NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kerawalla, Lucinda; Chudasama, Meera; Messer, David J. – English in Education, 2023
Previous research suggests that students can use exploratory talk to support their thinking and learning. However, students' own perspectives on such talk, and whether/how they value it, are rarely sought. Thirty 12-year-olds and their teacher used Talk Factory on an interactive whiteboard and iPads to support exploratory talk in English lessons…
Descriptors: Student Attitudes, Video Technology, Educational Technology, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Gíslason, Ingólfur – Digital Experiences in Mathematics Education, 2021
In this article, I present a meaning-making trajectory of a teacher-class dialogue on digital, dynamic, geometric-functional tasks in an Icelandic upper-secondary classroom of low-attaining students. Learning is seen from a dialogical perspective, as taking up a more mathematical discourse, which here revolves in particular around the language of…
Descriptors: Foreign Countries, Classroom Communication, Secondary School Students, Low Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Sten Ludvigsen; Paul Warwick; Ingvill Rasmussen; Kari Anne Rødnes; Ole Smørdal; Louis Major – New Perspectives on Learning and Instruction, 2019
High-quality classroom dialogues improve students' capacities to learn school subjects and help them develop more general skills such as collaboration and critical thinking. In this chapter, we take a sociocultural stance toward learning and cognition. "Gap-closing" is used as a key concept to understand and explain why and how teachers…
Descriptors: Classroom Communication, Dialogs (Language), Computer Software, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Bodong; Scardamalia, Marlene; Bereiter, Carl – International Journal of Computer-Supported Collaborative Learning, 2015
Evaluating promisingness of ideas is an important but underdeveloped aspect of knowledge building. The goal of this research was to examine the extent to which Grade 3 students could make promisingness judgments to facilitate knowledge-building discourse. A Promising Ideas Tool was added to Knowledge Forum software to better support…
Descriptors: Elementary School Students, Grade 3, Learning Processes, Epistemology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Peer reviewed Peer reviewed
Wegerif, Rupert; Mercer, Neil – Language and Education, 1996
Proposes an approach to teaching reasoning through classroom conversation that integrates group work around computers into curriculum-related activities. The article examines research on collaborative learning and describes a program in which the computer is used to direct children's explicit, joint reasoning in curriculum-related activities. (79…
Descriptors: Class Activities, Classroom Communication, Cognitive Development, Computer Assisted Instruction
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