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Procko, Carl; Morrison, Steven; Dunar, Courtney; Mills, Sara; Maldonado, Brianna; Cockrum, Carlee; Peters, Nathan Emmanuel; Huang, Shao-shan Carol; Chory, Joanne – CBE - Life Sciences Education, 2019
Next-generation sequencing (NGS)-based methods are revolutionizing biology. Their prevalence requires biologists to be increasingly knowledgeable about computational methods to manage the enormous scale of data. As such, early introduction to NGS analysis and conceptual connection to wet-lab experiments is crucial for training young scientists.…
Descriptors: Undergraduate Students, Data Analysis, Biology, Information Science
Zaheer, Imad; Maggin, Daniel; McDaniel, Sara; McIntosh, Kent; Rodriguez, Billie Jo; Fogt, Julie B. – Behavioral Disorders, 2019
Students with or at-risk for emotional and behavioral disorders pose an immense challenge for educators, and typical practices to address them are punitive and exclusionary, leading to poor academic and social outcomes for students. To address the complex needs of students with intensive emotional and behavioral needs, evidence-based practices and…
Descriptors: Emotional Disturbances, Behavior Disorders, Evidence Based Practice, Educational Practices
Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Liao, Soohyun Nam; Zingaro, Daniel; Thai, Kevin; Alvarado, Christine; Griswold, William G.; Porter, Leo – ACM Transactions on Computing Education, 2019
As enrollments and class sizes in postsecondary institutions have increased, instructors have sought automated and lightweight means to identify students who are at risk of performing poorly in a course. This identification must be performed early enough in the term to allow instructors to assist those students before they fall irreparably behind.…
Descriptors: Prediction, Low Achievement, Tests, Scores
Walsh, Matthew; O'Kane, Layla; Noronha, Gilberto; Taska, Bledi – Foundation for Excellence in Education (ExcelinEd), 2019
States should graduate students from high school prepared for the challenges they will face in college and their careers. Many states are working toward this goal by improving the quality of career and technical education (CTE) programs, and have looked to industry-recognized credentials as one component of this improvement. However, there is…
Descriptors: Credentials, High School Students, Career Readiness, Vocational Education
Chun, Edna; Evans, Alvin – Stylus Publishing LLC, 2019
Implementing systematic diversity transformation requires embracing all aspects of diversity--gender, sexual orientation, disability, gender identification, and other salient characteristics of difference--as well as race and ethnicity. This book lays out a framework for systematic and sustained diversity process that first recognizes that too…
Descriptors: Institutional Evaluation, Audits (Verification), Diversity (Institutional), Higher Education
National Forum on Education Statistics, 2019
The purpose of this guide is to provide timely and useful best practice information for collecting and managing data about students who have temporarily or permanently enrolled in another school or district because of a crisis. It includes lessons learned and provides recommendations for collecting and maintaining data about students who may move…
Descriptors: Data Collection, Information Management, Enrollment, Relocation
Noble, Amanda – ProQuest LLC, 2019
An achievement gap is defined as a significant difference in academic performance between two groups. Massachusetts Comprehensive Assessment System (MCAS) data indicate that, in Crestland Public School District (pseudonym), there is a clear achievement gap in mathematics between students with disabilities and those without disabilities,…
Descriptors: Achievement Gap, Mathematics Achievement, Students with Disabilities, Elementary School Students
Polikoff, Morgan S.; Gasparian, Hovanes; Korn, Shira; Gamboa, Martin; Porter, Andrew C.; Smith, Toni; Garet, Michael S. – Grantee Submission, 2019
As the standards movement continues into its third decade, there remains a need for alignment methodologies that can be broadly applied to study instruction and policy. This article reports on a series of development efforts meant to revise the Surveys of Enacted Curriculum (SEC) surveys and methods to study the implementation of new college- and…
Descriptors: Alignment (Education), Surveys, College Readiness, Career Readiness
McKown, Clark – Collaborative for Academic, Social, and Emotional Learning, 2019
Social and emotional learning (SEL) has been defined in various ways. One of the most commonly cited models, that of the Collaborative for Academic, Social, and Emotional Learning (CASEL), defines SEL as "the process through which students and adults acquire and effectively apply the knowledge, attitudes, and skills necessary to understand…
Descriptors: Social Development, Emotional Development, Competence, Evaluation Methods
Garcia-Velasquez, Erwin – ProQuest LLC, 2019
The purpose of this phenomenological study was to describe the characteristics of effective principals in high-poverty, high-performing urban elementary schools and how these align to the 21 Responsibilities identified by Marzano, Waters & McNulty (2005).The researcher was able to interview ten candidates that met the criteria for the study.…
Descriptors: Principals, Administrator Effectiveness, High Achievement, Academic Achievement
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michalis – Journal of Learning Analytics, 2020
Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited understanding of how and when students learn best. This issue confines researchers to contextualize evidence-driven outcomes when…
Descriptors: Learning Analytics, Data Collection, Instructional Design, Learning Modalities
Taylor, Leonard D., Jr. – Review of Higher Education, 2020
In this study I explored the experiences of institutional actors (e.g. administrators, faculty and staff members) responsible for student success efforts at research universities. Through Critical Discourse Analysis of interview transcripts and institutional documents, I traced how neoliberalism and other economic logics propagated through the…
Descriptors: Neoliberalism, Data Use, Decision Making, College Faculty
Mohsen, Mohammed Ali; Qassem, Mutahar – Journal of Psycholinguistic Research, 2020
Second language writing researchers have examined the affordances of Automated Writing Evaluation programs in providing immediate feedback that helps improve students' writing outputs. However, a little is known about tracking learners' process during writing essays and whether much/less pauses made by learners could predict good/poor quality of…
Descriptors: Second Language Learning, Writing Strategies, Keyboarding (Data Entry), Writing Skills
Anderson, Kaitlin P.; Ritter, Gary W. – Educational Policy, 2020
It is well documented that Black students are more likely to receive expulsions and suspensions than their White peers. These disparities are troubling, but researchers and policy makers need more information to fully understand the issue. We use 3 years (2010-2011 through 2012-2013) of state-wide student- and discipline incident-level data to…
Descriptors: School Policy, African American Students, Minority Group Students, Racial Bias