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Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Shroff, Ronnie Homi; Ting, Fridolin Sze Thou; Lam, Wai Hung – Australasian Journal of Educational Technology, 2019
This article reports on the design, development, and validation of a new instrument, the Technology-Enabled Active Learning Inventory (TEAL), to measure students' perceptions of active learning in a technology-enabled learning context. By laying the theoretical foundation, a conceptual framework for technology-enabled active learning was…
Descriptors: Student Attitudes, Active Learning, Validity, Measures (Individuals)
Chai, Ching Sing; Koh, Joyce Hwee Ling; Tsai, Chin-Chung; Tan, Lynde Lee Wee – Computers & Education, 2011
Within the field of educational technology, Technological Pedagogical Content Knowledge (TPACK) has been theorized as a seven-factor construct to describe teacher's integration of information and communication technology (ICT) in their teaching. However, this framework has yet to be successfully validated through survey instruments. This paper…
Descriptors: Structural Equation Models, Construct Validity, Validity, Knowledge Base for Teaching

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