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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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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
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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