Author :
Riojas, Mario ; Lysecky, Susan ; Rozenblit, Jerzy
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA
Abstract :
Numerous efforts seek to increase awareness, interest, and participation in scientific and technological fields at the precollege level. Studies have shown these students are at a critical age where exposure to engineering and other related fields such as science, mathematics, and technology greatly impact their career goals. A variety of advanced learning technologies have emerged to enhance learning, promote hands-on experiences, and increase interest in engineering. However, creating and sustaining technology-infused learning environments at the precollege level is a challenging task, as many schools have limited resources and expertise. Moreover, while numerous technology solutions are available to support ambitious engineering-learning goals, choosing the right technology to align to program goals and resources may be a daunting task. In this work, we fill the gap between the applicability of educational implements and suitable teaching methods for precollege engineering. We present an overview of available hardware- and software-based technologies, and characterize these technologies based on criteria such as median price, the type of learning activities fostered, and the required users´ expertise levels. In addition, we outline how these technologies align with deductive and inductive teaching methods that emphasize direct-instruction, inquiry-, problem-, and project-based methods, as studies have shown these methods are effective for precollege engineering education.
Keywords :
computer aided instruction; engineering education; teaching; deductive teaching method; direct-instruction method; educational technology; engineering field; engineering-learning goal; hardware-based technology; inductive teaching method; inquiry-based method; learning activities criteria; learning technology; mathematics field; median price criteria; precollege engineering education; precollege level; problem-based method; project-based method; science field; software-based technology; technology field; technology-infused learning environment; user expertise criteria; Engineering education; Engineering profession; Optimization; Robots; Taxonomy; Educational technologies; Engineering education; Engineering profession; Optimization; Robots; Taxonomy; computer aided instruction; deductive teaching method; direct-instruction method; educational technology; engineering education; engineering field; engineering-learning goal; hardware-based technology; human-centered computing; inductive teaching method; inquiry-based method; interactive environments; learning activities criteria; learning technologies; learning technology; mathematics field; median price criteria; precollege engineering education; precollege level; problem-based method; project-based method; robotics.; science field; software-based technology; teaching; technology field; technology-infused learning environment; user expertise criteria;