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A. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
Valerie Nazzaro; Jen Rose; Lisa Dierker; Courtney Merrick; Robin Donatello – Journal of College Science Teaching, 2024
The COVID-19 pandemic altered course delivery in higher education at many universities. This article evaluates the differences between student experiences in the fall 2019 semester (pre-pandemic) and those during the fall 2020 semester (pandemic) within a multidisciplinary, project-based introductory statistics course. Results indicated that there…
Descriptors: Student Projects, Introductory Courses, Statistics, College Mathematics
Poulsen, Helen – Online Submission, 2021
This report examines the beginning-of-year (BOY) reading performance of emergent bilingual students who attended virtual summer school in June 2020. Students' performance on the Texas Kindergarten Entry Assessment (TX-KEA) and MAP reading assessment was compared to that of similar emergent bilingual students who did not attend the summer school…
Descriptors: Electronic Learning, Summer Schools, English Language Learners, Bilingual Education
Office for Civil Rights, US Department of Education, 2023
The 2020-21 Civil Rights Data Collection (CRDC) is a mandatory survey of all public school districts and schools serving students in preschool through grade 12 in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico and therefore includes data from 17,821 public school districts and 97,575 public schools. The CRDC measures student…
Descriptors: Discipline, Educational Environment, Public Schools, Behavior Problems
North Dakota University System, 2022
The "2022 Fall Enrollment Report" contains the following tables, charts, and figures: (1) System Duplicated and Institutional Headcount Enrollments; (2) Full Time and Part Time Headcount; (3) High School Students Enrolled in College Courses, Beginning Freshmen and Transfer Students, Developmental and Collaborative Course Enrollments; (4)…
Descriptors: State Universities, Enrollment, Distance Education, Enrollment Trends
Weber, Jennifer – North Dakota University System, 2021
The "2021 Fall Enrollment Report" contains the following tables, charts, and figures: (1) System Duplicated and Institutional Headcount Enrollments; (2) Full Time and Part Time Headcount; (3) High School Students Enrolled in College Courses, Beginning Freshmen and Transfer Students, Developmental and Collaborative Course Enrollments; (4)…
Descriptors: State Universities, Enrollment, Distance Education, Enrollment Trends
Khamparia, Aditya; Pandey, Babita – Education and Information Technologies, 2017
In this paper we have discussed a novel method which has been developed for representation and retrieval of cases in case based reasoning (CBR) as a part of e-learning system which is based on various student features. In this approach we have integrated Artificial Neural Network (ANN) with Data mining (DM) and CBR. ANN is used to find the…
Descriptors: Case Method (Teaching Technique), Instructional Innovation, Electronic Learning, Artificial Intelligence
Weber, Jennifer – North Dakota University System, 2019
The "2019 Fall Enrollment Report" contains the following tables, charts, and figures: (1) System Duplicated and Institutional Headcount Enrollments; (2) Full Time and Part Time Headcount Enrollment; (3) High School Students Enrolled in College Courses, Beginning Freshmen and Transfer Students, Developmental and Collaborative Course…
Descriptors: Enrollment, Enrollment Trends, Full Time Equivalency, Full Time Students
Kauffman, Heather – Research in Learning Technology, 2015
Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined…
Descriptors: Electronic Learning, Predictor Variables, Academic Achievement, Success
Islam, Nurul; Beer, Martin; Slack, Frances – Journal of Education and Training Studies, 2015
E-learning has become a necessity in higher education institutions and is being deployed in educational establishments throughout the world. Researchers have made much emphasis on its benefits but not much is discussed on the disadvantages of e-learning technology. This paper references some of the research work on the limitations of e-learning…
Descriptors: Electronic Learning, Higher Education, Educational Benefits, Educational Technology
Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
Benedetti, Christopher – Journal of College Teaching & Learning, 2015
This article examines the characteristics and challenges of online instruction and presents a model for improving learner adaptation in an online classroom. Instruction in an online classroom presents many challenges, including learner individualization. Individual differences in learning styles and preferences are often not considered in the…
Descriptors: Models, Online Courses, Electronic Learning, Student Adjustment
Hunter, Lillian; St. Pierre, Leslie – Washington Office of Superintendent of Public Instruction, 2016
Online learning plays an important role in the state's education landscape. Both students and schools benefit from online courses by: (1) Allowing students to enroll in courses that are not available at their school; (2) Ensuring that students are able to earn credits needed for graduation; (3) Providing schools with a wide array of educational…
Descriptors: Electronic Learning, Online Courses, Annual Reports, Educational Benefits
McFarlane, Donovan A. – European Journal of Educational Research, 2012
This paper explores the challenges faced by teachers and educators in the online classroom, especially in light of existing learner differences among students stemming from intelligence, socioeconomic status (SES), culture, gender, among other factors. The author examines the characteristics of the online classroom and looks at learner differences…
Descriptors: Online Courses, Electronic Learning, Barriers, Student Characteristics
Kurucz, Sue; Rietze, Lori; Lim, Angie; Swamy, Mindy – Canadian Journal of Higher Education, 2015
Canada does not have enough nurses with doctoral degrees. Such nurses fill important roles as researchers, educators, leaders, and clinicians. While a growing number of Canadian universities offer doctorate degrees in nursing, most institutions have only traditional on-campus programs, posing barriers for nurses who reside in places geographically…
Descriptors: Foreign Countries, Web Based Instruction, Doctoral Programs, Cohort Analysis