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Facilitating Generative AI Literacy in the Face of Evolving Technology: Interventions in Marketing Classrooms
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Stefanie Beninger; Alex Reppel; Julie Stanton; Forrest Watson – Journal of Marketing Education, 2025
The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…
Descriptors: Business Education, Marketing, Artificial Intelligence, Computer Software
Use of Dependency-Annotated Learner Corpora in Measuring Syntactic Complexity for Granularity, Accuracy, Consistency, and Transparency: Implications for Research and Teaching
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Yujie Zhang; Lawrence Jun Zhang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Syntactic complexity has long been used to gauge language learners' performance, proficiency, and development, offering language teachers valid recommendations for syllabus design and materials development. Progress in syntactic complexity research foreshadows the imperative of measuring syntactic features at a high level of granularity, which…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Syntax