This research focused on a formal (theory based) approach to designing Intelligent Tutoring System (ITS) authoring tool involving two specific conventional pedagogical theories—Conversation Theory (CT) and Cognitive Apprenticeship (CA). The research conceptualised an Augmented Conversation and Cognitive Apprenticeship Metamodel (ACCAM) based on apriori theoretical knowledge and assumptions of its underlying theories. ACCAM was implemented in an Intelligent Learning Activity Builder System (ILABS)—an ITS authoring tool. ACCAM’s implementation aims to facilitate formally designed tutoring systems, hence, ILABS―the practical implementation of ACCAM― constructs metamodels for Intelligent Learning Activity Tools (ILATs) in a numerical problem-solving context (focusing on the construction of procedural knowledge in applied numerical disciplines). Also, an Intelligent Learning Activity Management System (ILAMS), although not the focus of this research, was developed as a launchpad for ILATs constructed and to administer learning activities. Hence, ACCAM and ILABS constitute the conceptual and practical contributions that respectively flow from this research. ACCAM’s implementation was tested through the evaluation of ILABS and ILATs within an applied numerical domain―the accounting domain. The evaluation focused on the key constructs of ACCAM―cognitive visibility and conversation, implemented through a tutoring strategy employing Process Monitoring (PM). PM augments conversation within a cognitive apprenticeship framework; it aims to improve the visibility of the cognitive process of a learner and infers intelligence in tutoring systems. PM was implemented via an interface that attempts to bring learner’s thought process to the surface. This approach contrasted with previous studies that adopted standard Artificial Intelligence (AI) based inference techniques. The interface-based PM extends the existing CT and CA work. The strategy (i.e. interface-based PM) makes available a new tutoring approach that aimed fine-grain (or step-wise) feedbacks, unlike the goal-oriented feedbacks of model-tracing. The impact of PM—as a preventive strategy (or intervention) and to aid diagnosis of learners’ cognitive process—was investigated in relation to other constructs from the literature (such as detection of misconception, feedback generation and perceived learning effectiveness). Thus, the conceptualisation and implementation of PM via an interface also contributes to knowledge and practice. The evaluation of the ACCAM-based design approach and investigation of the above mentioned constructs were undertaken through users’ reaction/perception to ILABS and ILAT. This involved, principally, quantitative approach. However, a qualitative approach was also utilised to gain deeper insight. Findings from the evaluation supports the formal (theory based) design approach—the design of ILABS through interaction with ACCAM. Empirical data revealed the presence of conversation and cognitive visibility constructs in ILATs, which were determined through its behaviour during the learning process. This research identified some other theoretical elements (e.g. motivation, reflection, remediation, evaluation, etc.) that possibly play out in a learning process. This clarifies key conceptual variables that should be considered when constructing tutoring systems for applied numerical disciplines (e.g. accounting, engineering). Also, the research revealed that PM enhances the detection of a learner’s misconception and feedback generation. Nevertheless, qualitative data revealed that frequent feedbacks due to the implementation of PM could be obstructive to thought process at advance stage of learning. Thus, PM implementations should also include delayed diagnosis, especially for advance learners who prefer to have it on request. Despite that, current implementation allows users to turn PM off, thereby using alternative learning route. Overall, the research revealed that the implementation of interface-based PM (i.e. conversation and cognitive visibility) improved the visibility of learner’s cognitive process, and this in turn enhanced learning—as perceived.

Undergraduate courses such as mathematics, science, and computer programming require high levels of decision making, concentration, and cognitive demand. Researchers in the field of instructional design are interested in effective instructional strategies that can aid practitioners in teaching such abstract and complex skills. One example of an instructional strategy that has proven effective in teaching these skills is cognitive apprenticeship (CA). While CA has been applied to courses such as mathematics and computer programming in face-to-face and blended learning environments, there is little evidence of the advantages of applying CA in a fully online computer programming course. Specifically, the introductory programming course, CS1, is the first contact that undergraduate computer science students have with their chosen major. Historically, drop-out rates for CS1 have been high and thus strategies for effective teaching of this course have served as an important topic in the research literature. The goal was to design and validate internally an online CS1 course that incorporates CA strategies. A two-phase design and development research method was used to guide the construction and internal validation of a fully online CS1 course. Phase one resulted in the design and development of the course guide. An expert-review process using the Delphi technique was implemented in phase two to validate the design with regard to its effectiveness, efficiency, and appeal. Three rounds of review by the panel resulted in consensus. Results from the expert-review confirmed the application of CA as an effective, efficient, and appealing instructional strategy to use when designing an online CS1 course. Future research should focus on external validation of the design by implementing the course to evaluate its effectiveness, efficiency, and appeal among stakeholders. In addition, it is hoped that the course guide can be used to help practitioners design and implement a fully online CS1 course that uses CA strategies.

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 198-216).

Master of Science / Department of Computer Science / Daniel A. Andresen / This thesis presents a curriculum designed for 5th and 6th grade students attending a summer camp for science, technology, engineering, and mathematics (STEM) disciplines. The curriculum uses several concepts from educational theory and computer science education research. It also uses techniques such as cognitive apprenticeship, expansive framing, and scaffolded lessons to increase student learning outcomes. It was taught during two cohorts of a STEM summer camp. The curriculum is analyzed through self-efficacy surveys both before and after the class, measuring how students judged their own capability to use skills learned during the class. Analysis of the data shows that the increase in student self-efficacy has a medium to large effect size overall, as well as student self-efficacy with many computational thinking skills. Data from various population groups based on gender, previous STEM experience, and socio-economic status indicators is also analyzed. Finally, many areas of future work and improvement are presented and discussed. The outcome of this work is to demonstrate the effectiveness of the curriculum presented in increasing student self-efficacy with computational thinking skills, specifically by showing the links between content in the curriculum and specific computational thinking skills.

This qualitative study examined how university students learn to engage in the practices of scientific inquiry via research apprenticeships and how such experiences prepare them to be STEM literate. Surveys and interviews addressed two primary research questions: 1. What is the nature of interaction between student participant and faculty mentor? Subsidiary question: What is the role of technology in the mentoring relationship? 2. How do students and faculty describe the development of STEM literacies in the undergraduate research experience? Subsidiary question: How does the mentoring process contribute to the development of STEM literacies? Results demonstrated the importance of learning by engaging in authentic activity under the guidance of mentor experts, the undergraduate research experience helps enable acquisition of STEM literacies but mere participation in research experiences does not always lead to high quality learning, mentoring relationships are not all the same, and the use of technology in undergraduate research experiences varies. Overall the study concludes that students find undergraduate research experiences beneficial as compared to other experiences. Research afforded them the opportunity to understand how research can be applied and gain knowledge that they would not have gained in the classroom.

abstract: The present study explored the use of augmented reality (AR) technology to support cognitive modeling in an art-based learning environment. The AR application used in this study made visible the thought processes and observational techniques of art experts for the learning benefit of novices through digital annotations, overlays, and side-by-side comparisons that when viewed on mobile device appear directly on works of art. Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected. Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device. Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments. / Dissertation/Thesis / Doctoral Dissertation Educational Technology 2016

No description available.

Doctor of Education / Department of Educational Leadership / Trudy A. Salsberry / This dissertation examines an understudied group according the American Council on Education: the tenure-track early career faculty (ECF). The focus is on the culturalization, socialization, academic culture, and emergent themes discerned from ten semi-structured interviews with tenure-track ECF. This qualitative bounded system case study was conducted in the context of a Midwestern Carnegie I Research Land-Grant Institution, an institution with emphasis on teaching, research, and service. Ten semi-structured interviews were conducted and transcribed. From these, codes, categories, patterns, and themes were found. Additional documentation was also considered such as participants’ resumes and the faculty handbook, COE: Orientation to COE A Guide for Faculty 2008-2009. The themes included a reliance on socialization from the parent degree granting institution, and an overall request for balance between professional and personal life. In addition the ECFs need mentoring at their new institution in research, writing and publication, in professional identity, and socialization to tacit knowledge via cognitive apprenticeship. A recommendation is that there be a bi-directional conversation on socialization, rather than a top down approach.

One of the principles regarding our knowledge about life on earth is that no organism can be fully understood without taking into account its surrounding environment. This study examines the extent to which ecosystem-focused field studies may be associated with students' academic performance and potential to contribute to the advancement of science and conservation. Pilot studies conducted in Panama and California established methods used in this project from 1993-2003. Two hundred and sixty-seven students conducted field studies in either Kenya or Costa Rica. Students worked in cognitive apprenticeships, in which research staff trained each student to conduct field research. At the conclusion of their fieldwork, the research staff assessed the students written field reports. The students' reports were then sorted according to the extent to which their studies were ecosystem-focused. Data analysis through nonparametric, Kruskal-Wallis statistical tests revealed no significant difference in academic performance on field study reports, in regards to whether the studies were narrow in scope (species-specific) or broad (ecosystem-focused). Marginal significance was revealed between ecosystem-focused studies and the potential for students' fieldwork to contribute to the advancement of science and conservation. Also addressed in the data were injuries, disease, and potential hazards, which were influenced by prudent and decisive leadership. Successful field studies require consideration of the content, context, and design of the intended field projects. Many of the solutions to environmental problems on the planet will come from the working hands of teachers and students that conduct explorations in the field. / Life Sciences in Education / D. Phil. (Mathematics, Science and Technology Education)

In this thesis, I discuss how the undergraduate computer scientist is trained, and how they learn what I am calling computational intuition. Computational intuition describes the methodology in which computer scientists approach their problems and solve them through the use of computers. Computational intuition is a series of skills and a way of thinking or approaching problems that students learn throughout their education. The main way that computational intuition is taught to students is through the experience they gain as they work on homework and classwork problems. To develop computational intuition, students learn explicit knowledge and techniques as well as knowledge that is tacit and harder to teach within the lectures of a classroom environment. Computational intuition includes concepts that professors and students discuss which include “computer science intuition,” “computational thinking,” general problem solving skills or heuristics, and trained judgement. This way of learning is often social, and I draw on the pedagogy of cognitive apprenticeship to understand the interactions between the professors, tutors, and other students help learners gain an understanding of the “computer science intuition.” It is this method of thinking that computer scientists at the Claremont Colleges have stated as being one of the most essential items that should be taught and gained throughout their education and signals a wider understanding of computer science as a field.