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Rajagopal Sankaranarayanan; Mohan Yang; Kyungbin Kwon – Journal of Computing in Higher Education, 2025
The purpose of this study is to explore the influence of the microlearning instructional approach in an online introductory database programming classroom. The ultimate goal of this study is to inform educators and instructional designers on the design and development of microlearning content that maximizes student learning. Grounded within the…
Descriptors: Teaching Methods, Introductory Courses, Databases, Programming
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Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
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José I. Castillo-Manzano; Mercedes Castro-Nuño; Lourdes López-Valpuesta; María Teresa Sanz-Díaz; Rocío Yñiguez – Journal of Computing in Higher Education, 2024
Evaluation is a crucial part of the teaching and learning process in any higher education institution and one that has gone through a deep change. This has been particularly true since the Bologna Declaration (http://www.ehea.info/page-ministerial-conference-bologna-1999, 1999) ushered in the European higher education area, with the subsequent…
Descriptors: Higher Education, Academic Achievement, Computer Assisted Testing, Student Evaluation
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Thampy, Harish; Collins, Sarah; Baishnab, Elora; Grundy, Jess; Wilson, Kurt; Cappelli, Timothy – Journal of Computing in Higher Education, 2023
As a result of the COVID-19 pandemic, medical education institutions were suddenly and unexpectedly faced with making significant changes in delivering their clinical assessments to comply with social distancing requirements and limited access to clinical education centres. Seeking a potential solution to these new circumstances, we designed,…
Descriptors: Medical Education, Decision Making, Electronic Learning, Technology Uses in Education
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Lee, Eunbae; Harris, R. Lainie Wilson – Journal of Computing in Higher Education, 2018
While understanding of domain specific vocabularies is essential in content learning, little research informs teaching practices for glossary learning. This study examines the relationship among vocabulary learning, student autonomy, and course performance through the theoretical framework of self-determination theory and second language…
Descriptors: Computer Assisted Testing, Glossaries, Personal Autonomy, Vocabulary Development
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Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth; Kalz, Marco – Journal of Computing in Higher Education, 2017
The number of students engaged in Massive Open Online Courses (MOOCs) is increasing rapidly. Due to the autonomy of students in this type of education, students in MOOCs are required to regulate their learning to a greater extent than students in traditional, face-to-face education. However, there is no questionnaire available suited for this…
Descriptors: Online Courses, Independent Study, Questionnaires, Likert Scales
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Lafuente Martínez, Marc; Álvarez Valdivia, Ibis M.; Remesal Ortiz, Ana – Journal of Computing in Higher Education, 2015
This paper aims to explore the role of e-assessment in making the learning process more visible to the instructor, while revealing its impact on the adjustment of ensuing feedback. We carried out a qualitative analysis of two different cases at two different tertiary institutions. One case took place in a virtual mode, the other developed in…
Descriptors: Computer Assisted Testing, Educational Technology, Qualitative Research, College Faculty
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Derouza, Eros; Fleming, Matthew – Journal of Computing in Higher Education, 2003
Compared undergraduates who took online quizzes using Mallard with students taking traditional paper-and-pencil quizzes. Found that Mallard students performed significantly better on in-class exams than non-Mallard students. (EV)
Descriptors: Academic Achievement, Comparative Analysis, Computer Assisted Testing, Higher Education
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Gibbs, William J. – Journal of Computing in Higher Education, 1997
A study of the effects of reward structures on the ability of students to evaluate the correctness of their responses to open-ended questions in a computer-based instruction lesson found students' ability to evaluate responses was influenced by their incentive to achieve. In most cases, expert evaluators and students concurred. Order of item…
Descriptors: College Instruction, College Students, Computer Assisted Instruction, Computer Assisted Testing
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Gibbs, William J. – Journal of Computing in Higher Education, 1995
This study compared the effects of five constructed response answer evaluation strategies on both student achievement and instructional time during computer-based learning: (1) computerized evaluation only; (2) student self-evaluation; (3) computerized and self-evaluation; (4) self-evaluation with required elaboration; and (5) computer and…
Descriptors: Classroom Techniques, College Students, Comparative Analysis, Computer Assisted Instruction