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Akrom, Muhamad; Triyanto; Nurhasanah, Farida – International Online Journal of Education and Teaching, 2021
This study targets to 1) describe students' mathematical reasoning skills in terms of guardian personality type; 2) knowing the causes of student mistakes in answering questions. This type of study is descriptive qualitative. The subjects in this study were students of class XI MIPA four Wanasaba 1 Senior High School in East Lombok in the…
Descriptors: High School Students, Grade 11, Mathematics Skills, Mathematical Logic
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Trinter, Christine P.; Hughes, Hilary E. – RMLE Online: Research in Middle Level Education, 2021
This exploratory, embedded single study examined the experiences of middle grades teacher design teams over 10 months as they were immersed in the development of interdisciplinary curriculum units using a backward design framework. The teachers were supported by a researcher-practitioner partnership and situated in a middle level school structure…
Descriptors: Middle School Teachers, Curriculum Design, Educational Objectives, Faculty Development
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Jarry-Shore, Michael; Anantharajan, Madhuvanti – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
In solving mathematics problems in collaboration, students encounter a range of mathematical and social struggles. As teachers cannot possibly respond to every such struggle, they may need to respond to those with which students require most support. Yet, little is known about students' success in overcoming the various types of struggle they…
Descriptors: Mathematics Instruction, Cooperative Learning, Problem Solving, Barriers
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Tyburski, Brady A.; Drimalla, James; Byerley, Cameron; Boyce, Steven; Grabhorn, Jeffrey; Moore, Kevin C. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
The fields of quantitative and covariational reasoning boast a wide range of powerful theoretical tools, which are described carefully in the literature. Less frequent and explicit attention, however, has been paid to writing down detailed, practical guidance for operationalizing these theoretical constructs. Some guidance is provided by…
Descriptors: Guidelines, Thinking Skills, Student Behavior, Calculus
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López-Banet, Luisa; Perales, F.-Javier; Jimenez-Liso, M. Rut – Journal for the Study of Education and Development, 2021
The integrated STEAM approach arises when a contextualized problem's resolution requires different contributions (views) from each discipline. In this descriptive article we discuss the views needed from chemistry, technology, design skills, mathematical modelling and the artistic support necessary for constructing a scientific model that explains…
Descriptors: STEM Education, Art Education, Interdisciplinary Approach, Secondary School Students
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Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Danilov, Igor Val; Mihailova, Sandra – Online Submission, 2021
Empirical evidence shows the efficiency of coordinated interaction in mother-infant dyads through unintentional movements: social entrainment, early imitation. The growing body of the literature evidently shows an impact of arousal on group performance and spreading emotion from one individual to another organism, called emotional contagion. The…
Descriptors: Brain, Psychological Patterns, Intelligence, Intention
Calder, Nigel; Rhodes, Kate – Mathematics Education Research Group of Australasia, 2021
This paper reports on two teachers' perceptions as part of a project examining the learning that took place when 9 and 10-year-old children used "ScratchMaths" in their programme. The project used design-based methodology, which incorporated video-recorded classroom excerpts, teacher interviews, and teacher analysis and review of their…
Descriptors: Programming, Mathematics Education, Cooperative Learning, Thinking Skills
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Kwon, Yeil; Sahin, Nesrin – International Society for Technology, Education, and Science, 2021
Probability is generally considered one of the most challenging areas to teach in mathematics education due to its intricate nature. However, the simulation-based teaching method can increase students' accessibility significantly to the probability problems because it enables students to resolve the problems with minimal mathematical skills. By…
Descriptors: Probability, Mathematics Instruction, Difficulty Level, Teaching Methods
Arianna Doss – ProQuest LLC, 2021
CBM for mathematics assesses growth in accuracy and fluency of basic math skills using content from a student's curriculum. CBM for mathematics can include single-skill measures (SSM), skill-based measures (SBM), and general-outcome measures (GOM). Past research on growth rates in CBM for mathematics has focused on GOMs and has relied on…
Descriptors: Curriculum Based Assessment, Mathematics Achievement, Multiplication, Addition
Emmanuel Johnson – ProQuest LLC, 2021
Research in artificial intelligence has made great strides in developing 'cognitive tutors' that teach a range of technical skills. These automated tutors allow students to practice, observe their mistakes, and provide personalized instructional feedback. Evidence shows that these methods can increase learning above and beyond traditional…
Descriptors: Artificial Intelligence, Skill Development, Interpersonal Competence, Conflict Resolution
Zhiwen Tang – ProQuest LLC, 2021
Artificial intelligence (AI) aims to build intelligent systems that can interact with and assist humans. During the interaction, a system learns the requirements from the human user and adapts to the needs to complete tasks. A popular type of interactive system is retrieval-based, where the system uses a retrieval function to retrieve relevant…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Objectives, Reinforcement
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Mark Frydenberg; William VanderClock – Information Systems Education Journal, 2024
This paper reflects on the process of designing and implementing an update to the "Introduction to Information Technology" course at Bentley University, a business university in New England. Driven by a university-wide curriculum reform initiative and following best practices from digital literacy frameworks and IS model curricula, the…
Descriptors: Computer Science Education, Educational Change, Curriculum Development, Pilot Projects
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J. Jacob Kirksey; Kristin Mansell; Teresa Lansford – Policy Futures in Education, 2024
To aid in the development of a globally competitive workforce, federal policymakers have expressed the priority of preparing students and adults with disabilities to succeed in science, technology, engineering, and mathematics (STEM) fields. Yet, no research has examined the extent to which information-processing, literacy, numeracy, and…
Descriptors: STEM Education, STEM Careers, Literacy, Numeracy
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Dawn Lees; Anka Djordjevic – British Journal of Guidance & Counselling, 2024
Taking action is crucial at all stages of career development learning to develop skills and employability with no particular career goal, or for specific career ambitions. This article explores the concept of grand challenges in the context of education for employability through the case study of an extra-curricular programme at a UK university.…
Descriptors: Employment Potential, Foreign Countries, Career Development, Skill Development
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