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ERIC Number: EJ1126787
Record Type: Journal
Publication Date: 2016
Pages: 23
Abstractor: As Provided
ISSN: EISSN-1929-7750
Practical Measurement and Productive Persistence: Strategies for Using Digital Learning System Data to Drive Improvement
Krumm, Andrew E.; Beattie, Rachel; Takahashi, Sola; D'Angelo, Cynthia; Feng, Mingyu; Cheng, Britte
Journal of Learning Analytics, v3 n2 p116-138 2016
This paper outlines the development of practical measures of productive persistence using digital learning system data. Practical measurement refers to data collection and analysis approaches originating from improvement science; productive persistence refers to the combination of academic and social mindsets as well as learning behaviours that are important drivers of student success within the Carnegie Foundation for the Advancement of Teaching's Community College Pathways (CCP) Network Improvement Community (NIC). Strategies for operationalizing non-cognitive factors using digital learning system data as well as approaches for utilizing them during improvement efforts are described.
Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Two Year Colleges; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: SMA1338487