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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
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
Weiner, John A.; Hurtz, Gregory M. – Journal of Applied Testing Technology, 2017
Advances in technology have spurred innovations in secure assessment delivery. One such innovation, remote online proctoring, has become increasingly sophisticated and is gaining wider consideration for high-stakes testing. However, there is an absence of published research examining remote online proctoring and its effects on test scores and the…
Descriptors: Comparative Analysis, Computer Assisted Testing, High Stakes Tests, Supervision
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
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
Wei, Wei; Zheng, Ying – Computer Assisted Language Learning, 2017
This research provided a comprehensive evaluation and validation of the listening section of a newly introduced computerised test, Pearson Test of English Academic (PTE Academic). PTE Academic contains 11 item types assessing academic listening skills either alone or in combination with other skills. First, task analysis helped identify skills…
Descriptors: Listening Comprehension Tests, Computer Assisted Testing, Language Tests, Construct Validity
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
Foorman, Barbara R.; Petscher, Yaacov; Stanley, Christopher; Truckenmiller, Adrea – Journal of Research on Educational Effectiveness, 2017
The objective of this study was to determine the latent profiles of reading and language skills that characterized 7,752 students in kindergarten through tenth grade and to relate the profiles to norm-referenced reading outcomes. Reading and language skills were assessed with a computer-adaptive assessment administered in the middle of the year…
Descriptors: Reading Comprehension, Statistical Analysis, Computer Assisted Testing, Adaptive Testing
Shapiro, Edward S.; Dennis, Minyi Shih; Fu, Qiong – School Psychology Quarterly, 2015
The purpose of the study was to compare the use of a Computer Adaptive Test and Curriculum-Based Measurement in the assessment of mathematics. This study also investigated the degree to which slope or rate of change predicted student outcomes on the annual state assessment of mathematics above and beyond scores of single point screening…
Descriptors: Computer Assisted Testing, Adaptive Testing, Curriculum Based Assessment, Mathematics Tests
Zou, Xiaoling; Zhang, Xuning – Computers & Education, 2013
A new score report based on a mechanism of formative assessment and feedback is developed to offer individual testees not only their final scores but also their sub-scale scores, their percentile position, as well as corresponding feedback on self-regulation strategies. Structural equation modeling is adopted in the confirmatory factor analysis to…
Descriptors: Formative Evaluation, Feedback (Response), Computer Assisted Testing, Learning Strategies
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
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
Crossley, Scott; Clevinger, Amanda; Kim, YouJin – Language Assessment Quarterly, 2014
There has been a growing interest in the use of integrated tasks in the field of second language testing to enhance the authenticity of language tests. However, the role of text integration in test takers' performance has not been widely investigated. The purpose of the current study is to examine the effects of text-based relational (i.e.,…
Descriptors: Language Proficiency, Connected Discourse, Language Tests, English (Second Language)
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
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
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