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Benjamin Goecke; Paul V. DiStefano; Wolfgang Aschauer; Kurt Haim; Roger Beaty; Boris Forthmann – Journal of Creative Behavior, 2024
Automated scoring is a current hot topic in creativity research. However, most research has focused on the English language and popular verbal creative thinking tasks, such as the alternate uses task. Therefore, in this study, we present a large language model approach for automated scoring of a scientific creative thinking task that assesses…
Descriptors: Creativity, Creative Thinking, Scoring, Automation
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Educational and Psychological Measurement, 2021
Unit-weight sum scores (UWSSs) are routinely used as estimates of factor scores on the basis of solutions obtained with the nonlinear exploratory factor analysis (EFA) model for ordered-categorical responses. Theoretically, this practice results in a loss of information and accuracy, and is expected to lead to biased estimates. However, the…
Descriptors: Scores, Factor Analysis, Automation, Fidelity
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Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Journal of Adult and Continuing Education, 2024
Job automation is a topical issue in a technology-driven labor market. However, greater amounts of human capital (e.g., often measured by education, and information-processing skills, including adult literacy) are linked with job security. A knowledgeable and skilled labor force better resists unemployment and/or rebounds from job disruption…
Descriptors: Human Capital, Automation, Job Security, Labor Force Development
Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Grantee Submission, 2023
Job automation is a topical issue in a technology-driven labor market. However, greater amounts of human capital (e.g., often measured by education, and information-processing skills, including adult literacy) are linked with job security. A knowledgeable and skilled labor force better resists unemployment and/or rebounds from job disruption…
Descriptors: Human Capital, Automation, Job Security, Labor Force Development
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Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
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Goldberg, Patricia; Sümer, Ömer; Stürmer, Kathleen; Wagner, Wolfgang; Göllner, Richard; Gerjets, Peter; Kasneci, Enkelejda; Trautwein, Ulrich – Educational Psychology Review, 2021
Teachers must be able to monitor students' behavior and identify valid cues in order to draw conclusions about students' actual engagement in learning activities. Teacher training can support (inexperienced) teachers in developing these skills by using videotaped teaching to highlight which indicators should be considered. However, this supposes…
Descriptors: Artificial Intelligence, Learner Engagement, Attention, Video Technology
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Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
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Garman, Andrew N.; Erwin, Taylor S.; Garman, Tyler R.; Kim, Dae Hyun – Journal of Competency-Based Education, 2021
Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…
Descriptors: Natural Language Processing, Automation, Guidelines, Leadership Effectiveness
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Moxon, Simon – IAFOR Journal of Education, 2021
A significant barrier to effective communication in a second language is the awareness and accurate reproduction of phonetic sounds absent in the mother tongue. This study investigated whether the automated evaluation of phonetic accuracy using speech recognition technology could improve the pronunciation skills of 105 (88 female, 17 male) Thai…
Descriptors: Automation, Computer Software, Computer Interfaces, Speech Communication
Demiralp, Burcu – ProQuest LLC, 2022
One of the challenges humans face is making collective decisions with regards to controversial issues related to science, namely socio-scientific issues (SSIs). Genetic modification, nuclear energy, experimental drugs, 5G technology are a few examples of SSIs. Some of the concerns posed by such issues are compromise to privacy and identity, threat…
Descriptors: Scientific Attitudes, Decision Making, News Reporting, Genetics