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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
Paul Riser – English in Education, 2025
This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…
Descriptors: Ethics, English Instruction, Teaching Methods, Artificial Intelligence
Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
Wright, William Terrell – Journal of Adolescent & Adult Literacy, 2021
In this case study, ELA teacher candidates used video editing software to create mash-ups of popular YouTube videos in order to express critical commentaries about a range of educational issues and perspectives. Operating from a critical media literacies framework, candidates researched dissenting ways teaching and school(ing) were represented on…
Descriptors: Language Arts, English Teachers, Preservice Teachers, Computer Software
Ahmet Baytak – Research in Social Sciences and Technology, 2024
Following the emergence of chatbots, especially ChatGPT, researchers have begun to examine their capabilities, credibility, and reliability in educational context. In this study, ChatGPT and Google Gemini are used as technological tools to create 7th-grade lesson plans for mathematics, science, literature, and social studies classes. Using…
Descriptors: Lesson Plans, Content Analysis, Artificial Intelligence, Synchronous Communication
Sidrah Baloch; Thomas J. Kane; Ethan Scherer; Douglas O. Staiger – Annenberg Institute for School Reform at Brown University, 2022
Educators must balance the needs of students who start the school year behind grade level with their obligation to teach grade-appropriate content to all students. Educational software could help educators strike this balance by targeting content to students' differing levels of mastery. Using a regression discontinuity design and detailed…
Descriptors: Computer Software, Educational Technology, Remedial Instruction, Technology Uses in Education
Marlatt, Rick; Sulzer, Mark A. – E-Learning and Digital Media, 2021
Set in English Language Arts, this article takes up recent trends in literacy toward investigating ontological notions of digital texts. Two teacher educators recently implemented a series of readings and activities in their methods courses designed to help preservice teachers sophisticate their conceptions of texts beyond autonomous, neutral…
Descriptors: Preservice Teachers, English Instruction, Language Arts, Computation
Wang, Elaine Lin; Matsumura, Lindsay Clare; Correnti, Richard; Litman, Diane; Zhang, Haoran; Howe, Emily; Magooda, Ahmed; Quintana, Rafael – Grantee Submission, 2020
We investigate students' implementation of the feedback messages they received in an automated writing evaluation system ("eRevise") that aims to improve students' use of text evidence in their writing. Seven 5th and 6th-grade teachers implemented "eRevise" (n = 143 students). Qualitative analysis of students' essays across…
Descriptors: Feedback (Response), Writing Evaluation, Computer Software, Grade 5
Pöysä, Sanni; Vasalampi, Kati; Muotka, Joona; Lerkkanen, Marja-Kristiina; Poikkeus, Anna-Maija; Nurmi, Jari-Erik – British Journal of Educational Psychology, 2019
Background: Prior research has shown that engagement plays a significant role in students' academic learning. Aims: The present study sought to expand the current understanding of students' engagement by examining how situational engagement during a particular lesson is associated with the observed teacher-student classroom interactions (i.e.,…
Descriptors: Teacher Student Relationship, Learner Engagement, Secondary School Teachers, Secondary School Students
Wijekumar, Kausalai; Beerwinkle, Andrea; McKeown, Debra; Zhang, Shuai; Joshi, R. Maletesha – Grantee Submission, 2020
Main idea and summary are essential elements of reading comprehension. We report results from Grades 4 and 5 student performance on two years of state-mandated standardized reading testing which indicate that students perform statistically significantly lower on main idea and summary questions on the tests than any other question category. In this…
Descriptors: Reading Comprehension, Grade 4, Grade 5, Elementary School Students
Al-Busaidi, Fatma; Al Hashmi, Abdullah; Al Musawi, Ali; Kazem, Ali – International Journal of Education and Development using Information and Communication Technology, 2016
This paper is part of a strategic research project that aimed to assess the effectiveness of the design and use of new software for Arabic language learning (ALL). However, the focus of this paper is to understand Arabic teachers' perceptions of the effectiveness of the software that was designed purposely by the project's team to facilitate ALL…
Descriptors: Semitic Languages, Foreign Countries, Computer Software, Computer Uses in Education
Phillips, Andrea; Pane, John F.; Bogart, Andy – RAND Corporation, 2018
The Kentucky Valley Educational Cooperative and Green River Regional Educational Cooperative received an Investing in Innovation (i3) development grant from the U.S. Department of Education to implement the Creating College and Career Readiness (C3R) initiative. The initiative offered a suite of software developed by WIN Learning (WIN) to support…
Descriptors: Career Readiness, College Readiness, Program Effectiveness, Program Evaluation
VanSlyke-Briggs, Kjersti; Hogan, Molly; Waffle, Julene; Samplaski, Jessica – Journal of Educational Technology Systems, 2014
Building upon an established relationship between a college and a local school district, this project formally designated a Partnership School, at which education students conduct field experience. In addition to providing these participating pre-service teachers (students) with a clinically rich experience through closer supervision by and…
Descriptors: Student Teaching, Partnerships in Education, Interaction, High School Students
Matthew, Kathryn I.; Felvegi, Emese – TechTrends: Linking Research and Practice to Improve Learning, 2009
In this article, students' perceptions of the benefits and the challenges of creating a wiki for a language arts methods class are explored through their online reflections and interview transcripts. The students' own words describe their experiences about learning course content while collaborating to create a course wiki. Reflecting on the…
Descriptors: Methods Courses, Student Attitudes, Textbooks, Language Arts
Smith, Judith J.; Dobson, Ellen – Computers in the Schools, 2011
New information and communications technologies (ICT) are redefining teacher education. A university faculty member and an instructional technology consultant incorporated information and communications technologies within a graduate university methods course. The following research questions explored student perceptions of using Web 2.0 tools as…
Descriptors: Preservice Teacher Education, Methods Courses, Literacy, Educational Technology
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