Technologies for Learning and Transfer: Learning Frameworks and Technology Design for Career and Technical Education

Technologies for Learning and Transfer: Learning Frameworks and Technology Design for Career and Technical Education

Doo Hun Lim (University of Oklahoma, USA), Seung Won Yoon (Western Illinois University, USA) and Sunyoung Park (University of Minnesota, USA)
DOI: 10.4018/978-1-60566-739-3.ch007
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Abstract

Applying learning technologies to improve the current practices of CTE requires a more holistic view focusing not only the aspect of learning but also the transfer needs of CTE within educational institutions and private sector organizations. In an effort to address the need for using technology appropriately for CTE, we provide a conceptual framework that synthesizes the literature of learning technologies and learning transfer within CTE. This chapter has the following sections: (1) developing learning content for CTE; (2) learning frameworks and instructional strategies for learning transfer within CTE; (3) key considerations for utilizing learning technologies for CTE; and (4) future trends of CTE in using advanced learning technologies.
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Introduction

One of the most prominent practices of using technologies for teaching and learning in career and technical education (CTE) is the Internet. Effectiveness of learning and efficiency in programmatic administration are viewed as the major driver to the growth of using the Internet as a teaching and learning tool in CTE (Johnson, Benson, Duncan, Shinkareva, Taylor, & Treat, 2004). These researchers reported that 76.3% of all the CTE programs at various settings, such as community colleges, technical institutes, and junior colleges offered Internet-based CTE courses in recent years. Among them, e-mail was cited as the most commonly used technology (94.3%) followed by course management systems (84.2%), and asynchronous discussion lists (64.2%) (Johnson et al., 2004). Given that the overall enrollment growth of online learners over the past five years is about six fold (9.7%) than that of on-campus students (1.5%) in the U.S. (Allen & Seaman, 2004), this pattern of growing presence and use of the Internet in CTE education is likely to continue. However, few frameworks have been established and adopted yet in the field to guide the design of learning experiences leveraging media-convergent and resource-connecting Internet technologies.

Issues of CTE in the Utilization of Learning Technologies

While the adoption of learning technologies for CTE has widely penetrated through all levels of educational institutions and private organizations, some quality issues of utilizing learning technologies for CTE were pointed out. Examples include the lack of learners’ technical skills (Kang, Lim, & Kim, 2004), the lack of social interaction during the learning process (Rovai, 2002), and the high learning curve for learning technologies by the CTE instructors (Muilenburg & Berge, 2001). For some, teaching CTE with advanced technologies was conceived as more complex and demanding than teaching a traditional classroom based course (Morrison, 2003). Lewis (2001) found that instructors’ preparation was a main factor affecting the quality of instruction in both onsite and online CTE courses. For others, utilizing learning technologies for CTE typically required more effort in managing changes, keeping track of students’ learning progress, and replying to students’ questions and requests for learning support (Collis & Nijhuis, 2000). Zirkle’s study (2003) found that access barriers, poor technology skills, negative attitude toward technology, and low involvement of instructors negatively influenced the quality of distance CTE courses. Similarly, Wonacott (2001) emphasized that access, cost, learning effectiveness, and the program fit were critical factors affecting the quality of online CTE programs.

Another key concern for CTE instructors to use advanced learning technologies is the lack of good guides to select appropriate technologies and determine how and when to use those selected to improve students’ learning. Designing and delivering a technology-rich or enabled CTE course involves various decision making processes such as identifying learning needs, deciding learning levels, developing learning frameworks, and embedding effective learning activities or measurements utilizing technologies. As clearly illustrated here, effective and efficient use of technologies are only feasible when planning and designing are grounded on the understanding of precise learning needs. In developing learning frameworks, several researchers claimed that current practices in CTE have been failing to satisfy the level of learning transfer for CTE clients. Efforts to increase the level of application and transfer to work settings will not come easy with isolated or inconsistent course-level efforts. It will be more achievable when the whole process of instructional development and technology implementation systems are managed at the curricular or a program level.

Key Terms in this Chapter

Bloom’s Taxonomy of Learning: The classification of the different objectives and skills that educators set for students according to affective, psychomotor, and cognitive domains.

Action Learning: A group problem-solving process to work with and develop people that use work on an actual project or problems as the way to learn.

Internet-Based Learning: Learning delivered on computer network and displayed by a Web browser.

Blended Learning: Learning involving a combination online learning, face-to-face instruction, and other methods.

SCORM: Sharable Content Object Reference Model. A collection of standards and specifications for web-based e-learning for communications between client side content and a host system called the run-time environment.

EPSS: Electronic Performance Support Systems. Various learning and performance support tools supporting and improving learning and performance during instruction and at workplace settings.

Inquiry Based Learning: A question-driven and open-ended learning process based on personal experiences with inquiry to understand topics and to achieve goals.

ELSS: Electronic Learning Support Systems. The instructional technologies and systems to support learning and instruction.

Performance Consulting: The process by which professionals or experts work with management and others to identify and achieve performance excellence linked to business goals.

Component Display Domains: Taxonomic domains of content types (facts, concepts, processes, principles, and procedures) and performance levels (remember, use, and find).

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