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Kelly Findley; Brein Mosely; Aaron Ludkowski – Statistics Education Research Journal, 2023
Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…
Descriptors: Thinking Skills, Statistics Education, Attribution Theory, Generalization
Institute for Women's Policy Research, 2021
Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
Cruse, Lindsey Reichlin; Holtzman, Tessa – Institute for Women's Policy Research, 2020
Head Start provides access to high-quality, affordable early learning opportunities for children alongside wraparound supports for parents which can help families achieve economic security by helping to facilitate parents' attainment of college credentials. Head Start-college collaboration can also bring important benefits to colleges and…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
Torres, Vasti; Jones, Susan R.; Renn, Kristen – Journal of College Student Development, 2019
This essay advances discussion of the evolution of student development theory as foundational knowledge for student affairs practice and the role theoretical consensus plays in the application of theory to student affairs practice. We located our discussion within the context of student affairs as a low-consensus field and address 2 related…
Descriptors: Student Personnel Services, Student Development, Theory Practice Relationship, Higher Education
Jones, Kyle M. L. – portal: Libraries and the Academy, 2019
Learning analytics involve the process of gathering data about students and using the information to intervene in their lives to improve learning and institutional outcomes. Many academic libraries now participate in learning analytics. However, such practices raise privacy and intellectual freedom issues due to sensitive data practices. But, few…
Descriptors: Ethics, Learning Analytics, Academic Libraries, Privacy
Morsomme, Raphaël; Alferez, Sofia Vazquez – International Educational Data Mining Society, 2019
Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…
Descriptors: Liberal Arts, Course Selection (Students), Courses, College Students
Clayton, Penny R.; Clopton, Jeremy – Journal of Education for Business, 2019
Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company's analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum.…
Descriptors: College Students, Business Administration Education, Curriculum Design, Data Analysis
Fladd, Laurie; Heacock, Laurie; Hill-Kelley, Jennifer; Lawton, Julia; Pechac, Sharmaine; Shamah, Devora; Woodruff, Amber – Achieving the Dream, 2021
This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…
Descriptors: Instructional Leadership, Instructional Design, Holistic Approach, Higher Education
Grace, Christine Cooper – Journal on Excellence in College Teaching, 2018
This article advocates using Leventhal's (1980) justice judgment theory to incorporate distributive and procedural justice into summative assessment of student learning in higher education. It reviews important commonalities between the process of employee performance appraisal in organizations and practices to assess student learning in academe…
Descriptors: Justice, Summative Evaluation, Student Evaluation, College Students
Kwong, Theresa; Hafiz, Muhammad; Lau, Peter; Chan, Isaac – Journal on Excellence in College Teaching, 2018
Differences in cultural background and prior academic background significantly affect the perception of academic integrity and ethics (AIE) among university students. While upholding the highest standards of AIE is crucial both academically and professionally, such abstract concepts are difficult to teach in the traditional classroom. With mobile…
Descriptors: Integrity, Ethics, Cultural Background, Prior Learning
Kristensen, Niels Nørgaard; Solhaug, Trond – Journal of Social Science Education, 2017
Purpose: This article analyses what characterises first time voters' self-reflections on party choice as they use voter advice applications. Method: This study is based on interviews of 28 Norwegian students (age 18-20) preparing themselves for their first election. Findings: Finding a party to vote for is primarily characterized by a process of…
Descriptors: Foreign Countries, College Students, Voting, Novices
Perry, Angela – Project on Student Debt, 2019
California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…
Descriptors: Education Work Relationship, Access to Information, Wages, Data Collection
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making