Educational Research Abstracts

Editors\u27 Note: As noted in previous issues of the Journal of Mathematics and Science: Collaborative Explorations, the purpose of this Educational Research Abstract section is to present current published research on issues relevant to math and science teaching at both the K-12 and college levels. Because educational research articles are published in so many different academic journals, it is a rare public school teacher or college professor who reads all the recent published reports on a particular instructional technique or curricular advancement. Indeed, the uniqueness of various pedagogical strategies has been tacitly acknowledged by the creation of individual journals dedicated to teaching in a specific discipline. Yet many of the insights gained in teaching certain physics concepts, biological principles, or computer science algorithms can have generalizability and value for those teaching in other fields or with different types of students. In this review, the focus is on assessment. Abstracts are presented according to a question examined in the published articles. Hopefully, such a format will trigger your reflections about exemplary math/science assessment as well as generate ideas about your own teaching situation. The abstracts presented here are not intended to be exhaustive, but rather a representative sampling of recent journal articles. Please feel free to identify other useful research articles on a particular theme or to suggest future teaching themes to be examined. Please send your comments and ideas via email to [email protected] or by regular mail to The College of William and Mary, P. O. Box 8795, Williamsburg, VA 23185-8795

SciTech News Volume 71, No. 2 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division 9 Aerospace Section of the Engineering Division 12 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 14 Reviews Sci-Tech Book News Reviews 16 Advertisements IEEE

Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol

Citation: Laverty, J. T., Underwood, S. M., Matz, R. L., Posey, L. A., Carmel, J. H., Caballero, M. D., . . . Cooper, M. M. (2016). Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol. Plos One, 11(9), 21. doi:10.1371/journal.pone.0162333Many calls to improve science education in college and university settings have focused on improving instructor pedagogy. Meanwhile, science education at the K-12 level is undergoing significant changes as a result of the emphasis on scientific and engineering practices, crosscutting concepts, and disciplinary core ideas. This framework of "three-dimensional learning" is based on the literature about how people learn science and how we can help students put their knowledge to use. Recently, similar changes are underway in higher education by incorporating three-dimensional learning into college science courses. As these transformations move forward, it will become important to assess three-dimensional learning both to align assessments with the learning environment, and to assess the extent of the transformations. In this paper we introduce the Three-Dimensional Learning Assessment Protocol (3D-LAP), which is designed to characterize and support the development of assessment tasks in biology, chemistry, and physics that align with transformation efforts. We describe the development process used by our interdisciplinary team, discuss the validity and reliability of the protocol, and provide evidence that the protocol can distinguish between assessments that have the potential to elicit evidence of three-dimensional learning and those that do not

Learning chemical reaction via augmented reality

The possibility of using Augmented Reality (AR) program as supplementary material in learning chemistry is evaluated in this paper. Chemistry is regarded as difficult to learn due to abstract nature of the subject. The content learning of the subject comprises multiple levels of representation, which challenge the conceptual understanding and problem solving of a student. This study is trying to identify the difficulty of learning chemistry particularly in acids and bases topic in term of conceptual understanding and algorithmic problem solving. Students are known to consistently make mistake writing the symbol of chemical formulas and also confused between the use of subscript and coefficient of a chemical formula. These eventually lead to wrong stoichiometry in balancing the chemical equation. The mistakes snowball into bigger problems when students are not able to understand the chemical equation in term of the algorithm and also conceptual. In order to the address the issues, students’ understanding regarding the chemical reaction of acids and bases should be investigated to elucidate student alternative conception if any in order to suggest suitable features for learning acids and bases chemical reaction using the AR program. As the issue is considered prevalent, the need of effective and promising solution is critical, thus AR should be evaluated as a supplementary teaching aid. AR helps students in visualizing the microscopic part of the reaction hence should promote correct understanding of the chemical reaction. The technology is considered recent and the use in chemistry field has been reported. However in chemical reaction learning, data supporting the effectiveness of the AR program is still insufficient. The effectiveness of the program towards students’ algorithmic problems solving and conceptual understanding in the acids and bases topic can be investigated. The results from the study should suggest the significance of the AR program in learning chemical reaction and equation in chemistry

Leveraging a Relationship with Biology to Expand a Relationship with Physics

This work examines how experiences in one disciplinary domain (biology) can impact the relationship a student builds with another domain (physics). We present a model for disciplinary relationships using the constructs of identity, affect, and epistemology. With these constructs we examine an ethnographic case study of a student who experienced a significant shift in her relationship with physics. We describe how this shift demonstrates (1) a stronger identification with physics, (2) a more mixed affective stance towards physics, and (3) more expert-like ways of knowing in physics. We argue that recruiting the students relationship with biology into experiences of learning physics impacted her relationship with physics as well as her sense of how physics and biology are linked

Developing e-assessment using the quiz activity within Moodle: empowering student learning

Using formative assessment within Moodle has been shown to encourage self-directed learning (Bromham & Oprandi, 2006). Our experience of using formative assessment quizzes as stand alone entities, as well as within Moodle lessons, has been used to introduce Moodle assessment quizzes over the past year in Level 1 and Level 2 Life Sciences courses. This experience has been distilled to inform the content of this workshop. Some advantages of incorporating assessments in the form of Moodle quizzes are that they allow for quick, reproducible and flexible assessment with a relatively small initial set-up cost, and substantial long-term staff and administration savings. One significant advantage is that staff and room pressures can be reduced as students can attempt the assessment at a time and location of their choice within a specified time period. This flexibility can help to reduce student stress associated with completion of a continuous assessment for their course. It is also a relatively simple process to account for students entitled to extra time during assessments. Providing clear instructions beforehand and at the start of the quiz ensures that students understand their responsibilities for completion of this assessment and ultimately the course. There are some disadvantages and limitations to the system as it currently exists, for example there is the perceived ability for students to “cheat” by completing the assessment as a group, accessing books and the internet. Strategies to account for these can be put in place and will be discussed in detail during the workshop. This workshop aims to take the participants through the initial set up of a quiz, highlighting the various question types and how these can be used to create a challenging assessment that can be quickly graded and prove informative for staff and course development. Reference Bromham L. & Oprandi P. (2006) Evolution online: developing active and blended learning by using a virtual learning environment in an introductory biology course. Journal of Biological Education 41 (1): 21-25

Multinational perspectives on information technology from academia and industry

As the term \u27information technology\u27 has many meanings for various stakeholders and continues to evolve, this work presents a comprehensive approach for developing curriculum guidelines for rigorous, high quality, bachelor\u27s degree programs in information technology (IT) to prepare successful graduates for a future global technological society. The aim is to address three research questions in the context of IT concerning (1) the educational frameworks relevant for academics and students of IT, (2) the pathways into IT programs, and (3) graduates\u27 preparation for meeting future technologies. The analysis of current trends comes from survey data of IT faculty members and professional IT industry leaders. With these analyses, the IT Model Curricula of CC2005, IT2008, IT2017, extensive literature review, and the multinational insights of the authors into the status of IT, this paper presents a comprehensive overview and discussion of future directions of global IT education toward 2025

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

The Penn Science Teacher Institute: A Proven Model

The University of Pennsylvania’s Master of Chemistry Education (MCE) program graduated five cohorts of approximately twenty teachers between 2002 and 2006. One year after the teachers in the last cohort earned their degrees, the Penn Science Teacher Institute (Penn STI) initiated a follow-up study to ascertain if the goals of the MCE program had been sustained. For example, were the teachers incorporating updated content knowledge into their lessons and were their students learning more chemistry? A total of seventy-four of the eighty-two graduates participated in some aspect of this study. Because baseline data were not available for the MCE teachers and their students, baseline data from a comparable group of chemistry teachers enrolled in the first cohort of the Penn STI program and their students were used in some analyses. Among other findings, the data indicate that MCE met its goals: 1) to improve the chemistry content knowledge of its teacher participants; 2) to increase the use of research-based instruction in their classrooms; and, 3) to improve student achievement in chemistry (students of MCE graduates scored significantly higher than the comparison group)