NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Education Consolidation…1
First Amendment1
Assessments and Surveys
General Educational…1
What Works Clearinghouse Rating
Showing 1 to 15 of 140 results Save | Export
Pavlik, Philip I., Jr.; Eglington, Luke G. – Grantee Submission, 2021
An intelligent textbook may be defined as an interaction layer between the text and the student, helping the student master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook instruction and so is…
Descriptors: Textbooks, Intelligent Tutoring Systems, Electronic Learning, Instructional Design
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Madden, Oneil; Ashby, Soyini – Research-publishing.net, 2021
Living in the 21st century means living in an era that is increasingly globalising where cross-cultural communication is essential; thus, students should be given opportunities to cultivate their Intercultural Communicative Competences (ICC). This paper reports on Phase 3 of ClerKing, a Franco-Jamaican telecollaborative project, which involved…
Descriptors: Intercultural Communication, Second Language Learning, Second Language Instruction, Exchange Programs
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine; Vie, Jill-Jênn – International Educational Data Mining Society, 2019
Spaced repetition is among the most studied learning strategies in the cognitive science literature. It consists in temporally distributing exposure to an information so as to improve long-term memorization. Providing students with an adaptive and personalized distributed practice schedule would benefit more than just a generic scheduler. However,…
Descriptors: Intervals, Scheduling, Repetition, Memorization
Peer reviewed Peer reviewed
Direct linkDirect link
Goldring, Ellen B.; Grissom, Jason A.; Neumerski, Christine M.; Blissett, Richard; Murphy, Joseph F.; Porter, Andrew C. – AERA Online Paper Repository, 2016
Research over the past 35 years consistently reveals that principals spend minimal amounts of time on instructional leadership activities. Similarly, we know very little about how principals might be trained to change their time allocation to focus more on instructional leadership tasks. The paper describes the implementation and the time use of…
Descriptors: Principals, Administrator Effectiveness, Instructional Leadership, Time Management
Peer reviewed Peer reviewed
Direct linkDirect link
Preston, Courtney; Goff, Peter Trabert; Finch, Maida A. – AERA Online Paper Repository, 2017
We use a comprehensive database of teacher application data from Wisconsin to examine the job preferences of teachers with no experience. We examine both whether these preferences vary by teacher education credentials and over their time on the labor market and if credentials and job search behaviors predict success. Overall, we find that teachers…
Descriptors: Preferences, Beginning Teachers, Job Application, Job Search Methods
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Tracz, Susan M.; Wandeler, Christian; Bennet, Lisa H.; Yun, Cathy; Nelson, Frederick Peinado – AERA Online Paper Repository, 2017
Undergraduate programs for teachers often do not satisfy future teacher needs. The goal of this project was to improve the undergraduate experiences of future teachers at a California State University in two areas: the quality of pedagogy in content courses and creating cohorts for better scheduling and on-time graduation. Students participated in…
Descriptors: Preservice Teachers, Undergraduate Students, Student Experience, State Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Rands, Melissa L.; Gansemer-Topf, Ann M. – AERA Online Paper Repository, 2018
Background: Studio-based courses - the primary approach in design education--have been viewed as effective environments for learning. However, few studies have utilized an ecological lens to explore how the studio environment creates opportunities for social interaction through immersive studies of studio learning. Purpose: We engaged in an…
Descriptors: Case Studies, Ethnography, Studio Art, Design
Hadian, Shohreh; Sly, Nancy – International Association for Development of the Information Society, 2014
Colleges provide professional development opportunities to faculty to promote knowledge growth and improvement of skills. At the college, Scheduled Development (SD) time for faculty is based on the educational practice and recognition of the need for continuous professional development of faculty members. The paper presents a user-centered…
Descriptors: Database Management Systems, Faculty Development, College Faculty, Scheduling
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Barnett, Joshua H. – National Institute for Excellence in Teaching, 2014
Since the 1999-2000 school year, TAP: The System for Teacher and Student Advancement (TAP) has been implemented in hundreds of schools across the nation and demonstrated an ability to raise student achievement, improve the quality of instruction and increase the ability of high-need schools to recruit, retain and support effective teachers. The…
Descriptors: Teacher Effectiveness, High Schools, Secondary Education, Conferences (Gatherings)
Lee, Lung-Sheng – Online Submission, 2014
The mission of national colleges of technology (NCT's) in Japan and the universities of technology (UT's) in Taiwan is to pragmatically prepare quality engineers and technologists. In recent years, the partnership among NCT's and UT's is extended and expanded. This paper introduces the pragmatic and successful partnership between National United…
Descriptors: Educational Quality, Engineering Education, Partnerships in Education, Educational Cooperation
Rau, Martina A.; Pardos, Zachary A. – International Educational Data Mining Society, 2012
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to…
Descriptors: Intelligent Tutoring Systems, Mathematics, Knowledge Level, Scheduling
Corsello, Maryann; Sharma, Anu; Jerabek, Angela – Grantee Submission, 2015
Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…
Descriptors: Teacher Collaboration, Student Improvement, Improvement Programs, Information Utilization
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10