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Leslie, Kimberley Crompton; Low, Renae; Jin, Putai; Sweller, John – Educational Technology Research and Development, 2012
Two experiments using the science topics of Magnetism and Light were conducted with younger learners (Year 5) who had no prior knowledge of the topics, and older learners (Year 6) who had studied the topics previously. Half of the learners were presented the information in auditory form only while the other half were presented the auditory…
Descriptors: Expertise, Prior Learning, Redundancy, Age Differences
Larseingue, Matt; Sawyer, Chris R.; Finn, Amber N. – Communication Education, 2012
Although previous research has linked students' expected grades to numerous pedagogical variables, this factor has been all but ignored by instructional communication scholars. In the present study, 315 undergraduates were presented with grading scenarios representing differing combinations of course rigor, teacher immediacy, and student…
Descriptors: Self Efficacy, Student Attitudes, Componential Analysis, Assignments
Li, Yongyan; Casanave, Christine Pearson – Journal of Second Language Writing, 2012
In this paper we report a case study of two first-year students at a university in Hong Kong doing the same writing assignment that required the use of sources. We explore the students' understanding of plagiarism, their strategies for composing, the similarity between their texts and source texts, and the lecturer's assessment of their work. The…
Descriptors: Writing Assignments, Introductory Courses, Plagiarism, Difficulty Level
Mensch, Scott – Journal of Instructional Pedagogies, 2010
When developing online classrooms it is necessary to ensure that all learners will be successful in the course regardless of the topic or discipline that is being discussed. This becomes especially important when the class involves numerical data. This paper outlines the difficulty of delivering online classes such as algebra, accounting, and…
Descriptors: Online Courses, Mathematics, Numbers, Computation
Seal, Kala Chand; Przasnyski, Zbigniew H.; Leon, Linda A. – Decision Sciences Journal of Innovative Education, 2010
Do students learn to model OR/MS problems better by using computer-based interactive tutorials and, if so, does increased interactivity in the tutorials lead to better learning? In order to determine the effect of different levels of interactivity on student learning, we used screen capture technology to design interactive support materials for…
Descriptors: Spreadsheets, Intelligent Tutoring Systems, Learning Processes, Interaction
Downton, Ann – Mathematics Education Research Group of Australasia, 2010
This paper reports on 13 Grade 3 students' approaches to "Equivalent groups" and "Times" as "many" multiplicative word problems. The findings are part of a larger study relating to children's development of multiplicative thinking. Of particular interest was the extent to which task level of difficulty influenced…
Descriptors: Mathematics Education, Learning Strategies, Foreign Countries, Word Problems (Mathematics)
Fu, Qiong – ProQuest LLC, 2010
This research investigated how the accuracy of person ability and item difficulty parameter estimation varied across five IRT models with respect to the presence of guessing, targeting, and varied combinations of sample sizes and test lengths. The data were simulated with 50 replications under each of the 18 combined conditions. Five IRT models…
Descriptors: Item Response Theory, Guessing (Tests), Accuracy, Computation
Plass, Jan L., Ed.; Moreno, Roxana, Ed.; Brünken, Roland, Ed. – Cambridge University Press, 2010
Cognitive load theory (CLT) is one of the most important theories in educational psychology, a highly effective guide for the design of multimedia and other learning materials. This edited volume brings together the most prolific researchers from around the world who study various aspects of cognitive load to discuss its current theoretical as…
Descriptors: Cognitive Processes, Difficulty Level, Theories, Schemata (Cognition)
Marvin, Christine A.; Patterson, Norma J. – Online Submission, 2010
Comparisons were made between instructor and student contributions in an online course that engaged eight graduate students asynchronously in discussion of early intervention principles and practices. Discourse patterns and levels of cognitive complexity were analyzed as indices of engagement and "critical thinking". The online…
Descriptors: Online Courses, Graduate Students, Computer Mediated Communication, Discussion
Miller, Tess; Chahine, Saad; Childs, Ruth A. – Practical Assessment, Research & Evaluation, 2010
This study illustrates the use of differential item functioning (DIF) and differential step functioning (DSF) analyses to detect differences in item difficulty that are related to experiences of examinees, such as their teachers' instructional practices, that are relevant to the knowledge, skill, or ability the test is intended to measure. This…
Descriptors: Test Bias, Difficulty Level, Test Items, Mathematics Tests
Kool, Wouter; McGuire, Joseph T.; Rosen, Zev B.; Botvinick, Matthew M. – Journal of Experimental Psychology: General, 2010
Behavioral and economic theories have long maintained that actions are chosen so as to minimize demands for exertion or work, a principle sometimes referred to as the "law of less work". The data supporting this idea pertain almost entirely to demands for physical effort. However, the same minimization principle has often been assumed also to…
Descriptors: Decision Making, Selection, Cognitive Processes, Difficulty Level
Wang, Wen-Chung; Jin, Kuan-Yu – Applied Psychological Measurement, 2010
In this study, all the advantages of slope parameters, random weights, and latent regression are acknowledged when dealing with component and composite items by adding slope parameters and random weights into the standard item response model with internal restrictions on item difficulty and formulating this new model within a multilevel framework…
Descriptors: Test Items, Difficulty Level, Regression (Statistics), Generalization
Gulacar, Ozcan; Fynewever, Herb – International Journal of Science Education, 2010
We present a quantitative model for predicting the level of difficulty subjects will experience with specific problems. The model explicitly accounts for the number of subproblems a problem can be broken into and the difficultly of each subproblem. Although the model builds on previously published models, it is uniquely suited for blending with…
Descriptors: Stoichiometry, Protocol Analysis, Difficulty Level, Problem Solving
Redford, Joshua S. – Psychological Record, 2010
Recently, Redford (2010) found that monkeys seemed to exert metacognitive control in a category-learning paradigm. Specifically, they selected more trials to view as the difficulty of the category-learning task increased. However, category-learning difficulty was determined by manipulating the family resemblance across the to-be-learned exemplars.…
Descriptors: Learning Problems, Animals, Metacognition, Perceptual Development
Benjamin, Rebekah George; Schwanenflugel, Paula J. – Reading Research Quarterly, 2010
The purpose of the study was to examine the impact of text difficulty on the oral reading prosody of young children. Fluency in reading is ideally determined by measuring rate, accuracy, and prosodic qualities in the oral reading of children. Spectrographic measurements of four prosodic variables--sentence-final F[subscript 0] change, intonation…
Descriptors: Reading Comprehension, Intonation, Reading Fluency, Difficulty Level

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