Health discussions on the Internet: A study of knowledge communication through citations

The Internet is a convenient but complex source for health information used by an increasing number of health consumers. Especially for people suffering from a chronic illness (e.g., diabetes), information seeking forms a part of the daily management of the disease, a “project of life.” This study of Web texts examines the citation patterns for a specific and controversial health issue: the beneficial or hazardous use of dietary chromium supplementation in diabetes self-management. Texts from different categories of Web sources (scientific, professional, educational, and commercial sources, as well as diabetes discussion groups) were analyzed in order to study how knowledge is transferred between sources, and how diabetics participating in discussion groups refer to and make sense of the information from different sources on the Internet. The citation patterns suggest that deviations from the traditional models of scientific knowledge dissemination can occur in the Internet environment.     

Optical engineering for children – a structured approach

The present paper focuses on the application of a structured template, maximum impact flow (MIF), in order to encourage young students in the area of optics and optical engineering. MIF introduces a template in terms of individual steps and linked functionality and is shown to fuse separate learning tools together into a cohesive unit. Prioritization and teaching structures are also discussed with the promotion of technology identified as a key factor.     

Effects of thematic‐based,hands‐on science teaching versus a textbook approach for students with disabilities

Institutions of higher education, states, and local K–12 districts have been challenged to improve math and science education for our nation's students. In the past few years, there has been renewed interest in inquiry‐based, activity‐oriented instruction in science for students with disabilities. Yet, there still exists the need for further empirical evidence to support instructional improvements for students with more involved emotional and behavioral disabilities. This study describes a program in which 18 middle school students with serious emotional disturbances were instructed, over the course of 8 weeks, on “Matter” by two different instructional approaches. Students in one classroom received a traditional textbook approach to science content, whereas students in another classroom received science instruction by a hands‐on, thematic approach. Over the course of instruction, data were collected regarding students' behavior and achievement. Results indicate that, overall, students in the hands‐on instructional program performed significantly better than the students in the textbook program on two of three measures of science achievement, a hands‐on assessment and a short‐answer test. The students did not differ on a multiple‐choice format test. With regard to behavior, there were no significant differences in behavioral problems found between the two groups of students over the course of the study. Findings are discussed in relation to instructional implications for students with disabilities in the science classroom. © 2005 Wiley Periodicals, Inc. J Res Sci Teach 42: 245–263, 2005     

Employment and Achievement in a Problem‐Based Curriculum

The purpose of this study is twofold: first, to examine to what extent the time students work on paid jobs is related to study‐time (class attendance and time devoted to self‐study) and second, to what extent the time students work on paid jobs is related to achievement. A number of 120 students from the problem‐based Faculty of Health Sciences in the Netherlands kept a time‐diary. Academic achievement was measured by using scores on the block‐test. The results showed that working about four to eight hours per week on paid jobs (as opposed to working less than four hours per week or to working intensively, more than 8 hours per week) actually is positively related to study‐time. Test‐scores are not significantly different among students who are not working on jobs, work some hours, or work a lot.     

Personalized learning in iSTART: Past modifications and future design

Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.     

Kindergarten Children's Executive Functions Predict Their Second-Grade Academic Achievement and Behavior

Whether and to what extent kindergarten children's executive functions (EF) constitute promising targets of early intervention is currently unclear. This study examined whether kindergarten children's EF predicted their second-grade academic achievement and behavior. This was done using (a) a longitudinal and nationally representative sample (N = 8,920, M_age = 97.6 months), (b) multiple measures of EF, academic achievement, and behavior, and (c) extensive statistical control including for domain-specific and domain-general lagged dependent variables. All three measures of EF—working memory, cognitive flexibility, and inhibitory control—positively and significantly predicted reading, mathematics, and science achievement. In addition, inhibitory control negatively predicted both externalizing and internalizing problem behaviors. Children's EF constitute promising targets of experimentally evaluated interventions for increasing academic and behavioral functioning.     

Neuroanatomy Learning: Augmented Reality vs. Cross-Sections

Neuroanatomy education is a challenging field which could benefit from modern innovations, such as augmented reality (AR) applications. This study investigates the differences on test scores, cognitive load, and motivation after neuroanatomy learning using AR applications or using cross-sections of the brain. Prior to two practical assignments, a pretest (extended matching questions, double-choice questions and a test on cross-sectional anatomy) and a mental rotation test (MRT) were completed. Sex and MRT scores were used to stratify students over the two groups. The two practical assignments were designed to study (1) general brain anatomy and (2) subcortical structures. Subsequently, participants completed a posttest similar to the pretest and a motivational questionnaire. Finally, a focus group interview was conducted to appraise participants’ perceptions. Medical and biomedical students (n = 31); 19 males (61.3%) and 12 females (38.7%), mean age 19.2 ± 1.7 years participated in this experiment. Students who worked with cross-sections (n = 16) showed significantly more improvement on test scores than students who worked with GreyMapp-AR (P = 0.035) (n = 15). Further analysis showed that this difference was primarily caused by significant improvement on the cross-sectional questions. Students in the cross-section group, moreover, experienced a significantly higher germane (P = 0.009) and extraneous cognitive load (P = 0.016) than students in the GreyMapp-AR group. No significant differences were found in motivational scores. To conclude, this study suggests that AR applications can play a role in future anatomy education as an add-on educational tool, especially in learning three-dimensional relations of anatomical structures.     

Maximising resource allocation in the teaching laboratory: understanding student evaluations of teaching assistants in a team-based teaching format

Minimal research papers have investigated the use of student evaluations on the laboratory, a learning medium usually run by teaching assistants with little control of the content, delivery and equipment. Finding the right mix of teaching assistants for the laboratory can be an onerous task due to the many skills required including theoretical and practical know-how, troubleshooting, safety and class management. Using larger classes with multiple teaching assistants, a team-based teaching (TBT) format may be advantageous. A rigorous three-year study across twenty-five courses over repetitive laboratory classes is analysed using a multi-level statistical model considering students, laboratory classes and courses. The study is used to investigate the effectiveness of the TBT format, and quantify the influence each demonstrator has on the laboratory experience. The study found that TBT is effective and the lead demonstrator most influential, influencing up to 55% of the laboratory experience evaluation.