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Christopher Emerling – ProQuest LLC, 2022
The National Center on Education Statistics (2019) reports that of the nearly 7 million students who have qualified for special education services, 34% identify with a specific learning disability (LD). This study aimed to investigate the extent to which a conversational assistant (Amazon Alexa) programed with the self-regulated strategy…
Descriptors: Artificial Intelligence, Synchronous Communication, Electronic Equipment, Learning Disabilities
Laurie Balsano Wright – ProQuest LLC, 2022
The Collaborative for Academic, Social, and Emotional Learning (CASEL) has spent over 2 decades researching the importance of social-emotional learning (SEL). The CASEL's (2020b) research revealed that the implementation of evidence-based SEL programs led to an 11% gain in student achievement, fewer behavior issues, reduced dropout rates, and…
Descriptors: Social Emotional Learning, Program Effectiveness, COVID-19, Pandemics
Alex Warstadt – ProQuest LLC, 2022
Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…
Descriptors: Language Acquisition, Artificial Intelligence, Computational Linguistics, Ethics
Michael Simonson Ed.; Deborah Seepersaud Ed. – Association for Educational Communications and Technology, 2022
For the forty-fifth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. The Proceedings of AECT's Convention are published in two volumes. Volume #1 contains papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Flipped Classroom, Artificial Intelligence
Sarah Cohodes; Sean Corcoran; Jennifer Jennings; Carolyn Sattin-Bajaj – Blueprint Labs, 2022
This paper reports the results of a large, school-level randomized controlled trial evaluating a set of three informational interventions for young people choosing high schools in 473 middle schools, serving over 115,000 8th graders. The interventions differed in their level of customization to the student and their mode of delivery (paper or…
Descriptors: Middle School Students, School Choice, Information Seeking, Decision Making
Gregory J. Heathco – Communication Teacher, 2025
University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…
Descriptors: English (Second Language), Second Language Learning, Comparative Analysis, Language Processing
Erika Lundquist; Brit Henderson; Sophia Sutcliffe; Laura Cojocaru; Kasey Eickmeyer; Annabel Utz; Sufiyan Syed; Audrey Yu – MDRC, 2025
Since 2019, high school seniors from low-income households in the state of Washington have received guidance from OtterBot, an interactive chatbot texting tool with artificial intelligence (AI) capabilities. The chatbot, designed by the Washington Student Achievement Council (WSAC), provides information to simplify the complex processes involved…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Financial Aid Applicants
Peer reviewedZirong Chen; Elizabeth Chason; Noah Mladenovski; Erin Wilson; Kristin Mullen; Stephen Martini; Meiyi Ma – Grantee Submission, 2025
Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatchers have a direct impact on response times and the overall effectiveness of emergency operations. However, traditional dispatcher training methods, which rely on…
Descriptors: Computational Linguistics, Cues, Emergency Programs, Safety
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Raigul Zheldibayeva – Educational Process: International Journal, 2025
Background/purpose: Despite the rapid assimilation of generative artificial intelligence (GenAI) into education, and initial evidence suggesting its potential in language learning, rigorous empirical investigations into its efficacy for cultivating specific language skills remain limited. This study aimed to address this lacuna by examining the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Nonmajors
Fangzhou Jin; Xiangmei Peng; Lanfang Sun; Zicong Song; Keyi Zhou; Chin-Hsi Lin – Journal of Computer Assisted Learning, 2025
Background: There are various challenges to teachers' use of generative artificial intelligence (GenAI) for professional learning. Although GenAI is expected to play a transformative role in teachers' learning, its impact on them remains subtle. Objectives: Guided by community of practice, this paper examines the integration of GenAI into an…
Descriptors: Artificial Intelligence, Communities of Practice, Technology Uses in Education, Experienced Teachers
Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Bunyamin Celik; Yunus Yildiz; Saban Kara – Australian Journal of Applied Linguistics, 2025
Expressing thoughts and feelings efficiently is fundamental in daily, academic, and professional life. Accordingly, self-efficacy beliefs play pivotal roles in shaping learners' speaking performance through various dimensions. Higher education institutions assume responsibility for boosting students' speaking self-efficacy, thereby contributing to…
Descriptors: Self Efficacy, English (Second Language), Second Language Instruction, Second Language Learning

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