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Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
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
Mindrila, Diana L. – Psychology in the Schools, 2016
To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…
Descriptors: Classification, Student Behavior, Statistical Analysis, Multivariate Analysis
Keller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H. – Journal of Applied School Psychology, 2018
Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…
Descriptors: At Risk Students, Multivariate Analysis, Adaptive Testing, Computer Assisted Testing
Kahan, Tali; Soffer, Tal; Nachmias, Rafi – International Review of Research in Open and Distributed Learning, 2017
In recent years there has been a proliferation of massive open online courses (MOOCs), which provide unprecedented opportunities for lifelong learning. Registrants approach these courses with a variety of motivations for participation. Characterizing the different types of participation in MOOCs is fundamental in order to be able to better…
Descriptors: College Students, Student Behavior, Online Courses, Large Group Instruction
Song, Bora; Kim, Dae Won; Lee, Ki-Hak – Asia Pacific Education Review, 2016
This study observed the effect of contextual factors on vocational identity (VI) level in each VI status, originated by Marcia ("Handbook of adolescent psychology." Wiley, New York, 1980)'s identity status. This is an attempt to integrate status approach and dimension approach of VI development by finding within-status difference of…
Descriptors: Context Effect, College Students, Multivariate Analysis, Asians
de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…
Descriptors: Foreign Countries, Undergraduate Students, Self Control, Models
Pelletier, Daniel; Collerette, Pierre; Turcotte, Gilles; Beaulieu, Alexandre – Journal of International Education Research, 2013
The social and academic experiences of children and adolescents in school are a major concern for parents and their characteristics as protection or risk factors for their children's adaptation has been extensively studied. However, few studies have dealt with the behaviors, attitudes and beliefs of parents about the schools their children are…
Descriptors: Parents, Behavior, Foreign Countries, Family Structure
Farmer, Thomas W.; Irvin, Matthew J.; Leung, Man-Chi; Hall, Cristin M.; Hutchins, Bryan C.; McDonough, Erin – Social Psychology of Education: An International Journal, 2010
This study investigated the social preference and social prominence of 622 5th graders (290 boys, 332 girls) in relation to peer group membership. The sample was recruited from 11 elementary schools in a southeastern state. The ethnicity of participants was 55% European American, 41% African American, and 4% other. Peer groups were classified on…
Descriptors: Group Membership, Peer Relationship, Peer Groups, Grade 5
Clements, Tarol P. – ProQuest LLC, 2012
This disability category study was created to examine the relationship between the effects of inclusion with co-teaching methodologies on mathematics and language arts scores recorded from TCAP scores for 7th grade students who were found eligible for Special Education as having either a Specific Learning Disability or an Intellectual Disability.…
Descriptors: Mental Retardation, Middle School Students, Multivariate Analysis, Learning Disabilities
Gaotlhobogwe, Michael; Laugharne, Janet; Durance, Isabelle – Educational Research, 2011
Background: Understanding student attitudes to curriculum subjects is central to providing evidence-based options to policy makers in education. Purpose: We illustrate how quantitative approaches used in the social sciences and based on multivariate analysis (categorical Principal Components Analysis, Clustering Analysis and General Linear…
Descriptors: Student Attitudes, Social Sciences, Factor Analysis, Foreign Countries
Ng, Chi-Hung Clarence – Educational Psychology, 2009
This study explored adult learners' goal profiles in relation to the completion of a compulsory academic essay. Based on learners' scores on items assessing mastery, performance-approach, and work-avoidance goals, cluster analyses produced three distinct categories of learners: performance-focused, work-avoidant, and multiple-goal learners. These…
Descriptors: Feedback (Response), Academic Achievement, Goal Orientation, Essays
Browder, Diane M.; Flowers, Claudia; Wakeman, Shawnee Y. – Assessment in Education: Principles, Policy & Practice, 2008
This study empirically evaluated a classification schema based on symbolic communication level use with students with significant cognitive disabilities. Ninety-five teachers of students with significant disabilities rated students' level of performance on 10 academic tasks. Cluster analysis suggested a range of two to four clusters solutions.…
Descriptors: Academic Achievement, Expectation, Alternative Assessment, Disabilities
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Horton, Robert Wayne – ProQuest LLC, 2012
Purpose: The purpose of this study was to examine the score differences on the Texas Academic Knowledge and Skills (TAKS) Reading and Mathematics measures among students in Grades 10 and 11 as a function of music enrollment. Specifically, gender, ethnicity, socioeconomic status, and enrollment in choir, band, or orchestra or no music enrollment…
Descriptors: Academic Achievement, Music Education, Multivariate Analysis, Reading Tests
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