Abstract:
The purposes of this study were: 1) to develop a model of Resource-Based Learning todevelopnumerical analysis, communication and information technology skillsfor undergraduate students, 2) to evaluate the Resource-Based Learning Model to developnumerical analysis, communication and information technology skills for undergraduate students, and 3) to examine the outcomes of the study through Resource-Based Learning Model to developnumerical analysis, communication and information technology skills for undergraduate students. The total of 30 undergraduate students who registered the course 01999211 (Mathematics and Computer in Everyday Life), second semester of 2013 academic year.The respondents were selected by cluster random sampling and arranged into one classroom. Data were analyzed and presented through mean, standard deviation, and t-test.
The results revealed that:
1. The developed Resource-BasedLearning Modelto developnumerical analysis, communication and information technology skills for undergraduate students consisted 4components :
1.1 The need factors to learn, including purposes of the study, students, teachers, contents, learning resources and communication tools;
1.2 Resource-Based Learning process (LADDER Learning) which comprises 1) Launch, 2) Access, 3) Develop, 4) Demonstrate, 5) Evaluate, and 6) Reflect;
1.3 The assessment of skills needed to develop, including numerical analysis skill, communication skill and information technology skill; and
1.4 The skills evaluation and feedback
2. The experts evaluation on the appropriate of the Resource-BasedLearning Model for improving numerical analysis, communication and information technology skills,was at high level.
3. The examine the outcomes of the study through Resource-Based Learning model to develop numerical analysis, communication and information technology skills for undergraduate students consisted of:
3.1 A comparison between the numerical analysis skill of students who studied through Resource-Based Learning and a criterion of 80 percent of total scores showed that an average score of students on the test of numerical analysis skill was lower than 80 percent.
3.2 A comparison between the communication skill of students who studied through Resource-Based Learning and a criterion of 80 percent of total scores showed that an average score of students on the communication-skill test was higher than the 80 percent criterion at 0.05 level of significance.
3.3 A comparison between the information technology skills of students who studied through Resource-Based Learning and a criterion of 80 percent of total scores showed that an average score of students on the test of information technology skills was higher than the 80 percent criterion at 0.05. level of significance.