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Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas – Open Learning, 2017
Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…
Descriptors: Foreign Countries, Distance Education, Data Collection, Data Interpretation
Epstein, Irwin – Research on Social Work Practice, 2015
Challenging the "bridge metaphor" theme of this conference, this article contends that current practice-research integration strategies are more like research-to-practice "pipelines." The purpose of this article is to demonstrate the potential of clinical data-mining studies conducted by practitioners, practitioner-oriented PhD…
Descriptors: Evidence, Social Science Research, Social Work, Theory Practice Relationship
Neal, Jennifer Watling; Neal, Zachary P.; VanDyke, Erika; Kornbluh, Mariah – American Journal of Evaluation, 2015
Qualitative data offer advantages to evaluators, including rich information about stakeholders' perspectives and experiences. However, qualitative data analysis is labor-intensive and slow, conflicting with evaluators' needs to provide punctual feedback to their clients. In this method note, we contribute to the literature on rapid evaluation and…
Descriptors: Qualitative Research, Data Analysis, Evaluation, Evaluation Methods
Mathies, Charles; Valimaa, Jussi – Tertiary Education and Management, 2013
Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…
Descriptors: Higher Education, Institutional Evaluation, Governance, Data Analysis
Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis
Yin, Robert K.; And Others – 1978
In these appendices different aspects of the case study approach to organizational change are covered. A comparison is made between on-site interviews and telephone interviews as methods of data collection. It is concluded that in spite of the great disparity in costs, the use of personal interviews is a necessary method for data collection.…
Descriptors: Bureaucracy, Case Studies, Change Strategies, Community Services
Fitzpatrick, Michele, Ed. – Learning Point Associates / North Central Regional Educational Laboratory (NCREL), 2004
"Notes & Reflections" offers practical information--ideas, strategies, tools, and resources--about topics of special interest to professional developers who are working to improve school performance. Today, professional development services to schools are provided by variety of people: teacher leaders; principals; and district, regional, and state…
Descriptors: Data Analysis, Reflection, Change Strategies, Educational Improvement