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Journal articles

Academic literature on the topic 'Concept scoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 June 2025

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Journal articles on the topic "Concept scoring"

1

CETIN, Bayram, Nese GULER, and Rabia SARICA. "Using Generalizability Theory to Examine Different Concept Map Scoring Methods." Eurasian Journal of Educational Research 16, no. 66 (2016): 1–30. http://dx.doi.org/10.14689/ejer.2016.66.12.

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Longo, Umile Giuseppe, Mauro Ciuffreda, Vincenzo Candela, Alessandra Berton, Nicola Maffulli, and Vincenzo Denaro. "Hip scores: A current concept review." British Medical Bulletin 131, no. 1 (2019): 81–96. http://dx.doi.org/10.1093/bmb/ldz026.

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Abstract Introduction During the past decades, several rating scales have been developed to assess the functional status of patients with hip pain. Source of data A search in Medline, PubMed, Cochrane and CINAHL was performedusing combinations of the following‘hip’, ‘scoring system’, ‘scale’, ‘scores’, ‘outcome assessment’, ‘arthroplasty’, ‘arthroscopy’ and ‘clinical evaluation’. Areas of agreement A total 16 scoring systems are currently available for the evaluation of the hip. Areas of controversy Two types of questionnaires are available: physician-rated and patient-rated questionnaires. Growing points Each hip score consists of different domains. Interpreting these domains becomes sometimes difficult, because, even though they can be common to more than one scoring system, each stresses them in a different way. Areas timely for developing research Although many scoring systems have been used to evaluate hip function, we are still far from a single outcome evaluation system which is reliable, valid and sensitive.

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Harper, Michelle E., Raegan M. Hoeft, A. W. Evans, and Florian G. Jentsch. "Scoring Concepts Maps: Can a Practical Method of Scoring Concept Maps be Used to Assess Trainee's Knowledge Structures?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48, no. 22 (2004): 2599–603. http://dx.doi.org/10.1177/154193120404802219.

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4

Satria, Dhimas, Dovan Pujangga Asmara Lanank Esiswitoyo, Ni Ketut Caturwati, Erny Listijorini, and Rina Lusiani. "Body Design Concept of Remotely Operated Vehicle (ROV) of Observation Class with the Method of Concept Screening and Concept Scoring." MATEC Web of Conferences 218 (2018): 02009. http://dx.doi.org/10.1051/matecconf/201821802009.

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The Remotely Operated Vehicle (ROV) underwater observation equipment has previously been developed, but it had restriction for not being hydrodynamic still due to the unique conditions of the Sunda Strait waters. This study aims to further develop the previously developed ROV by improving the design structure of the ROV body. The method of design concept selection used was concept screening and concept scoring. In concept screening, the initial concept was evaluated relatively to the same preferences using screening matrices. On the other hand the Concept Scoring was conducted by determining the relative performance value which was the assessment used to evaluate how the comparison between concepts and number as the comparison. The result of the study obtained the selected design concept, which was small ROV with streamlined / half-streamlined body geometry which had rear-middle rotor configuration as motion component of hydrodynamic 3 DOF (surge, heave, and yaw).

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Luckie, Douglas, Scott H. Harrison, and Diane Ebert-May. "Model-based reasoning: using visual tools to reveal student learning." Advances in Physiology Education 35, no. 1 (2011): 59–67. http://dx.doi.org/10.1152/advan.00016.2010.

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Using visual models is common in science and should become more common in classrooms. Our research group has developed and completed studies on the use of a visual modeling tool, the Concept Connector. This modeling tool consists of an online concept mapping Java applet that has automatic scoring functions we refer to as Robograder. The Concept Connector enables students in large introductory science courses to visualize their thinking through online model building. The Concept Connector's flexible scoring system, based on tested grading schemes as well as instructor input, has enabled >1,000 physiology students to build maps of their ideas about plant and animal physiology with the guidance of automatic and immediate online scoring of homework. Criterion concept maps developed by instructors in this project contain numerous expert-generated or “correct” propositions connecting two concept words together with a linking phrase. In this study, holistic algorithms were used to test automated methods of scoring concept maps that might work as well as a human grader.

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6

Ormancı, Ümmühan, and Fatma Şaşmaz-Ören. "Assessment of concept cartoons: an exemplary study on scoring." Procedia - Social and Behavioral Sciences 15 (2011): 3582–89. http://dx.doi.org/10.1016/j.sbspro.2011.04.339.

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7

Taricani, Ellen M., and Roy B. Clariana. "A Technique for Automatically Scoring Open-Ended Concept Maps." Educational Technology Research and Development 54, no. 1 (2006): 65–82. http://dx.doi.org/10.1007/s11423-006-6497-z.

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8

Watson, Mary Katherine, Joshua Pelkey, Caroline R. Noyes, and Michael O. Rodgers. "Assessing Conceptual Knowledge Using Three Concept Map Scoring Methods." Journal of Engineering Education 105, no. 1 (2015): 118–46. http://dx.doi.org/10.1002/jee.20111.

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9

YEUNG, HUNG-CHUEN, MING-WEI LU, EDUARDO G. MARTINEZ, and VINOD K. PURI. "Critical Care Scoring System—New concept based on hemodynamic data." Critical Care Medicine 18, no. 12 (1990): 1347–52. http://dx.doi.org/10.1097/00003246-199012000-00007.

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10

Besterfield-Sacre, Mary, Jessica Gerchak, Mary Rose Lyons, Larry J. Shuman, and Harvey Wolfe. "Scoring Concept Maps: An Integrated Rubric for Assessing Engineering Education." Journal of Engineering Education 93, no. 2 (2004): 105–15. http://dx.doi.org/10.1002/j.2168-9830.2004.tb00795.x.

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