NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)2
Since 2007 (last 20 years)7
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhou, Guojing; Wang, Jianxun; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2017
In this study, we applied decision trees (DT) to extract a compact set of pedagogical decision-making rules from an original "full" set of 3,702 Reinforcement Learning (RL)- induced rules, referred to as the DT-RL rules and Full-RL rules respectively. We then evaluated the effectiveness of the two rule sets against a baseline Random…
Descriptors: Learning Theories, Teaching Methods, Decision Making, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Jonsdottir, Anna Helga; Bjornsdottir, Audbjorg; Stefansson, Gunnar – Journal of Statistics Education, 2017
A repeated crossover experiment comparing learning among students handing in pen-and-paper homework (PPH) with students handing in web-based homework (WBH) has been conducted. The system used in the experiments, the tutor-web, has been used to deliver homework problems to thousands of students in mathematics and statistics over several years.…
Descriptors: Homework, Web Based Instruction, Conventional Instruction, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Wenting; Adesope, Olusola O.; Nesbit, John C.; Liu, Qing – Journal of Educational Psychology, 2014
Intelligent Tutoring Systems (ITS) are computer programs that model learners' psychological states to provide individualized instruction. They have been developed for diverse subject areas (e.g., algebra, medicine, law, reading) to help learners acquire domain-specific, cognitive and metacognitive knowledge. A meta-analysis was conducted on…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Meta Analysis, Individualized Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Roschelle, Jeremy; Feng, Mingyu; Murphy, Robert F.; Mason, Craig A. – AERA Open, 2016
In a randomized field trial with 2,850 seventh-grade mathematics students, we evaluated whether an educational technology intervention increased mathematics learning. Assigning homework is common yet sometimes controversial. Building on prior research on formative assessment and adaptive teaching, we predicted that combining an online homework…
Descriptors: Middle School Students, Grade 7, Secondary School Mathematics, Mathematics Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Palocsay, Susan W.; Stevens, Scott P. – Decision Sciences Journal of Innovative Education, 2008
Web-based homework (WBH) Technology can simplify the creation and grading of assignments as well as provide a feasible platform for assessment testing, but its effect on student learning in business statistics is unknown. This is particularly true of the latest software development of Web-based tutoring agents that dynamically evaluate individual…
Descriptors: Internet, Homework, Objective Tests, Comparative Analysis
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection