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Showing 1 to 15 of 64 results Save | Export
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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
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Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
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Beckie Bray Rankin; Nikki Prasad – NECTFL Review, 2024
Motivating students towards language learning includes embedding meaningful themes, communicative tasks, and authentic assessments. When voice and choice are held as essential qualities of the task, students invest in the resources to make meaning and express their own thoughts, thus moving us away from traditional assessments that emphasize…
Descriptors: Student Attitudes, Performance Based Assessment, Second Language Learning, Second Language Instruction
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Bernauer, James A. – LEARNing Landscapes, 2020
The purpose of this study is to explain how performances are used within a flipped classroom environment in a university educational psychology class. This instructional approach also incorporates the concept of "integrated assessment" where assessment and instruction are intimately connected. Examples of student-led instruction using…
Descriptors: Blended Learning, Teaching Methods, Student Evaluation, Educational Psychology
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Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
Lambert, Richard G. – Center for Educational Measurement and Evaluation, 2018
This report contains reliability and validity evidence for the North Carolina Kindergarten Entry Assessment system (KEA) using a statewide sample of kindergarten children. The KEA was designed as a formative, developmental, authentic, and criterion referenced classroom resource for teachers. As a formative assessment, the KEA focuses on the…
Descriptors: Psychometrics, School Readiness, Kindergarten, Formative Evaluation
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Buder, Laura J. – Unterrichtspraxis/Teaching German, 2018
Over the last few years, I have seen a significant impact on student learning from improving and adapting my instruction in three main areas: backward designing instruction for target proficiency levels, transitioning to standards-based grading, and implementing performance-based assessments that focus on proficiency. These strategies have not…
Descriptors: German, Second Language Learning, Second Language Instruction, Language Proficiency
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Ozturk, Tugba; Guven, Bulent – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Problem solving is not simply a process that ends when an answer is found; it is a scientific process that evolves from understanding the problem to evaluating the solution. This process is affected by several factors. Among these, one of the most substantial is belief. The purpose of this study was to evaluate the beliefs of high school students…
Descriptors: Beliefs, Student Evaluation, Problem Solving, Case Studies
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Cotter, Matthew; Hinkelman, Don – Research-publishing.net, 2019
Assessing student presentations can be made more reliable with video-recording and post-performance rating. Further, self assessment and peer assessment can aid in the learning process by students when using specific, easy-to-understand rubrics. A ten-year action research study involved video-recorded performance assessment tasks using a free,…
Descriptors: Student Evaluation, Video Technology, Self Evaluation (Individuals), Peer Evaluation
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Xiong, Xiaolu; Zhao, Siyuan; Van Inwegen, Eric G.; Beck, Joseph E. – International Educational Data Mining Society, 2016
Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and large-scale artificial neural networks, there have been empirical successes in a number of machine learning and data mining applications, including…
Descriptors: Intelligent Tutoring Systems, Computer Software, Bayesian Statistics, Knowledge Level
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Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach
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Beckers, Jorrick; Dolmans, Diana; Van Merriënboer, Jeroen – Australasian Journal of Educational Technology, 2016
e-Portfolios have become increasingly popular among educators as learning tools. Some research even shows that e-portfolios can be utilised to facilitate the development of skills for self-directed learning. Such skills include self-assessment of performance, formulation of learning goals, and selection of future tasks. However, it is not yet…
Descriptors: Electronic Publishing, Portfolios (Background Materials), Independent Study, Skill Development
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Mitchell, Erik – Education for Information, 2013
This study uses formal and informal student feedback as a source for understanding the impact of experimental course elements. Responses were used to develop a codebook, which was then applied to the entire dataset. The results inform our understanding of student's conceptions of professional identity, learning styles and curriculum design.…
Descriptors: Curriculum Design, Feedback (Response), Student Reaction, Professional Identity
Shoemaker, Betty; Lewin, Larry – ASCD, 2011
Get an in-depth understanding of how to create fun, engaging, and challenging performance assessments that require students to elaborate on content and demonstrate mastery of skills. This update of an ASCD (Association for Supervision and Curriculum Development) classic includes new scoring methods, reading assessments, and insights on navigating…
Descriptors: Writing Assignments, Performance Based Assessment, Scoring, Student Evaluation
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