Even though digital technologies are ubiquitous in education, assessment methods continue to employ traditional assessments even though they are inadequate to provide information about a student's reasoning and conceptual understanding. Digital-based assessment models allow students to demonstrate higher-order skills while integrating digital technologies as a powerful teaching tool. Digital technologies can support inquiry-based learning that is essential to developing a deep conceptual understanding of the content. The Handbook of Research on Digital-Based Assessment and Innovative Practices in Education identifies digital tools and applications for effective assessment of learning, shares various models of digital-based assessment in education, and considers best pedagogical practices for assessment in education. Covering a range of topics such as formative assessments, design thinking, virtual reality, and equity, this major reference work is crucial for educational technologists, instructional designers, policymakers, administrators, faculty, researchers, academicians, scholars, practitioners, instructors, and students.

Gamification is an increasingly popular technology that has been utilized across a number of fields such as business, medicine, and education. As education continues to turn toward online teaching and learning, gamification is one of many new technologies that have been proven to assist educators in providing holistic and effective instruction. Additional research is required to ensure this technology is utilized appropriately within the classroom. The Handbook of Research on the Influence and Effectiveness of Gamification in Education considers the importance of gamification in the current learning environment and discusses the best practices, opportunities, and challenges of this innovative technology within an educational setting. Covering a wide range of critical topics such as engagement, serious games, and escape rooms, this major reference work is essential for policymakers, academicians, administrators, scholars, researchers, practitioners, instructors, and students.

Emerging methods, as well as best practices in well-used methods, in pharmacy are of great benefit to researchers, graduate students, graduate programs, residents and fellows also in other health science areas. Researchers require a text to assist in the design of experiments to address seemingly age-old problems. New interventions are needed to improve medication adherence, patients' lived experiences in health care, provider-patient relationships, and even various facets of pharmacogenomics. Advances in systems re-engineering can optimize health care practitioners' roles. Contemporary Research Methods in Pharmacy and Health Services includes multi-authored chapters by renowned experts in their field. Chapters cover examples in pharmacy, health services and others transcendent of medical care, following a standardized format, including key research points; valid and invalid assumptions; pitfalls to avoid; applications; and further inquiry. This is a valuable resource for researchers both in academia and corporate R&D, primarily in pharmacy but also in health services, and other health disciplines. Social science researchers and government scientists can also benefit from the reading. - Provides multi-authored chapters by renowned experts in their field - Includes examples for pharmacy and health services and others that are transcendent of medical care - Covers key research points, valid and invalid assumptions, pitfalls to avoid, applications, and further inquiry

This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic. The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.

This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions. Chapters “Leveraging Customer Reviews for E-commerce Query Generation” and “End to End Neural Retrieval for Patent Prior Art Search” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book constitutes the refereed proceedings of the 39th European Conference on IR Research, ECIR 2017, held in Aberdeen, UK, in April 2017. The 36 full papers and 47 poster papers presented together with 5 Abstracts, were carefully reviewed and selected from 248 submissions. Being the premier European forum for the presentation of new research results in the field of Information Retrieval, ECIR features a wide range of topics such as: IR Theory and Practice; Deep Learning and IR; Web and Social Media IR; User Aspects; IR System Architectures; Content Representation and Processing; Evaluation; Multimedia and Cross-Media IR; Applications.

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes: The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I). The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests. Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI. Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant. Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy. CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date. Efforts to bridge from those recent histories of development to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP. Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.