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Burhan Ogut; Blue Webb; Juanita Hicks; Ruhan Circi; Michelle Yin – Grantee Submission, 2024
In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our…
Descriptors: Mathematics Skills, Problem Solving, Learning Analytics, Algebra
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Beth A. Lindsey; Andrew Boudreaux; Drew J. Rosen; MacKenzie R. Stetzer; Mila Kryjevskaia – Physical Review Physics Education Research, 2024
In this study, we have explored the effectiveness of two instructional approaches in the context of the motion of objects falling at terminal speed in the presence of air resistance. We ground these instructional approaches in dual-process theories of reasoning, which assert that human cognition relies on two thinking processes. Dual-process…
Descriptors: Science Instruction, Teaching Methods, Instructional Effectiveness, Motion
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Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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Jeffrey Kramer Bye; Jenny Yun-Chen Chan; Avery H. Closser; Ji-Eun Lee; Stacy T. Shaw; Erin R. Ottmar – Journal of Numerical Cognition, 2024
Students often perform arithmetic using rigid problem-solving strategies that involve left-to-right-calculations. However, as students progress from arithmetic to algebra, entrenchment in rigid problem-solving strategies can negatively impact performance as students experience varied problem representations that sometimes conflict with the order…
Descriptors: Middle School Students, Middle School Mathematics, Arithmetic, Mathematics Skills
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Umam, Khoerul; Susandi, Ardi Dwi – International Journal of Evaluation and Research in Education, 2022
Identifying students' errors in solving cases of critical thinking skills from two variables of linear equation (TVLE). This was a qualitative study using a descriptive exploratory approach. The participants of the study were first-year students of mathematics education. The method used in this research is a test, interview, and triangulation. The…
Descriptors: Critical Thinking, Thinking Skills, Error Patterns, Problem Solving
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Allingham, Emma; Wöllner, Clemens – Journal of Research in Music Education, 2022
The constrained action hypothesis states that focusing attention on action outcomes rather than body movement improves motor performance. Dexterity of motor control is key to successful music performance, making this a highly relevant topic to music education. We investigated effects of focus of attention (FOA) on motor skill performance and EMG…
Descriptors: Human Body, Motion, Psychomotor Skills, Musical Instruments
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Chen, Xuemei; Wang, Suiping; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Structural priming studies in production have demonstrated stronger priming effects for unexpected sentence structures (inverse preference effect). This is consistent with error-based implicit learning accounts that assume learning depends on prediction error. Such prediction error can be verb-specific, leading to strong priming when a verb that…
Descriptors: Sentence Structure, Priming, Language Processing, Reading Comprehension
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Al-Mwzaiji, Khaled Nasser Ali; Alzubi, Ali Abbas Falah – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Students need more independent roles to evaluate their learning performance, especially in the absence of teachers' feedback due to some constraints such as technology and poor experience. This study investigates the potential of online self-evaluation on students' writing skills in English as a foreign language (EFL). It examines the preparatory…
Descriptors: Self Evaluation (Individuals), Writing Skills, English (Second Language), Second Language Instruction
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Ehrlich, Sara Zadunaisky; Stavans, Anat; Seroussi, Batia – Elementary School Journal, 2022
Spelling is a significant parameter in establishing text quality. This study aims to describe the developmental path of spelling errors in expository texts, argumentative and descriptive--written by Hebrew speaking children from second through fifth grades. Bearing in mind different genre requirements, we aimed to determine whether genre type…
Descriptors: Semitic Languages, Spelling, Error Patterns, Classification
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
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Jama, Itithaz – International Education Studies, 2022
This research focused on the common errors that EFL learners included in their writing. The frequent errors that the study focused on were at the micro level, specifically the structures that related to gerund and infinitive forms. The participants were selected from the English language department at one of the Saudi universities. They were…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Error Patterns
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Ozkaya, Merve; Kalac, Senem; Konyalioglu, Alper Cihan – International Journal of Assessment Tools in Education, 2022
The aim of this study is to investigate the effect of positive error climate in classrooms on middle school students' error orientations and attitudes towards mathematics. The data of the research were collected in the 2021-2022 academic year. The participants of the study consisted of 44 students in two 6th grade classes in a middle school in the…
Descriptors: Foreign Countries, Mathematics Instruction, Instructional Effectiveness, Middle School Students
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Kaya, Musa – Educational Policy Analysis and Strategic Research, 2022
This research was undertaken with the aim of evaluating, classifying, and detecting mistakes made by Tunisian students learning Turkish as a foreign language at the A1 level. The study is descriptive and was performed using document and content analysis methods. Forty Tunisian university students participating in the study were asked to write…
Descriptors: Foreign Countries, Turkish, Second Language Instruction, College Students
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