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Moeller, Julia; Viljaranta, Jaana; Kracke, Bärbel; Dietrich, Julia – Frontline Learning Research, 2020
This article proposes a study design developed to disentangle the objective characteristics of a learning situation from individuals' subjective perceptions of that situation. The term objective characteristics refers to the agreement across students, whereas subjective perceptions refers to inter-individual heterogeneity. We describe a novel…
Descriptors: Student Attitudes, College Students, Lecture Method, Student Interests
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Wilson, LeVon E.; Sipe, Stephanie R. – Journal of Legal Studies Education, 2014
The purpose of this study was to determine whether an active learning classroom environment is more effective in teaching university students certain concepts of business law than the traditional lecture environment. To generate data to answer this question, over a seven-semester period beginning in fall semester 2005, six classes of Legal…
Descriptors: Comparative Analysis, Active Learning, Cognitive Style, Conventional Instruction
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Cetintas, Suleyman; Si, Luo; Aagard, Hans Peter; Bowen, Kyle; Cordova-Sanchez, Mariheida – IEEE Transactions on Learning Technologies, 2011
Microblogging is a popular technology in social networking applications that lets users publish online short text messages (e.g., less than 200 characters) in real time via the web, SMS, instant messaging clients, etc. Microblogging can be an effective tool in the classroom and has lately gained notable interest from the education community. This…
Descriptors: Information Retrieval, Accuracy, Synchronous Communication, Classification
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Fata-Hartley, Cori – Journal of College Science Teaching, 2011
Many college science educators have moved away from the traditional lecture format and toward learner-centered classroom environments. Yet many of us struggle to cover large content loads, reverting at times to rote memorization. This paper suggests rote memorization simply does not work and students must be actively engaged to learn. (Contains 1…
Descriptors: College Science, Active Learning, Memorization, Lecture Method
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Kappe, F. R.; Boekholt, L.; den Rooyen, C.; Van der Flier, H. – Learning and Individual Differences, 2009
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four LSQ dimensions, namely, Activists, Theorists,…
Descriptors: Cognitive Style, Academic Achievement, Predictive Validity, Criteria
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Gravenhorst, Robynne M. – Journal of Dance Education, 2007
This study examines the interaction between learning styles and academic performance in an anatomy course that blends traditional lecture with an array of hands-on activities. Participants were 19 students (ranging from 18 to 24 years of age) at Columbia College, Chicago. The Felder-Silverman Index of Learning Styles and a 25-item pre-test and…
Descriptors: College Students, Academic Achievement, Anatomy, Correlation
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Mano, Haim – Multivariate Behavioral Research, 1991
Structure and intensity of naturally occurring and induced affect were studied with 244 university students and 1 employee in 2 studies using 2 methodological paradigms (dimensionality and classification) and 2 everyday contexts (lecture and television advertising). A circular structure of feeling was experienced during the lecture (naturally…
Descriptors: Adults, Advertising, Affective Behavior, Classification