Good Learning Habits Research Articles

FUDAOWANG

Determining how to provide good tutoring functions is an important research direction of intelligent tutoring systems. In this study, the authors develop an intelligent tutoring system with good tutoring functions, called “FUDAOWANG.” The research domain that FUDAOWANG treats is junior middle school mathematics, which belongs to the objective mature domain. Its characteristic is that the knowledge employed is the mature knowledge accepted by most people. FUDAOWANG uses automatic reasoning technology about objective mature problems to realize its intelligence. Based on the results of the automatic reasoning, FUDAOWANG synthetically applies the problem-based tutoring and advanced education concepts to achieve the tutoring functions of stepwise prompt, detailed answers, rethinking after solution, consolidated exercise, etc. The evaluation of FUDAOWANG shows that it is helpful to students in improving learning achievements and cultivating good learning habits.

Assessing collaborative learning

This paper is informed by one clear guiding principle: collaborative learning provides the platform on which independent learning is nurtured. The nature of collaborative learning in musicology as well as performance is considered. The focus is on learning rather than achievement, on process rather than presentation, on how students are encouraged to develop good learning habits. It will be argued that the assessment of a group endeavour needs to be integral to rather than detached from the learning. The centrality of the group endeavour in the learning environment does not diminish the role of the individual. The integrity of an individual's contribution to a group endeavour is validated by the group.

A Grading Method That Promotes Competency and Values Broadly Talented Students*

AbstractThis paper reports the results of a recent experiment in student performance evaluation. A criterion‐referenced, rather than the typical norm‐referenced scheme, was supplemented with a reward system designed to value students with a diverse set of academic talents. For example, the ability to solve “traditional looking” engineering analysis problems and the ability to thoroughly explain how phenomena occur (independent of the ability to work to a final “answer”) were equally valued. Value was measured by the course grade. The goals of the experiment were: (1) to ensure that all students who succeeded in the class possessed a baseline competence in the subject matter; (2) to value (in the form of high grades) a diverse set of talents; and (3) to encourage students to develop good learning habits. The experiment was implemented by teaching a sophomore core engineering course with a team of two faculty members and two graduate teaching assistants handling 187 students. One faculty member was responsible for the classroom teaching activities while the other focused exclusively on developing and implementing the evaluation instruments. The instruments consisted of four types of examinations, each designed for a specific purpose and administered at distinct times during the semester. Quantitative results, including associated statistical analyses, are given. We conclude that it is possible to establish criterion‐referenced schemes that value student skill diversity while encouraging good study and learning habits. The assessment instruments, however, are psychologically stressful to many students who are unaccustomed to them.