In science, technology, engineering, and mathematics (STEM) education, problem solving tends to be highly procedural, and these procedures are typically taught with general instructional text and specific worked examples. Instructional text broadly defines procedures for problem solving, and worked examples demonstrate how to apply procedures to problems. Subgoal labels have been used to help students understand the structure of worked examples, and this feature has increased problem solving performance. The present study explored using subgoal labels in instructional text to further improve learners’ problem solving performance. A factorial design examined the efficacy of subgoal labeled instructional text and worked examples for programming education. The results of the present study suggest that subgoal labels in instructional text can help learners in a different way than subgoal labels in worked examples. Subgoal labels in text helped the learner articulate the general procedure better, and subgoal labels in the example helped the learner apply those procedures better. When solving novel problems, learners who received subgoal labels in both the text and example performed better than those who received subgoal labels in only the example. Learners who received subgoal labels in only the example performed better than those who received subgoal labels in only the text and those who did not receive subgoal labels at all. The present study indicates that subgoal labeled instructional text can improve novices’ problem solving performance in programming, but subgoal labels must appear in both the text and example.

abstract: From the instructional perspective, the scope of "active learning" in the literature is very broad and includes all sorts of classroom activities that engage students with the learning experience. However, classifying all classroom activities as a mode of "active learning" simply ignores the unique cognitive processes associated with the type of activity. The lack of an extensive framework and taxonomy regarding the relative effectiveness of these "active" activities makes it difficult to compare and contrast the value of conditions in different studies in terms of student learning. Recently, Chi (2009) proposed a framework of differentiated overt learning activities (DOLA) as active, constructive, and interactive based on their underlying cognitive principles and their effectiveness on students' learning outcomes. The motivating question behind this framework is whether some types of engagement affect learning outcomes more than the others. This work evaluated the effectiveness and applicability of the DOLA framework to learning activities for STEM classes. After classification of overt learning activities as being active, constructive or interactive, I then tested the ICAP hypothesis, which states that student learning is more effective in interactive activities than constructive activities, which are more effective than active activities, which are more effective than passive activities. I conducted two studies (Study 1 and Study 2) to determine how and to what degree differentiated activities affected students' learning outcomes. For both studies, I measured students' knowledge of materials science and engineering concepts. Results for Study 1 showed that students scored higher on all post-class quiz questions after participating in interactive and constructive activities than after the active activities. However, student scores on more difficult, inference questions suggested that interactive activities provided significantly deeper learning than either constructive or active activities. Results for Study 2 showed that students' learning, in terms of gain scores, increased systematically from passive to active to constructive to interactive, as predicted by ICAP. All the increases, from condition to condition, were significant. Verbal analysis of the students' dialogue in interactive condition indicated a strong correlation between the co-construction of knowledge and learning gains. When the statements and responses of each student build upon those of the other, both students benefit from the collaboration. Also, the linear combination of discourse moves was significantly related to the adjusted gain scores with a very high correlation coefficient. Specifically, the elaborate type discourse moves were positively correlated with learning outcomes; whereas the accept type moves were negatively correlated with learning outcomes. Analyses of authentic activities in a STEM classroom showed that they fit within the taxonomy of the DOLA framework. The results of the two studies provided evidence to support the predictions of the ICAP hypothesis. / Dissertation/Thesis / Ph.D. Curriculum and Instruction 2012

In science, technology, engineering, and mathematics (STEM) education, producing high level talent and increasing equity of access and engagement are prominent but sometimes conflicting policy directives. Yet, retention and persistence are important outcomes both for the production of elite talent and for promoting equity within STEM fields. This dissertation investigates the effects of policy on student persistence in Finland, Sweden and the United States. Drawing on interviews with upper-secondary school students and teachers (Finland: 26 students, 8 teachers; Sweden: 29 students and 10 teachers; United States: 19 students, 2 mentors) and surveys (Finland: 255 students, Sweden: 130 students, United States: 288 students), this study investigates the effects that different structures (including contrasting policies of stratification and differentiation, specialist magnet schools and enrichment programmes) have on students’ intentions to persist in STEM fields. This study supports the theory that educational policies mediate student persistence both through structural possibility, and through the development of students’ identities and non-cognitive skills. Here, non-cognitive skills (such as self-efficacy and self-concept) are considered part of an ‘adaptive habitus’ and a latent variable comprised of domain-specific non-cognitive skills is used in models of student persistence. The models illustrate the do- main specific interactions of educational structures, student background, adaptive habitus and student persistence. Analysis of the interviews further explores these relationships, suggesting the importance of programmes that include exposure to challenging real-world STEM learning and interaction with STEM professionals, and that such features are effective in part because they foster an adaptive habitus towards STEM fields. The policy implications for both efficiency and equity are considered. A framework of Mechanism, Transparency and Permeability is introduced for analysing the effects of policies on efficiency and equity. Drawing on the interviews, this framework is used to give a comparative characterisation of the educational systems Finland, Sweden and the United States. Permeability is highlighted as particularly important for retention and persistence, and a key consideration for educational policies that seek to produce elite talent, and promote equity in STEM fields.

No description available.

abstract: The science, technology, engineering, and math (STEM) education community is interested in using virtual reality (VR) to help students learn STEM knowledge. Prior research also provided evidence that VR learning can increase students’ motivation and learning achievement. However, it was not clear whether the effect of VR on learning was partly from sensory novelty and whether the effectiveness was sustainable. This study was to satisfy the concern on the sustainability of VR STEM learning in instruction and address the research gaps in exploring the effect of VR on a STEM learning experience with a consideration of novelty. The study used a mixed-methods experimental design and involved a three-session VR STEM learning intervention. The quantitative data was collected through the intervention by survey questionnaire, session quiz, and pre- and post-tests, while the interviews were taken after the intervention. The structural equation modeling method was used to explore the relationships among factors in the VR learning experience. Longitudinal quantitative comparisons were conducted with the multiple imputation method. Its purpose was to evaluate the changing magnitude of factors across sessions. After quantitative analysis, interview transcripts were analyzed. They were used to triangulate or provide context for understanding of quantitative results. The results showed that motivation and engagement play a critical mediation role in an effective VR learning experience. While individuals’ psychological responses and motivation may significantly increase in a VR learning experience for novelty, the novelty effect may not steeply decrease when individuals are becoming familiar with the novelty. This phenomenon is more observable in a VR condition having a high degree of immersion and embodiment. In addition, novelty does not necessarily increase learning achievement. The increase of learning achievement is more dependent on a match between the learning content and the learning method. The embodied learning method is appropriate for instructing difficult knowledge and spatial knowledge. Reserving enough time for reflection is important to deep learning in a VR environment. / Dissertation/Thesis / Doctoral Dissertation Engineering Education Systems and Design 2020

African American women are underrepresented in science, technology, engineering, and mathematics (STEM) fields throughout the United States. As the need for STEM professionals in the United States increases, it is important to ensure that African American women are among those professionals making valuable contributions to society. The purpose of this phenomenological study was to describe the experiences of African American young women in relation to STEM education. The research question for this study examined how experiences with STEM in K-10 education influenced African American young women's academic choices in their final years in high school. The theory of multicontextuality was used to provide the conceptual framework. The primary data source was interviews. The sample was composed of 11 African American young women in their junior or senior year in high school. Data were analyzed through the process of open coding, categorizing, and identifying emerging themes. Ten themes emerged from the answers to research questions. The themes were (a) high teacher expectations, (b) participation in extra-curricular activities, (c) engagement in group-work, (d) learning from lectures, (e) strong parental involvement, (f) helping others, (g) self-efficacy, (h) gender empowerment, (i) race empowerment, and (j) strategic recruitment practices. This study may lead to positive social change by adding to the understanding of the experiences of African American young women in STEM. By doing so, these findings might motivate other African American young women to pursue advanced STEM classes. These findings may also provide guidance to parents and educators to help increase the number of African American women in STEM.

No description available.

This dissertation is an evaluation of an intervention designed to (a) increase the number of minority students who pursue graduate degrees in Science, Technology, Engineering, and Mathematics (STEM) disciplines, and (b) to develop a cadre of qualified individuals from minority backgrounds who, upon finishing their training, are ready to take positions as faculty members and mentors. The Alliances for Graduate Education and the Professoriate (AGEP) is a program funded by the National Science Foundation (NSF) to support a pathway from undergraduate to graduate school and to a career in the professoriate. AGEP is part of an effort by the U.S. Government to keep the nations' competitive edge; redress historical gender and racial inequalities still prevalent at the higher levels of science and academia; and to use those who have reached the top of their professions as effective role models for the thousands of talented youth who are excluded from STEM fields due to real or perceived social, economic, or cultural barriers. As of September 2012, there were 178 colleges and universities grouped in 37 alliances nationwide and serving approximately 22,000 minority doctoral students. Specifically, this evaluation focuses on one alliance situated in the North Region of the United States, and presents the approaches, rationale, and findings of evaluation activities conducted during 2011 through 2012. The overarching goals of this evaluation were to assist program managers and staff in their efforts to improve the quality and effectiveness of the program, and to provide them with information related to the program's contribution to increasing the recruitment and retention of students from underrepresented minorities (URMs) in STEM graduate programs, their transition into the professoriate, and the strength of the program's theory of change. To achieve these goals the evaluation design included a) the reconstruction of the program's theory, b) a systematic review and meta-analysis of existing research; and c) analysis of primary data collected from a sample of current AGEP students, alumni, faculty, staff, and program officers. Primary data were collected through focus groups, interviews, and electronic surveys for current and former participants. The evaluation found evidence that the North Region program has been largely successful in contributing to the number of URM receiving STEM graduate degrees at both the master's and doctoral levels in North Carolina since its inception in 1999. Those who have received their graduate degrees are employed in academic and non-academic settings as practitioners, researchers, and as university faculty. Probably the most significant weakness was the absence of a systematic or coherent evaluation design of the program that could be found throughout the history of the program.

No description available.

The research presented in this study investigates the effect of the COVID-19 pandemic on teacher self-efficacy with delivering design-based learning to elementary students and identifies what resources and support teachers need to administer online or blended learning delivery of design-based learning with elementary students in the current environment. The population was elementary teachers teaching STEM content and this study included a sample of four elementary STEM teachers teaching in rural and suburban communities. Each participating teacher completed the Teacher Efficacy and Attitudes Toward STEM Survey (T-STEM) (Friday Institute for Educational Innovation, 2012) to reveal their overall self-efficacy with delivering STEM content, followed by participating in a semi-structured interview consisting of queries targeting both research questions. This qualitative analysis revealed a temporary decrease in teachers' self-efficacy at the beginning of the shift to a virtual environment. A lack of student access to resources at home, the teachers' lack of control and support for the student in a synchronous manner, and a change in STEM education as a priority were revealed as contributors to this temporary decrease in the teachers' self-efficacy. To remediate this, teachers reported condensing activities and the Engineering Design Process to accommodate the virtual environment for a traditionally hands-on instructional strategy. Teachers cited fellow educator support, previous coursework, additional time, and access to teacher resources as resources and support that would be beneficial in the current environment. / Doctor of Philosophy / The research presented in this study investigates the effect of the COVID-19 pandemic on teacher self-efficacy, or confidence, in using an instructional approach to STEM education with elementary students and identifies what resources and support teachers need to use this instructional strategy online or in blended learning settings, a combination of both online and in-person education. The instructional strategy, design-based learning, allows students to use design-thinking to apply the knowledge they are learning to a construct (Doppelt et al., 2008). This study included a sample of four elementary STEM teachers teaching in rural and suburban communities. Each participating teacher completed the Teacher Efficacy and Attitudes Toward STEM Survey (T-STEM) (Friday Institute for Educational Innovation, 2012) to reveal their overall self-efficacy with delivering STEM content, followed by participating in an interview. Prominent topics, or themes, revealed from the interviews revealed a temporary decrease in the teachers' self-efficacy at the beginning of the shift to a virtual environment at the beginning of the global pandemic. A lack of student access to resources at home, the teachers' lack of control and support for the student in a real-time manner, and a change in STEM education as a priority were revealed as contributors to this temporary decrease in the teachers' self-efficacy. To address this, the teachers reported condensing activities and the Engineering Design Process to accommodate the virtual environment for a traditionally hands-on instructional strategy. Teachers cited fellow educator support, previous coursework, additional time, and access to teacher resources as resources and support that would be beneficial in the current education system.