Description
The field of workplace assessment is at a critical stage in its evolution. The intersection of new technologies, globalization, and market shifts among assessment providers has created dramatic opportunities for the field along with some significant challenges. Artificial intelligence (AI) and other technological advances have altered what is possible in talent acquisition. As a new generation of technology-driven applications comes of age, a host of new issues and opportunities have emerged that require assessment professionals to respond with an informed perspective that balances return-on-investment priorities with appropriate professional and scientific rigor.In response to this context, this volume focuses on trends and innovations in talent assessment, framing practical solutions for managing the disruption in assessment while incorporating new insights and technologies into organizational assessment programs. Featuring chapters from consultants and technologists pushing the edges of what's possible with new tools, to professionals putting them into practice, and attorneys who focus on minimizing risk, this volume examines these disruptive forces from all sides. The chapters are grouped into four sections that cover (1) advances in the foundational science of assessment, (2) technology-related innovations, (3) updates to regulations, principles, and standards, and (4) assessment for development. Including a variety of case studies that describe talent assessment in action and how organizations of varying sizes develop and implement assessment programs, this book is ideal for practitioners and academics in the field.
Table of Contents
ContentsSection 1: Introduction (Eds) (themes, structure, major topics)Chapter 1 State of the Practice in Talent AssessmentSection 2: Advances in the Foundational Science of Assessment and Supporting TechnologiesChapter 2 The Latest Multidisciplinary Research on AssessmentChapter 3 Methodological Updates in Personality Assessment for High Stakes UseChapter 4 Advances in Cognitive Ability Assessment in the Mitigation of Group DifferencesChapter 5 Applying Natural Language Processing to AssessmentChapter 6 Modern Research and Applications of Personality AssessmentChapter 7 Reflections on the Science of AssessmentSection 3: Innovations and TrendsChapter 8 Artificial Intelligence in Interviews and AssessmentChapter 9 Social Media Data in AssessmentsChapter 10 Leadership Assessment Using Natural Language ProcessingChapter 11 Assessment across Devices and ModalitiesChapter 12 Technology-Enabled Assessment SimulationsChapter 13 Reflections on Innovations and Trends in AssessmentSection 4: Regulations, Principles, and StandardsChapter 14 Balancing Innovation and Validation Using Updates on SIOP PrinciplesChapter 15 Data Privacy Implications of Assessment TechnologyChapter 16 Fairness, Reasonable Accommodations, Neurodiversity, and Updates on Diversity Considerations for AssessmentChapter 17 Managing Risks in a New Era of Assessments And Reflections on Legal and Standards Implications of Assessment TechnologySection 5: Assessment for DevelopmentChapter 18 Assessments as Part of Virtual Coaching InterventionsChapter 19 Accelerating Leadership Development through AssessmentChapter 20 Maximizing the Effectiveness of Assessment-Rich Development ProgramsChapter 21 Reflections on Assessments for DevelopmentSection 6: Case StudiesChapter 22 Innovative Assessment to Facilitate Candidate-Job MatchingChapter 23 Applications of Rich Media SimulationsChapter 24 Psychoneurometric Assessments for High-Risk JobsChapter 25 Gamified Assessments for Pre-Hire EvaluationChapter 26 Assessments for Accelerating DevelopmentChapter 27 Assessment in AsiaChapter 28 Assessment in a Large MultinationalSection 7: Conclusions and Future DirectionsChapter 29 Predictions for the Future of AssessmentChapter 30 Communicating about Assessment to Organizations and the PublicChapter 31 The role of VC in Technical Innovation in Assessment and The Business of AssessmentChapter 32 Diversity, Equity & InclusionChapter 33 Conclusions and Future Directions
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