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Jie Zhang; Marcie Desrochers; Michael Fensken – International Journal of Teaching and Learning in Higher Education, 2023
Feedback is an important component of online instruction. Few experiments have examined combined types of feedback (teacher feedback or student self-assessment) compared to extra practice with each on student learning. In this study, the experimental effectiveness of four methods of feedback delivery on students' acquisition of behavioral…
Descriptors: Student Evaluation, Self Evaluation (Individuals), Feedback (Response), Skill Development
Kathleen M. Quinlan; Guadalupe Sellei; Wissia Fiorucci – Teaching in Higher Education, 2025
With increasing calls for authentic assessment in higher education, the reference point for authenticity has been questioned. Typically, researchers define authenticity in relation to purposes of higher education, which are contested. Advancing the notion of educational authenticity rather than professional, societal, disciplinary, or…
Descriptors: Educational Assessment, Performance Based Assessment, Learner Engagement, Higher Education
Thomas Wanner; Edward Palmer; Daniel Palmer – Teaching in Higher Education, 2024
This paper discusses a two-year study at an Australian university in which 154 undergraduate and 51 postgraduate students reflected on their experiences with flexible and personalised assessment where they could choose assessment tasks, submission dates and weightings of their assignments. Through pre- and post-course surveys and a focus group,…
Descriptors: Foreign Countries, College Students, Student Evaluation, Student Attitudes
Torrisi-Steele, Geraldine; Junior, Guido Carim; Morrison, Clare; Venema, Sven; Co, Jomelson – International Journal of Adult Education and Technology, 2023
In higher education, the role of assessment has evolved from serving only the purpose of evaluation of the outcomes of the learning process to assessment as part of the learning purposes. Summative or formative, the potential of assessment to facilitate learning is now recognised. Feedback is one of the most influential factors on learning but is…
Descriptors: Feedback (Response), Written Language, Student Evaluation, College Students
Chukwudi Ikwueze – Educational Research Quarterly, 2024
The U.S. Department of Education advocates strongly using assessment of student learning as a means of maintaining high standards of education. Instructors use mostly multiple choice and discussion questions as assessment tools. The aim of this study was to evaluate the effectiveness of multiple-choice and discussion questions and participant…
Descriptors: Economics Education, Introductory Courses, Multiple Choice Tests, Student Evaluation
Antti Kauppinen – Sport Management Education Journal, 2025
Introducing ChatGPT offered higher education students a chance to use artificial intelligence to automatically generate assignment texts, and some might cheat in behaviorist tasks by using generative artificial intelligence. However, the introduction of ChatGPT could also lead instructors to expect more (rather than less) academic integrity in…
Descriptors: Artificial Intelligence, College Students, Technology Uses in Education, Athletics
Harper, Rowena; Bretag, Tracey; Rundle, Kiata – Higher Education Research and Development, 2021
This article contributes to an emerging body of research on the role of assessment design in the prevention and detection of contract cheating. Drawing on the largest contract cheating dataset gathered to date (see cheatingandassessment.edu.au), this article examines the types of assignments and exams in which students self-reported having engaged…
Descriptors: Cheating, Identification, College Students, College Faculty
Vince Mitchell; Erica Borgstrom; Sam Murphy; Charlene Campbell; Sandy Sieminski; Sandy Fraser – Assessment & Evaluation in Higher Education, 2024
This study explores the experiences of five distance learners at a UK university who needed support to resubmit their final assignment following a fail result. Having received written feedback on the submission, we asked how this could be best delivered to inform and motivate a successful resubmission. Written feedback alone was found to be…
Descriptors: Distance Education, Foreign Countries, Academic Failure, Assignments
Catherine A. Cherrstrom; Carrie J. Boden; Todd Sherron – Journal of Continuing Higher Education, 2024
This study examined nontraditional students using linguistic inquiry and word count (LIWC) of their reflective writing assignments. Participants included 364 adult students enrolled in a degree completion program. Data comprised a multiweek reflective writing assignment and demographic data, linguistically and statistically analyzed. The study…
Descriptors: Nontraditional Students, Credits, Prior Learning, Logical Thinking
Nicole Schutte; Zhandi van Zyl – Perspectives in Education, 2023
In this conceptual paper, borne from the experiences of two academic literacy lecturers at the NWU, we ask, regarding elements of assessment, how we can sensibly adapt an intervention-style writing course in a post-COVID higher education context. We propose a course correction model, applicable to academic literacy writing courses, to address the…
Descriptors: Writing Assignments, Reflection, COVID-19, Pandemics
Hutchings, Pat – National Institute for Learning Outcomes Assessment, 2018
Over the last several years, National Institute for Learning Outcomes Assessment (NILOA) has worked with faculty from around the country to build an online library of assignments that both foster and provide evidence of student learning. The Library is now approaching 80 entries and growing. A number of those assignments include an explicit…
Descriptors: Reflection, Assignments, College Students, Student Evaluation
Dawson, Phillip; Sutherland-Smith, Wendy – Assessment & Evaluation in Higher Education, 2019
Contract cheating occurs when students outsource assessed work. In this study, we asked experienced markers from four disciplines to detect contract cheating in a set of 20 discipline-specific assignments. We then conducted a training workshop to improve their detection accuracy, and afterwards asked them to detect contract cheating in 20 new…
Descriptors: Cheating, Accuracy, Training, Evaluators
Yunus, Muhammad; Amirullah, Amirullah; Safiah, Intan; Ridha, Syahrul; Suartama, I Kadek – Cypriot Journal of Educational Sciences, 2022
This study aims to develop an online-based collaborative project learning model design that can improve students' abilities in developing teaching materials. The method used is research and development. Data collection instruments are questionnaires and rubrics. Data analysis used descriptive statistics. The validation test used the individual…
Descriptors: Instructional Materials, Material Development, Student Developed Materials, Cooperative Learning
Demir, Bora; Sönmez, Görsev – Journal of Language and Linguistic Studies, 2021
Today it is widely accepted that people perceive the world according to social, cultural, and economic conditions of the date range that they were born in. The term generation is used to define people born around the same time and have common characteristics. People who were born after 2000 are called as the generation Z and are often regarded as…
Descriptors: Age Groups, Expectation, English (Second Language), Second Language Instruction
Martínez, Salvador; Wimmer, Manuel; Cabot, Jordi – Computer Science Education, 2020
Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Uses in Education