Measuring Changes In Motivation And Learning Strategies: Comparing Freshman To Other Undergraduates
Author(s) -
Todd E. Johnson
Publication year - 2020
Publication title -
2006 annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--273
Subject(s) - metacognition , mathematics education , psychology , peer learning , active learning (machine learning) , value (mathematics) , expectancy theory , reading (process) , task (project management) , cognition , computer science , social psychology , management , neuroscience , artificial intelligence , machine learning , political science , law , economics
The purpose of this study was to understand reported motivation and learning strategies for students enrolled in an introductory computer science course (n = 111). Comparisons were made between freshman (n = 57) and other undergraduates (n = 54) [sophomores (n = 24) and juniors (n = 30)]. A commonly used instrument called the Motivational Strategies for Learning Questionnaire (MSLQ) was used to assess motivations (value, expectancy, and affective) and learning strategies (cognitive/metacognitive and resource management strategies) of these students. Results showed variations in both motivation and learning strategies between the two groups with freshman reporting a greater task value in the course, while other undergraduates reported a greater reliance on peer learning and the use of rehearsal strategies. In comparison to other undergraduates, freshman also reported having a greater confidence in reading. While more research is needed at the classroom level to understand individual student differences, the MSLQ does appear to provide insight for caring faculty using a learner centered approach to teaching.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom