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384
Applying Learning Factors Analysis to Build Stereotypic Student Models
"... Abstract. This paper demonstrates how stereotypic student groups can be created to enhance cognitive models in computer tutors. Computer tutors use cognitive models to track what skills students are learning and what practice attempts are most needed; often, these models contain relatively few indiv ..."
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individualized student parameters due to computational concerns. A hybrid approach emphasizing tractability and customization is used to balance the need for computable cognitive models and more flexibility to reflect learner characteristics. We use learning factors analysis to incorporate these learner
The stages of economic growth.
- Economic History Review , 2nd series 12,
, 1959
"... JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about J ..."
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Cited by 297 (0 self)
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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about
Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.
- Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
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Cited by 183 (19 self)
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intentions to drop out of high school, which are later implemented, leading to actual dropout behavior. This model was tested with high school students (N = 4,537) by means of a prospective design. Results from analyses of variance and a structural equation modeling analysis (with L1SREL) were found
Learning Factors Analysis Learns to Read
, 2007
"... opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation. Keywords: Learning Factors Analysis, Reading Transfer, Intelligent Tutoring Systems, Learning Factors Analysis (L ..."
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opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation. Keywords: Learning Factors Analysis, Reading Transfer, Intelligent Tutoring Systems, Learning Factors Analysis
Diagnosing and acting on student affect: the tutor's perspective.” User Modeling and User-Adapted Interaction
, 2008
"... Abstract. In this paper we explore human tutors ’ inferences in relation to learners ’ affec-tive states and the relationship between those inferences and the actions that tutors take as their consequence. At the core of our investigations presented in this paper lie fundamental questions associated ..."
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Cited by 30 (6 self)
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of student and tutor actions. Machine learning techniques were then applied to those actions to predict the values of the factors most relevant to tutor actions. Specifically, The results for the analysis of three factors related to student affect: student confidence, student interest and student effort
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory
- In Proc. 5th Intl. Conf. Educational Data Mining. Chania
, 2012
"... ABSTRACT We apply collaborative filtering (CF) to dichotomously scored student response data (right, wrong, or no interaction), finding optimal parameters for each student and item based on cross-validated prediction accuracy. The approach is naturally suited to comparing different models, both uni ..."
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Cited by 12 (0 self)
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ABSTRACT We apply collaborative filtering (CF) to dichotomously scored student response data (right, wrong, or no interaction), finding optimal parameters for each student and item based on cross-validated prediction accuracy. The approach is naturally suited to comparing different models, both
Sex stereotyping in children's toy advertisements. Sex Roles: A
- Journal of Research
, 1985
"... Abstract: Forty-eight categories of toys were rated in terms of sex appropriateness by 48 students. A sample of 392 pictures of children with toys in 12 toy catalogs and 538 pictures of children with toys on toy packages in four retail stores was coded according to toy type and sex(es) of children ..."
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Cited by 4 (0 self)
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-role socialization. These studies suggest that media models are important in the development of toy sex typing. However, there has been little study of the extent of sex typing in toy advertising. In content analysis of a few toy catalogs, Chafetz and her students (1974) concluded that boys in toy advertisements
likelihood and the role of models in molecular phylogenetics.
- Mol. Biol. Evol.
, 2000
"... Methods such as maximum parsimony (MP) are frequently criticized as being statistically unsound and not being based on any ''model.'' On the other hand, advocates of MP claim that maximum likelihood (ML) has some fundamental problems. Here, we explore the connection between the ..."
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Cited by 70 (11 self)
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] and Penny et al. [1996]). An unresolved issue is to what extent such inconsistency occurs with biological (as distinct from computer-simulated) sequence data. Suggested examples of tree-building inconsistency arising from the use of inappropriate analysis models include those of A further relevant factor
Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in
- Kenya.” American Economic Review
, 2011
"... To the extent that students benefit from high-achieving peers, tracking will help strong students and hurt weak ones. However, all students may benefit if tracking allows teachers to better tailor their instruction level. Lower-achieving pupils are particularly likely to benefit from tracking when ..."
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Cited by 76 (5 self)
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, Elizabeth Newton and Richard Romano, 2002). On the other hand, tracking could potentially allow teachers to more closely match instruction to students' needs, benefiting all students. This suggests that the impact of tracking may depend on teachers' incentives. We build a model nesting
Construction and abstraction: contrasting methods of supporting model building in learning science
"... Introduction Interactive Learning Systems can offer students a range of representations, tools, environments and assistance to construct a model which reflects their understanding of a situation which exists in the real world. They can also offer a range of possibilities for learners to improve the ..."
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of the students was to build a non-runnable descriptive model. This meant that they had to abstract away from the rich detail of the learning materials to "reveal" the bare bones of the underlying evolutionary processes. Learning support for 3 this activity was provided by the interactions
Results 1 - 10
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384
