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Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
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Janacsek, Karolina; Fiser, Jozsef; Nemeth, Dezso – Developmental Science, 2012
Implicit skill learning underlies obtaining not only motor, but also cognitive and social skills through the life of an individual. Yet, the ontogenetic changes in humans' implicit learning abilities have not yet been characterized, and, thus, their role in acquiring new knowledge efficiently during development is unknown. We investigated such…
Descriptors: Skill Development, Sequential Learning, Age Differences, Reaction Time
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Soto, Amanda C.; Taylor, Melinda A. – Pearson Education, Inc., 2013
Learning progressions represent a set of skills or pieces of knowledge ordered sequentially from least to most complex. This sequence can guide instruction as well as assessment content. This paper describes several useful methods for validating learning progressions including validating the relationship between the progression and student…
Descriptors: Learning Processes, Sequential Learning, Validity, Mastery Learning
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Stephens, Ana; Fonger, Nicole L.; Blanton, Maria; Knuth, Eric – Grantee Submission, 2016
In this paper, we describe our learning progressions approach to early algebra research that involves the coordination of a curricular framework, an instructional sequence, written assessments, and levels of sophistication describing the development of students' thinking. We focus in particular on what we have learning through this approach about…
Descriptors: Elementary School Students, Elementary School Mathematics, Mathematics Instruction, Learning Processes
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Sullivan, Florence R.; Heffernan, John – Journal of Research on Technology in Education, 2016
This article presents a systematic review of research related to the use of robotics construction kits (RCKs) in P-12 learning in the STEM disciplines for typically developing children. The purpose of this review is to configure primarily qualitative and mixed methods findings from studies meeting our selection and quality criterion to answer the…
Descriptors: Robotics, Manipulative Materials, STEM Education, Elementary Secondary Education
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Jimenez, Luis; Vazquez, Gustavo A. – Journal of Experimental Psychology: Human Perception and Performance, 2011
Sequence learning and contextual cueing explore different forms of implicit learning, arising from practice with a structured serial task, or with a search task with informative contexts. We assess whether these two learning effects arise simultaneously when both remain implicit. Experiments 1 and 2 confirm that a cueing effect can be observed…
Descriptors: Memory, Cues, Experiments, Attention
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Gabriel, Audrey; Stefaniak, Nicolas; Maillart, Christelle; Schmitz, Xavier; Meulemans, Thierry – American Journal of Speech-Language Pathology, 2012
Purpose: According to the "procedural deficit hypothesis" (PDH), difficulties in the procedural learning (PL) system may contribute to the language difficulties observed in children with specific language impairment (SLI). Method: Fifteen children with SLI and their typically developing (TD) peers were compared on visual PL…
Descriptors: Language Impairments, Visual Learning, Reaction Time, Sequential Learning
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Staels, Eva; Van den Broeck, Wim – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
This article reports on 2 studies that attempted to replicate the findings of a study by Szmalec, Loncke, Page, and Duyck (2011) on Hebb repetition learning in dyslexic individuals, from which these authors concluded that dyslexics suffer from a deficit in long-term learning of serial order information. In 2 experiments, 1 on adolescents (N = 59)…
Descriptors: Dyslexia, Repetition, Sequential Learning, Neurological Impairments
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Cela-Ranilla, Jose Maria; Gisbert, Merce; de Oliveira, Janaina Minelli – Educational Research and Evaluation, 2011
Providing information about how 1st-year students learn may help colleges plan actions aimed at increasing students' persistence in higher education programs. This research aims to assess 1st-year students' academic performance, using a path analysis to establish inter-correlations among students' personality traits, learning patterns, high school…
Descriptors: Personality Traits, Academic Achievement, Personality, Path Analysis
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Shafto, Carissa L.; Conway, Christopher M.; Field, Suzanne L.; Houston, Derek M. – Infancy, 2012
Research suggests that nonlinguistic sequence learning abilities are an important contributor to language development (Conway, Bauernschmidt, Huang, & Pisoni, 2010). The current study investigated visual sequence learning (VSL) as a possible predictor of vocabulary development in infants. Fifty-eight 8.5-month-old infants were presented with a…
Descriptors: Infant Behavior, Language Research, Language Skills, Language Acquisition
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Weiermann, Brigitte; Meier, Beat – Cognition, 2012
The purpose of the present study was to investigate incidental sequence learning across the lifespan. We tested 50 children (aged 7-16), 50 young adults (aged 20-30), and 50 older adults (aged >65) with a sequence learning paradigm that involved both a task and a response sequence. After several blocks of practice, all age groups slowed down…
Descriptors: Evidence, Older Adults, Young Adults, Learning Processes
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Sztajn, Paola; Wilson, P. Holt; Edgington, Cyndi; Confrey, Jere – North American Chapter of the International Group for the Psychology of Mathematics Education, 2011
As learning trajectories gain traction in mathematics education, we seek to understand the ways in which teachers may use them in interactions with students. This paper reports on one group of elementary teachers' use of their emerging knowledge of a learning trajectory to examine key pedagogical practices. Findings suggest that a learning…
Descriptors: Mathematics Instruction, Teaching Methods, Elementary School Teachers, Learning Processes
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Remillard, Gilbert – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
Learning the structure of a sequence of target locations when target location is not the response dimension and the sequence of target locations is uncorrelated with the sequence of responses is called pure perceptual-based sequence learning. The paradigm introduced by G. Remillard (2003) was used to determine whether orienting of visuospatial…
Descriptors: Sequential Learning, Role, Attention, Visual Perception
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French, Robert M.; Addyman, Caspar; Mareschal, Denis – Psychological Review, 2011
Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…
Descriptors: Infants, Probability, Learning Processes, Pattern Recognition
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