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Julia C. Torquati; Donger Liu; Hyerim Shin – Environmental Education Research, 2025
We investigated direct experiences with nature and socialization as predictors of preschool-aged children's environmental moral reasoning. Children (n = 146; 52.7% male) from three U.S. states completed biophilia and environmental moral reasoning interviews. Parents (n=98) completed surveys about their children's activities in natural areas and…
Descriptors: Preschool Children, Moral Values, Predictor Variables, Natural Resources
Gado, Sabrina; Kempen, Regina; Lingelbach, Katharina; Bipp, Tanja – Psychology Learning and Teaching, 2022
Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This…
Descriptors: Artificial Intelligence, Psychology, Student Attitudes, Value Judgment
Torsney, Benjamin M.; Lombardi, Doug; Ponnock, Annette – Educational Psychology, 2019
This study investigated inclusion of epistemic value into Richardson and Watt Factors Influencing Teaching Choice (FIT-Choice) framework to produce a more robust, useful teacher motivation model. We specifically examined pre-service teachers' social utility value (SUV), personal utility value (PUV) and epistemic value regarding pursuing future…
Descriptors: Teacher Motivation, Preservice Teachers, Value Judgment, Faculty Development
Pratama, Aditya – Cypriot Journal of Educational Sciences, 2021
The purpose of this research was to measure the acceptance of Google Classroom use by junior high school students using variables such as habits, satisfaction, knowledge, and skills. To achieve the set objective, it adopted the TAM, which measures technology usability and ease of use. TAM also provides a theoretical basis for measuring students'…
Descriptors: Technology Integration, Educational Technology, Electronic Learning, COVID-19
Wessels, Insa; Rueß, Julia; Gess, Christopher; Deicke, Wolfgang; Ziegler, Matthias – Studies in Higher Education, 2021
Research-based learning (RBL) is regarded as a panacea when it comes to effective instructional formats in higher education settings. It is said to improve a wide set of research-related skills and is a recommended learning experience for students. However, whether RBL in the social sciences is indeed as effective as has been postulated for other…
Descriptors: Student Research, Student Attitudes, Student Motivation, Knowledge Level
Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Dalege, Jonas; Raijmakers, Maartje E. J. – Australian Journal of Education, 2020
Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International…
Descriptors: Adolescents, Grade 10, Grade 12, High School Students
List, Alexandra; Alexander, Patricia A.; Stephens, Lori A. – Discourse Processes: A multidisciplinary journal, 2017
Three indicators of undergraduate students' (n = 197) source evaluation were investigated as students completed an academic task requiring the use of multiple texts. The source evaluation metrics examined were students' (1) accessing of document information, (2) trustworthiness ratings, and (3) citation in written responses. All three indicators…
Descriptors: Undergraduate Students, Evaluation Methods, Information Sources, Credibility