Teaching Research Methods in an Internet-Based Blended-Learning Setting: Vienna E-Lecturing (VEL)

This article gives a survey of a blended learning approach called Vienna E-Lecturing (VEL), implemented in the course Research Methods and Evaluation, which is required by the psychology program at the University of Vienna, Austria. VEL replaces a main lecture and has been designed to teach methodological issues more effectively as well as to strengthen students' learning competences in this field. The program's conceptualization is based on instructional and motivational findings yielding the program's two main teaching principles: (1) networking and (2) optimal instructions. The Internet-based course lasts two semesters and is composed of 10 online learning modules and 11 face-to-face meetings (including tutorials). The modules, which are available successively via a learning platform, systematically instruct students to learn more effectively by cooperating and fulfilling different tasks within small groups. The current article describes the program's principles and theoretical background and outlines ...

[1]  Anthony J. Onwuegbuzie,et al.  Statistics Anxiety and the Role of Self-Perceptions , 2000 .

[2]  H. Blalock.  SOME GENERAL GOALS IN TEACHING STATISTICS , 1987 .

[3]  M. Zeidner,et al.  Statistics and mathematics anxiety in social science students: some interesting parallels. , 1991, The British journal of educational psychology.

[4]  P. Pintrich,et al.  Motivation in Education: Theory, Research, and Applications , 1995 .

[5]  N. Purdie,et al.  Effects of Learning Skills Interventions on Student Learning: A Meta-Analysis , 1996 .

[6]  Anthony J. Onwuegbuzie,et al.  Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature , 2003 .

[7]  Anthony J. Onwuegbuzie,et al.  Academic procrastination and statistics anxiety , 2004 .

[8]  D. Roberts,et al.  Validity of a Statistics Attitude Survey: A Follow-Up Study , 1982 .

[9]  Sherrie L. Nist,et al.  College Academic Assistance Programs and Practices , 1997 .

[10]  M. Boekaerts,et al.  Bringing about Change in the Classroom: Strengths and Weaknesses of the Self-Regulated Learning Approach. EARLI Presidential Address, 2001. , 2002 .

[11]  B. Zimmerman.  Attaining self-regulation: A social cognitive perspective. , 2000 .

[12]  Robert M. Gagné,et al.  The Conditions of Learning and Theory of Instruction , 1985 .

[13]  Iddo Gal,et al.  The Role of Beliefs and Attitudes in Learning Statistics: Towards an Assessment Framework , 1994 .

[14]  Keith J. Topping,et al.  Peer Assisted Learning , 2001 .

[15]  Edward L. Deci,et al.  Die Selbstbestimmungstheorie der Motivation und ihre Bedeutung für die Pädagogik , 1993 .

[16]  Steven P. Schacht,et al.  What's Funny about Statistics? A Technique for Reducing Student Anxiety. , 1990 .

[17]  Paul A. Schutz,et al.  Prior knowledge, attitude, and strategy use in an introduction to statistics course , 1998 .

[18]  K. J. Klauer.  Framework for a Theory of Teaching. , 1985 .

[19]  Menucha Birenbaum,et al.  Who is afraid of statistics? Correlates of statistics anxiety among students of educational sciences , 1994 .

[20]  A. Fink.  Evaluation for Education and Psychology , 1995 .

[21]  Beverly Dolinsky,et al.  An Active Learning Approach to Teaching Statistics. , 2001 .

[22]  Dana S. Dunn.  Collaborative Writing in a Statistics and Research Methods Course , 1996 .

[23]  Nyaradzo Mvududu,et al.  A Cross-Cultural Study of the Connection between Students' Attitudes toward Statistics and the Use of Constructivist Strategies in the Course , 2003 .

[24]  Anthony J. Onwuegbuzie,et al.  Modeling Statistics Achievement among Graduate Students , 2003 .