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Anne C. Willkomm – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Artificial intelligence is a tool that has expanded exponentially since it became available to the public. It will disrupt industry and higher education. While many faculty have concerns about the impact of AI, professional staff members are using AI at a higher rate than their faculty peers. In specific administrative areas, the use of AI will…
Descriptors: Artificial Intelligence, Multiple Literacies, Ethics, Responsibility
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Kevin Whiteacre – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
High quality student outcome measures provide the foundation for effective learning assessment. These outcomes can be organized into different categories, such as skills or habits of mind, and evidence types, such as direct or indirect. Prevailing models of assessment, however, focus only on the distinction between direct and indirect evidence…
Descriptors: Behavioral Objectives, Educational Objectives, Outcome Measures, Student Evaluation
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Lorry-Ann Austin; Alana Hoare; Kimberley Thomas-Francois; Thomas Pypker; Le Anh Nguyen Cao – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
The primary aim of institutional learning outcomes assessment is the creation of a culture of assessment where faculty use evidence-based data to validate and improve teaching and learning for the benefit of students. Faculty are key to these processes and yet, they are often woefully disengaged from them. This paper presents findings from an…
Descriptors: Student Evaluation, Teacher Education, Faculty Development, Communities of Practice