Monitoring What Matters About Context and Instruction in Science Education: A NAEP Data Analysis Report

This report explores background variables in the National Assessment of Educational Progress (NAEP) to examine key context and instructional factors behind science learning for eighth grade students. Science education is examined from five perspectives: student engagement in science, science teachers' credentials and professional development, availability and use of science resources, approaches to science instruction, and methods and uses of science assessment

Using Data in Undergraduate Science Classrooms

Provides pedagogical insight concerning the skill of using data The resource being annotated is: http://www.dlese.org/dds/catalog_DATA-CLASS-000-000-000-007.htm

Learning strategies of digital forensics examiners and students studying digital forensics.

Digital forensics, also known as computer forensics, is the investigation of any digital media in order to find evidence. This media can include computer hard drives, flash drives, cell phones, etc... This discipline is relatively new compared to the other forensic disciplines, and is evolving at an exponential rate to keep up with changing technology. Digital forensics investigators often come from different backgrounds. Some have computer science backgrounds and are trained to be investigators while others come from the investigator side and are trained in computer forensics. Some examiners do not have a background in either area, but are being trained in both. There have been many studies concerning the learning strategies of adults. However, no studies have been done to find a common learning strategy among this group. This study determined the predominant learning strategy of a convenience sample of this diverse group to be problem solvers using the Assessing The Learning Strategies of AdultS (ATLAS) tool. This allows educators in this field to have a better understanding of how these students learn, and make the process more meaningful. Also, the educators of the on-going training in digital forensics will be more successful in presenting new material to experienced investigators already in the field

Experiential learning in control systems laboratories and engineering project management

Experiential learning is a process by which a student creates knowledge through the insights gained from an experience. Kolb's model of experiential learning is a cycle of four modes: (1) concrete experience, (2) reflective observation, (3) abstract conceptualization, and (4) active experimentation. His model is used in each of the three studies presented in this dissertation. Laboratories are a popular way to apply the experiential learning modes in STEM courses. Laboratory kits allow students to take home laboratory equipment to complete experiments on their own time. Although students like laboratory kits, no previous studies compared student learning outcomes on assignments using laboratory kits with existing laboratory equipment. In this study, we examined the similarities and differences between the experiences of students who used a portable laboratory kit and students who used the traditional equipment. During the 2014-2015 academic year, we conducted a quasi-experiment to compare students' achievement of learning outcomes and their experiences in the instructional laboratory for an introductory control systems course. Half of the laboratory sections in each semester used the existing equipment, while the other sections used a new kit. We collected both quantitative data and qualitative data. We did not identify any major differences in the student experience based on the equipment they used. Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended outcomes of the course or laboratory. In this study, I identified a common set of laboratory objectives, concepts, and components of a laboratory apparatus for undergraduate control systems laboratories. During the summer of 2015, a panel of 40 control systems faculty members, from a variety of institutions, completed a multi-round Delphi survey in order to bring them toward consensus on the common aspects of their laboratories. The following winter, 45 additional faculty members and practitioners from the control systems community completed a follow-up survey to gather feedback on the results of the Delphi survey. During the Delphi study, the panelists identified 15 laboratory objectives, 26 concepts, and 15 components that were common in their laboratories. Then in both the Delphi survey and follow-up survey each participant rated the importance of each of these items. While the average ratings differed slightly between the two groups, the order of each set of items was compared with two different tests and the order was found to be similar. Some of the common and important learning objectives include connecting theory to what is implemented and observed in the laboratory, designing controllers, and modeling and simulating systems. The most common component in both groups was MathWorks software. Some of the common concepts include block diagrams, stability, and PID control. Defining common aspects of undergraduate control systems laboratories enables common development, detailed comparisons, and simplified adaptation of equipment and experiments between campuses and programs. Throughout an undergraduate program in engineering, there are multiple opportunities for hands-on laboratory experiences that are related to course content. However, a similarly immersive experience for project management graduate students is harder to incorporate for all students in a course at once. This study explores an experiential learning opportunity for graduate students in engineering management or project management programs. The project management students enroll in a project management course. Undergraduate students interested in working on a project with a real customer enroll in a different projects course. Two students from the project management course function as project managers and lead a team of undergraduate students in the second course through a project. I studied how closely the project management experience in these courses aligns with engineering project management in industry. In the spring of 2015, I enrolled in the project management course at a large Midwestern university. I used analytic autoethnography to compare my experiences in the course with my experiences as a project engineer at a large aerospace company. I found that the experience in the course provided an authentic and comprehensive opportunity to practice most of the skills listed in the Project Management Book of Knowledge (an industry standard) as necessary for project managers. Some components of the course that made it successful: I was the project manager for the whole term, I worked with a real client, and the team defined and delivered the project before the end of the semester

Examining and contrasting the cognitive activities engaged in undergraduate research experiences and lab courses

While the positive outcomes of undergraduate research experiences (UREs) have been extensively categorized, the mechanisms for those outcomes are less understood. Through lightly structured focus group interviews, we have extracted the cognitive tasks that students identify as engaging in during their UREs. We also use their many comparative statements about their coursework, especially lab courses, to evaluate their experimental physics-related cognitive tasks in those environments. We find there are a number of cognitive tasks consistently encountered in physics UREs that are present in most experimental research. These are seldom encountered in lab or lecture courses, with some notable exceptions. Having time to reflect and fix or revise, and having a sense of autonomy, were both repeatedly cited as key enablers of the benefits of UREs. We also identify tasks encountered in actual experimental research that are not encountered in UREs. We use these findings to identify opportunities for better integration of the cognitive tasks in UREs and lab courses, as well as discussing the barriers that exist. This work responds to extensive calls for science education to better develop students' scientific skills and practices, as well as calls to expose more students to scientific research.Comment: 11 pages, 3 figure

Remote experimentation network - yielding an inter-university peer-to-peer e-service

The goal of this paper is to discuss the benefits and challenges of yielding an inter-continental network of remote laboratories supported and used by both European and Latin American Institutions of Higher Education. Since remote experimentation, understood as the ability to carry out real-world experiments through a simple web browser, is already a proven solution for the educational community as a supplement to on-site practical lab work (and in some cases, namely for distance learning courses, a replacement to that work), the purpose is not to discuss its technical, pedagogical, or economical strengths, but rather to raise and try to answer some questions about the underlying benefits and challenges of establishing a peer-to-peer network of remote labs. Ultimately, we regard such a network as a constructive mechanism to help students gain the working and social skills often valued by multinational/global companies, while also providing awareness of local cultural aspects

Remote lab experiments: opening possibilities for distance learning in engineering fields

Remote experimentation laboratories are systems based on real equipment, allowing students to perform practical work through a computer connected to the internet. In engineering fields lab activities play a fundamental role. Distance learning has not demonstrated good results in engineering fields because traditional lab activities cannot be covered by this paradigm. These activities can be set for one or for a group of students who work from different locations. All these configurations lead to considering a flexible model that covers all possibilities (for an individual or a group). An inter-continental network of remote laboratories supported by both European and Latin American institutions of higher education has been formed. In this network context, a learning collaborative model for students working from different locations has been defined. The first considerations are presented

Developing a Methodology for Creating Flexible Instructional Information Technology Laboratories

Many schools - particularly the more dynamic segments of high schools and community colleges - have begun to undertake instruction in the areas of PC repair, networking (vendor-neutral and specific alike), operating systems, wireless technologies, and so forth. For some schools, however, this leap forward has come only with a later realization that there are tremendous startup costs and ongoing expenses associated with such endeavors, especially considering that many of these instructional elements have historically called for independent instructional facilities. From this perspective, institutions may find they have to cut their programmatic vision short in the face of harsher budgetary realities of supporting so many laboratories, or abandon their efforts altogether. In this paper, it is suggested that this scenario does not have to become a reality. Instead, it is proposed that affordable, functional, and practical multipurpose Information Technology (IT) classrooms can be developed when a combination of good initial design and planning, affordable technologies, and mature business models are practiced. With the application of certain methodologies, a system can be created for any institution wishing to develop facilities and the means to support and mature them over time. Often faced with budgetary constraints, space limitations, or uncertain financial support mechanisms, it is becoming important that higher education institutions engaging in the instruction of advanced computing and networking develop a process and methodology for establishing and maintaining computing laboratories that can service a variety of diverse and complex instructional needs

Boston University Bulletin. School of Management; Graduate Programs, 1980-1981

Each year Boston University publishes a bulletin for all undergraduate programs and separate bulletins for each School and College, Summer Term, and Overseas Programs. Requests for the undergraduat e bulle tin should be addressed to the Admissions Office and those for other bulletins to the individual School or College. This bulletin contains current information regarding the calendar, admissions, degree requirements, fees, regulations, and course offerings. The policy of the University is to give advance notice of change, when ever possible, to permit adjustment. The University reserves the right in its sole judgment to make changes of any nature in its program, calendar, or academic schedule whenever it is deemed necessary or desirable, including changes in course content, the rescheduling of classes with or without extending the academic term, canceling of scheduled classes and other academic activities, and requiring or affording alternatives for schedul ed classes or other academic activities, in any such case giving such notice thereof as is reasonably practicable under the circumstances. Boston University Bulletins (USPS 061-540) are published twenty times a year: one in January, one in March, four in May, four in June, six in July, one in August, and three in September

Remote lab experiments: opening possibilities for distance learning in engineering fields

Remote experimentation laboratories are systems based on real equipment, allowing students to perform practical work through a computer connected to the internet. In engineering fields lab activities play a fundamental role. Distance learning has not demonstrated good results in engineering fields because traditional lab activities cannot be covered by this paradigm. These activities can be set for one or for a group of students who work from different locations. All these configurations lead to considering a flexible model that covers all possibilities (for an individual or a group). An inter-continental network of remote laboratories supported by both European and Latin American institutions of higher education has been formed. In this network context, a learning collaborative model for students working from different locations has been defined. The first considerations are presented.Education for the 21 st century - impact of ICT and Digital Resources ConferenceRed de Universidades con Carreras en Informática (RedUNCI