NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
National Assessment Program…1
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McEneaney, John; Morsink, Paul – Journal of Learning Analytics, 2022
Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be…
Descriptors: Curriculum Design, Learning Analytics, Educational Change, Computer Software
Office for Civil Rights, US Department of Education, 2024
The U.S. Department of Education's (Department's) Office for Civil Rights (OCR) provides this resource to assist school communities with ensuring that artificial intelligence (AI) is used in a nondiscriminatory manner in the nation's elementary and secondary schools and institutions of higher education consistent with federal civil rights laws.…
Descriptors: Artificial Intelligence, Computer Software, School Safety, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Romito, Marco; Gonçalves, Catarina; De Feo, Antonietta – European Educational Research Journal, 2020
In this paper, we discuss the case of the recent introduction of a career guidance software within Italian schools with the aim to explore the use of digital devices in the governance of educational processes within the field of lifelong guidance. First, we provide a semiotic analysis of the software and its online platform with the aim of…
Descriptors: Career Guidance, Computer Software, Technology Integration, Lifelong Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Danyang; Wu, Junjie Gavin – TESL-EJ, 2023
English language education nowadays is not merely about the instruction and acquisition of linguistic knowledge and skills. Instead, it has progressed to the real-life applications of the target language, which further requires a mastery of cultural knowledge and skills. In terms of culture, English as a Foreign Language (EFL) learners, compared…
Descriptors: Cultural Awareness, Teaching Methods, Student Projects, Active Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Knipe, Sally – Educational Research Quarterly, 2019
The technological capacity that now exists to gather and store large amounts of data has improved access to information regarding young people in schools. Improvements in data management techniques and statistical data software packages have made retrieving and analysing systems data a more accessible and manageable process. On a smaller scale,…
Descriptors: Educational Improvement, School Effectiveness, Data Analysis, Indexes
Peer reviewed Peer reviewed
Direct linkDirect link
Angera, Jeffrey J.; Latty, Christopher R. – American Journal of Sexuality Education, 2015
Human sexuality courses are common across many college/university campuses. The methods of instruction typically encourage discussion to increase knowledge and critical thinking about self, relationships, and professional pathways. However, often the pedagogical practices do not include methods to draw out students with a range of personalities,…
Descriptors: Sex Education, Sexuality, Teaching Methods, Learner Engagement
Browning, Bill – Aspen Institute, 2015
"Working Together and Making A Difference: Virginia Western Community College and Goodwill Industries of the Valleys Partnership Case Study Report" is a report aimed at informing community college and workforce leaders of best practices for launching and expanding partnerships to serve students more effectively. Co-published by AspenWSI…
Descriptors: Partnerships in Education, Community Colleges, Labor Force Development, Nonprofit Organizations
Demski, Jennifer – Campus Technology, 2009
According to the 2008 Community College Survey of Student Engagement (CCSSE): 82 percent of community college students surveyed have part-time jobs (and over half of this group works more than 20 hours a week); almost all (93 percent) reported commuting to campus and 21 percent said they spend between six and 20 hours a week in the commute;…
Descriptors: College Students, Community Colleges, Learner Engagement, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Curilem, S. Gloria; Barbosa, Andrea R.; de Azevedo, Fernando M. – Computers & Education, 2007
This article proposes a mathematical model of Intelligent Tutoring Systems (ITS), based on observations of the behaviour of these systems. One of the most important problems of pedagogical software is to establish a common language between the knowledge areas involved in their development, basically pedagogical, computing and domain areas. A…
Descriptors: Student Characteristics, Mathematical Models, Intelligent Tutoring Systems, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Edgington, Theresa M. – Journal of Information Technology Education: Innovations in Practice, 2011
Text analytics refers to the process of analyzing unstructured data from documented sources, including open-ended surveys, blogs, and other types of web dialog. Text analytics has enveloped the concept of text mining, an analysis approach influenced heavily from data mining. While text mining has been covered extensively in various computer…
Descriptors: Feedback (Response), Constructivism (Learning), Web Sites, Class Activities
Peer reviewed Peer reviewed
Gibb, Forbes; Cronin, Blaise – Education for Information, 1985
Describes Expert 4, a knowledge-base management system which develops student performance predictors based on routinely collected student data. When exploited, these predictors serve to improve recruitment and selection processes. Tabulations of data on library and business information technology students, produced by Expert 4, are presented to…
Descriptors: Computer Software, Databases, Higher Education, Identification
Peer reviewed Peer reviewed
Blaye, Agnes; And Others – European Journal of Psychology of Education, 1992
Reviews research on interactive computer learning. Examines the extent to which learner-computer interaction and learner-learner interaction can interfere with or support one another. Finds that viewing collaborative learning as joint negotiation of a common problem helps to define optimal characteristics of educational software. (CFR)
Descriptors: Cognitive Processes, Cognitive Style, Computer Software, Computer Software Evaluation
Peer reviewed Peer reviewed
Marques i Graells, Pere – Educational Media International, 1993
Presents a methodology for the development of educational software for use in secondary education based on the characteristics of the students and the curricular objectives. Topics discussed include desirable features of educational software and the engineering of educational software, including its interdisciplinary nature. (Contains 10…
Descriptors: Computer Assisted Instruction, Computer Software Development, Courseware, Curriculum Design
Becker, Henry Jay – Educational Technology, 2000
What uses of computers have effects on student engagement that seem most predicative of important learning? This research provides some evidence about this, examining empirical associations between kinds of software students use, teachers' pedagogical motivations behind their use, and one measure of student engagement: teachers' estimates of the…
Descriptors: Academic Achievement, Computer Assisted Instruction, Computer Software, Computer Uses in Education
Bowker, Leslie S.; Bowker, Rosemary C. – Collegiate Microcomputer, 1986
Describes the laboratory portion of the General Ecology course offered at California Polytechnic State University in which laboratory exercises to collect and analyze data were enriched through introduction of computerized data processing. Advantages, software development, program implementation, course specific computer usage, and student…
Descriptors: Computer Software, Course Content, Curriculum Enrichment, Data Analysis
Previous Page | Next Page »
Pages: 1  |  2