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Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
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Khajeloo, Mojtaba; Siegel, Marcelle A. – Instructional Science: An International Journal of the Learning Sciences, 2022
Concept map (CM) is introduced as a useful tool for studying students' system thinking (ST). However, it is more known to represent students' knowledge of system components and organization and less recognized as a tool to examine and enhance students' understanding about the underlying causal mechanisms in complex systems. In this study, through…
Descriptors: Concept Mapping, Thinking Skills, Systems Approach, Undergraduate Students
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Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
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Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
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Rellensmann, Johanna; Schukajlow, Stanislaw; Blomberg, Judith; Leopold, Claudia – Mathematical Thinking and Learning: An International Journal, 2023
We investigated how students' strategic knowledge about situational (pictorial) drawings and mathematical (schematic) drawings affects drawing accuracy and modeling competencies in the domain of geometry. We conducted a pre-posttest experimental study with 473 students in grade 9. Students were randomly assigned to one of three treatment…
Descriptors: Geometry, Mathematics Instruction, Accuracy, Freehand Drawing
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Saher, Al-Sabbah; Ali, Al Momani Jehad; Amani, Darwish; Najwan, Fares – Pegem Journal of Education and Instruction, 2022
This study aimed to explore the effect of authentic and traditional assessment on students' performance in the field of health and educational sciences. Both qualitative and quantitative research designs were used in this study. Study used A questionnaire containing 20 items: 10 items represented traditional assessment and the other 10 represented…
Descriptors: Performance Based Assessment, Student Evaluation, Evaluation Methods, Graduate Students
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Orr, J. Walker; Russell, Nathaniel – International Educational Data Mining Society, 2021
The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…
Descriptors: Programming Languages, Feedback (Response), Units of Study, Computer Science Education
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Huffman, Tanner J.; Mentzer, Nathan – International Journal of Technology and Design Education, 2021
Modeling allows students to become more effective designers. High school technology and engineering students engage in engineering design challenges as part of traditional instructional practices. Model-eliciting activities (MEA) present students with opportunities to elicit mathematical thinking that facilitates modeling. Students (n = 266) from…
Descriptors: Design, High School Students, Comparative Analysis, Scoring Rubrics
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Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
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Alonso-Fernández, Cristina; Martínez-Ortiz, Iván; Caballero, Rafael; Freire, Manuel; Fernández-Manjón, Baltasar – Journal of Computer Assisted Learning, 2020
Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires-postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict…
Descriptors: Case Studies, Teaching Methods, Game Based Learning, Student Motivation
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Aguilar, Jair J. – Mathematics Teaching Research Journal, 2021
A mathematical client-driven task known as Model-Eliciting Activities was implemented with students of different levels of achievement (i.e., low, average, and high) at the high-school level. The study strived to prove that Model-Eliciting Activities can be solved by students at any achievement level and be used as an assessment tool. Students…
Descriptors: Mathematics Instruction, Mathematics Achievement, Cooperative Learning, High School Students
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Abdullateef, Shifan Thaha; Muhammedzein, Fatima – Arab World English Journal, 2021
Although some assessment modes have proved successful, many learning problems encountered by low achieving learners need to be fixed by a more procedurally adequate remedial classroom assessment. Many EFL instructors adopt conventional and static modes of assessment rather than flexible and humanistic assessment modes. Hence, the study aims at…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Student Evaluation
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Oliver-Hoyo, Maria; Babilonia-Rosa, Melissa A. – Journal of Chemical Education, 2017
Decades of research have demonstrated the correlation of spatial abilities to chemistry achievement and career selection. Nonetheless, reviews have highlighted the need and scarcity of explicit spatial instruction to promote spatial skills. Therefore, the goal of this literature review is to summarize what has been done during the past decade in…
Descriptors: Spatial Ability, Chemistry, Biochemistry, College Science
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Deng, Lijun – Higher Education Studies, 2020
Based on the preliminary research findings in the project-based flipped learning model in Business English Translation course, this study designed a process-oriented assessment model for this course and tested its efficacy by an empirical study on 181 third-year English major students divided into three experimental class and three control class…
Descriptors: Business English, Flipped Classroom, Student Projects, Translation
Beheshti, Behzad; Desmarais, Michel C. – International Educational Data Mining Society, 2015
This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…
Descriptors: Goodness of Fit, Student Evaluation, Skills, Models
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