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White, Holly; Lally, Diane; Forbes, Cory T. – Journal of Geoscience Education, 2022
Groundwater is a critical component of the global water cycle and standards-based topic within science education. However, students articulate an array of ideas about groundwater systems, including their natural and human elements. One way to support students' learning about groundwater systems is through the use of data-driven, computer-based…
Descriptors: Middle School Students, Secondary School Science, Grade 7, Science Process Skills
Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
Süleyman Emre Aktas; Çaglar Naci Hidiroglu – Journal of Pedagogical Research, 2024
The study aims to investigate prospective middle school mathematics teachers' mental actions related to debugging, which is one of the computational thinking skills in the modeling process. The study was conducted with a single-case embedded model. The collaborative working group consisted of three prospective mathematics teachers selected by…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematical Models, Mathematics Instruction
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
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
Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
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
Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
Yao, Jijun; Rao, Jialong; Jiang, Tao; Xiong, Changqian – Science Insights Education Frontiers, 2020
After the outbreak of the COVID-19 pandemic, China implemented the largest online education practice in human history. In the process, different teaching models coexist. Through a quasi-natural experiment, a total of 1,024 samples from Guiyang No.8 Middle School and another comparable school with the same conditions and students were enrolled for…
Descriptors: Foreign Countries, Teacher Role, Computer Assisted Instruction, Online Courses
Yao, Jijun; Rao, Jialong; Jiang, Tao; Xiong, Changqian – Online Submission, 2020
After the outbreak of the COVID-19 pandemic, China implemented the largest online education practice in human history. In the process, different teaching models coexist. Through a quasi-natural experiment, a total of 1,024 samples from Guiyang No.8 Middle School and another comparable school with the same conditions and students were enrolled for…
Descriptors: Foreign Countries, Teacher Role, Computer Assisted Instruction, Online Courses
Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
Tambunan, Hamonangan; Napitupulu, Efendi – International Education Studies, 2016
Now the demand for skilled labor is urgent. Development of skilled labor has been done in various ways either through education and training. Indonesia, especially North Sumatra state nurture some vocational schools that produce graduates which are expected to be ready for working, but have not been able to meet these expectations. Therefore we…
Descriptors: Multimedia Instruction, Engineering Education, Mechanics (Physics), Vocational Education
Cochran, Jill A.; Cochran, Zane; Laney, Kendra; Dean, Mandi – Mathematics Teaching in the Middle School, 2016
With the rise of personal desktop 3D printing, a wide spectrum of educational opportunities has become available for educators to leverage this technology in their classrooms. Until recently, the ability to create physical 3D models was well beyond the scope, skill, and budget of many schools. However, since desktop 3D printers have become readily…
Descriptors: Computer Peripherals, Printing, Geometry, Mathematics
Pelkey, Melissa M. – ProQuest LLC, 2018
An interest in writing practices in the state of Kansas led to a statewide survey of middle school teachers to examine key writing practices and issues. Questions focused on teacher preparation, beliefs, self-efficacy, and sense of responsibility to teach writing; use of evidence-based writing practices; the role of assessment; technology; types…
Descriptors: Writing Instruction, Middle School Students, Middle School Teachers, Writing Teachers
Sun, Daner; Looi, Chee-Kit; Xie, Wenting – Technology, Pedagogy and Education, 2017
When inquiry-based learning is designed for a collaborative context, the interactions that arise in the learning environment can become fairly complex. While the learning effectiveness of such learning environments has been reported in the literature, there have been fewer studies on the students' learning processes. To address this, the article…
Descriptors: Teaching Methods, Inquiry, Secondary School Students, Concept Formation