1.

Record Nr.

UNINA9910786827703321

Titolo

Selected contemporary assessment issues [[electronic resource] /] / John H. Schuh, editor

Pubbl/distr/stampa

San Francisco, : Jossey-Bass, c2013

ISBN

1-118-73878-0

1-118-73887-X

Descrizione fisica

1 online resource (119 p.)

Collana

New directions for student services ; ; no. 142, Summer 2013

Altri autori (Persone)

SchuhJohn H

Disciplina

378.1

378.197

Soggetti

Educational counseling - United States

Counseling in higher education - United States

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Title page; Copyright page; Contents; Editor's Notes; 1: Challenges of Assessment in Student Affairs; The Climate for Assessment in Higher Education; Assessment Challenges in Student Affairs; Using Assessment to Make Management and Policy Decisions; Knowledge Discovery through Data Mining; The Politics of Assessment; Conclusions; 2: The Role of the Assessment Coordinator in a Division of Student Affairs; Role of Assessment Coordinator; Create and Manage Assessment Teams.; Encourage and Stimulate Assessment Projects.; Ensure That Assessment Is a Divisional Priority Among Senior Leaders.

Provide Educational Opportunities for Staff.Review Assessment Reports and Provide Feedback.; Challenges; Balancing Multiple Divisional Responsibilities.; Herding Cats.; Addressing Competing Priorities Among Divisional Leaders.; Connecting Assessment to Budget and Strategic Planning.; Enhancing the Skill of Professionals to Conduct Assessment.; Examples of Assessments and Impact of Results; Understanding the Community Service Experience of Conduct-Mandated Students.; Assessing the Needs of Transgendered Students, Queer Students of Color, and Queer Students of Faith.

Educating Student Athletes on Fueling for Performance.Living and Learning: Residence Life and the Continuous Cycle of Assessment.; Conclusion; 3: Using the CAS Standards in Assessment Projects;



Determining Quality through the Use of Standards; CAS Standards and Guidelines.; Relevant Research.; Assessing Both Programs and Outcomes.; CAS Approach to Self-Study.; Examples of Assessment Using CAS Standards; Considerations in Using CAS; Conclusion; 4: From Classroom to Practice: A Partnership Approach to Assessment; Course Description; Project Description and Examples; Project Description.

Example Projects.Evaluation and Revisions; Considerations for Implementation; Defining Partnerships.; Clarifying Roles.; Recognizing Opportunities.; Accepting Challenges.; Concluding Thoughts; 5: Collaborating on Assessment of the Undergraduate Student Experience; Student Life Strategic Planning; Retention and Transition Initiatives: A Partnership; Ignite Program; Life of the Mind/Welcome Week; Assessment and Strategic Planning: Successes and Opportunities; 6: How Assessment Can Advance Efforts to Enhance Undergraduate Student Persistence

Using Assessment to Supplement Research on Student PersistenceTypes of Assessment; Needs Assessment.; Utilization Assessment.; Satisfaction Assessment.; Outcomes-Based Assessment.; Seidman's Retention Formula; Early Identification.; Interventions.; Summary; 7: Developing and Using Dashboard Indicators in Student Affairs Assessment; The Origins of Dashboards; Executive Information Systems.; Balanced Scorecards.; Dashboards.; What Is a Dashboard?; Applications and Types of Dashboards.; Dashboards and Key Performance Indicators.; Dashboards in the Context of Higher Education and Student Affairs

Dashboard Indicators in Higher Education and Student Affairs

Sommario/riassunto

As demands for accountability escalate, assessment continues to evolve as a central aspect of student affairs administration. Experience clearly indicates that without a robust portfolio of assessment activities, the services, programs, and activities of a student affairs division are at risk of being reassigned to other organizational units on campus-or, in a tight budgetary environment, being eliminated.  This sourcebook reminds student affairs educators of the importance of developing an assessment program and explores topics that will add depth and richness to such a program. From



2.

Record Nr.

UNINA9910847088503321

Autore

Takahashi Keisuke

Titolo

Materials Informatics and Catalysts Informatics : An Introduction / / by Keisuke Takahashi, Lauren Takahashi

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9702-17-8

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (301 pages)

Altri autori (Persone)

TakahashiLauren

Disciplina

620.100285

Soggetti

Materials science - Data processing

Cheminformatics

Catalysis

Chemistry - Data processing

Graph theory

Computational Materials Science

Computational Chemistry

Graph Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1. An Introduction to Materials Informatics and Catalysts Informatics -- Chapter 2. Developing an Informatics Work Environment -- Chapter 3. Programming -- Chapter 4. Programming and Python -- Chapter 5. Data and Materials and Catalysts Informatics -- Chapter 6. Data Visualization -- Chapter 7. Machine Learning -- Chapter 8. Supervised Machine Learning -- Chapter 9. Unsupervised Machine Learning and Beyond Machine Learning.

Sommario/riassunto

This textbook is designed for students and researchers who are interested in materials and catalysts informatics with little to no prior experience in data science or programming languages. Starting with a comprehensive overview of the concept and historical context of materials and catalysts informatics, it serves as a guide for establishing a robust materials informatics environment. This essential resource is designed to teach vital skills and techniques required for conducting informatics-driven research, including the intersection of hardware, software, programming, machine learning within the field of data



science and informatics. Readers will explore fundamental programming techniques, with a specific focus on Python, a versatile and widely-used language in the field. The textbook explores various machine learning techniques, equipping learners with the knowledge to harness the power of data science effectively. The textbook provides Python code examples, demonstrating materials informatics applications, and offers a deeper understanding through real-world case studies using materials and catalysts data. This practical exposure ensures readers are fully prepared to embark on their informatics-driven research endeavors upon completing the textbook. Instructors will also find immense value in this resource, as it consolidates the skills and information required for materials informatics into one comprehensive repository. This streamlines the course development process, significantly reducing the time spent on creating course material. Instructors can leverage this solid foundation to craft engaging and informative lecture content, making the teaching process more efficient and effective. .