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Tools for Education Policy Analysis is a training tool with several modules which include modeling worksheets. The training modules cover such topics as Assessing Policy Options for Teacher Training and Pay, Comparative Policy Analysis in Education, and Cost Effectiveness Analysis in Education. This hands-on interactive guide to evaluating and revamping education policy is designed to help policymakers in low-income countries identify weaknesses and make the most efficient use of scarce education resources. Education specialists in the developed world will also find the book an invaluable tool for analyzing priorities and arriving at cost-effective solutions given the practical and financial challenges teachers struggle with worldwide. Tools for Education Policy Analysis is both a self-paced learning guide and a practical assessment tool. This book, which also includes a CD-ROM, presents relevant policy problems and engages the user in a search for effective solutions. Moreover, users can plug in their own data and apply the statistical models to the specific challenges of their own educational systems. ... This manual contains a set of tools to assist policymakers in analyzing and revamping educational policy. Its main focus is on some economic and financial aspects of education and selected features in the arrangements for service delivery. Originally offered as a series of training workshops for World Bank staff to work with clients in the education sector in low-income countries, the book is also appropriate for education specialists in developed countries. The modules in the book are a self-contained set, complete with answer sheets to the exercises collected on a CD-ROM. Chapter 1, \"Introduction,\" offers an overview and background. The titles of the remaining chapters reflect the topics of the manual: (2) \"Diagnosing Structural Weaknesses in Education Implications for Project Selection\"; (3) \"Analyzing Costs in Education\"; (4) \"Conducting Cost-Effectiveness Analysis in Education\"; (5) \"Managing Teacher Deployment and Classroom Processes\"; (6) \"Assessing Policy Options for Teacher Training and Pay\"; (7) \"Analyzing Equity in Education\"; (8) \"Addressing Policy Issues in Girls' Schooling\"; (9) \"Performing Economic Analysis of Educational Technology\"; and (10) \"Conducting Comparative Policy Analysis in Education.\" Appended are instructions for performing regression analyses and using Excel. The manual also contains many tables, charts, graphs, and worksheets. (DIPF/Verlag).

Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students' learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

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 specific metrics to broad strategies for developing collaborative activities involving academic and student affairs, it shows how to integrate valuable resources into the assessment process and how to use that process to enhance the student experience. The authors also take the largest view, offering advice on developing an institutional culture of assessment and planning future actions that will best serve students during their collegiate years. This is the 142nd volume of this Jossey-Bass higher education quarterly series. An indispensable resource for vice presidents of student affairs, deans of students, student counselors, and other student services professionals, New Directions for Student Services offers guidelines and programs for aiding students in their total development: emotional, social, physical, and intellectual.

The PISA 2009 Technical Report describes the methodology underlying the PISA 2009 survey. It examines additional features related to the implementation of the project at a level of detail that allows researchers to understand and replicate its analyses. The reader will find a wealth of information on the test and sample design, methodologies used to analyse the data, technical features of the project and quality control mechanisms.

Doctoral education, a key component of higher education in the United States, is performing well. It educates future professors, researchers, innovators, and entrepreneurs. It attracts students and scholars from all over the world and is being emulated globally. This success, however, should not engender complacency. A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset that can be used to assess the quality and effectiveness of doctoral programs based on measures important to faculty, students, administrators, funders, and other stakeholders. This report features analysis of selected findings across six broad fields: agricultural sciences, biological and health sciences, engineering, physical and mathematical sciences, social and behavioral sciences, and humanities, as well as a discussion of trends in doctoral education since the last assessment in 1995, and suggested uses of the data. It also includes a detailed explanation of the methodology used to collect data and calculate ranges of illustrative rankings.

The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many countries around the world. In this article, we present and discuss the School Barometer, a fast survey (in terms of reaction time, time to answer and dissemination time) that was conducted in Germany, Austria and Switzerland during the early weeks of the school lockdown to assess and evaluate the current school situation caused by COVID-19. Later, the School Barometer was extended to an international survey, and some countries conducted the survey in their own languages. In Germany, Austria and Switzerland, 7116 persons participated in the German language version: 2222 parents, 2152 students, 1949 school staff, 655 school leaders, 58 school authority and 80 members of the school support system. The aim was to gather, analyse and present data in an exploratory way to inform policy, practice and further research. In this article, we present some exemplary first results and possible implications for policy, practice and research. Furthermore, we reflect on the strengths and limitations of the School Barometer and fast surveys as well as the methodological options for data collection and analysis when using a short monitoring survey approach. Specifically, we discuss the methodological challenges associated with survey data of this kind, including challenges related to hypothesis testing, the testing of causal effects and approaches to ensure reliability and validity. By doing this, we reflect on issues of assessment, evaluation and accountability in times of crisis.

The potential of feedback to enhance students’ performance on a task, strategies, or learning has long been recognized in the literature. However, feedback needs to be utilized by a learner to realize its potential. Hence, examining student perceptions of feedback and their links to effective uptake of feedback has been the focus of much recent feedback research. This paper presents a critical scoping review of the feedback perceptions literature. The review discusses the methods employed by 164 studies published between 1987 and 2018 and synthesizes the main findings across this body of literature. Lacking theoretical frameworks, repetitiveness (not replicability) of studies, and methodological problems observed among the reviewed have resulted in somewhat disappointing conclusions. Based on the findings, we present a framework for future investigations into student perceptions of feedback and suggest several avenues for the future of the field.

Objective. In the course of daily teaching responsibilities, pharmacy educators collect rich data that can provide valuable insight into student learning. This article describes the qualitative data analysis method of content analysis, which can be useful to pharmacy educators because of its application in the investigation of a wide variety of data sources, including textual, visual, and audio files. Findings. Both manifest and latent content analysis approaches are described, with several examples used to illustrate the processes. This article also offers insights into the variety of relevant terms and visualizations found in the content analysis literature. Finally, common threats to the reliability and validity of content analysis are discussed, along with suitable strategies to mitigate these risks during analysis. Summary. This review of content analysis as a qualitative data analysis method will provide clarity and actionable instruction for both novice and experienced pharmacy education researchers.

In recent years, one of the most significant trends in higher education in non-anglophone countries has been the growth in English Medium Instruction (EMI). However, provision is rapidly outpacing empirical research. This study examined how macro-level education policy with regard to EMI is both implemented and conceptualised at the institutional and classroom level in Chinese and Japanese universities. Utilising questionnaires with home students (n = 579) and staff (n = 28), interviews with home students (n = 29) and staff (n = 28) and four focus groups with staff and four with home students, in addition to questionnaires (n = 123), interviews (n = 10) and three focus groups with international students, the study provides insights into how EMI policy is operationalised, including types of programmes and language use, and how it is conceptualised by different stakeholders. The results highlight contextual constraints to policy implementation, calling for the need for more research into this growing trend and curriculum evaluation to inform context-sensitive ways to implement EMI policy. It also calls for a critical examination of monolingual EMI policies and academic norms amidst growing multilingualism in the EMI classroom as well as clear goals and objectives due to varying conceptualisations of the purposes of EMI amongst staff and students.