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Mu, Tong; Jetten, Andrea; Brunskill, Emma – International Educational Data Mining Society, 2020
In some computerized educational systems, there is evidence of students "wheel-spinning," where a student tries and repeatedly fails at an educational task for learning a skill. This may be particularly concerning in low resource settings. Prior research has focused on predicting and modeling wheel-spinning, but there has been little…
Descriptors: Computer Uses in Education, Artificial Intelligence, Academic Failure, Automation
Christine Mulhern – Grantee Submission, 2020
Choosing where to apply to college is a complex problem with long-term consequences, but many students lack the guidance necessary to make optimal choices. I show that a technology which provides low-cost personalized college admissions information to over forty percent of high schoolers significantly alters college choices. Students shift…
Descriptors: College Choice, College Admission, Artificial Intelligence, Computer Software
Kylie L. Anglin; Vivian C. Wong – Annenberg Institute for School Reform at Brown University, 2020
Researchers are rarely satisfied to learn only whether an intervention works, they also want to understand why and under what circumstances interventions produce their intended effects. These questions have led to increasing calls for implementation research to be included in high quality studies with strong causal claims. Of critical importance…
Descriptors: Intervention, Artificial Intelligence, Natural Language Processing, Semantics
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González-Pérez, Paula; Marrero-Galván, Juan José – Journal of Technology and Science Education, 2023
Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve…
Descriptors: Foreign Countries, Masters Degrees, Science Teachers, Science Education
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Hu, Jie; Peng, Yi; Chen, Xiao – IEEE Transactions on Learning Technologies, 2023
The prevalence of information and communication technologies (ICTs) has brought about profound changes in the field of reading, resulting in a large and rapidly growing number of young digital readers. The article intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and…
Descriptors: Decoding (Reading), Educational Technology, Information Technology, Reading Skills
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Liu, Chen-Chen; Liu, Shi-Jie; Hwang, Gwo-Jen; Tu, Yun-Fang; Wang, Youmei; Wang, Naini – Education and Information Technologies, 2023
With the rapid development of Artificial Intelligence, automatic writing evaluation (AWE) has received much attention from English Foreign Language (EFL) writing teachers. However, the obstacles and potential problems of integrating AWE in EFL writing instruction have yet to be explored. Scholars have indicated that the effectiveness of AWE in EFL…
Descriptors: Learner Engagement, English (Second Language), Second Language Learning, Second Language Instruction
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Heeg, Dagmar Mercedes; Avraamidou, Lucy – Educational Media International, 2023
Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…
Descriptors: Artificial Intelligence, Science Instruction, Educational Technology, Program Effectiveness
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Cummings, Robert – Journal of University Teaching and Learning Practice, 2023
During the pandemic three widespread shifts in teaching cultures affected digital writing pedagogies: resilient teaching, open teaching, and inclusive teaching. Resilient teaching design emerged as a strategy to counter the unpredictability of public health policies on class delivery modes, and emphasised designing for maximising student…
Descriptors: Pandemics, COVID-19, Computer Assisted Instruction, Writing Instruction
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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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John Sabatini; Arthur C. Graesser; John Hollander; Tenaha O'Reilly – Grantee Submission, 2023
We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…
Descriptors: Literacy Education, Intelligent Tutoring Systems, Decision Making, Standards
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Temitope Oteyola; Oluyemisi Akintitan; Oyetola Oyeniran – International Journal of Education and Development using Information and Communication Technology, 2023
Challenges of teaching Mathematics include inadequate teachers, over reliance on the talk and chalk method of teaching and inadequate use of instructional materials. These resulted in poor academic performance among secondary school students in Osun State, Nigeria. This study therefore determined the effect of locally developed smart learning…
Descriptors: Foreign Countries, Mathematics Instruction, Teaching Methods, Technology Uses in Education
Cansu Tatar – ProQuest LLC, 2023
Artificial Intelligence (AI) literacy skills have become essential to prepare youths for 21st- century needs. Despite the efforts to broaden AI education in K-12 classrooms, teaching AI concepts is mostly limited to Computer Science classrooms. Nonetheless, approximately half of U.S. high school students cannot access any Computer Science classes.…
Descriptors: English Instruction, Language Arts, English Teachers, Teacher Attitudes
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XiaoShu Xu; Xibing Wang; Yunfeng Zhang; Wenjuan Ma – International Society for Technology, Education, and Science, 2023
The integration of ChatGPT in Personal Learning Environments (PLEs) has emerged as a promising approach to personalized learning in tertiary education. ChatGPT is believed to have the potential to transform traditional higher education into a more personalized, quality-driven, and student-centered learning experience that fosters critical…
Descriptors: Artificial Intelligence, Computer Software, Risk, Educational Benefits
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Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Journal of Learning Analytics, 2019
Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article…
Descriptors: Learning Analytics, Technology Uses in Education, Artificial Intelligence, Stakeholders
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Poitras, Eric; Mayne, Zachary; Huang, Lingyun; Udy, Laurel; Lajoie, Susanne – Journal of Computer Assisted Learning, 2019
Student teachers' instructional planning requires them to regulate certain aspects of their own learning while designing lessons. The aim of this study is to support student teachers' self-regulated learning through the convergence effect, where network-based tutors are designed to optimize system recommendations of online resources based on…
Descriptors: Student Teachers, Independent Study, Scaffolding (Teaching Technique), Information Seeking
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