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Wray, Barry; Glew, David; Burrus, Robert; Hill, Stephen; Schuhmann, Peter – Journal of Education for Business, 2020
Standards for accreditation by the Association to Advance Collegiate Schools of Business emphasize the assessment of student learning as an avenue to continuously improve business school curricula. The study reported here, which took place in an Association to Advance Collegiate Schools of Business-accredited business school in a mid-sized…
Descriptors: Business Schools, College Outcomes Assessment, Core Curriculum, Student Evaluation
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Li, Shaofeng; Qian, Jiancheng – Studies in Second Language Acquisition, 2021
This study investigates the validity of syntactic priming as a measure of implicit language aptitude. Syntactic priming refers to the tendency to reproduce a linguistic structure due to a previous exposure to the structure. The validity of the construct was verified by collating evidence for divergent validity--whether it is dissociable from…
Descriptors: Syntax, Priming, Language Aptitude, Construct Validity
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Morell, Monica; Yang, Ji Seung; Gladstone, Jessica R.; Turci Faust, Lara; Ponnock, Annette R.; Lim, Hyo Jin; Wigfield, Allan – Journal of Educational Psychology, 2021
"Grit" is defined as passion and perseverance for achieving long-term goals and consists of two proposed subcomponents: consistency of interests and perseverance of effort. It has become a much-discussed construct even though research on its underlying factor structure has produced inconclusive results. Furthermore, grit as measured by…
Descriptors: Persistence, Goal Orientation, Factor Structure, Predictive Validity
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Eglington, Luke G.; Pavlik, Philip I., Jr. – Journal of Educational Data Mining, 2019
In recent years, there has been a proliferation of adaptive learner models that seek to predict student correctness. Improvements on earlier models have shown that separate predictors for prior successes, failures, and recent performance further improve fit while remaining interpretable. However, students who engage in "gaming" or other…
Descriptors: College Students, Student Behavior, Models, Goodness of Fit
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2019
In recent years, there has been a proliferation of adaptive learner models that seek to predict student correctness. Improvements on earlier models have shown that separate predictors for prior successes, failures, and recent performance further improve fit while remaining interpretable. However, students who engage in "gaming" or other…
Descriptors: College Students, Student Behavior, Models, Goodness of Fit
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Horng, Ruey-Yun; Wang, Ching-Wen; Yen, Yung-Chieh; Lu, Chia-Ying; Li, Chien-Tao – Creativity Research Journal, 2021
Conceptual combination is proposed as the mental activity by which imagination produces new ideas in creative processes. Two parallel forms of the imagination test were constructed based on conceptual combination theory. Each test comprises eighteen unrelated noun-noun pairs. For each pair, an original idea is required. The test-retest reliability…
Descriptors: Imagination, Alternative Assessment, Creativity Tests, Cognitive Processes
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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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Corradi, David; Nicolaï, Jonas; Levrau, François – Higher Education: The International Journal of Higher Education Research, 2019
A wide range of mindset interventions has been designed to tackle the educational gap and improve the academic achievements of underperforming students. These interventions often target small student samples in experimental or homogeneous educational settings. This paper will explicitly emphasize the role of context in the relationship between…
Descriptors: Academic Achievement, Student Motivation, College Students, Foreign Countries
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Kishabale, Bashir – International Journal of Education and Development using Information and Communication Technology, 2021
The current study, guided by the cross-sectional survey method, assessed interface design quality, and its predictive ability on E-learners' post-adoption behavior in E-learning course environments. DeLone and McLean's Information Systems Success Model, Khan's E-learning Framework, and Bhattacherjee's Information System Continuance Model formed…
Descriptors: Electronic Learning, Computer Interfaces, Design, Predictive Validity
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Skordi, Panayiotis; Fraser, Barry J. – Learning Environments Research, 2019
Considerable past classroom learning environment research has focused on the primary and secondary levels of education and the subject areas of science and mathematics. The current study is distinctive in its focus on university business statistics learning environments. For the first time, we validated and applied the widely-used What Is…
Descriptors: Questionnaires, Statistics, Classroom Environment, Business Administration Education
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Harmon, Jon; Warnakulasooriya, Rasil – International Educational Data Mining Society, 2019
The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…
Descriptors: Electronic Learning, Factor Analysis, Goodness of Fit, Item Response Theory
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Alkharusi, Hussain Ali; Al Sulaimani, Humaira; Neisler, Otherine – International Journal of Instruction, 2019
Critical thinking is necessary for academic success in higher education. Hence, universities seek various ways to integrate it in the programs to enhance the productivity of their graduates. This study presents the development of a predictive model for critical thinking ability using a combination of background, demographic, and psycho-educational…
Descriptors: Critical Thinking, Thinking Skills, College Students, Foreign Countries
Samlan, Hillel – ProQuest LLC, 2019
College students experiencing psychological distress are at unique risk for negative academic outcomes. The Counseling Center Assessment of Psychological Symptoms-62 (CCAPS-62; Locke et al., 2011) is a multidimensional symptom inventory designed for use in college counseling centers. However, the relationships between the CCAPS-62 and functional…
Descriptors: College Students, Stress Variables, Symptoms (Individual Disorders), Measures (Individuals)
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Holdershaw, Judith; Melnyk, Valentyna; Gendall, Philip; Wright, Malcolm – International Journal of Social Research Methodology, 2018
Despite years of refinement and improvement to questionnaire design, the need remains to identify effective, but 'user-friendly' questioning procedures to predict behaviour, without compromising predictive performance. Questionnaires developed to predict behaviour typically use an attitudinal approach. However, those types of questionnaires are…
Descriptors: Behavior Theories, Predictor Variables, Comparative Analysis, College Students
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Mattern, Krista; Sanchez, Edgar; Ndum, Edwin – Educational Measurement: Issues and Practice, 2017
In the context of college admissions, the current study examined whether differential prediction of first-year grade point average (FYGPA) by gender could be explained by an omitted variable problem--namely, academic discipline, or the amount of effort a student puts into schoolwork and the degree to which a student sees him/herself as hardworking…
Descriptors: Females, Academic Achievement, Predictive Validity, Grade Point Average
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