Action research: a methodology for transformative learning for a professor and his students in an engineering classroom

ABSTRACT

An engineering professor of a first-year thermodynamics course and a PhD student with a focus in engineering education in a large research university in Canada participated in an ethnographic action research study with the intention of increasing active learning in the classroom to enhance student engagement and learning. Unexpected findings included transformative changes to the professor’s epistemology of teaching and learning. Through the action research cycle of planning, implementing, observing, and critically reflecting, modifications were made to the instructional strategies and the learning environment that created a micro engineering community of practice where both students and teaching assistants engaged in deep learning and legitimate peripheral participation on the trajectory to ‘becoming engineers’. Qualitative interview data from the professor, three students, and three teaching assistants are analysed through approaches to learning research and situated learning theory. Engaging in action research had profound repercussions in this case. The authors make the argument for action research as a catalyst for transformative learning required for teachers to engage students in the twenty-first century classroom.     

Use of Computer Modeling of Site-Directed Mutagenesis of a Selected Enzyme: A Class Activity for an Introductory Biochemistry Course

For an introductory undergraduate biochemistry class, we developed an interactive, out of classroom, team project that would allow students to gain a better understanding of protein structure and function. This project involved the use of the molecular visualization program RasMol and computer simulated site-directed mutagenesis of selected amino acids of the enzyme, Uroporphyrinogen decarboxylase. Survey data from students after completion of the project indicated that they had developed a more complete understanding of protein three-dimensional structure leading to functionality.     

The outcomes of three models of counselling and consulting

This empirical investigation evaluated the outcomes of three models of counselling with students in the elementary school who were identified as having Learning and behavioral problems. It was hypothesized that model one, counselling with parents, teachers and students was the most effective: model two, counselling with teachers and parents was the next most effective and model three, coun selling with students only was the least effective. It was discovered after 5 months of counselling, that although the student reading scores of the combined counselling groups improved significantly in comparison to the control group, no statistically significant change occurred between the counselling models either on student reading or classroom behavior. Model one counselling, however, produced cooperative relationships between teachers, parents and students.The University of British Columbia     

Using educational placement in third grade to select and validate a preschool screening measure

The early detection of children with mild learning problems remains a problem. New screening tests are being developed that will be more effective in identifying children who fall into this “difficult to identify” group. This study examined the predictive validity of one potential screening test. The scores of 268 children on each task of a nine‐task preschool cognitive battery were evaluated in terms of the accuracy with which they predicted the classification of those same children into regular education (n = 254) or special education (n = 14) 4 years later when the children were in third grade. A classification accuracy level of 79% was achieved for the exceptional children, and a classification level of 70% for the normally achieving children. Racial/ethnic status, testing language, and socioeconomic status all impacted the children's screening performance. Lower screening scores and a greater proportion of the sample with scores below the cut were associated with minority status, not being tested in English, and lower socioeconomic status. Preschool testing in Spanish or both English and Spanish was associated with poorer achievement 4 years later. Many of the children not in special education, but with a screening score below 13, had serious academic problems in third grade that were reflected in their low percentile scores on one or more subtests of the Stanford Achievement Test. © 2003 Wiley Periodicals, Inc. Psychol Schs 40: 565–582, 2003.     

Toward a Learning Technologies knowledge network

The National Science Foundation-funded Center for Innovative Learning Technologies (CILT) is designed to be a national resource for stimulating research and development of technology-enabled solutions to critical problems in K-14 science, math, engineering and technology learning. The Center, launched at the end of 1997, is organized around four themes identified as areas where research is likely to result in major gains in teaching and learning, and sponsors research across disciplines and institutions in its four theme areas. CILT brings together experts in the fields of cognitive science, educational technologies, computer science, subject matter learning, and engineering. It engages business through an Industry Alliance Program and is also training postdoctoral students. CILT's founding organizations are SRI International's Center for Technology in Learning, University of California at Berkeley (School of Education and Department of Computer Science), Vanderbilt University's Learning Technology Center, and the Concord Consortium. Through its programs, CILT seeks to reach beyond these organizations to create a web of organizations, individuals, industries, schools, foundations, government agencies, and labs, that is devoted to the production, sharing and use of new knowledge about how learning technologies can dramatically improve the processes and outcomes of learning and teaching. This paper describes the rationale and operations of the Center, and first-year progress in defining a set of CILT partnership projects with many other institutions that came out of our national theme-team workshops. Roy Pea, of SRI International, is Director of CILT. Marcia Linn (U. California, Berkeley), John Bransford (Vanderbilt University), Barbara Means (SRI International), and Robert Tinker (Concord Consortium), serve as CILT's coprincipal investigators. Sherry Hsi (Ubiquitous Computing) and Sean Brophy (Technology and Assessment Models) are among the first group of CILT Postdoctoral Fellows. Jeremy Roschelle (SRI International) and Nancy Songer (University of Michigan) are CILT theme-team leaders. Roy Pea and Marcia Linn would like to thank the Spencer Foundation for support during their year at the Center for Advanced Study in the Behavioral Sciences, Stanford University, in which they developed the CILT concept with the other authors. CILT is funded by National Science Foundation grant #CDA-9720384. Pea and Linn would also like to acknowledge contributions to this article by the many authors of CILT partnership project proposals, and by theme-team leaders. The authors thankfully acknowledge Donna Baranski-Walker for her many contributions to developing the CILT Industrial Alliance Program while serving as its Director in 1998.     

A step function in pigeons’ temporal generalization in the peak shift task

Pigeons were reinforced for pecking a key following one signal duration (S+) but not following another signal duration (S?). The S+ and S? were 2.52 and 5.67 sec, respectively, counterbalanced across birds. Subsequent generalization tests with a range of signal durations revealed a step function, with high response rates for all durations on the S+ side of the distribution, low response rates for all durations on the S? side, and an intermediate rate for the intermediate duration. A comparison group of pigeons trained with only the S+ duration showed a flat generalization function. For the discrimination-trained birds, the delay between signal termination and opportunity to respond was subsequently varied during generalization testing. A step function again appeared, and no evidence of subjective shortening over the delay was found. The overall pattern of results suggests that the birds categorized the temporal signal into two classes and retained a categorical code over the delay.     

Integrating Free Computer Software in Chemistry and Biochemistry Instruction: An International Collaboration

At the Universidad de Caldas, Manizales, Colombia, we used their new computer facilities to introduce chemistry graduate students to biochemical database mining and quantum chemistry calculations using freeware. These hands-on workshops allowed the students a strong introduction to easily accessible software and how to use this software to begin to explore computer modeling. Each workshop was scheduled for 2 h and each included a tutorial exercise to familiarize the students with the main menus and features of the software. In addition, accompanying lectures and practical laboratory sections were provided. Both courses were taught in Spanish although the written instructions were in English. This was not a problem since these students have a comfort level with reading English. Student feedback following these workshops was highly enthusiastic and positive. This international collaborative will impact both the teaching and research goals for this cohort of graduate students.     

Increased Implementation of Emergent Literacy Screening in Pre-Kindergarten

The recent emphasis on universal prekindergarten programs, coupled with ongoing concern about children’s’ early literacy development in the first years of school, carry significant implications for how preschool educators program for literacy and assess literacy growth. We discuss the evolving role of literacy development in expanded preschool, examine key features of literacy assessments with particular attention to the content that might be assessed in preschool, and provide as an example one preschool literacy assessment tool that is in widespread use in the United States. We discuss the policy and practice implications of the growing emphasis on literacy assessment in preschoolers.     

An investigation of teacher impact on student inquiry science performance using a hierarchical linear model

Teachers play a central role in inquiry science classrooms. In this study, we investigate how seven teacher variables (i.e., gender, experience, perceived importance of inquiry and traditional teaching, workshop attendance, partner teacher, use of technology) affect student knowledge integration understanding of science topics drawing on previous research. Using a two‐level hierarchical linear model, we analyze year‐end knowledge integration performance of 4,513 students taught by 40 teachers across five states. Results indicate that students of teachers who value inquiry teaching strategies have significantly higher levels of knowledge integration understanding than those of teachers who believe in traditional teaching methods. In addition, workshop attendance and having a partner teacher teaching the same unit in the same school also have a positive impact on students' knowledge integration levels. The results underscore the importance of professional development and collegial support in enhancing student success in inquiry science. © 2009 Wiley Periodicals, Inc. J Res Sci Teach 47:807–819, 2010