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Teaching to Individual Differences in Science and Engineering Librarianship
Adapting Library Instruction to Learning Styles and Personality Characteristics
Applies learning styles and personality characteristics to science and engineering library instruction, bringing forth new levels of discovery
Jeanine Mary Williamson (Author)
9780081018811, Elsevier Science
Paperback / softback, published 15 August 2017
188 pages
22.9 x 15.1 x 1.3 cm, 0.32 kg
Teaching to Individual Differences in Science and Engineering Librarianship: Adapting Library Instruction to Learning Styles and Personality Characteristics applies learning styles and personality characteristics to science and engineering library instruction. After introducing the idea that individuals tend to choose college majors and occupations in alignment with their learning style and personality characteristics, the book presents background on the Kolb Learning Styles model, the 16 PF (Personality Factor) framework, and the Big Five/Narrow Traits personality framework. It then reviews extant knowledge on the learning styles and personality characteristics of scientists, engineers and librarians. Next, the book considers general approaches to the personalization of instruction to learning styles and personality characteristics, opportunities for such personalization in science and engineering library instruction, and science and engineering librarian attitudes towards, and approaches to, this type of personalization of instruction.
1. Individual Differences 2. Learning Styles 3. Personality Frameworks 4. Personality Traits and Learning Styles of Librarians, Scientists, and Engineers 5. The Matching Approach 6. Reasons for Not Matching Instruction to Individual Differences 7. Results of Survey 8. Applications 9. Self-Reflection as a Way of Improving Instruction 10. Personality and Competencies for Engineering Students and Information Literacy 11. Conclusion
Subject Areas: Enterprise software [UFL], Social interaction [JFFP], Library & information services [GLM], Library, archive & information management [GLC]