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Ding, Zhuolei; Jiang, Ting; Chen, Chuansheng; Murty, Vishnu P.; Xue, Jingming; Zhang, Mingxia – Learning & Memory, 2021
Recent studies have revealed that memory performance is better when participants have the opportunity to make a choice regarding the experimental task (choice condition) than when they do not have such a choice (fixed condition). These studies, however, used intentional memory tasks, leaving open the question whether the choice effect also applies…
Descriptors: Memory, Decision Making, Intention, Incidental Learning
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Garcia, Nicole; Shaughnessy, Meghan; Pynes, D'Anna – Mathematics Teacher: Learning and Teaching PK-12, 2021
Representing and recording student thinking in public spaces during mathematics discussions is challenging work. In this article, the authors articulate why skillfully recording and representing during discussions matters. The authors share principles for recording student thinking in the moment and share an activity structure to use with…
Descriptors: Mathematics Instruction, Discussion (Teaching Technique), Documentation, Thinking Skills
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Mor, Nuriel Shalom; Dardeck, Kathryn – Learning Disabilities: A Contemporary Journal, 2021
Early detection is key to intervening with students diagnosed with a specific learning disorder (SLD), which includes problems with spelling, grammar, punctuation, and clarity and organization of written expression, as a means of preventing potential negative consequences from this disorder. Deep convolutional neural networks (CNNs) perform better…
Descriptors: Learning Disabilities, Artificial Intelligence, Disability Identification, Handwriting
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Badrinath, Anirudhan; Wang, Frederic; Pardos, Zachary – International Educational Data Mining Society, 2021
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…
Descriptors: Models, Markov Processes, Mathematics, Intelligent Tutoring Systems
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Rüttenauer, Tobias – Sociological Methods & Research, 2022
Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet, several model specifications can be used, all assuming different types of spatial dependence. This study summarizes the most commonly used spatial regression models and offers a comparison of their performance by using Monte Carlo experiments. In…
Descriptors: Models, Monte Carlo Methods, Social Science Research, Data Analysis
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Khoury-Metanis, Afnan; Khateb, Asaid – Reading and Writing: An Interdisciplinary Journal, 2022
Although most studies in the field of literacy development suggest that writing and reading are two sides of the same coin, very little is known about writing in kindergarten in comparison to the vast number of studies on reading. In this study, we explored the connections between writing and reading using correlation and regression analyses…
Descriptors: Kindergarten, Young Children, Semitic Languages, Psychomotor Skills
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Naujoks, Nick; Harder, Bettina; Händel, Marion – Metacognition and Learning, 2022
Two studies investigated the testing effects on performance and on metacognitive judgment accuracy in authentic learning settings. Across two educational psychology courses, undergraduate students had the opportunity to voluntarily participate in four different practice tests during the term--without feedback in Study 1 (N = 201 students) or with…
Descriptors: Metacognition, Accuracy, Tests, Test Preparation
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Bestari, L. F.; Sarwanto; Pujayanto; Syam, W. P.; Harjunowibowo, D. – Physics Education, 2022
Light spectrum dispersion is an exciting subject in science because of its beautiful atmospheric colour phenomenon which attracts students. However, to see the phenomenon is not easy since it needs a spectrometer, which is commonly expensive. Therefore, the present study aims to describe a low-cost spectrometer for investigating lighting spectrum…
Descriptors: Light, Lighting, Computer Software, Measurement
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Zhao, Wanlin; Li, Baike; Shanks, David R.; Zhao, Wenbo; Zheng, Jun; Hu, Xiao; Su, Ningxin; Fan, Tian; Yin, Yue; Luo, Liang; Yang, Chunliang – Child Development, 2022
Recent studies established that making concurrent judgments of learning (JOLs) can significantly alter (typically enhance) memory itself--a "reactivity" effect. The current study recruited 190 Chinese children (M[subscript age] = 8.68 years; 101 female) in 2020 and 2021 to explore the reactivity effect on children's learning, its…
Descriptors: Evaluative Thinking, Memory, Metacognition, Children
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Kangaslampi, Riikka; Asikainen, Henna; Virtanen, Viivi – LUMAT: International Journal on Math, Science and Technology Education, 2022
This study aims at better understanding of the use of self-assessment to support high-achieving students in first-year university mathematics. The students, who had not previously self-assessed their skills and knowledge in mathematics, were given two self-assessment exercises during a calculus course: they assessed their prior knowledge and…
Descriptors: College Freshmen, Self Evaluation (Individuals), High Achievement, College Mathematics
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Yagci, Mustafa – Smart Learning Environments, 2022
Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…
Descriptors: Data Analysis, Academic Achievement, Prediction, Undergraduate Students
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Jones, Eli; Bergin, Christi; Murphy, Bridget – Educational Assessment, Evaluation and Accountability, 2022
A concerning attribute of teacher evaluations across countries is the systemic leniency of principals during classroom observations. However, little is known about the motivations behind this phenomenon. The purpose of this study is to explore the motivating factors behind principals' leniency in an authentic teacher evaluation system. In this…
Descriptors: Principals, Teacher Evaluation, Scores, Accuracy
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Dutt, Sarthika; Ahuja, Neelu Jyothi; Kumar, Manoj – Education and Information Technologies, 2022
Several studies have investigated the need for learning difficulties identification specifically Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children is a multiple screening process under psychologist's supervision. Learning difficulties identification is a difficult task; it affects the learning process…
Descriptors: Intelligent Tutoring Systems, Special Education, Learning Disabilities, Students with Disabilities
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Kolic-Vehovec, Svjetlana; Pahljina-Reinic, Rosanda; Roncevic Zubkovic, Barbara – Metacognition and Learning, 2022
The effects of collaborative learning and informing students about the dangers of overconfidence on metacognitive judgments and conceptual learning were examined in two classroom studies. In the first study, the conceptual knowledge of operant conditioning and the confidence judgments of 287 graduate students enrolled in a teacher education…
Descriptors: Cooperative Learning, Self Esteem, Misconceptions, Metacognition
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Sladoljev-Agejev, Tamara; Kolic-Vehovec, Svjetlana – Reading and Writing: An Interdisciplinary Journal, 2022
Establishing relations between concepts and ideas is vital for university-level reading. However, students often understand expository text only superficially (Graesser, 2007), especially in the case of a second language (L2). Insufficiently developed linguistic competence, inadequate prior knowledge or weaker reading skills may all lead to a lack…
Descriptors: Undergraduate Students, Business Administration Education, Reading Strategies, Reading Comprehension
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