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Ole Eggers Bjaelde; David Boud; Annika Büchert Lindberg – Active Learning in Higher Education, 2025
Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…
Descriptors: Undergraduate Students, Academic Achievement, Feedback (Response), Evaluation Methods
Evelyn Steinberg; Stephan Marsch; Takuya Yanagida; Laura Dörrenbächer-Ulrich; Christopher Pfeiffer; Petra Bührle; Lukas Schwarz; Ulrike Auer; Christin Kleinsorgen; Franziska Perels – Advances in Health Sciences Education, 2024
Health sciences students face many challenges in regard to clinical practical learning. A better understanding of student learning is required to address student needs in this crucial phase. The theory of self-regulated learning provides a comprehensive view of learning and could serve as a basis for further research. There are instruments to…
Descriptors: Health Sciences, Workplace Learning, Clinical Experience, Evaluation Methods
Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
Kathryn Mary Rupe – Theory Into Practice, 2025
This article explores the implementation of Olga Torres's Rights of the Learner (Torres's RotL) framework in a 100-level undergraduate mathematics course, particularly focusing on assessment practices. Torres's RotL framework offers a means to center students' voices, mathematical thinking, and humanity in the classroom. The article delves into…
Descriptors: Student Rights, Mathematics Instruction, Power Structure, Self Concept
Bong, Jiyae; Park, Min Sook – Assessment & Evaluation in Higher Education, 2020
This study examines the peer assessment performance of information technology undergraduate students who completed a semester-long group project. They were asked to provide feedback on their peers' contributions and learning processes using a set of indicators delivered in two different prompt types (closed and open-ended questions). The students…
Descriptors: Peer Evaluation, Learning Processes, Student Projects, Information Technology
Schrum, Kelly – International Journal for the Scholarship of Teaching and Learning, 2023
Despite growing pressure to increase technology-enhanced assessment, research has repeatedly demonstrated a lack of widespread meaningful integration of technology in higher education. This is in part due to faculty reluctance which is compounded by lack of training and incentives. This qualitative research grounded in the scholarship of teaching…
Descriptors: Story Telling, Learning Processes, Learner Engagement, Computer Assisted Testing
Ebenezer Afrifa-Yamoah; Esther Adama; Amanda Graf; Kwadwo Adusei-Asante – Journal of the Scholarship of Teaching and Learning, 2024
COVID-19 has revolutionised assessment design and practices in higher education; however, there has been no shift in the objective of enhancing the relationship between assessment and learning that promote the holistic development of students. In this study, we provide an empirical evaluation of the perceived effects of assessment practices…
Descriptors: Evaluation Methods, Educational Practices, Undergraduate Students, Foreign Countries
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö-Barbutiu – International Journal of Mobile and Blended Learning, 2024
Even though the importance of corrective feedback (CF) is widely recognized, there is no agreement on the most effective type of CF for promoting self-regulation. Thus, this study adopts a sociocultural perspective on learning and employs dynamic assessment (DA) as a CF form. DA is considered a theoretically promising approach to CF as it focuses…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Metacognition
Aldosari, Mubarak; Heydarnejad, Tahereh; Hashemifardnia, Arash; Abdalgane, Mohammed – Language Testing in Asia, 2023
Self-assessment and reflective thinking (RT) can arm learners to monitor and evaluate their learning progress. Despite the long history of the core of self-assessment (CSA) and RT, little is known about how they may contribute to learner enjoyment (LE) and learner immunity (LI). Therefore, the current research attempted to propose a model to…
Descriptors: Self Evaluation (Individuals), Second Language Learning, Second Language Instruction, Reflection
Selçuk, Mualla; Sözen, Hasan; Simsek, Vahdeddin; Ipek, Yasemin – Religious Education, 2021
Through a quantitative research model, this study aims to understand the general attitudes of theology students in Turkey regarding online learning during the COVID-19 pandemic. In examining the determinant factors on their attitudes, research findings include: previous online education experience, the frequency of participating in synchronous…
Descriptors: Online Courses, Theological Education, Religious Education, Student Attitudes
Zhuang, Tengteng; Cheung, Alan C. K.; Lau, Wilfred W. F.; Tang, Yipeng – Frontiers of Education in China, 2019
This study reports the development and validation of an instrument, "Undergraduate STEM Educational Process Questionnaire" (USEPQ) to assess the learning experiences of STEM (science, technology, engineering and mathematics)-major undergraduates from the perspective of a conceptualized comprehensive STEM educational process framework…
Descriptors: Undergraduate Students, STEM Education, Learning Processes, Majors (Students)
Izmaylova, Anastasia – Research-publishing.net, 2022
Assessment of students' work in Virtual Exchange (VE) frequently focuses on their participation in the activities and may also include an evaluation of students' learning. In this chapter, we discuss a two-sided approach to assessing students' work in an intercultural VE project. On the one hand, we evaluated students' engagement in the exchange…
Descriptors: Student Evaluation, Cultural Awareness, Second Language Learning, Second Language Instruction