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Aßfalg, André; Klauer, Karl Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
We consider the proposition that reasoners represent causal conditionals such as "if John studies hard, he will do well in the test" as a causal model in which the antecedent ("John studies hard") is a potential cause of the consequent ("John does well in the test"). Some studies suggest that reasoners ignore…
Descriptors: Logical Thinking, Causal Models, Evaluative Thinking, Probability
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Fröber, Kerstin; Jurczyk, Vanessa; Dreisbach, Gesine – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Frequent forced switching between tasks has been shown to reduce switch costs and increase voluntary switch rates. So far, however, the boundary conditions of the influence of forced task switching on voluntary task switching are unknown. Thus, the present study was aimed to test different aspects of generalizability (across items, tasks, and…
Descriptors: Cognitive Ability, Attention Control, Task Analysis, Generalization
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Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
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Herber, Stefanie P.; Kalinowski, Michael – Education Economics, 2019
We estimate the percentage of eligible students who do not take up their federal need-based student financial aid entitlements in a microsimulation model for the German Socio-Economic Panel Study 2002--2013. We find that about 40% of the eligible low-income students do not take up their entitlements. Non-take-up is inversely and rather…
Descriptors: Foreign Countries, Student Financial Aid, Low Income, Eligibility
Voß, Lydia; Schatten, Carlotta; Mazziotti, Claudia; Schmidt-Thieme, Lars – International Educational Data Mining Society, 2015
Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…
Descriptors: Transfer of Training, Intelligent Tutoring Systems, Statistics, Probability
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Unay Gailhard, Ilkay; Bavorová, Miroslava; Pirscher, Frauke – Journal of Agricultural Education and Extension, 2015
Purpose: The purpose of this study is to investigate the impact of interpersonal communication on the adoption of agri-environmental measures (AEM) by organic farmers in Germany. Methodology: The study used the logit model to predict the probability of adoption behaviour, and Social Network Analysis (SNA) was conducted to analyse the question of…
Descriptors: Agricultural Occupations, Interpersonal Communication, Foreign Countries, Prediction
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Stoessel, Katharina; Ihme, Toni A.; Barbarino, Maria-Luisa; Fisseler, Björn; Stürmer, Stefan – Research in Higher Education, 2015
Current higher education is characterized by a proliferation of distance education programs and by an increasing inclusion of nontraditional students. In this study we investigated whether and to what extent nontraditional students are particularly at risk for attrition (vs. graduating) from distance education programs. We conducted a secondary…
Descriptors: Foreign Countries, Higher Education, Distance Education, Nontraditional Students
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Dimigen, Olaf; Sommer, Werner; Hohlfeld, Annette; Jacobs, Arthur M.; Kliegl, Reinhold – Journal of Experimental Psychology: General, 2011
Brain-electric correlates of reading have traditionally been studied with word-by-word presentation, a condition that eliminates important aspects of the normal reading process and precludes direct comparisons between neural activity and oculomotor behavior. In the present study, we investigated effects of word predictability on eye movements (EM)…
Descriptors: Video Technology, Sentences, Reading, Eye Movements
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers