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Direct linkQazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Vernon, D. Sue; Schumaker, Jean B. – Journal of Special Education Technology, 2022
This study reports the effects of an interactive multimedia computer program for teaching social skills to youths with social-adjustment problems. Twelve youths (aged 11-17) were referred by the county diversion program or school guidance counselors. Seven were formally classified as having disabilities and had active Individualized Education…
Descriptors: Interpersonal Competence, At Risk Students, Computer Software, Multimedia Instruction
Council, Morris R., III; Gardner, Ralph, III; Cartledge, Gwendolyn; Telesman, Alana O. – Preventing School Failure, 2019
Reading RACES--Relevant and Culturally Engaging Stories (RR) is a repeated reading intervention using culturally relevant literature that is delivered through computer software. This study extends previous research with RR intended to further evaluate the effects of RR on the fluency and comprehension growth of second-grade students with reading…
Descriptors: Reading Improvement, Reading Instruction, Urban Schools, Culturally Relevant Education
Download full textBarber, Mariah; Cartledge, Gwendolyn; Council, Morris, III; Konrad, Moira; Gardner, Ralph; Telesman, Alana O. – Learning Disabilities: A Contemporary Journal, 2018
This study examined the effects of a novel computer software program, Reading RACES (Relevant and Culturally Engaging Stories), on the oral reading fluency and comprehension of three urban first graders who were English language learners (ELLs) and showed reading/special education risk. The individually administered intervention consisted of…
Descriptors: Computer Assisted Instruction, Reading Instruction, Reading Programs, Culturally Relevant Education
Utah State Board of Education, 2017
The Utah state legislature established the Early Intervention Software Program ("EISP") to aid in the development of Utah students' literacy skills through computer-based, adaptive reading software programs designed to meet students' unique learning needs. The Evaluation and Training Institute (ETI) conducts an annual evaluation of how…
Descriptors: Computer Software, Literacy, Computer Assisted Instruction, Program Evaluation
Council, Morris R., III; Cartledge, Gwendolyn; Green, DeLayna; Barber, Mariah; Gardner, Ralph, III – Behavioral Disorders, 2016
This descriptive study examined whether a computer-based, repeated reading intervention (i.e., Reading Relevant and Culturally Engaging Stories) is associated with improved reading and social behavior for three primary-aged urban black girls who each showed both academic and behavioral risk. The Reading Relevant and Culturally Engaging Stories…
Descriptors: At Risk Students, Grade 1, Grade 2, Urban Schools
Council, Morris R, III.; Cartledge, Gwendolyn; Green, DeLayna; Barber, Mariah; Ralph, Gardner, III. – Grantee Submission, 2016
This descriptive study examined whether a computer-based, repeated reading intervention (i.e., Reading Relevant and Culturally Engaging Stories) is associated with improved reading and social behavior for three primary-aged urban black girls who each showed both academic and behavioral risk. The Reading Relevant and Culturally Engaging Stories…
Descriptors: Observation, Educational Technology, Student Attitudes, Questionnaires
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Schmid, Richard F.; Miodrag, Nancy; Di Francesco, Nathalie – Journal of Research on Technology in Education, 2008
This study involved the analysis of the complex interactions that take place between tutors and preschool children using a computer during early literacy tutoring sessions. Eight five-year-old pre- and early-readers attending a childcare centre participated in daily 20-minute tutoring sessions for two weeks. The literacy software (a beta version)…
Descriptors: Grounded Theory, Preschool Children, Computers, Tutors
What Works Clearinghouse, 2007
Waterford Early Reading Program[TM] is a software-based curriculum for students in Kindergarten through second grade. The curriculum is designed to promote reading, writing, and typing, incorporating literacy skills such as letter mastery, language stories, spelling, basic writing skills, reading and listening development, and comprehension…
Descriptors: Computer Software, Emergent Literacy, Writing Skills, Reading Comprehension
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
