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Leinonen, Risto; Asikainen, Mervi A.; Hirvonen, Pekka E. – Physical Review Physics Education Research, 2017
This study analyzes the types of peer discussion that occur during lecture-based tutorial sessions. It focuses in particular on whether discussions of this kind have certain characteristics that might indicate success in the post-testing phase. The data were collected during an introductory physics course. The main data set was gathered with the…
Descriptors: Physics, Introductory Courses, Lecture Method, Tutorial Programs
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Lindell, Juha – Tertiary Education and Management, 2014
Universities in Europe face a variety of reform initiatives, and university reform can be seen as a wicked problem that should be resolved through collaborative efforts. In Finland, there has been considerable resistance to proposed reforms, with university personnel complaining that they have not been heard. Students, on the other hand, seem…
Descriptors: Foreign Countries, Organizational Change, Universities, Participative Decision Making
Marttunen, Miika; Laurinen, Leena – 1999
In a teaching experiment, 16 face-to-face and 11 e-mail Finnish university students engaged in an argumentation course. The 19 students of the control group did not study argumentation. The course involved two lectures, exercises with argumentative texts, and face-to-face or e-mail seminar discussions based on these texts. The topics of the texts…
Descriptors: Computer Assisted Instruction, Debate, Discussion (Teaching Technique), Distance 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