The Triarchic Theory of Intelligence and Computer-Based Inquiry Learning

نویسندگان

  • Bruce C. Howard
  • Steven McGee
  • Namsoo Shin
  • Regina Shia
چکیده

Sternberg’s (1985) triarchic theory of human intelligence distinguished among three types of intellectual abilities: analytic, creative, and practical. Our study explored the relationships between student abilities and the cognitive and attitudinal outcomes that resulted from student immersion in a computer-based inquiry environment. In particular, we examined outcome variables related to content understanding, problem solving, and science-related attitudes. Results indicated that more practical abilities predicted greater content understanding and transfer of problem-solving skills. High analytic abilities were predictive of content understanding but not transfer of problem-solving skills. High creative abilities predicted problem solving, but were not predictive of performance on content understanding. In terms of science-related attitudes, students who were dominant in practical abilities had significantly more positive posttest attitudes than those dominant in analytic abilities. The results from this study were used to make recommendations regarding design principles used in the subsequent development of computer-based inquiry environments. In this study, we sought to examine the triarchic theory of intelligence (Sternberg, 1985, 1996, 1997) in the context of a computer-based inquiry learning environment. Sternberg’s theory describes three types of intellectual abilities: analytic, creative, and practical. According to Sternberg, these abilities are interdependent constructs, and every student demonstrates a distinct blend of strengths in one, two, or all three triarchic ability categories.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using WebQuest in Medical Education

Introduction: Today modern teaching and learning approaches in medical education have received considerable attention. This paper aims to introduce WebQuest as a new method of inquiry-based learning through the use of Internet. Also its application in medical sciences education in general, and especially nursing education is explained. Methods: To find articles related to the WebQuest topic, t...

متن کامل

Information seeking in inquiry-based learning pedagogy: Proposing a preliminary model

Background and Aim: This study attempts to propose a suggestive model for theorising in the field of Inquiry-Based Information Behaviour (IBiB). Method: To achieve the research aim, Piaget’s Cognitive Development Theory, Dewey’s Constructivist Theory, as well as IBL Pedagogy were analysed. Taking into account the current information behaviour models and theories which are developed based on th...

متن کامل

Intelligence: Triarchic Theory of Intelligence

The triarchic theory of intelligence is based on a broader definition of intelligence than is typically used. In this theory, intelligence is defined in terms of the ability to achieve success in life based on one's personal standards and within one's sociocultural context. The ability to achieve success depends on the ability to capitalize on one's strengths and to correct or compensate for on...

متن کامل

Perceptual Learning Style Preferences and Computer-Assisted Writing Achievement within the Activity Theory Framework

Learning styles are considered among the significant factors that aid instructors in deciding how well their students learn a second or foreign language (Oxford, 2003). Although this issue has been accepted broadly in educational psychology,further research is required to examine the relationship between learning styles and language learning skills. Thus, the present study was carried out to in...

متن کامل

Designing stable neural identifier based on Lyapunov method

The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) and studies the stability of this algorithm. Also, stable learning algorithm for parameters of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002