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Fancera, Samuel F. – NASSP Bulletin, 2021
The purpose of this research was to develop and test an instrument to measure school leaders' use of Twitter for professional development (PD) and learning. Findings from an exploratory factor analysis indicate that the resulting nine-item Twitter for PD Scale offers a valid and reliable instrument to measure school leaders' use of Twitter for PD…
Descriptors: Principals, Social Media, Computer Mediated Communication, Faculty Development
Yasan Ak, Nehir; Yildirim, Soner – International Journal of Assessment Tools in Education, 2022
The purpose of this study was to bridge the gap in current research on educational mobile phone use within the framework for the rational analysis of the mobile education (FRAME) model. The paper developed and validated the Mobile Phone Use in Academic Environment Scale (MPUAES) to measure both positive and negative aspects of educational use of…
Descriptors: Test Construction, Test Validity, Handheld Devices, Use Studies
Hartley, Kendall; Bendixen, Lisa D.; Olafson, Lori; Gianoutsos, Dan; Shreve, Emily – Education and Information Technologies, 2020
Smartphone use in learning environments can be productive or distracting depending upon the type of use. The use is also impacted by the learner's view and understanding of the smartphone and self-regulated learning skills. Measures are needed to specify uses and learner understandings to address the implications for teaching and learning. This…
Descriptors: Handheld Devices, Telecommunications, Measures (Individuals), Test Construction
Aagaard, Lola; Skidmore, Ronald L.; Conner, Timothy W., II – Online Submission, 2014
The purpose of this study was to investigate the relationship between academic self-efficacy and preferences regarding the use of text materials and in-class activities of college students at a university that serves one of the highest-poverty regions in the United States. A convenient cluster sample of 105 students taking summer classes at a…
Descriptors: College Students, Self Efficacy, Textbooks, Preferences
McCay-Peet, Lori; Toms, Elaine – Information Research: An International Electronic Journal, 2011
Introduction: Serendipitous information retrieval is the perhaps inevitable consequence of immersion in an information-rich environment. Just how well chance encounters are supported, however, within these environments varies and one of the challenges to the development of tools and systems to facilitate serendipity is measuring how well they…
Descriptors: Information Retrieval, Factor Analysis, Factor Structure, Use Studies
Sahin, Sami; Uluyol, Çelebi – International Review of Research in Open and Distributed Learning, 2016
Personal learning environments (PLEs) are Web 2.0 tools and services by which users' access, construct, manage, and share educational contents in order to meet their learning needs. These environments enable users to manage their learning according to their own personal preferences. They further promote socialization and collaboration with their…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Technology Uses in Education
Pang, Nicholas Sun-Keung; Pisapia, John – Educational Management Administration & Leadership, 2012
The purpose of this study was to identify strategic thinking skills that distinguish effective school leaders in Hong Kong. Three constructs framed the study: strategic thinking skills, organizational-personal characteristics, and school leader effectiveness. This study used a quantitative non-experimental design, and univariate and correlation…
Descriptors: Factor Structure, Leadership Effectiveness, Educational Change, Foreign Countries

Nash, John B.; Moroz, Pauline A. – Journal of Educational Computing Research, 1997
This study, utilizing data from 208 educators, obtained estimates of the reliability of the four subscale version of the 40-item Computer Attitude Scale (CAS); provided detailed information regarding the factor patterns of the CAS subscales; and provided evidence about the differential validity of the CAS among four groups with differing intensity…
Descriptors: Computer Anxiety, Computer Attitudes, Computer Literacy, Evaluation Methods