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Effects of Digital Audio Quality on Students' Performance in LAN Delivered English Listening Comprehension TestsYang, Xiangui 24 April 2009 (has links)
No description available.
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Students& / #8217 / Perceptions About Online Assessment : A Case StudySanli, Refik 01 September 2003 (has links) (PDF)
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ABSTRACT
STUDENTS& / #8217 / PERCEPTIONS ABOUT ONLINE
ASSESSMENT : A CASE STUDY
Sanli, Refik
M.S. Department of Computer Education and Instructional Technology
Supervisor : Prof. Dr. M. YaSar Ö / ZDEN
SEPTEMBER 2003 ,105 pages
For many reasons, the use of computer based of assessment is increasing.
Although there is an increasing usage of computer based exams, there are not
enough researches about student perception towards online assessment in general
and perception of students towards categorized fields of online assessment
systems.
To figure out the students& / #8217 / perceptions of online assessment an exam web
site has been developed and implemented. This web site is a database driven web
site and containing multiple choice questions. This online assessment site used as
assessment module of Masaü / stü / Yayincilik course given by Department of
Computer Education, Kocaeli University. The perceptions of the students& / #8217 / towards online assessment have been evaluated in terms of User interface,
Impacts on learning process, System usage and general opinions on online
assessment.
The aim of the study is to investigate students& / #8217 / perceptions of the use of
CAA and to investigate the potential for using student feedback in the validation
of assessment.
The results indicated that students have positive attitudes against online
assessment. Results of questionnaires showed that user interface of the assessment
web site is proper and well designed but need to be further development. The
system use of the web site is easy. The impacts of the learning progress of the web
site are sufficient but assessment web site should be developed by enriching the
system components meeting the student needs. Security should be ensured.
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Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality MeasurementLeeson, Heidi Vanessa January 2008 (has links)
Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.
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Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality MeasurementLeeson, Heidi Vanessa January 2008 (has links)
Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.
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Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality MeasurementLeeson, Heidi Vanessa January 2008 (has links)
Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.
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Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality MeasurementLeeson, Heidi Vanessa January 2008 (has links)
Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.
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