410 research outputs found

    Experiences of using an interactive audience response system in lectures

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    BACKGROUND: Lectures are good for presenting information and providing explanations, but because they lack active participation they have been neglected. METHODS: Students' experiences were evaluated after exposing them to the use of voting during lectures in their paediatrics course. Questions were delivered to the students taking paediatrics course. Thirty-six students out of the total of 40 (90%) attended the opening lecture, at which the first survey concerning previous experiences of lectures was performed. Thirty-nine students (98%) answered the second series of questions at the end of the paediatrics course. RESULTS: Most of the students felt that voting improved their activity during lectures, enhanced their learning, and that it was easier to make questions during lectures than earlier. CONCLUSIONS: The students gained new, exciting insights much more often during the paediatrics course than before. We as teachers found that voting during lectures could easily overcome some of the obstacles of good lecturing

    The effect of multiple internal representations on context rich instruction

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    This paper presents n-coding, a theoretical model of multiple internal mental representations. The n-coding construct is developed from a review of cognitive and imaging studies suggesting the independence of information processing along different modalities: verbal, visual, kinesthetic, social, etc. A study testing the effectiveness of the n-coding construct in an algebra-based mechanics course is presented. Four sections differing in the level of n-coding opportunities were compared. Besides a traditional instruction section used as a control group, each of the remaining three treatment sections were given context rich problems following the 'cooperative group problem solving' approach which differed by the level of n-coding opportunities designed into their laboratory environment. To measure the effectiveness of the construct, problem solving skills were assessed as was conceptual learning using the Force Concept Inventory. However, a number of new measures taking into account students' confidence in concepts were developed to complete the picture of student learning. Results suggest that using the developed n-coding construct to design context rich environments can generate learning gains in problem solving, conceptual knowledge and concept-confidence.Comment: Submitted to the American Journal of Physic

    Incorporating Genomics and Bioinformatics across the Life Sciences Curriculum

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    Undergraduate life sciences education needs an overhaul, as clearly described in the National Research Council of the National Academies’ publication BIO 2010: Transforming Undergraduate Education for Future Research Biologists. Among BIO 2010’s top recommendations is the need to involve students in working with real data and tools that reflect the nature of life sciences research in the 21st century [1]. Education research studies support the importance of utilizing primary literature, designing and implementing experiments, and analyzing results in the context of a bona fide scientific question [1–12] in cultivating the analytical skills necessary to become a scientist. Incorporating these basic scientific methodologies in undergraduate education leads to increased undergraduate and post-graduate retention in the sciences [13–16]. Toward this end, many undergraduate teaching organizations offer training and suggestions for faculty to update and improve their teaching approaches to help students learn as scientists, through design and discovery (e.g., Council of Undergraduate Research [www.cur.org] and Project Kaleidoscope [ www.pkal.org])

    Faculty evaluation: Reliability of peer assessments of research, teaching, and service

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    In this paper, assessments of faculty performance for the determination of salary increases are analyzed to estimate interrater reliability. Using the independent ratings by six elected members of the faculty, correlations between the ratings are calculated and estimates of the reliability of the composite (group) ratings are generated. Average intercorrelations are found to range from 0.603 for teaching, to 0.850 for research. The average intercorrelation for the overall faculty ratings is 0.794. Using these correlations, the reliability of the six-person group (the composite reliability) is estimated to be over 0.900 for each of the three areas and 0.959 for the overall faculty rating. Furthermore, little correlation is found between the ratings of performance levels of individual faculty members in the three areas of research, teaching, and service. The high intercorrelations and, consequently, the high composite reliabilities suggest that a reduction in the number of raters would have relatively small effects on reliability. The findings are discussed in terms of their relationship to issues of validity as well as to other questions of faculty assessment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43600/1/11162_2004_Article_BF00991934.pd

    Discrepancy between instructor and student evaluations of instruction: Effect on instructor

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    To find out whether a discrepancy between the instructor's and the student's evaluations of teaching influence teaching, 13 introductory and educational psychology instructors and their students were given a Student Opinion Questionnaire (SOQ) twice: on the fourth week of a fall term and eight weeks after feedback sessions with the instructors. The instructors received feedback on the direction and amount of initial discrepancy. The results showed that the unfavorable discrepant instructors (instructor rating better than students) changed more on skill, feedback, rapport, general teaching ability, and the overall value of the course than the favorably discrepant instructors (student ratings better than instructor). The unfavorably discrepant instructors improved their teaching significantly more than the favorably discrepant instructors.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43863/1/11251_2004_Article_BF00120231.pd
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