this study aimed to compare some of the most important metacognitive belifes and thought control strategies among students with normal and pathological worry.the sample consisted of 146 undergratuate students selected by multiple clustering method.all subjects were asked to complete metacognitive belifes questionaire ( mcq(, penn state worry questionaure(pswq) and thought control strategies ( t...

objective: the present study aimed to investigate the metacognitive model of obsessive-compulsive disorder (ocd), through a comparative study of thought fusion beliefs and thought control strategies between patients with ocd, depression, and normal people. methods: this is a causal-comparative study. about 20 patients were selected with ocd, and 20 patients with major depression disorder (mdd),...

Research shows that expert-crafted worked examples can have a positive effect on student performance. To investigate the potential for data-driven worked examples to achieve similar results, we generated worked examples for the Deep Thought logic tutor, and conducted an experiment to assess their impact on performance. Students who received data-driven worked examples were much more likely to c...

We have augmented the Deep Thought logic tutor with a Hint Factory that generates data-driven, context-specific hints for an existing computer aided instructional tool. We investigate the impact of the Hint Factory’s automatically generated hints on educational outcomes in a switching replications experiment that shows that hints help students persist in a deductive logic proofs tutor. Three in...

intolerance of uncertainty (iu) is increasingly conceptualized as a transdiagnostic factor underlying anxiety disorders and depression. current understanding of the relationship between intolerance of uncertainty and specific obsessive compulsive symptom domains remains limited. the purpose of the present study was to explore the prevalence of obsessive compulsive beliefs and intolerance of unc...

Effects such as student dropout and the non-normal distribution of duration data confound the exploration of tutor efficiency, time-intutor vs. tutor performance, in intelligent tutors. We use an accelerated failure time (AFT) model to analyze the effects of using automatically generated hints in Deep Thought, a propositional logic tutor. AFT is a branch of survival analysis, a statistical tech...