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Cheng, Diane – Postsecondary Value Commission, 2021
There are a number of ways that student investment can be measured, including full cost of attendance (COA, also known as sticker price), net price (COA minus grant aid), and opportunity costs in the form of forgone earnings. This paper explores those options and makes recommendations for how student investment should be measured with ideal data…
Descriptors: Measurement Techniques, Student Costs, Investment, College Students
Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Ladino Nocua, Andrea Catalina; Cruz Gonzalez, Joan Paola; Castiblanco Jimenez, Ivonne Angelica; Gomez Acevedo, Juan Sebastian; Marcolin, Federica; Vezzetti, Enrico – Education Sciences, 2021
Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…
Descriptors: Learner Engagement, Cognitive Processes, Metabolism, Physiology
Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
Crick, Ruth Deakin; Knight, Simon; Barr, Steven – Journal of Learning Analytics, 2017
Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…
Descriptors: Educational Improvement, Holistic Approach, Data Collection, Data Analysis
Dahm, Kevin – Journal of STEM Education: Innovations and Research, 2014
ABET requires that engineering programs demonstrate continuous assessment and continuous improvement in order to be accredited. Central to the process is establishing and assessing measurable "student outcomes" that reflect whether the goals and objectives of the program are being met. This paper examines effective strategies for…
Descriptors: STEM Education, Scoring Rubrics, Grading, Assignments
Singer-Freeman, Karen E.; Robinson, Christine – Research & Practice in Assessment, 2020
A grand challenge is a problem that requires broad cooperation for successful resolution from a community of scholars. Several national and international organizations have generated lists of grand challenges to unify the efforts of scholars and practitioners in a field. However, the field of assessment has yet to identify its own set of grand…
Descriptors: Higher Education, Educational Assessment, Equal Education, Educational Improvement
van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
Karrie A. Shogren; Mauricio Garnier Villarreal – Journal of Special Education, 2015
The purpose of this study was to use data from the National Longitudinal Transition Study-2 (NLTS2) to (a) conceptually identify and empirically establish student, family, and school constructs; (b) explore the degree to which the constructs can be measured equivalently across disability groups; and (c) examine latent differences (means,…
Descriptors: Longitudinal Studies, Construct Validity, Disabilities, Statistical Data
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Prescott, Brian; Michelau, Demaree; Lane, Patrick – Education Commission of the States, 2016
College affordability, like many other postsecondary policy areas, requires coordinated federal and state policies built on coordinated information. While the potential for partnerships between states and the federal government is endless and often includes missed opportunities, this paper reimagines one form of federalism in higher education…
Descriptors: Federal State Relationship, Partnerships in Education, Data, Educational Policy
Bowman, Nicholas A.; Herzog, Serge – New Directions for Institutional Research, 2011
Decades of research in survey methodology and psychology have yielded important insights about how to create effective and valid survey instruments. As Porter (in press) has argued convincingly, college student surveys often fall well short of these standards by placing unrealistic demands on students' memory and by assuming that students readily…
Descriptors: College Students, Student Surveys, Measurement Techniques, Test Construction
Pike, Gary R. – New Directions for Institutional Research, 2011
In this chapter, the author examines the adequacy and appropriateness of self-report data using the lens of construct validity (Kane, 2006; Messick, 1989). Because construct validity focuses on the appropriateness of data for specific uses or interpretations, he limits his discussion to the use of self-report data in scholarly research. Other…
Descriptors: College Students, Measurement Techniques, Outcomes of Education, Data Analysis
Nelson, Jason M. – Journal of Attention Disorders, 2013
Objective: To investigate the self-concept of college students with ADHD. Method: College students with ADHD and their parents completed self-report and observer-report measures of self-concept, respectively. Results: Results indicated that college students with ADHD did not report problems with self-concept but their parents did for them. This…
Descriptors: Attention Deficit Hyperactivity Disorder, College Students, Measures (Individuals), Measurement Techniques
Pattanasri, N.; Mukunoki, M.; Minoh, M. – IEEE Transactions on Learning Technologies, 2012
Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide…
Descriptors: Foreign Countries, Comprehension, Visual Aids, Prediction

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