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Peijiang Chen; Xueyin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes
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D'Souza, Kelwyn A.; Siegfeldt, Denise V. – Decision Sciences Journal of Innovative Education, 2017
Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Testing Problems
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Ee, Mong Shan; Yeoh, William; Boo, Yee Ling; Boulter, Terry – Studies in Higher Education, 2018
Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies--personalised system of instructions and learning for mastery (LFM)--by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate…
Descriptors: Foreign Countries, Graduate Students, Time Management, Electronic Learning
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Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
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Santana, Josefina C.; García-Santillán, Arturo; Escalera-Chávez, Milka Elena – European Journal of Contemporary Education, 2017
This study explores different variables leading to proficiency in English as a second language. Level of English on a placement exam taken upon entering a private university in Mexico was correlated to several variables. Additionally, participants (N = 218) were asked their perception of their own proficiency. A linear regression and a one-factor…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Student Placement
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Lamberti, Fabrizio; Sanna, Andrea; Paravati, Gianluca; Carlevaris, Gilles – IEEE Transactions on Learning Technologies, 2014
Assessment is a delicate task in the overall teaching process because it may require significant time and may be prone to subjectivity. Subjectivity is especially true for disciplines in which perceptual factors play a key role in the evaluation. In previous decades, computer-based assessment techniques were developed to address the…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Grading
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Pike, Gary R.; Hansen, Michele J.; Childress, Janice E. – Journal of College Student Retention: Research, Theory & Practice, 2014
The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…
Descriptors: Student Characteristics, Educational Experience, Correlation, Expectation
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Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
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Sopina, Elizaveta; McNeill, Rob – Assessment & Evaluation in Higher Education, 2015
Feedback can have a great impact on student learning. However, in order for it to be effective, feedback needs to be of high quality. Electronic marking has been one of the latest adaptations of technology in teaching and offers a new format of delivering feedback. There is little research investigating the impact the format of feedback has on…
Descriptors: Higher Education, Feedback (Response), Delivery Systems, Computer Assisted Testing
Burrow, Susan C. – ProQuest LLC, 2013
The purpose of this quantitative study was to determine if a relationship existed between success in elementary algebra and a set of predictor variables including COMPASS score and high school GPA. Relationships for intermediate algebra and college credit accumulation over three semesters were also examined with COMPASS score and high school GPA…
Descriptors: Statistical Analysis, Standardized Tests, Correlation, Algebra
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Jamieson, Joan; Poonpon, Kornwipa – ETS Research Report Series, 2013
Research and development of a new type of scoring rubric for the integrated speaking tasks of "TOEFL iBT"® are described. These "analytic rating guides" could be helpful if tasks modeled after those in TOEFL iBT were used for formative assessment, a purpose which is different from TOEFL iBT's primary use for admission…
Descriptors: Oral Language, Language Proficiency, Scaling, Scores
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Attali, Yigal; Bridgeman, Brent; Trapani, Catherine – Journal of Technology, Learning, and Assessment, 2010
A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Test Scoring Machines
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McDearmon, J. Travis; Shirley, Kathryn – International Journal of Educational Advancement, 2009
This study examined the results of an institutional survey conducted by the Annual Giving Office at a large public university in the Midwest. Overall, 2,273 young alumni participated in an online survey that assessed personal and institutional factors related to an alumna's willingness to make donations to the university. The results of the study…
Descriptors: Donors, Alumni, Multiple Regression Analysis, Surveys
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Glew, David; Meyer, Tracy; Sawyer, Becky; Schuhmann, Pete; Wray, Barry – Journal of Effective Teaching, 2011
Business schools are often criticized for the inadequate writing skills of their graduates. Improving writing skills involves first understanding the current skill level of students. This research attempts to provide insights into the effectiveness of the current method of assessing writing skills in a school of business at a large regional…
Descriptors: Undergraduate Students, Business Administration Education, Business Schools, Writing Skills
Mircea-Pines, Walter J. – ProQuest LLC, 2009
This dissertation study examined the reliability and validity claims of a modified version of the Spanish Modern Language Association Foreign Language Proficiency Test for Teachers and Advanced Students administered at George Mason University (GMU). The study used the 1999 computerized GMU version that was administered to 277 test-takers via…
Descriptors: College Students, Advanced Students, Second Language Learning, Test Validity
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