1 edition of Development of a scale for assessing the level of computer familiarity of TOEFL examinees found in the catalog.
Development of a scale for assessing the level of computer familiarity of TOEFL examinees
|Statement||Daniel Eignor ... [et al.].|
|Series||TOEFL research reports ;, rept. 60|
|Contributions||Eignor, Daniel R.|
|LC Classifications||PE1128.A2 D44 1998|
|The Physical Object|
|Pagination||vi, 32 p. ;|
|Number of Pages||32|
|LC Control Number||98198043|
Access to society journal content varies across our titles. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. laid the groundwork for the development of TOEFL iBT was launched. With the release of TOEFL iBT, a TOEFL iBT report series has been introduced. and minimal relationships with computer familiarity, preparation for the test, and experience with admissions tests. the aims of the new investigation were threefold: (a) to assess examinees’.
Examining the relationship between computer familiarity and performance on computer-based language tasks. Language Learning, 49(2), Temple, L., & Lips, H. M. (). Gender differences and similarities in attitudes toward computers. Computers in Human Behavior, 5, TOEFL. (). Description of the Computer-Based TOEFL Test. computer-based TOEFL test: the new format, the new score scale and information about the interpretation of the new scores, the administration of the test, and program research activities and new testing developments. In July of , the computer-based TOEFL test was introduced in many areas of the world. It.
The planned introduction of a computer‐based Test of English as a Foreign Language (TOEFL) test raises concerns that language proficiency will be confounded with computer proficiency, introducing construct‐irrelevant variance to the measurement of examinees' English‐language abilities. We administered a questionnaire focusing on examinees' computer familiarity to 90, TOEFL . Speaking scores: express how well the examinees can speak the language being tested Scales: express the developers’ understanding of how good performances differ from weak ones, they form part of their definition of the construct assessed in the test Rating scale and scoring rubric are used interchangeable and they both refer to “a set of.
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The relationship between level of computer familiarity and performance on the computer-based items was then examined. The examinees in Phase II were largely representative of those in Phase I, who were representative of the general TOEFL test-taking population.
The increasing use of computer-based testing raises concerns about equity and bias. Specifically, many in the field of language testing are concerned that the introduction of a computer-based TOEFL test in may introduce bias by confounding the measurement of English-language proficiency with level of computer familiarity.
An Initial Development and Validation of Tablet Computer Familiarity Questionnaire. Taylor, and D. Eignor, Computer familiarity among TOEFL examinees. Educational Testing Service Princeton, NJ, C.
Taylor, I. Kirsch, and J. Jamieson, Development of a scale for assessing the level of computer familiarity of TOEFL examinees Cited by: 3.
TOEFL examinees into were classified into one of three groups according to their level of familiarity with computers: low, moderate, or high. Overall, some 16% of the TOEFL population was judged to have low computer familiarity, another 34% to have moderate familiarity, and approximately 50% to have high familiarity.
In a Phase I study (Kirsch, Jamieson, Taylor, & Eignor, ), TOEFL examinees were surveyed regarding their computer familiarity and classified into one of three computer familiarity.
Development of a Scale for Assessing the Level of Computer Familiarity of TOEFL Examinees. Article. the measurement of English-language proficiency with level of computer familiarity.
As the. A group of 1, “low-computer-familiar” and “high-computer-familiar” examinees from 12 international sites worked through a computer tutorial and a set of 60 computer-based TOEFL.
SCOTT-BOOK: More. On the Shelf. Computer familiarity among TOEFL examinees / Irwin Kirsch [et al.]. PE A2 T64 NO Development of a scale for assessing the level of computer familiarity of TOEFL examinees / Daniel Eignor [et al.].
PE A2 T64 NO. Development of a scale for assessing the level of computer familiarity of TOEFL examinees. Princeton: Educational Testing Service. Google Scholar Frand, J. The information-age mindset: Changes in students and implications for higher education.
Computer familiarity among TOEFL examinees. Princeton: Educational Testing Service. D. Eignor, C. Taylor, I. Kirsch, J. JamiesonDevelopment of a scale for assessing the level of computer familiarity of TOEFL examinees (TOEFL Research Report 60; ETS Research Report ) Educational Testing Service, Princeton, NJ ().
Development of a Scale for Assessing the Level of Computer Familiarity of TOEFL Examinees. be used together as a score to separate TOEFL examinees into levels of computer familiarity.
The. Two separate reports (Kirsch et al.,Eignor et al., ) provide detailed discussions of the procedures used to develop the questionnaire and the computer familiarity scale as well as the profile of TOEFL examinees with respect to their level of computer familiarity.
The protocol instrument is available from the first author upon. Development of a Scale for Assessing the Level of Computer Familiarity of TOEFL Examinees Daniel Eignor Carol Taylor Irwin Kirsch Joan Jamieson.
Cover Printed on Recycled Paper • U37P.5 • • Printed in U.S.A. Created Date. Development of a scale for assessing the level of computer familiarity of TOEFL examinees (ETS Research Report ). Princeton, New Jersey: Educational Testing Service.
Speaking samples are recorded with a headset and microphone at the examinee’s computer. • iTEP Academic-Core is also available in a paper-based format.
iTEP Academic Structure In each section, examinees will encounter content and questions targeted to varying levels of proficiency. A Grammar (Structure) — 10 minutes/ two parts. Part 1. different classes immediately (Weiss, ); because through the flexi-level strategy, examinees do not need to answer a large number of questions which are too difficult or too easy for them.
In fact, in computer adaptive tests, the examinees can be given different tests which are appropriate for their own specific level (Larson and Madsen, ).
Development of a scale for assessing the level of computer familiarity of TOEFL examinees D Eignor, C Taylor, I Kirsch, J Jamieson ETS Research Report Series (1), i, This review article surveys recent developments and validation activities related to four large-scale tests of L2 English ability: the iBT TOEFL, the IELTS, the FCE, and the TOEIC.
In addition to describing recent changes to these tests, the paper reports on validation activities that were conducted on the measures.
The study of a scale’s item-level measurement invariance is of fundamental importance in psychometric research.
In order for test scores (either observed raw scale scores or estimates of the levels of the latent trait) to be comparable across various groups of examinees, those scores must be on the same measurement scale. Source Df F Sig. mode * computer familiarity scale Sphericity Assumed 1 mode * computer attitudes scale Sphericity Assumed 1 Monirosadat Hosseini et al.
/ Procedia - Social and Behavioral Sciences 98 () Based on the results of the current study, the Iranian English students showed positive attitudes towards. multi-item, multi-subscale, interval-level scales. Figure 1 lists the seven steps necessary to produce reliable and valid scales. The following sections cover each of the steps of scale development in greater detail.
Step 1. Item Generation. The scale development process begins with the creation of items to assess a construct under examination.academic optimism, professional development outcomes, instructional practices outcomes, performance outcomes, and satisfaction outcomes.
Team-level variables include PLC team professional development out comes, group dynamics outcomes, group dynamics processes, and PLC team culture. School/student-level variables include knowledge outcomes.computer familiarity includes: " experience, frequency of use, type of use, number of courses involving computers, owning a computer, access to computers, attitudes towards computers, and related technologies".
Taylor et al () constructed a measure of computer familiarity. They believed that computer familiarity is a factor.