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Griffiths, Oren; Erlinger, May; Beesley, Tom; Le Pelley, Mike E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Within the domain of associative learning, there is substantial evidence that people (and other animals) select among environmental cues on the basis of their reinforcement history. Specifically, people preferentially attend to, and learn about, cueing stimuli that have previously predicted events of consequence (a predictiveness bias). By…
Descriptors: Associative Learning, Prediction, Bias, Cues
Zhao, Siyuan; Heffernan, Neil – International Educational Data Mining Society, 2017
Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student. Making the inference about causal effects of studies interventions is a central problem. In this paper we propose the Residual Counterfactual Networks (RCN) for answering counterfactual inference questions, such as…
Descriptors: Computation, Outcomes of Treatment, Networks, Randomized Controlled Trials
Olivares-Rodríguez, Cristian; Guenaga, Mariluz – International Educational Data Mining Society, 2015
Creativity is a relevant skill for human beings in order to overcome complex problems and reach novel solutions based on unexpected associations of concepts. Thus, the education of creativity becomes relevant, but there are not tools to automatically track the creative potential of learners over time. This work provides a novel set of behavioural…
Descriptors: Creativity, Associative Learning, Accuracy, Classification
Chuderski, Adam; Jastrzebski, Jan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The "nothing-special" account of insight predicts positive correlations of insight problem solving and working memory capacity (WMC), whereas the "special-process" account expects no, or even negative, correlations. In the latter vein, DeCaro, Van Stockum Jr., and Wieth (2016) have recently reported weak negative WMC…
Descriptors: Short Term Memory, Intuition, Correlation, Problem Solving
DeCaro, Marci S.; Van Stockum, Charles A., Jr.; Wieth, Mareike B. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Higher working memory capacity (WMC) improves performance on a range of cognitive and academic tasks. However, a greater ability to control attention sometimes leads individuals with higher WMC to persist in using complex, attention-demanding approaches that are suboptimal for a given task. We examined whether higher WMC would hinder insight…
Descriptors: Short Term Memory, Cognitive Ability, Attention Control, Intuition
Luo, Jingyi; Sorour, Shaymaa E.; Goda, Kazumasa; Mine, Tsunenori – International Educational Data Mining Society, 2015
Continuously tracking students during a whole semester plays a vital role to enable a teacher to grasp their learning situation, attitude and motivation. It also helps to give correct assessment and useful feedback to them. To this end, we ask students to write their comments just after each lesson, because student comments reflect their learning…
Descriptors: Grades (Scholastic), Prediction, Feedback (Response), Student Attitudes
Billings, Esther M. H.; Kasmer, Lisa – Mathematics Teacher Education and Development, 2015
This study used design experiments, specifically micro-cycle teaching experiments (MTE) as a catalyst for practice-based professional development. The MTE incorporated research-based characteristics of effective professional development: it was embedded in the teachers' daily work of planning and enacting lessons, co-constructed with the…
Descriptors: Microteaching, Educational Experiments, Professional Development, Teacher Improvement
Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui – International Educational Data Mining Society, 2015
Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…
Descriptors: Comparative Analysis, Classification, Regression (Statistics), Mathematics
Chien, Yu-Hung – EURASIA Journal of Mathematics, Science & Technology Education, 2017
This study developed an integrated-STEM CO[subscript 2] dragster design course using 3D printing technology. After developing a pre-engineering curriculum, we conducted a teaching experiment to assess students' differences in creativity, race forecast accuracy, and learning performance. We compared student performance in both 3D printing and…
Descriptors: Foreign Countries, High School Students, Grade 10, Engineering Education
Smith, Marlene A.; Kellogg, Deborah L. – Decision Sciences Journal of Innovative Education, 2015
This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…
Descriptors: Group Activities, Assignments, Cooperative Learning, Individual Activities
Dompnier, Benoît; Darnon, Céline; Meier, Emanuele; Brandner, Catherine; Smeding, Annique; Butera, Fabrizio – American Educational Research Journal, 2015
Recent research has shown that, in a university context, mastery goals are highly valued and that students may endorse these goals either because they believe in their utility (i.e., social utility), in which case mastery goals are positively linked to achievement, or to create a positive image of themselves (i.e., social desirability), in which…
Descriptors: Low Achievement, Mastery Learning, Goal Orientation, College Students
Siegler, Robert S.; Lortie-Forgues, Hugues – Journal of Educational Psychology, 2015
Understanding an arithmetic operation implies, at minimum, knowing the direction of effects that the operation produces. However, many children and adults, even those who execute arithmetic procedures correctly, may lack this knowledge on some operations and types of numbers. To test this hypothesis, we presented preservice teachers (Study 1),…
Descriptors: Arithmetic, Mathematics Education, Knowledge Level, Hypothesis Testing
Roessger, Kevin M. – ProQuest LLC, 2013
In work-related, instrumental learning contexts the role of reflective activities is unclear. Kolb's (1985) experiential learning theory and Mezirow's transformative learning theory (2000) predict skill-adaptation as a possible outcome. This prediction was experimentally explored by manipulating reflective activities and assessing participants'…
Descriptors: Workplace Learning, Skill Development, Reflection, Experiential Learning
Reeve, Johnmarshall – Journal of Educational Psychology, 2013
The present study introduced "agentic engagement" as a newly proposed student-initiated pathway to greater achievement and greater motivational support. Study 1 developed the brief, construct-congruent, and psychometrically strong Agentic Engagement Scale. Study 2 provided evidence for the scale's construct and predictive validity, as…
Descriptors: Learner Engagement, Learning Motivation, Student Motivation, Academic Achievement
Pattanasri, N.; Mukunoki, M.; Minoh, M. – IEEE Transactions on Learning Technologies, 2012
Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide…
Descriptors: Foreign Countries, Comprehension, Visual Aids, Prediction
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