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Prasanna S. Premkumar; Santhosh Kumar Ganesan; Balaji Pandiyan; Dhivya Kumari Krishnamoorthy; Gagandeep Kang – Field Methods, 2024
Household expenditure data is at the core of efforts to measure living standards, inequality and financial protection against illness. Currently it is mainly derived from recall-based surveys that are time consuming and prone to measurement errors. Diaries are often used as an alternative approach, however this results in fatigue and low…
Descriptors: Handheld Devices, Telecommunications, Diaries, Surveys
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Lena Schmidt; Saleh Mohamed; Nick Meader; Jaume Bacardit; Dawn Craig – Research Synthesis Methods, 2024
The amount of grey literature and 'softer' intelligence from social media or websites is vast. Given the long lead-times of producing high-quality peer-reviewed health information, this is causing a demand for new ways to provide prompt input for secondary research. To our knowledge, this is the first review of automated data extraction methods or…
Descriptors: Automation, Natural Language Processing, Literature Reviews, Data Collection
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Michael Mindzak; Rahul Kumar – Critical Education, 2024
This paper provides a theoretical and conceptual analysis of educational technology (Ed-Tech) including its role in the administration and organization of schools, colleges, and universities; teachers' pedagogical practices; and students' learning. During and since the pandemic period, education has relied more heavily than ever on technological…
Descriptors: Educational Technology, Technology Uses in Education, Educational Administration, Economic Factors
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Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation