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Mardian, Fatemeh; Nushi, Musa – Innovation in Language Learning and Teaching, 2023
Over the past decade, the focus of investigation in individual differences (IDs) research has shifted from the utilization of large-scale questionnaire surveys toward the adoption of methodological diversity and development of new approaches to second-language (L2) communication (Dörnyei and Ryan [2015]. "The Psychology of the Language…
Descriptors: Individual Differences, Second Language Learning, Second Language Instruction, Learning Motivation
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Nikolic, Sasha; Ros, Montserrat; Jovanovic, Kosta; Stanisavljevic, Zarko – European Journal of Engineering Education, 2021
The laboratory is an integral component of engineering education, resulting in a multitude of studies. Generally, the research focus is on the laboratory innovation, rather than learning itself. It is observed that empirical evidence is strongly built around student perceptions of their learning or experience via survey instruments; and in some…
Descriptors: Engineering Education, Distance Education, Teaching Methods, Student Attitudes
Schneider, Leann; Schimmack, Ulrich – Social Indicators Research, 2009
A meta-analysis of published studies that reported correlations between self-ratings and informant ratings of well-being (life-satisfaction, happiness, positive affect, negative affect) was performed. The average self-informant correlation based on 44 independent samples and 81 correlations for a total of 8,897 participants was r = 0.42 [99%…
Descriptors: Affective Behavior, Psychological Patterns, Well Being, Meta Analysis
Watson, Charles D. – 1973
A summary of pre-test data collected for the Arkansas needs assessment project is presented. This report reflects the results of a two-year study. The project includes assessment in all three learning domains: cognitive, affective, and psychomotor. The State of Arkansas was divided into three geographic areas, and participating districts were…
Descriptors: Affective Behavior, Cognitive Processes, Data Collection, Educational Needs