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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
Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
Aydin, Serap Öz; Azizoglu, Nursen; Yilmaz, Fatma Bilgican – Elementary School Forum (Mimbar Sekolah Dasar), 2023
This study aimed at designing instructional material named Biotechnology Instruction Module (BIM) which is enriched with active learning methods to enhance the 8th grade students' learning of the topic. The development of the teaching materials proceeded within the stages of the ADDIE instructional design model. The final form of the instructional…
Descriptors: Active Learning, Biotechnology, Case Studies, Genetics
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Topal, Selda; Korkmaz, S. Deniz – Elementary School Forum (Mimbar Sekolah Dasar), 2023
Students should be provided with more meaningful learning experiences to attract more students to STEM careers, Out-of-School learning environments can offer students exciting and motivating learning opportunities that formal environments cannot provide. Therefore, national education reforms in many countries that are working on popularizing STEM…
Descriptors: Grade 6, STEM Education, Informal Education, Career Choice
Üztemur, Servet – Participatory Educational Research, 2020
This paper aims to determine the predictive relationships between achievement goals and learning approaches in the context of social studies teaching and to compare the goal orientation models (3x2, 2x2) in the context of their relationships with learning approaches. The study utilized the multi-factorial predictive correlational design. The study…
Descriptors: Academic Achievement, Learning Strategies, Social Studies, Comparative Analysis
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Xu, Beichen; Su, Jun; Wang, Weiguo – Physics Education, 2018
Cosmic expansion is an important concept in astronomy. For ease of understanding, astronomers generally draw an analogy between cosmic expansion and the expansion of a spherical surface in 3D space. This study theoretically and experimentally investigates the laws governing the motion of particles on the surface of a balloon during expansion.…
Descriptors: Physics, Science Instruction, Astronomy, Motion
Kim, Dong-In; Julian, Marc; Boughton, Keith; Phenow, Aurore – Online Submission, 2022
Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…
Descriptors: Pandemics, COVID-19, Academic Achievement, English
Büscher, Christian; Schnell, Susanne – Statistics Education Research Journal, 2017
The present study investigates the processes of how German middle school students (age 14) interpret, contrast and evaluate different (informal) statistical measures in order to summarise and compare frequency distributions. To trace the developing insights into the properties of these measures, this paper uses the 'emergent modelling'…
Descriptors: Case Studies, Statistics, Middle School Students, Comparative Analysis
Langbeheim, Elon; Levy, Sharona T. – International Journal of Science Education, 2018
We developed a computerised simulation that utilises embodied modelling by letting students play the role of particles in a liquid. We compared the learning of two eight-grade classrooms that used the embodied modelling simulation during a weeklong learning module on phase change, with a comparison group that used an ordinary simulation with no…
Descriptors: Chemistry, Science Instruction, Comparative Analysis, Grade 8
Burnett, Alyson; McCullough, Moira; Williams, Breyon – Mathematica, 2021
The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…
Descriptors: School Turnaround, Grants, Federal Aid, Models
Richey, J. Elizabeth; Bernacki, Matthew L.; Belenky, Daniel M.; Nokes-Malach, Timothy J. – Journal of Experimental Education, 2018
Models of achievement goals suggest that different tasks and contexts influence the goals students adopt at a given time. However, many studies of achievement goals rely on measures assessed at the class level, analyze results with a variable-centered approach, and employ self-report questionnaires, which may reduce understanding of the contextual…
Descriptors: Grade 7, Grade 8, Middle School Students, Context Effect