scholarly journals On the Dynamic Adaptation of Computer Assisted Assessment of Free-Text Answers

2006 ◽  
pp. 374-377 ◽  
Author(s):  
Diana Pérez-Marín ◽  
Enrique Alfonseca ◽  
Pilar Rodríguez
Keyword(s):  
Dynamic Adaptation ◽  
Computer Assisted ◽  
Free Text

Adaptive Computer Assisted Assessment

2010 ◽  
pp. 154-173
Author(s):  
Diana Pérez-Marín ◽  
Ismael Pascual-Nieto ◽  
Pilar Rodríguez
Keyword(s):  
Language Processing ◽  
Scoring Systems ◽  
Processing Technique ◽  
Computer Assisted ◽  
Student Modeling ◽  
Free Text ◽  
Automatic Assessment ◽  
Teachers And Students ◽  
The Will ◽  
Educational Hypermedia

This chapter introduces the reader in the fields of automatic assessment of free-text students’ answers, student modeling and adaptive educational hypermedia. Traditionally, these fields have been studied separately missing the benefits of their synergic combination (i.e., free-text scoring systems which do not keep any student model, and adaptive educational hypermedia systems which do not use any natural language processing technique). In particular, a procedure to automatically generate students’ conceptual models from their answers to a free-text adaptive computer assisted assessment system will be fully described, together with its implementation in the will tools. Furthermore, the authors will explore how useful this new possibility of hybrid learning is both for teachers and students in two case studies carried out during the 2006-2007 and 2007-2008 academic years, in which traditional lessons were combined with the use of the Will Tools both in technical and non-technical domains.

Computer-assisted de-identification of free text in the MIMIC II database

2005 ◽  
Author(s):  
M. Douglass ◽  
G.D. Clifford ◽  
A. Reisner ◽  
G.B. Moody ◽  
R.G. Mark
Keyword(s):  
Computer Assisted ◽  
Free Text

Computer-Assisted Research of Medical Records

1970 ◽  
Vol 09 (03) ◽  
pp. 171-176
Author(s):  
L. J. Schneiderman ◽  
M. Baylor
Keyword(s):  
Information Retrieval ◽  
Physical Examination ◽  
Student Teaching ◽  
Medical Records ◽  
University Hospital ◽  
Computer Assisted ◽  
Free Text ◽  
Text Mode ◽  
Statistical Studies ◽  
Hospital Clinic

The Facilitated Access File, described herein, has proved to be an acceptable, relatively simple, yet feasible strategy for general medical record information retrieval at a university hospital clinic. Physicians record physical examination data in free-text mode, then through a rapid exercise of judgment, create an index to these data which is computer-stored. Such an index file provides future investigators facilitated access back to the original handwritten data and permits a variety of statistical studies. The system has been in use for over a year and has proved to be of value in clinical research and student teaching.

Automated Assessment of Short One-Line Free-Text Responses With Identifying Word Ordering

2014 ◽  
pp. 164-170
Author(s):  
Navjeet Kaur ◽  
Kiran Jyoti
Keyword(s):  
Evaluation System ◽  
Evaluation Criteria ◽  
Educational Process ◽  
Assessment System ◽  
Student Response ◽  
Computer Assisted ◽  
Free Text ◽  
Multiple Choice Questions ◽  
Short Text ◽  
Objective Testing

Assessment is an important activity in any educational process to evaluate the learner’s knowledge about the concepts learnt.. Evaluation through objective testing is common in all evaluation system, where Multiple Choice Questions, Fill in the Blanks, Matching etc. are used for evaluation. The method of objective testing is not sufficient to completely verify all the concepts learnt by the learner. Thus computer assisted assessment of short text answers is developed. Here we present a technique which also considers grammatical errors during automated evaluation of oneline sentence. In this paper we have define a set of evaluation criteria that covers all the relevant aspects of an essay assessment system and discussion on how this technique find syntactical errors during evaluation of student response.

Computer-assisted assessment of free-text answers

2009 ◽  
Vol 24 (4) ◽  
pp. 353-374 ◽  
Author(s):  
Diana Pérez-Marín ◽  
Ismael Pascual-Nieto ◽  
Pilar Rodríguez
Keyword(s):  
Assessment Methods ◽  
Second Opinion ◽  
Computer Assisted ◽  
Free Text ◽  
Automatic Assessment ◽  
Ideal System ◽  
Computer Based ◽  
Complex Computer ◽  
State Of Art ◽  
The Ideal

AbstractThe automatic assessment of students’ free-text answers has recently received much attention, due to the necessity of exploring and taking advantage of new and more complex computer-based assessment methods. In this paper, a review of the state-of-art of the field is presented, focusing on the techniques that underpin these systems and their evaluation metrics. Although there is still a long way to go so as to reach the ideal system, the fact that the existing systems are already being used commercially and as a second opinion in exams such as GMAT proves the uptake of this field.

scholarly journals Computer-assisted textual analysis of free-text comments in the Swiss Cancer Patient Experiences (SCAPE) survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chantal Arditi ◽  
Diana Walther ◽  
Ingrid Gilles ◽  
Saphir Lesage ◽  
Anne-Claude Griesser ◽  
...  
Keyword(s):  
Cancer Patient ◽  
Cancer Care ◽  
Textual Analysis ◽  
Questionnaire Development ◽  
Patient Experiences ◽  
Computer Assisted ◽  
Free Text ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Patient Reported

Abstract Background Patient experience surveys are increasingly conducted in cancer care as they provide important results to consider in future development of cancer care and health policymaking. These surveys usually include closed-ended questions (patient-reported experience measures (PREMs)) and space for free-text comments, but published results are mostly based on PREMs. We aimed to identify the underlying themes of patients’ experiences as shared in their own words in the Swiss Cancer Patient Experiences (SCAPE) survey and compare these themes with those assessed with PREMs to investigate how the textual analysis of free-text comments contributes to the understanding of patients’ experiences of care. Methods SCAPE is a multicenter cross-sectional survey that was conducted between October 2018 and March 2019 in French-speaking parts of Switzerland. Patients were invited to rate their care in 65 closed-ended questions (PREMs) and to add free-text comments regarding their cancer-related experiences at the end of the survey. We conducted computer-assisted textual analysis using the IRaMuTeQ software on the comments provided by 31% (n = 844) of SCAPE survey respondents (n = 2755). Results We identified five main thematic classes, two of which consisting of a detailed description of ‘cancer care pathways’. The remaining three classes were related to ‘medical care’, ‘gratitude and praise’, and the way patients lived with cancer (‘cancer and me’). Further analysis of this last class showed that patients’ comments related to the following themes: ‘initial shock’, ‘loneliness’, ‘understanding and acceptance’, ‘cancer repercussions’, and ‘information and communication’. While closed-ended questions related mainly to factual aspects of experiences of care, free-text comments related primarily to the personal and emotional experiences and consequences of having cancer and receiving care. Conclusions A computer-assisted textual analysis of free-text in our patient survey allowed a time-efficient classification of free-text data that provided insights on the personal experience of living with cancer and additional information on patient experiences that had not been collected with the closed-ended questions, underlining the importance of offering space for comments. Such results can be useful to inform questionnaire development, provide feedback to professional teams, and guide patient-centered initiatives to improve the quality and safety of cancer care.

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