, 2021
The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and…
Descriptors: Learning Analytics, Program Implementation, Trust (Psychology), Higher Education
Bryan, Leah N.; Brener, Nancy; Barker, Lawrence; Lo, Annie; Underwood, J. Michael – Health Education Journal, 2021
Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…
Descriptors: School Policy, School Health Services, State Agencies, Data Collection
Hine, Christine – Research Ethics, 2021
There has been considerable debate around the ethical issues raised by data-driven technologies such as artificial intelligence. Ethical principles for the field have focused on the need to ensure that such technologies are used for good rather than harm, that they enshrine principles of social justice and fairness, that they protect privacy,…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
Ladino Nocua, Andrea Catalina; Cruz Gonzalez, Joan Paola; Castiblanco Jimenez, Ivonne Angelica; Gomez Acevedo, Juan Sebastian; Marcolin, Federica; Vezzetti, Enrico – Education Sciences, 2021
Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…
Descriptors: Learner Engagement, Cognitive Processes, Metabolism, Physiology
van der Weele, Simon; Bredewold, Femmianne – Journal of Intellectual & Developmental Disability, 2021
Background: While qualitative research on intellectual disability is on the rise, researchers have frequently reported that their methods bring methodological and ethical challenges. The authors advance shadowing as an alternative method to respond to these concerns. Method: The authors draw on their experiences with shadowing on the basis of two…
Descriptors: Qualitative Research, Intellectual Disability, Research Methodology, Observation

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