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McKool, Marissa; Freire, Kimberley; Basile, Kathleen C.; Jones, Kathryn M.; Klevens, Joanne; DeGue, Sarah; Smith, Sharon G. – American Journal of Evaluation, 2020
Despite advances in the sexual violence (SV) prevention field, practitioners still face challenges with identifying indicators to measure the impact of their prevention strategies. Public data, such as existing administrative and surveillance system data, may be a good option for organizations to examine trends in indicators for the purpose of…
Descriptors: Sexual Abuse, Violence, Prevention, Program Effectiveness
James, Nikki; Humez, Andrea; Laufenberg, Philipp – TechTrends: Linking Research and Practice to Improve Learning, 2020
Team projects allow students to apply their technical skills to a real-world context and build twenty-first century competencies, including teamwork, project management and communication skills. However, the complex challenges that such experiential learning projects present for students and faculty can limit the scale of implementation. This…
Descriptors: Distance Education, Scaffolding (Teaching Technique), Computer Simulation, Teaching Methods
Parks, Rachida F. – Information Systems Education Journal, 2020
This study presents a contextual active learning perspective on how a healthcare data analytics course was designed and delivered to students enrolled in a graduate business analytics degree. Industry and academia emphasizes the need to integrate context-specific learning, however contextual analytics courses are not widely offered in business…
Descriptors: Data Analysis, Health Services, Active Learning, Graduate Students
Liang, Dong; Chen, Guanbo; Tian, Hailin; Lu, Qi – Advances in Engineering Education, 2020
This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, COVID-19
Fischer, Christian; Pardos, Zachary A.; Baker, Ryan Shaun; Williams, Joseph Jay; Smyth, Padhraic; Yu, Renzhe; Slater, Stefan; Baker, Rachel; Warschauer, Mark – Review of Research in Education, 2020
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…
Descriptors: Data Analysis, Data Collection, Decision Making, Instructional Effectiveness
Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
Burns, Matthew K.; Taylor, Crystal N.; Warmbold-Brann, Kristy L.; Preast, June L.; Hosp, John L.; Ford, Jeremy W. – Psychology in the Schools, 2017
Intervention researchers often use curriculum-based measurement of reading fluency (CBM-R) with a brief experimental analysis (BEA) to identify an effective intervention for individual students. The current study synthesized data from 22 studies that used CBM-R data within a BEA by computing the standard error of measure (SEM) for the median data…
Descriptors: Error of Measurement, Decision Making, Reading Fluency, Curriculum Based Assessment
Levatino, Antonina – Higher Education: The International Journal of Higher Education Research, 2017
Transnational higher education (TNHE) is one of the most important, even if often neglected, aspects in the internationalisation of higher education. TNHE constitutes a strategy for universities to expand recruitment. Nonetheless, it is often argued that TNHE could constitute a way for the countries where it is implemented to retain their students…
Descriptors: Study Abroad, Student Mobility, Data Analysis, Enrollment Trends
West, Jason – Curriculum Journal, 2017
Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…
Descriptors: Curriculum Development, Validity, Data Analysis, Interdisciplinary Approach
Riddle, Derek R.; Beck, Jori S.; Morgan, Joseph John; Brown, Nancy; Whitesides, Heather – Kappa Delta Pi Record, 2017
Building on a study conducted by the authors, this article provides strategies for teaching data literacy and outlines the case-based teaching method as an effective way of developing data-literate teachers.
Descriptors: Data, Data Analysis, Case Method (Teaching Technique), Teacher Education
Nyland, Rob; Davies, Randall S.; Chapman, John; Allen, Gove – Journal of Computing in Higher Education, 2017
This paper presents a case for the use of transaction-level data when analyzing automated online assessment results to identify knowledge gaps and misconceptions for individual students. Transaction-level data, which records all of the steps a student uses to complete an assessment item, are preferred over traditional assessment formats that…
Descriptors: Student Evaluation, Evidence Based Practice, Data Analysis, Knowledge Level
Strunk, Kamden K.; Lane, Forrest C. – Measurement and Evaluation in Counseling and Development, 2017
A common concern about the Beck Depression Inventory, Second edition (BDI-II) among researchers in the area of depression has long been the single-factor scoring scheme. Methods exist for making cross-sample comparisons of latent structure but tend to rely on estimation methods that can be imprecise and unnecessarily complex. This study presents a…
Descriptors: Depression (Psychology), Measures (Individuals), Error of Measurement, Diagnostic Tests
Steiner, Christina M.; Albert, Dietrich – Cogent Education, 2017
Ontologies play an important role as knowledge domain representations in technology-enhanced learning and instruction. Represented in form of concept maps they are commonly used as teaching and learning material and have the potential to enhance positive educational outcomes. To ensure the effective use of an ontology representing a knowledge…
Descriptors: Concept Mapping, Content Validity, Intelligent Tutoring Systems, Elementary School Science
Dönmez, Cengiz; Uslu, Salih; Hamarat, Ercenk – Universal Journal of Educational Research, 2017
The aim of the current study is to identify the opinions of pre-service social studies teachers about Atatürk as a founding and transformational leader. The sample of the study comprises 180 pre-service teachers in the social studies teaching department of an education faculty in a public university. The data have been collected through an…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Opinions
Winne, Philip H.; Nesbit, John C.; Popowich, Fred – Technology, Knowledge and Learning, 2017
A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules…
Descriptors: Data Collection, Research Methodology, Learning Processes, Computer Software

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