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Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Sema Kara – International Journal of Modern Education Studies, 2025
The aim of this study is to investigate the effects of artificial intelligencesupported teaching practices on students' attitudes and course outcomes in the visual arts course at the 6th grade level of secondary school. The research was conducted in a private middle school in Mersin province, Turkey, in the second semester of the 2023-2024…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Attitude Measures
Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students
Hüseyin Ates; Mustafa Köroglu – Journal of Computer Assisted Learning, 2024
Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…
Descriptors: Cooperative Learning, Comparative Analysis, Academic Achievement, Learner Engagement
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
Matthew Finster; Lauren Decker-Woodrow; Barbara Booker; Craig A. Mason; Shihfen Tu; Ji-Eun Lee – Journal of Research on Educational Effectiveness, 2024
COVID-19 contributed to the largest student performance decline in mathematics since 1990. The nation needs cost-effective mathematic interventions to address this drop and improve students' mathematics performance. This study presents a cost-effectiveness analysis (CEA) of three algebraic technological applications, across four conditions: From…
Descriptors: Cost Effectiveness, Mathematics Achievement, Efficiency, COVID-19
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
Chen, Yan; Mayall, Hayley J.; Smith, Thomas J.; York, Cynthia S. – AERA Online Paper Repository, 2023
This study reports the integrated findings of a mixed-methods sequential explanatory study that investigated the feasibility and effectiveness of mobile-based writing tools (MBWTs) as well as gender differences that emerged from these learning effects in the narrative writing skills of a group of sixth to seventh grade Latinx English Learners…
Descriptors: Cultural Background, Gender Differences, Writing Instruction, Writing Skills
Kouo, Jennifer; Visco, Courtney – Focus on Autism and Other Developmental Disabilities, 2021
Inferential readings skills are necessary in ensuring that students with autism spectrum disorders (ASD) are successful in the general education curriculum. These skills provide a foundation for reading comprehension across content areas. Technology-aided instruction and intervention (TAII) has the potential to address these reading deficits, by…
Descriptors: Inferences, Reading Comprehension, Autism, Pervasive Developmental Disorders
Keyu Chen; Jiayi Lin; Zihan Wang; Kai Chen; Jing Yang – Journal of Chemical Education, 2023
Chemistry education has been affected in various aspects, especially teaching models, teaching technology, curriculum design, and teaching assessment, in Chinese Mainland since COVID-19 struck. To explore the change in teaching performance and differences in those teaching performances between middle school teachers and university teachers, this…
Descriptors: Chemistry, Science Instruction, Science Teachers, College Faculty
Al-Bogami, Basmah; Elyas, Tariq – SAGE Open, 2020
The use of iPad and other handheld devices in classrooms is spreading. Their use can empower learners and expose them to a plethora of resources. Yet, when it comes to learning a foreign language, reasonably little has been done to empirically ascertain the influence of iPad apps on facilitating language learning as well as engaging language…
Descriptors: Middle School Students, English (Second Language), Second Language Learning, Second Language Instruction
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
Harper, David; Bowles, Anita R.; Amer, Lauren; Pandža, Nick B.; Linck, Jared A. – AERA Open, 2021
English learners (ELs) in K-12 schools must acquire English while simultaneously mastering content knowledge. Educational technology may support students' learning through the affordance of individualized language practice. The current randomized controlled trial intervention study examined the effects of Rosetta Stone Foundations software on…
Descriptors: English Language Learners, Outcomes of Education, Comparative Analysis, Language Proficiency
Atun, Handan; Usta, Ertugrul – Participatory Educational Research, 2019
This study aims at investigating the effects of Programming Education Planned with TPACK (Technological Pedagogical Content Knowledge) Framework on middle school students' learning outputs within the ITS (Informational Technology and Software) course. Although TPACK is known as a teacher training program, this study demonstrates it can be used in…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Scores, Thinking Skills
Kim, Byoung Gwan; Shim, Hye Rin – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study investigated the optimal conditions under which foreign language learning takes place using a smartphone. The authors proposed that two factors, chunking and imagery, would increase language learning. On the basis of previous findings, they formulated three hypotheses: (a) the use of images will have a positive effect on learning…
Descriptors: Phrase Structure, Independent Study, Grade 7, English (Second Language)

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