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Stover, Sheri; Ziswiler, Korrin – International Journal of Teaching and Learning in Higher Education, 2017
Colleges and universities are beginning to invest in active learning (AL) classrooms in an effort to replace the traditional lecture style pedagogy that is frequently used by many professors in higher education (Eagan et al., 2014). This is a quantitative research study conducted at a medium-sized Midwestern university. Students were given the…
Descriptors: Active Learning, Instructional Design, Teaching Methods, Qualitative Research
Mukorera, Sophia; Nyatanga, Phocenah – Alberta Journal of Educational Research, 2017
Students' attendance and engagement with teaching and learning practices is perceived as a critical element for academic performance. Even with stipulated attendance policies, students still choose not to engage. The study employed a principal component analysis to analyze first- and second-year students' perceptions of the importance of the 12…
Descriptors: Undergraduate Students, Student Attitudes, Educational Attitudes, Factor Analysis
Durham, Frank D.; Russell, Jae-Eun; Van Horne, Samuel – Journalism and Mass Communication Educator, 2018
This study investigated students' engagement and learning in a large lecture journalism history course based on a revision of its discussion curriculum. The new curriculum incorporated visual media and facilitated collaborative learning in active learning classrooms. Surveys were administered to assess students' perceptions of the course,…
Descriptors: Learner Engagement, Large Group Instruction, Lecture Method, Journalism Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection